Literature Review of U*S* Consumer
Acceptance of New Personally Owned
Light Duty Plug-in Electric Vehicles
Peer Review
SEPA
United States
Environmental Protection
Agency
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Literature Review of U*S* Consumer
Acceptance of New Personally Owned
Light Duty Plug-in Electric Vehicles
Peer Review
Assessment and Standards Division
Office of Transportation and Air Quality
U.S. Environmental Protection Agency
Prepared for EPA by
ICF International
EPA Contract 68HER21D0016
Task Order 68HERC22F0112
This technical report does not necessarily represent final EPA decisions
or positions. It is intended to present technical analysis of issues using
data that are currently available. The purpose in the release of such
reports is to facilitate the exchange of technical information and to
inform the public of technical developments.
NOTICE
4>EPA
United States
Environmental Protection
Agency
EPA-420-R-23-003
January 2023
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Table of Contents
I. Introduction 1
II. Peer Review Process 2
Selecting Reviewers 2
Administering the Review and Receiving Comments 3
Difficulties Encountered 4
III. Responses to Charge Questions 4
Comment Overview and Summary 4
Comments by Reviewer 7
Comments by Dr. Sanya Carley 7
Comments by Dr. Gil Tal 12
Comments by Dr. Michael Maness 15
Appendix A: Peer Reviews Curriculum Vitae (CV) 21
Appendix B: Conflict of Interest (COI) Forms 60
Appendix C: Notes from peer-review meetings with EPA, ICF, and the contracted peer reviewers 64
Appendix D: Peer Reviewer Selection Memo 71
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I. Introduction
The U.S. Environmental Protection Agency (EPA) sets emission standards for new light-duty vehicles,
which are expected to result in increased numbers of plug-in electric vehicles (PEVs) in the U.S. Light
Duty (LD) fleet. EPA has been conducting a review of the scientific literature to develop a current and
comprehensive understanding of U.S. consumer acceptance of new, personally-owned LD PEVs. This
understanding will enhance EPA's ability to examine the economic and environmental effects of new
light duty standards.
The draft EPA report "Literature Review of U.S. Consumer Acceptance of New Personally Owned
Light-Duty Plug-In Electric" (referred to as the Report) summarizes the current scientific literature
regarding 1) the state of consumer acceptance of new, personally owned LD PEVs, 2) how consumers
become aware of PEVs and progress to PEV adoption, and 3) the obstacles and enablers that hinder
and facilitate new, personally owned LD PEV acceptance. This peer review will evaluate how
accurately and completely the draft literature review represents the current scientific literature
regarding new, personally owned LD PEV acceptance.
EPA's guidelines specify that all highly significant scientific and technical work products shall
undergo independent peer review according to specific agency protocols. This process is designed
to ensure the use of the highest quality science in its predictive assessments and to assure
stakeholders that each analysis/study has been conducted in a rigorous, appropriate, and defensible
way. Therefore, EPA submitted the Report for external peer review to assess whether the framework
applied, content provided, and conclusions drawn reasonably reflect the current state of scientific
literature regarding consumer acceptance of light duty (LD) plug-in electric vehicles (PEVs) among
private consumers (i.e., buyers and lessees) of LD vehicles. ICF facilitated this peer review process.
The peer review was conducted from January to July 2022 in accordance with the current version of
EPA's Peer Review Handbook) At the conclusion of the review process, ICF collected all unedited
peer reviewers' comments and provided them to EPA. This technical report contains a summary of
the reviewers' comments to EPA's charge questions, along with the unedited answers presented by
each peer reviewer. Supporting documentation collected from the reviewers, including their
curriculum vitae (CV) and conflict of interest (COI) statements, is also provided.
The following materials are included in this technical report:
1. Description of the Peer Review Process (Section II)
2. Reviewer Responses to Charge Questions (Section III)
3. Reviewer Supporting Documentation (Appendix A and Appendix B)
1 U.S. Environmental Protection Agency, Peer Review Handbook, 4th Edition, October 2015. Prepared for the U.S.
EPA by Members of the Peer Review Advisory Group, for EPA's Science Policy Council, EPA/100/B-15/001.
Available at http://www.epagov/osa/peer-review-handbook-4th-edition-2015-0, including OMB's Information
Quality Bulletin for Peer Review (Handbook, Appendix B) provisions for the conduct of peer reviews across
federal agencies.
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4. Notes from peer-review meetings with EPA, ICF, and the contracted peer reviewers
(Appendix C)
5. Peer Reviewer Selection Memo (Appendix D)
II. Peer Review Process
ICF conducted the peer review in three stages. First, ICF identified a qualified set of reviewers;
second, ICF contracted with the selected peer reviewers and conducted the review; then, ICF
collected reviewers' feedback on the Report. Finally, ICF documented the peer review process, as
well as the comments and feedback from the peer reviewers in this technical report for submission
to EPA. Ultimately, EPA will convey results of the peer review process to the authors of the Report,
who will respond to the comments received. The following sections provide detail on these steps.
Selecting Reviewers
ICF first identified a pool of independent subject matter experts from which to select three qualified
candidates to form a review panel. Qualifications included two technical considerations. ICF first
assessed the experts' availability to perform the peer review within the timeline agreed upon with
the EPA Contracting Officer Representatives (COR). After that, ICF reviewed academic publications
and other relevant work to select peer reviewers that represented the best qualified candidates to
cover the three focus fields of this analysis:
1. Consumer preference of alternative fuel technologies
2. Behavioral and preference modeling
3. Conducting surveys to assess consumer acceptance of advanced technologies
ICF presented the six candidates based on a combination of individuals originally suggested by EPA
and identified through ICF's research. EPA identified their ideal combination of peer reviewers.
Through an initial contact with the selected peer reviewers, ICF assessed each potential reviewer's
ability to perform the work during the period of performance and to identify any association they
have with the work that would preclude them from being objective. ICF contacted and
communicated with all candidates by e-mail.
Through outreach, ICF provided initial information on the relevant report, including the length of the
material and the expected time commitment. ICF asked the potential reviewers to assess their
availability for this study and for their hourly rate. ICF also collected a curriculum vitae for each peer
reviewer that expressed availability and interest in participating.
Upon completion of the initial contact, the top three peer reviewers selected for this project agreed
to participate in this peer review process. Their resumes were collected and shared with U.S. EPA TO
COR. Upon approval from U.S. EPA TO COR via email, ICF initiated the subcontracting process with
the selected peer reviewers. Below is the final list of the peer reviewers that served on this peer
review panel
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1. Sanya Carley
Indiana University
107 South Indiana Ave
Bloomington, IN 47405:
520-621-0117
scarlev@indiana.edu
2. Gil Tal
University of California, Davis
1 Shields Ave
Davis, CA 9561
530-754-9230
gtal@ucdavis.edu
3. Michael Maness
University of South Florida
4202 East Fowler Ave
Tampa, FL 33620
813-974-6144
m a n es s m @ ysf.edu
ICF anticipated that this selected group of reviewers would provide extensive and complementary
expertise to conduct the peer review. ICF provided an overview of the final list of reviewers in the
February 25, 2022, Peer Review Selection Memo to EPA2.
Administering the Review and Receiving Comments
ICF composed and delivered a charge letter to the three selected along with the literature review
Report, and a conflict of interest (COI) form for peer reviewers to fill out and return to ICF along with
their comments. The charge letter included EPA's charge questions to the reviewers, instructions on
how to complete the review, and a timeline of when comments were due to ICF. ICF sent these
materials to each individual reviewer on May 24, 2022.
ICF then arranged and hosted a teleconference on June 6, 2022, with the selected peer reviewers
and EPA. The goal of the meeting was to introduce the peer reviewers to the EPA staff and address
early questions or concerns. The meeting included an overview of the review process, background
information on the Report, and a discussion on technical and practical aspects. ICF's notes from this
meeting are included as Appendix C.
ICF requested that the peer reviewers provide responses to the charge questions and complete COI
form within two weeks, however Dr. Michael Maness and Dr. Gil Tal requested an extension of the
deadline by one and two days, respectively. All peer reviewer comments and completed COI forms
were received by June 28, 2022. ICF compiled all unedited peer review comments, charge letter
2 Peer Review Selection Memo for Task Order 68HERC22F0112: Peer Review of "Literature Review of U.S.
Consumer Acceptance of Light Duty Plug-in Electric", to Elizabeth Miller, US EPA OTAQ, from: Sam Pournazeri,
ICF.
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information, and attachments into a peer review final report. ICF organized all comments into tables
so that the individual comments could be easily grouped and compared for review purposes. ICF
prepared and submitted a Peer Review Summary Memo that assembled the unedited reviewer
comments for EPA review and delivered the draft report to EPA on July 7, 2022.
Difficulties Encountered
The teleconference was rescheduled twice due to EPA's internal review process, leading to a slight
delay.
III. Responses to Charge Questions
Section 0 presents an overview of the peer reviewers' comments received on the four charge
questions. This overview is followed by the direct, unedited peer reviewer responses to each of the
charge questions. The unedited responses by reviewer appear in a table format. In those tables, the
left column lists the EPA's charge question, and the right column provides the reviewer's comments.
Comment Overview and Summary
The following section summarizes the peer reviewers' comments to the charge questions. The
questions have been abbreviated for easier presentation. These summaries do not rewrite the
responses or supersede the unedited comments provided by peer reviewers.
All three reviewers provided additional comments beyond those requested by the four prescribed
charge questions. Those are not summarized here but are presented in their entirety in Section 2. In
addition. Dr. Maness and Dr. Carley provided extensive comments by section of the report. Dr.
Maness provided direct edits to the Report draft document, which was shared with EPA; those
comments are included in the Additional Comments by Specific Report Chapter section of the table.
Question 1: Does the report provide a current, comprehensive, clear, and accurate summary of
the scientific literature regarding consumer acceptance of LD PEVs among private consumers
of LD vehicles?
The reviewers agreed that the report provides a current, comprehensive, clear, and accurate
summary of the scientific literature available. In fact. Dr. Tal called it the "the most comprehensive
and most up-to date work that can be used by researchers and policy makers."
Both Dr. Carley and Dr. Maness noted that the report touches on most of the relevant areas of
research. Dr. Carley noted that she had a few minor suggestions of other studies the authors could
fold into the analysis of the report. Dr. Tal appreciated that the report successfully tackles the
question while keeping it relevant and condensing the messages in a coherent way. He explained
that the report goes above and beyond the initial motivation of this report providing readers an
understanding of the circumstances that created this market and what can be expected in the
future.
Question 2; Does the Report miss any relevant literature?
All three reviewers provided suggestions regarding missing literature from the report. Dr. Maness and
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Dr. Tal both highlighted subjects where the Report could significantly benefit by looking into some
additional studies. Dr. Tal suggested the report should review the total number of new versus used
car sales, including fleet turnover models that are not directly exploring behavior. He acknowledged
there is limited literature on this topic, however it is worthwhile to include the literature available. Dr.
Maness commented that the report is missing some review papers that would help summarize the
attributes consumers consider in selecting vehicles. He noted there is missing work on incentives
and their effectiveness.
Dr. Carley raised concern about potential missing foundational studies due to the adherence to 2016
studies or later in the report. She added she does not have any specific studies in mind. Additionally,
Dr. Carley suggested the authors review the work of Alan Jen and John Axsen to ensure that the
report captures new or cutting-edge studies from those scholars.
Question 3: Is the organizing framework appropriate to satisfy the following objectives
according to the current scientific literature?
o Capture the range of LD PEV acceptance issues among LD vehicles' consumers
o Identify what motivates LD PEV acceptance among prospective LD consumers and
what stands in their way
The reviewers provided different responses to this charge question. All reviewers appreciated the 4-
A framework presented in the report. Dr. Carley noted the framework is highly effective and will
hopefully be helpful for future research. Dr. Maness expressed that there need to be more
differentiation between adoption and approval. Dr. Tal provided an extensive response to this charge
question. First, he acknowledged that the framework helps categorize the reviewed papers into one
of the four stage categories. He also noted while the framework is based on the decision process of
an individual or a household buying or leasing their first PEV, it does not directly address the impact
of environmental factors, including social effects. He also commented the framework does not
directly address the question of causality but the follow-up questions in the report call for causality
investigation (for more details, see Dr. Tal's bulleted list of sample questions on this charge question).
He suggested acknowledging the type of modeling the reviewed literature used related to casualty.
He explained that many of the studies reviewed in the report are solely presenting descriptive
statistics while other studies have used cross-sectional designs. He raised concern with cross-
sectional designs as they do not establish whether the cause precedes the effects. He provided
examples that validate his concern and cautions the result of false causality or one that stems from
self-selection.
Finally, Dr. Tal suggested adding discussion on causality in social research through the following
methods: direct questioning, variables models, statistical control by including knowledge attitudes
etc., propensity score, sample selection models, longitudinal designs, and structural equations
models. He noted this type of analysis will be important for studies that analyze the impact different
factors on PEV adoption.
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Question 4: Does the Synthesis Contained in the Report Provide Reasonable, Defensible
Conclusions that Accurately Reflect the Body of Scientific Literature regarding Consumer
Acceptance of LD PEVs among Private Consumers of LD Vehicles?
Each of the peer reviewers expressed different views and suggestions regarding the synthesis. Dr.
Carley had no objections and felt that synthesis is effective and summarizes the literature well. She
did note that she offered a few additional topic suggestions in the "additional overall comments"
section of her review that the authors may consider incorporating into the analysis. Dr. Maness
mostly agreed that the synthesis contained in the report provides reasonable, defensible
conclusions that accurately reflect the scientific literature in the report. He commented that some
paragraphs and conclusions sound somewhat anecdotal. He believes the conclusions are accurate
but suggested adding citations to strengthen the perception of accuracy. He noted a few instances
on page 21 in his "comments by specific report chapter" section of his review. Though, there are
others he did not record. Finally, Dr. Tal expressed concern regarding the quality and the relevancy of
the data used for each study. He noted the report cites papers published after 2016 which means
the data was collected between 2010-2019 and reflect the knowledge and behavior of this time
frame. He explains the data is outdated due to the rapid development of PEV technology. He
emphasized that the technology and type of people who buy the technology in its early states are
different from the next generation of buyers. He acknowledged the market growth makes it very
difficult to study this topic. To address this concern, he encourages the authors to add a review table
of the type of data collection, including the time the data was collected. He added it may be useful
to distinguish between studies who focus on current behavior and studies that are trying to use
forecasting methods or changes over time. Lastly, he suggested the authors to hint on the relevancy
of different papers for future casting and policy.
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ewer
merits by Dr. Sanya Carley
CHARGE QUESTION
COMMENTS
Does the report provide a current,
comprehensive, clear, and accurate
summary of the scientific literature
regarding consumer acceptance of
LD PEVs among private consumers of
LD vehicles?
1 think that the report does an excellent job of providing a
comprehensive and complete picture of the literature. 1 have
a few minor suggestions for other studies that the authors
could fold into the analysis in my section specific comments
below, though the authors may deem some of them
unnecessary or too tangential to their focus, which is fine.
Does the report miss any relevant
literature?
See my comment above.
1 do wonder whether the adherence to 2016 studies or later
might lead the authors to overlook any important or
foundational analyses? I don't have any specific studies in
mind here though, I just wanted to flag this in the event that
there are any foundational pieces that were published
before 2016 that could help advance the narrative.
I will also note that there are two specific scholars (among
many) who I consider to be leaders on EV scholarship and
who are pushing the field in important ways: Alan Jenn and
John Axsen. I see several of their studies referenced in the
piece and, although I have no specific additional studies of
theirs in mind, the authors may want to review both of their
work one more time to ensure that they captured anything
new or cutting edge that they have published recently. One
example is this recent piece by Jenn:
https://itspubs.ucdavis.edu/pubIication detail.php?id=3089.
Is the organizing framework
appropriate to satisfy the following
objectives according to the current
scientific literature?
o Capture the range of LD PEV
acceptance issues among LD
vehicle consumers,
o Identify what motivates LD PEV
acceptance among prospective
LD consumers and what stands in
their way.
I really like the 4-A framework and think that it is highly
effective for this piece and will hopefully be helpful for
future scholarship as well!
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CHARGE QUESTION
COMMENTS
Does the synthesis contained in the
report provide reasonable, defensible
conclusions that accurately reflect
the body of scientific literature
regarding consumer acceptance of
LD PEVs among private consumers of
LD vehicles?
I think that the synthesis is effective and does a nice job of
summarizing the literature. I offer a few additional
suggestions in my notes below of other topics that the
authors may consider weaving into the analysis as well, such
as a discussion of what is missing from the literature but
important to know.
ADDITIONAL OVERALL COMMENTS PROVIDED (NOT CHARGE QUESTION-SPECIFIC):
The authors recognize that EV sales/acceptance vary by geography and socioeconomic group, but
might it be worth diving into the disparities covered to date in the literature? While the authors
discuss how several studies have found EV consumers to be higher income and/or more educated,
there is no discussion of what we have learned from studies that evaluate the distribution of
government EV subsidies. See, e.g., Borenstein, S. and L. W. Davis (2016). "The distributional effects
of U. S. clean energy tax credits." Tax Policy and the Economy30:191-234. This may be outside of
the scope of the study, since it is focused on tax incentives rather than consumer preferences and
adoption, but I think that it is at least relevant and revealing.
I really appreciate how well the report is organized. And I love Figure 10. It's such a nice way to
summarize everything into a single figure.
Fleet drivers are also a form of "test drivers" and there are many, many fleet drivers out there.
I think that the piece does a nice job of highlighting that it is not just the actual benefits and barriers
to acceptance that matter, but it is also the perceptions of these benefits and barriers, and that
perceptions often may not match reality (as an aside, I have work with coauthors that we haven't
published that shows that, over time, perceptions and reality have started to converge, but that
misperceptions still persist; it's possible that others have found similarly, though I am aware of no
specific study). This point is made in several sub-sections, but I wonder if it could be pulled out as a
major theme that is prevalent across the full 4-A framework?
Do the authors want to discuss what's understudied in the literature? What is the literature not
addressing? Possibilities:
-Local level dynamics? What happens on the ground to make EVs a priority in local
communities? How to make sure that dealerships have options, fleets are converted, EV
programs are available for underserved populations, etc.?
-How policies fail to encourage EV purchases: there are no teeth on ZEV policies. How to make
them effective? (Note that in our earlier work, we find that early EV sales do not align with ZEV
policies (Clark-Sutton, K., Siddiki, S., Carley, S., Wanner, C., Rupp, J., Graham, J.D. 2016. Plug-in
electric vehicle readiness: Rating cities in the United States. The Electricity Journal29(1): 30-40)
and that EV and GHG policies are highly misaligned (Carley, S., Zirogiannis, N., Duncan, D., Siddiki,
S., Graham, J. D. 2019. Overcoming the shortcomings of U.S. plug-in electric vehicle policies.
Renewable and Sustainable Energy Reviews113:1-10)).
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ADDITIONAL OVERALL COMMENTS PROVIDED (NOT CHARGE QUESTION-SPECIFIC):
-How to extend access to EVs and charging station for underserved populations?
-How supply constraints affect consumer acceptance?
If the authors want to discuss the changing EV policy landscape, they could use the NC Clean
Energy Technology Center's quarterly reports, such as the most recent one:
https://nccleantech.ncsu.edu/wp-content/uploads/2022/05/Q1-
.xecsummarv Final 3.pdf?utm source=iContactSutm medium=email&utm campaig
n=nc-clean-energy-technology-center-
newsletter&i ntent=NCCETC+Mav+2022+News letter.
ADDITIONAL COMMENTS BY SPECIFIC REPORT CHAPTER:
1.1 The Alliance for Automotive Innovation keeps an ongoing web dashboard on EV sales. You may
consider updating your numbers through 2021 with these data?
https://www.aytosinnovataorg/initiativ0s/en0rgv-and-0nvironm0nt/el0ctric-driv0 and
https://www.autosinnovate.org/resources/electric-vehicle-sales-dashboard. If you also want
international data, you could use this: Bloomberg New Energy Finance, "Global Electric Vehicle
Outlook: Executive Summary" (2021), https://about.bnef.com/electric-vehicle-outlook/.
1.2, top of page 5: This comment may be an annoying technicality, so feel free to ignore it. HOV lane
access can actually be monetized. I believe that one study found that in CA, the premium on the
secondary market for hybrids with HOV lane access was about $5,000. Pretty impressive! Other
possible non-financial benefits/barriers may include appreciation of the acceleration, pride in being
an early technology pioneer, and disapproval of the look and other vehicle attributes associated
with the EV.
1.3 I really like your 4-A framework! Well done.
1.3 page 5, under "Adoption": some studies argue that test driving an EV leads one from approval to
adoption. Might it be worth featuring this topic, even briefly, in this section (although I do see
mention of it at the end of section 1.4)?
1.4 You may consider spiffing up Figure 2?
1.4 The main finding is as follows: "In other words, we found no evidence in the reviewed literature to
suggest anything innate to consumers or inherent to PEVs that obstructs acceptance." Based on
my own understanding of the literature, I agree with the authors that evidence is limited but I think
that using "no" before evidence might be a bit strong. I can think of two counter examples: first,
people are limited by their own understanding of EVs (e.g., how far they drive on a single charge);
second, there is some evidence that people face cognitive barriers to assessing the value of an EV
relative to an ICE (see, e.g., a study on how providing monthly cost of ownership figures could lead
to different rates of approval for EVs:
https://www.sciencedirect.com, ).
Section 1: Sorry if I missed this: do you want to acknowledge that this study focuses primarily on the
U.S.? If the intent is not to focus on the U.S., on the other hand, then do you want to pull in more
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ADDITIONAL COMMENTS BY SPECIFIC REPORT CHAPTER:
data and examples from other countries (e.g., what does the early adopter look like in the U.S. vs.
China?)?
2.1 Part of awareness is awareness not just of an EV itself but also of its attributes, costs, and
features, right? Someone could know a decent amount about an EV but still have
misunderstandings about its costs or GHG savings, as just two examples.
2.5 On the topic of economic aspects: note that this depends on what price they must pay for the
car, which is influenced by location, dealership, loan/cash payment, a government incentives. Here
you can note also that not everyone can take advantage of those government incentives when they,
for example, do not pay significant taxes.
2.5 On the topic of safety: note that some perceive the battery to be a fire hazard? Although it is
not clear to me whether these attributes, as discussed in the text, are intended to be actual
attributes or perceptions of them?
2.6.1 and footnote 20: See Dumortier, J., Siddiki, S., Carley, S., Cisney, J., Krause, R., Lane, B., Rupp, J.,
Graham, J. 2015. Effects of providing total cost of ownership information on consumers' intent to
purchase a hybrid or plug-in electric vehicle. Transportation Research Part A: Policy and Practice 72:
71-86. This study finds that the manner in which total cost of ownership is presented to a potential
car buyer has big implications for their interest in an EV.
2.6.1 on the factors that influence purchase decisions: Add ability to pay in cash vs. having to take
on a loan? Add ability to recover expenses through a tax credit?
2.6.1 Might you want to note that not every consumer is able to install a charger at their residence?
If they rent, for example, or own a unit in a multi-family dwelling, they may not be able to install
chargers.
2.6.3 bottom of page 20 and top of 21: See Zambrano-Gutierrez, J., Nicholson-Crotty, S., Carley, S.,
Siddiki, S. 2018. The Role of Public Policy in Technology Diffusion: The case of Plug-in Electric
Vehicles. Environmental Science & Technology 52(19): 10914-10922, which finds that support for
charging infrastructure is an important mediating variable for tax incentive effectiveness.
4.2 (and 6.2 and Figure 9) Again, I encourage you to update your sales figures with Alliance for
Automotive Innovation Dashboard data (https://www.autosinnovate.org/resources/electric-vehicle-
sales-dashboard).
Figure 4:1 wonder if there is value in visually comparing charging stations (as is presented in Figure
4) alongside of EVs sold?
4.3, page 33, on the cost of batteries: Do you want to note that battery availability is a challenge as
well, and specifically the rare earth minerals that are needed for battery production? Another set of
challenges here are the size and compatibility of batteries: the batteries are often so large that they
take up valuable cargo space; and the batteries are rarely (never?) compatible across
manufacturers, which has implications for cost, charging infrastructure, battery swapping business
models, and recyclability/reuse.
4.3, last paragraph: Note that the infrastructure bill devotes a fraction of all charging infrastructure
support to underserved neighborhoods?
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ADDITIONAL COMMENTS BY SPECIFIC REPORT CHAPTER:
6.3, page 46, paragraph that starts with "Jia and Chen...": you could end this paragraph by saying
"and greater effectiveness of tax incentives" (citing Zambrano-Gutierrez, J., Nicholson-Crotty, S.,
Carley, S., Siddiki, S. 2018. The Role of Public Policy in Technology Diffusion: The case of Plug-in
Electric Vehicles. Environmental Science & Technology 52(19): 10914-10922).
Bottom of page 49: You note that there is reason for optimism. But optimism about what? I also
wonder whether it is better to emotionally remain neutral about the fate of EVs?
Bottom of page 49 and top of page 50: I find the following passage confusing: "However, current
PEV adopters are currently concentrated in locations with pro-PEV policies and higher numbers of
charging stations. Indeed, PEV acceptance -awareness, access, and approval as well as adoption -
is higher in favorable locations and among individuals with favorable characteristics. Note that we
use the word "favorable" to describe locations where PEV adoption, charging infrastructure, and
pro-PEV policies co-occur. We also use the word "favorable" to describe the demographic and
psychographic characteristics often associated with current PEV adopters, keeping in mind that
many PEV adopters do not possess these favorable characteristics and thus favorable
characteristics clearly are not necessary for PEV adoption."
7.1, page 51, on the topic of exposure: Here again I think that you could add awareness through a
company's fleet?
7.4, page 56, first full paragraph: Isn't access to charging station incentives another adoption
enabler?
Figure 10: change TOC to TCO (total cost of ownership)?
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lments by Dr. G
CHARGE QUESTION
COMMENTS
Does the report provide a
current, comprehensive, clear,
and accurate summary of the
scientific literature regarding
consumer acceptance of LD
PEVs among private consumers
of LD vehicles?
The return of the electric cars in the last decade, shifting from
"experimental vehicles" used by very few to a product used by
millions, created new interest among the scientific community.
Many scientific studies and almost as many reviews have been
published in the last decade, but this one is the most
comprehensive and the most up-to-date work that can be used
by researchers and policymakers. The most important challenge
that the authors have tackled successfully is keeping it relevant
and condensing the messages in a coherent way. The motivation
behind the report, though not stated, is not only to describe the
current market of PEVs and how they are being used, but to
understand the circumstances (i.e. causality mechanisms) that
created this market and what can be expected in the future given
different scenarios or policies.
Does the report miss any
relevant literature?
A short but important topic is missing from this review, most likely
because of the small numbers of studies that focus on it. The
adoption of new vehicles for the first time only covers a smaller
share of the behavioral change that needs to happen on the way
to clean electric transportation. Most Americans may purchase
their first electric car as a used car while other households will
purchase their second or third PEV and will own a fleet of two or
three PEVs. In some cases, EV owners may go back to driving ICEV
(Internal Combustion Engine Vehicles). 1 believe it will be important
to review the total numbers of new versus used car sales in the
US. It is important to review the limited literature on the topic,
including fleet turnover models that are not directly exploring
behavior.
Is the organizing framework
appropriate to satisfy the
following objectives according to
the current scientific literature?
o Capture the range of LD PEV
acceptance issues among LD
vehicle consumers,
o Identify what motivates LD
PEV acceptance among
prospective LD consumers
and what stands in their way.
The review is based on a four steps model, suggested as the
"stages of consumer acceptance", which helps categorize the
reviewed papers into one of the four stage categories. The first
stage is awareness: the knowledge of PEV existence, availability,
and technical characteristics. The second stage is access: the
PEVs actual availability, including the ability to fulfill driving needs
and charging availability. The third stage is approval: the
willingness to include a PEV in the consumer's next vehicle choice
set, and Finally, the last stage is adoption: the revealed behavior, in
this case, limited to first-time purchase or lease of a PEV. This
model is very useful, and 1 believe it can be used even more in the
Synthesis part of the report. The suggested framework is based on
-------
CHARGE QUESTION
COMMENTS
the decision process of an individual or a household buying or
leasing their first PEV but does not directly address the impact of
environmental factors, including social effects.
This framework also does not directly address the question of
causality but the follow-up questions in the report call for
causality investigation:
o What is the current state of LD PEV acceptance in the
United States among personal-use consumers at each
stage of acceptance?
o How does a U.S. consumer, community, or the nation,
move through the stages of PEV acceptance?
o What enables their progression at each stage of
acceptance?
o What stands in their way at each stage of acceptance?
I believe that it will be important to acknowledge the type of
modeling of the reviewed literature related to causality. Many of
the reviewed studies are only presenting descriptive statistics of
the explored topic while other studies have used cross-sectional
designs to establish a statistical association between awareness,
access, approval, and adoption (usually controlling for socio-
demographic characteristics or using those as explanatory
variables). The Cross-sectional designs do not establish whether
the cause precedes the effect, for example, does public charging
infrastructure cause a market growth? Is it the number of new EVs
that trigger charging installation? Or is there a third instigation,
such as local policy, that generates both charging infrastructure
and EV market growth? By falling short on the criteria of time-
order and non-spuriousness, most studies leave open the
possibility of false causality or one that stems from self-selection.
Causality in social research that is focused on adoption of new
technologies can be explored in many ways and it may be useful
to add some discussion on the topic where applicable. I suggest
exploring the following methods (Including but not limited to):
direct questioning, instrumental variables models, statistical
control by including knowledge attitudes etc., propensity score,
sample selection models, longitudinal designs, and structural
equations models.
This type of analysis will be very important for studies that look at
the impact of any factor directly on adoption such as the impact
of vehicle sales, awareness, access, and charging infrastructure.
-------
CHARGE QUESTION
COMMENTS
Does the synthesis contained in
the report provide reasonable,
defensible conclusions that
accurately reflect the body of
scientific literature regarding
consumer acceptance of LD
PEVs among private consumers
of LD vehicles?
Another methodological concern is the quality and the relevancy
of the data used for each study. This report is based on mostly
papers published after 2016 which, based on academic timelines,
uses data collected between 2010-2019 and reflect the
knowledge awareness and revealed behavior of this time frame.
The rapid change in PEV technology and, in some cases, the
market growth makes it very difficult to study the topic. In many
cases, researchers are drawing conclusions about the future of
PEVs in a manner analogous to studying current smartphones
based on a survey of the first iPhone. In both the case of the
iPhone and electric vehicles in early stages, both the technology
and type of people who buy the technology is very different from
the next generation of buyers. I believe that it will be very useful to
add a review table of the type of data collected (stated
preference, revealed behavior, new car buyers only, all population
etc.), the time the data was collected, and the sample frame. I
think it will be critically important for studies who used revealed
behavior. When applicable, it may be useful to distinguish between
studies who focus on current behavior and studies that are trying
to use forecasting methods or to look at changes over time. I think
that the authors should not be shy of hinting on the relevancy of
different papers for future forecasting and policy.
ADDITIONAL OVERALL COMMENTS PROVIDED (NOT CHARGE QUESTION-SPECIFIC):
1 believe that the report is very good in its current stage, but if the authors would like to address
some of my comments, it may be best to add subsections to some of the existing structure in the
synthesizing part instead of rewriting the report. The current structure is very clear and useful and
very difficult to rearrange. Adding sub sections and appendix tables on causality data sources and
other sources will help the reader gauge the quality and relevancy of the different studies.
ADDITIONAL COMMENTS BY SPECIFIC REPORT CHAPTER:
N/A
-------
iments by Dr. Michael Maness
CHARGE QUESTION
COMMENTS
Does the report provide a current,
comprehensive, clear, and accurate
summary of the scientific literature
regarding consumer acceptance of
LD PEVs among private consumers
of LD vehicles?
Yes. It touches on most of the relevant areas of research.
Does the report miss any relevant
literature?
Yes. There are some review papers that are not
mentioned that would help in summarizing the attributes
consumers consider. There was some missing work on
incentives and their effectiveness.
Is the organizing framework
appropriate to satisfy the following
objectives according to the current
scientific literature?
o Capture the range of LD PEV
acceptance issues among LD
vehicle consumers.
o Identify what motivates LD PEV
acceptance among prospective
LD consumers and what stands in
their way.
Yes. The framework is easy to understand and simplified. 1
think there needs to be a little more differentiation
between adoption and approval.
Does the synthesis contained in the
report provide reasonable,
defensible conclusions that
accurately reflect the body of
scientific literature regarding
consumer acceptance of LD PEVs
among private consumers of LD
vehicles?
Yes, mostly. Some paragraphs and conclusions made
sound somewhat anecdotal - which while 1 believe they
are accurate, additional citations would strengthen the
perception of accuracy. 1 have not noted every instance
(but 1 identify a few in the comments, e.g. p.21).
ADDITIONAL OVERALL COMMENTS PROVIDED (NOT CHARGE QUESTION-SPECIFIC):
The chapter breakdown makes sense and is generally helpful. 1 thought there needs to be more
organization in Chapter 2 (see specific comments) and that some sections of Chapters 3-6
could have subsections for readers to find their relevant areas / get a quick summarized
understanding.
Generally, the enablers/obstacles to adoption are described as being the same between all
stages, but 1 think this misses the point of having distinct acceptance aspects. The sections
delve more into this with specificity (so the sections themselves are actually distinctively
15 1 P a g e
-------
different). But upon initial reading, they end up sounding very similar when you read the first
paragraph or two.
The method of exploring the literature could use some additional explanation. It is good that the
thoroughness of the literature search is explicitly mentioned, but perhaps the base papers that
were used to start the discussion could be mentioned and the search terms used.
ADDITIONAL COMMENTS BY SPECIFIC REPORT CHAPTER:
Would be useful if sections 4.1, 5.1, and 6.1 listed the metrics similarly to section 3.1
The Adoption chapter has some aspects that seem better suited for access or approval and
vice-versa. A framework suggest adoption is that ending process where you have finally fully
deliberated and actually took the plunge. Some of the aspect mentioned help consumer get on
the diving board rather than jump off it.
I have listed specific comments in the attached word document. Unless mentioned explicitly, all
comments are assumed to be able to be improved with the tools available to EPA (mostly time
to write/edit, access to journals).
For the remainder of this section, ICF added Michael's comments from" Literature Review of
U.S. Consumer Acceptance of Light Duty Plug-in Electric" draft.
Section 1.2, Figure 2: I could not see the full text for "Systems/Context" in the image.
Section 1.5, last bullet: Statement seems somewhat circular
Section 2:1 found the sections of this part to bounce around much. I think a summary/outline
paragraph to explain why each section is here/the flow of the sections would be helpful
Section 2.1, Paragraph 1, Sentence, "One such depiction is the five-step consumer purchase
process": This is an existing process? Needs a citation... I know at least the 11th edition of
"Consumer Behavior: Building Marketing Strategy" includes this concept... I do not know if a newer
edition does.
Section 2.1, Paragraph 2, Sentence, "Even if consumers are aware of PEVs, there is evidence that
households seeking to replace a vehicle are less likely to be willing to consider PEVs (i.e., less
likely to approve of PEVs) than those looking to purchase an additional vehicle (e.g., Higgins,
Mohamed, and Ferguson 2017).": The hybrid household / two-car household hypothesis?
Kurani KS, Turrentine T, Sperling D. Testing electric vehicle demand in 'hybrid households' using a
reflexive survey. Transportation Research Part D: Transport and Environment. 1996 Dec 1;1(2):131-
50.
Karlsson S. What are the value and implications of two-car households for the electric car?.
Transportation Research Part C: Emerging Technologies. 2017 Aug 1;81:1-7.
Section 2.1, Paragraph 4, Sentence, "Common criteria considered under alternative evaluation
include several relating to PEV access, including: vehicle and model availability at nearby
dealerships (access in terms of geography); vehicle attribute availability (access to utility);
purchase price, financing options, and financial incentives (access in terms of affordability); and
availability of public charging and/or potential for home charging (access to infrastructure).":
Think this would be nice in a list form
-------
ADDITIONAL COMMENTS BY SPECIFIC REPORT CHAPTER:
Section 2.1, Paragraph 4, Sentence, "[...] but is happening more via other means)": "Can be more
specific, or Is this covered later?"
Section 2.2.1: This section does not really seem focused on its title. Most attention is towards
limitations by body type/size.
Section 2.3: I would generally say the sociodemographic are proxies for other characteristics
(most latent) and constraints. I may suggest stating that there are general characteristics of
consumers and households to make PEV usage easier/harder. Because of the ease of
observations, sociodemographic are used, but they can be fluid/dynamic... a common policy goal
is to make sociodemographic as irrelevant as possible.
Section 2.3.1, Paragraph 1, Sentence/'Specifically, buyers of high-end BEVs (represented by the
Tesla Model S) differed significantly from buyers of low-end BEVs (represented by the Nissan
Leaf) in terms of gender, income, education, and age (Hardman and Tal 2016).": When I first read
the statement, it sounded like an endorsement of these two vehicle models... Consider starting
the statement with the paper authors or "a study found..." and I think you mean Hardman et al.
2016. There is no 2016 article from these authors in the reference list. Hardman and Tal 2021 does
not mention a Nissan Leaf.
Section 2.5, Paragraph 3, Sentence, "Here we describe some of the key attributes relevant to
vehicle purchase decisions and the vehicle features and metrics that relate to them.":
Consider these two review article on attributes:
• Liao F, Molin E, van Wee B. Consumer preferences for electric vehicles: a literature review.
Transport Reviews. 2017 May 4;37(3):252-75.
• Coffman M, Bernstein P, Wee S. Electric vehicles revisited: a review of factors that affect
adoption. Transport Reviews. 2017 Jan 2;37(1):79-93.
Section 2.5, Paragraph 3, Sentence, "[...] engine and related vehicle systems": Suggest to add
electric motors here since it is the PEV's tractive effort source.
Section 2.6.2: Possible additional source: Adepetu A, Keshav S, Arya V. An agent-based electric
vehicle ecosystem model: San Francisco case study. Transport Policy. 2016 Feb 1;46:109-22.
Section 2.6.3, Paragraph 1, Acronym, "EVSE": First mention of this acronym — please define
Section 2.6.3, Paragraph 2, Word, "number": Quantity? Supply?
Section 2.6.3 Paragraph 4: Think this needs some source material.
Section 2.6.4, Paragraph 1, Word, "acceptance": Incentivization form?
Section 3.3, Paragraph 3, Sentence, "Another study focused on PEV adoption in California
showed that one additional BEV or PHEV within a one-mile radius of a Census block group would
increase BEV sales by 0.2 percent in the block group (Chakraborty, Buch, and Tal 2021),
reinforcing the finding that exposure is linked to PEV awareness and subsequent stages of
acceptance.": I cannot find this in this source. Neither the policy brief nor the associated report
mentions this finding. Additionally, it is generally difficult to disentangle self-selection and
correlated environmental factors from social influence.
-------
ADDITIONAL COMMENTS BY SPECIFIC REPORT CHAPTER:
Section 4.2: This section would serve well with subheadings for infrastructure, vehicle availability,
and affordability.
Section 4.2, Paragraph 7: This is repeated from a few paragraphs before.
Section 4.4, Paragraph 2, Sentence, "A long waiting period between ordering and receiving a new
PEV for recent models is another factor that makes PEVs less appealing to some consumers,
especially if the need to acquire a new vehicle is urgent (Matthews et al. 2017b)." You may also
consider this an obstacle to adoption (a person could approve of EVs but their decision
timeframe for a particular purchase is reduced because there actual next purchase was
unplanned (e.g. incapacitated vehicle)).
Section 5.3, Paragraph 1, Sentence, "Thus, the enablers of awareness and access previously
discussed also enable approval. These enablers include exposure, advertising, education,
affordability, incentives, charging infrastructure, and PEV availability.": Does this not work against
the separation into 4 distinct stages. Seems that the enabling of approval is just the previous
stages (increased awareness and better access), not the enablers of those stages. The division
of the section seems to suggest that the enablers are: competitive advantage, acceptable
access, and normalization.
Section 5.2, Paragraphs 4:&5: This seems like competitive advantage.'
Section 5.2, Paragraphs 5&6: This seems like acceptable access
Section 5.3, Paragraph 7, Sentence,"[...] pro-PEV policies is associated with higher levels of PEV
approval": May want to consider these sources on the effectiveness of incentives:
Jenn A, Springel K, Gopal AR. Effectiveness of electric vehicle incentives in the United States.
Energy policy. 2018 Aug 1;119:349-56.
Wang N, Tang L, Pan H. A global comparison and assessment of incentive policy on electric
vehicle promotion. Sustainable Cities and Society. 2019 Jan 1;44:597-603.
Section 5.3, Paragraph 7, Sentences, "Free and low-cost charging also contribute to the intent to
adopt as well as on sales (Maness and Lin 2019). The presence of discounted, free, and/or
designated PEV parking spaces has also been found to increase the intent to adopt a PEV, as do
non-financial interventions, such as HOV lane access." May consider this Scandanavian study
that examines both parking and charging discounting in a SP setting:
Langbroek JH, Franklin JP, Susilo YO. The effect of policy incentives on electric vehicle adoption.
Energy Policy. 2016 Jul 1;94:94-103.
Section 5.3, Paragraph 8: This seems like (social) normalization
Section 5.4, Paragraph 2, Sentences, "Whether and why the benefits of home charging outweigh
concerns about reliability and safety differ from one consumer to the next, which could make a
messaging campaign, for example, effective for one group and counterproductive for another.
Regarding uncertainty, some PEV attributes, such as range, charging practices, maintenance, and
operating costs, are unfamiliar to prospective adopters by virtue of the dominance, maturity, and
inertia of ICEV markets and fueling infrastructure, but ultimately knowable in the short term.
Other uncertainties, such as battery life and infrastructure availability, are unknown in the short
-------
ADDITIONAL COMMENTS BY SPECIFIC REPORT CHAPTER:
term and may remain so for some time. Uncertainties, especially those related to range,
infrastructure availability, and unfamiliar practices (e.g., charging rather than fueling) precipitate
anxiety.": Citations would be helpful here. Risk aversion?
Section 6.1, Paragraph 1, Word, "percentages": Rates?
Section 6.3, Paragraph 1, Sentence, "[...] and thus, enablers at every stage of the 4-A framework
can directly or indirectly enable adoption.": See my similar statement before. I think the list that
follows is more specific that once it is in my consideration set, what steps can be taken to move
towards adoptions, what can make this easier or harder.
Section 6.3, Paragraph 2: A previous section talks about the complexity of tax rebates. It seems
like a complex tax rebate or like the time between incentive receipt and purchase are things that
may inhibit adoption. Those complexities probably have less effect on someone thinking an EV is
worthy of considering (you would need to really dig into the policy to understand this which is
closer to the decision stage and less at gaining awareness/knowing that incentives are possible).
Section 6.3, Paragraph 2, Sentences, "The process of obtaining rebates and tax credits can be
confusing for consumers, and not all consumers are aware that such incentives are available to
assist with the expense of PEV purchases. An additional consideration is that PEV buyers so far
have tended to be those with high incomes, so rebates and incentives may accrue to consumers
already likely to purchase PEVs without an intervention. Some studies suggest that caps on
vehicle price and/or on buyer income can increase the likelihood that the recipient of a purchase
incentive would not have purchased a PEV otherwise, improving the equity of PEV incentives
(Linn 2022).": These seem more like Obstacles.
Section 6.3, Paragraph 3:1 am not sure I see what here changes from approval to adoption. What
about HOV lanes makes someone more likely to adopt after they've added an EV to their
consideration set? It seems like an incentive that confers competitive advantage, which was a
theme in approval.
Section 6.3, Paragraph 4, Sentence, "Expanding charging networks and increase charging
accessibility through interventions, such as increasing the number of public chargers, providing
free or low cost public charging, and subsidizing the installation of at-home chargers, are
associated with higher adoption rates (e.g., Zou, Khaloei, and Mackenzie 2020).":May want to
consider this source that shows that increased fast charging was associated with longer
daily/weekly driving distances:
Neaimeh M, Salisbury SD, Hill GA, Blythe PT, Scoffield DR, Francfort JE. Analysing the usage and
evidencing the importance of fast chargers for the adoption of battery electric vehicles. Energy
Policy. 2017 Sep 1;108:474-86.
Section 6.4, Paragraph 2: I think this makes more sense in the previous section. Along with the
test drive mention. If you visit a dealership, it can often mean you are considering adopting.
Section 7, Paragraph 2, Word, "compromise": Comprise.
Section 7.3, Paragraph 2, Sentence, "Although, monetary and nonmonetary metrics and measures
of approval vary widely, altogether the literature suggests that more than half of consumers
-------
ADDITIONAL COMMENTS BY SPECIFIC REPORT CHAPTER:
believe PEVs are as good as ICEVs.": This does not follow from the prior discussion that about half
of Americans are aware of PEVs (Awareness Synthesis). How could they all then believe PEVs are
at least as good? (I understand these are from varying studies, but from the framework, it just
does not seem logical).
Figure 10: Image has presentation mode artifacts.
-------
Appendix A: Peer Reviews Curriculum Vitae (CV)
-------
S \\N V C.VRl.t.Y
Paul O'Neill School of Public and Knvi momenta 1 .Yffait's
Indiana University. Room A319, 1315 East Tenth Street. Bloom ington. IX 47405
(812) 856-W20; scarlcv "Neill School, Indiana University
Associate Professm. Patii (>"Nei!l School, Indiana I nix eisily
Assistant hofessoi. Paul O'Neill School. Indiana University
I'KOl- I NSiON VI. \n H I VIHSNS
GT Scholar
Affiliated faculty Member. Oslrom Workshop
Research Fellow, t enter for t )rgani/.alicm Research and Design
Research Member, The Richard G. I.ugar ('enter for Renewable b'ncrgv
Member. Scholars Strategy Network
Knt CATION
Universit) of'Xoith Carolina at Chapel Hill. Pli.D. Public Polics. 2010.
Dissuitation Committee; Richard Andrew s (t "liait'K Richard New ell. 1'im Johnson. Gary Henry. Doug
Crawford-Hrown.
University of Wisconsin-Madison. M.S. Urban and Reg, Planning; Certificate lineray Analysis and Policy. 2006,
Sworthmore College. B.A. Keonomie-s; B.A. Sustainable Development. 200?.
AREAS OF RESEARCH
Kncrgv Policy. l-nerwv Kquity and Justice. Kleclrieit\ Markets. Transportation Industry. Knerav-bascd Economic
Development. Poliev Instruments. Electric Vehicles. Distributed Generation. Brewing Industry'
co\si t.T iNf: ami PRrvioes work Kvpfrifvce
("oiisultant Institute lor Internatkmal Business. Indiana 1,'nivcrsiU, Bloomington. IX. 2013.
Consultant, Fmiromnetttal IVotection Agency. Conflict Prevention and Resolution ("enter. WashingtonD.C,
2010.
Consultant. Research Triangle Institute International. Center for Technology Applications. Research Triangle
Park. NC. 2fM»-20H): 2017.
Consultant. \R(""economics. SC., 2007-2010.
("onsuhant. "1 he Nicholas Institute for lm ironmental Policj Solutions. Durham. NC. 200K
Graduate Fellow. t "enter for Sustainable 1'nerjn, lfmironmenl, ami Heononiic Development. Chapel Hill N<.",
2W6-2010
Knergv Program Specialist. Wisconsin IHiblic Utility Institute, Madison. Wl. 2005-200f>.
Independent Contractor, World Bank Group. Development lieonomie Research of the Public Sector, Washington
IXC., 200?-2006,
vIMH 1 " '
3D 10- present
20 P>- present
2016-201')
2014- 201V
2010 - 2014
2010- 2021
2011 - present
201ft - piesenl
2013 - present
2017 - present
1
-------
Honors and awards
Da\ id X. Kershaw Award, Association of Public Policy Analysis and Management 202].
O'Neill Professorship. Paul II. O'Xeill School of Public and Environmental Affairs Indiana University. 2021-
2023,
Woi 1,11 'iti/en Pn/e m Fin itonmental Management. Association of l'ublie Poltc\ Analysis and Management,
2020,
41) 1 nder 40 Award Recipient Midwest Energy News, 2(119.
Campus Catalyst Excellence m Teaching Award, Indiana l'nivursit\ Office of Sustatnabililv, 21)17.
Geoige 1. Trevz Aw aid foi Excellence in Economic Analysis, IkM Papa- Awaid. Regional Economic Modeling,
Inc. 2017.
Must Personable Faculty Award, Student t 'hoice Award, School ol l\ibhc and l;m iromnental Affairs. Indiana
University, 2016.
Best Paper Award for Research in Comparative Policy ,Ynahsis, honored by the Association of Publie Policy
Analysis and Management and the International Comparative Policy Analysis Forum. 2014.
(Hitstanding Junior Faculty Aw ard. < (Slice of the Vice Provost lor Faculty and Academic Affairs and the Office of
the Vice inmost for Research. Indiana I iniversity-Blooininjton, S14.500 reseaieh grant, 2013.
11* Trustees Teaching Award, Indiana Utiiversily-Bloornington. 2012.
Spot Award. Research Triangle Institute International. R I P. XU 2009,
Progress F.nerg\ Fellow. University ofXorlh Carolina at ('hapel Hill. 2006-2010.
Future Faculty Fellowship, I 'mversity of North Carolina at Chapel Hill. 2008.
\merican Planning Association Best Student Presentation Winner. I "pper Midwest American Planning
Association ("(inference. 2005
Morris Udall Scholar. 2002.
BOOKS
Cailey. S,, Lawrence. S. 2014, I ijiei u\-based Economic Development How clean en era v can dri\ e development
and stimulate economic growth. Springer: New York,
Rex icwed in: JtmrnJ nt I'oSkv Aiui!y,\i\ j>k! Matkt^cmcnf. l\ntmmu I\ wLyiftcnt Quarterly,
Pi f I! ok Killihk Rl Mini n Pi i;i i< \noVS
* Denotes student co-author at time of writing
Sovaeool, B.K., Newell, P.. Carltn. S , Kan/u. J. Inequality, technological innovation and sustainable behavior in
our low-carbon, future. Accepted at Xtiimv llimum Hckivwr,
Baker. S.IL < 'arley. S., Konisk). D.M. 2021. Energy insecurity and the urgent need for utility disconnection
protections, ii'iirrp' Pohey.
Ra/iliati. M.I). C arley. S.. Konisky. D„ /erritTi. II. Pai. S.. Hand lei. B. 2021. Expanding the scope of just
transitions' Towards localized solutions and community-level dynamics, /-'nervy Research A- Sck'ul Science 80
Konisky, D.M.. Car ley, S. 2021. \\ hat we can I cam from the Green Xew Deal about the importance of equity tn
national climate policy. Jnuniii! oj / Wter Jr/u/nis hiihi^emcfil 40(3): '*>!>-1002.
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of its legacy and implications for fedetalism. f'ltblni.s: TheJtMitktl rtf /¦'cikhili.sm 51(3). 42*1-458.
2
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analvsis of race, housing conditions. and encrg v burdens iti the I "nited States, Energy Research <6 SocLil Science
79. '
Konisky, D.M.- /iroatannis. X.. < "arley, S. 21121. Building resilience to fee energy transition in Indiana. Book
duplet at •.Cj'teil tin p"Nk\iit.»).
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in tile I "nited States, ke.seuix h if So. tal Seienct 77.
Graff. MA Konisky. D.M.. Carley. S.. Memmott. T.* 2021. Climate elian ge and energy insecuut) , A growing
need for policy intervention, Emirummmkd Justice.
Carle}-. S.. Englc, C\*. Konisky, DM 2021. An analysis of energy justice programs across (he United. States.
Energy Patht 152.
Memmott, T,M, Carley, H., t,iralf. M,*\ Konisky. DAL 2021. Socioeconomic disparities in energy insecurity
among low-income households before and during the COYID-19 pandemic. Witur? Energi- (r 1S6-1<>3.
Flaherts. M("arley. S., Konisks. R.\I. 2020. Kkx-trie utility disconnection policy and vulnerable populations.
The }\k\ tricnyJinirikd 33.
Carley, 5,» Konisky, D. 2020. The justice and equity implications for the clean energy transition. Nature Energy 5.
Htppler. K. \ MatisolT. IX. Chan. G„ • "ailey. S. 2020. A review of banieis in implementing dynamic electricity
pnemg to achieve eost-eausalih I'livitfiimieiikil Research / ellen 15
litaff. XICarley. S 2020 COYID-F) Assistance Xeuds to large! Fnurgy Insecurity. .Wituie ICnergy 5.
Carley, S. 2022, Eaergv Policy. Forthcoming in Environmental Policy, 11"' Edition, Eds, M, E. Knfl, N. I. Vig,
B. G.*R»be.
Carley. S.. Konisky. K.. Atiq, X 1 .and. N.* 2020. Hiicrgy infrastructure. XIMliYism. and public opinion: A
systematic literature review of three decades of empirical survey literature. Environmental Research Letters 15,
Wendling. /A \\ an en. 1).*. Rubin. B., Carley. S„ Richards, K. 2020. An Fneiin-feonom) Econometric Model
for t 'onductmg State-Level F.nerg\ Folic)' Analysis I 'eonttmic IV iv/v/mw ijtuuterh-
Konisky. 1).. .-Vnsolabehere, S.. Carley. S. 2020 t\amming the role of XIMBYKnt in public acceptance of energy
infrastructure, I'nbtie i)pmirm (Juanerly.
Bergquixt. P.*. Ansolabehere. S,. Carley, S.. Konisky, 1). 2020. Baekwu! voices II»«« sense of place shapes
views of large-scale energy transmission infrastructure. Ene.rw Rese«n.h >V- a a w/.'i 'arm 63,
Carley. S.. (Jraff. M,1 2020, A Just U.S. Ivnurgy Transition. In Handbook of t ",S, Fnvironmental Policy. Eds, D.
Konisky. Hdvuird Hlaar IHtblishtng,
Carley. S.„ Konisky, IX 203ll Vhalthc *trreeii New Deal" Means for Business; Protecting At-Risk Communities
Can Be Part of a Stttmu Fnvirmmtental Strategy, IhtrwuJ Hit* mew Renew.
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plug-in electric vehicle policies. RcntM\iHc unJSibmnnthL- I'iicrgy Review1 l.s- 1-H1.
Carley. S.. Ansolabehcre, S , Komskv, D 20)1 Vic all electrons the same'1 Fvaluattttg support for local
transmission lines through a survey experiment. /V,.. Xicholson-Crotty. S._ Siddiki. S. 2019. Evolution of plug-in electric vehicle demand: Assessing
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study of renew able energy policy diffusion, ll'arki Dcu-lupnem 120; 29-45.
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closer look at the energy justice field. I'oliey SmJic\ JouriKti 47(SI): S17-S44.
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sales projections: A total cost of ownership approach, 'Irampnrl /-Vj/kt 75: 70-87,
Jeiin, A.. Haidtnan. S.. Carley. S„ Zhogianms. N . Duncan, 1)., Ciiaham, J. 1) 201'). Cost implications for
automakers" compliance with emission stamtaids from Zero Emissions Vehicle mandate. t'nvu'Miiucuki! M u-iuv
ft 1 cchntilrigy 53(2J: 564-574
Duncan, D,, Ku. A."5". Julian. A,'s. Carley. S,. Siddiki. S.. Zirogiannis, X.. Graham, J.D. 2019. Most Consumeis
Don't Buj Hybrids. Is Rational ("hoiee a Sufficient Explanation? ,//;wnut oj Ik-ndn-t "us! Amih 10( 1). l-?8
I "arley. S„ Yahng, I„ 2018, Willingfiesh-to-paj fur sustainable beer I'l,jS
Zanibrano-Gutierre/. J.11. Nicholson-* "rotty, S„ t "arley, S.. Siddiki. S. 20IS. The Role of Ihihlic Policy in
Technology Diffusion: Hie case of Plug-in Electric Vehicles. hjmrt/imk'iitul Ik-khcc I'kchnoh^y 52f 19):
10914-10922.
Carlev. S.. Xieholson-C rotty. S. 2018 Mo\ing Beyond Theories of Neighborly Emulation: Energy Policy
Information Channels are Plentiliil among American Slates. Energy Rcv^rch andS27,
Zirogiannis. X . <'arley. H.. Duncan. D., Siddiki. S., Graham, J. D. 2018, Fad Economy Standards and the US
Economy. Insight tub) Mamif^viurm^ t'oiu r 2. 1-5.
4
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Graff. M Carley. S„ Komsky. 1 J- 201X. Xtakeholdei perceptions of the 1 'nited Status energy transition1 Local-
lew) dynamic* and community responses to national politics and policy. Ffktgv R^urch & SocLtl Science 43:
144-157.
Carlcy. S.. 1-1 vans, T. P.. Konisky, 1). M, 2<> 18, Adaptation, culture, and the energy transition in American coal
country. /:>k?xv Rct,cjt\ h .?• 'Social Science 37: 133-13''.
Pane, D„ Carle). S., Siddiki S.. Duimnlier.Clark-Suttoti. KA Graham. J, D 2018. All electric vehicles arc
not the same; Predictors of preference for a plug-in hybrid versus a batter) -electric vehicle, / ranspurkttum
Rcit\irch j\iri D" j/"import andL'nvpanmcut 65. 1-13.
Siddiki. S,. Carlo), S.„ Zirpgiannis, X., Duncan, D., Graham. J. 2018. Does dynamic federalism yield compatible
policies? A study of federal and .stale vehicle standards, Policy ftc.stgn lmd Practice 1(3): 215-232.
XtehoIson-< Yottv. S.. < "ariev. S. 2018 Information exchange and policy adoption decisions in the context of U.S.
state etierg) polic), Shite Piditit.s andi\>hty Lhkirtcil} 1S(2): 122-147.
(parley. S.. Baldwin. E,*. MacLcan. L. \L. Brass. J, X, 2017. Global Expansion of Ren enable Energy Generation:
Art Analysis of Policy Instruments, Emtrtmrncnlul taut Kvmiuivc k'ctmumics (>X|2)" 307-440.
Winner of the 2014 Bust Papa' Award for Research in Comparative Policy Analysis, honored by the
Association of ftiblie Policy Analysis and Management and the International t 'umpafative Policy
Analysis Forum.
Carley. S.. Xieliolson-Crotty. S.. Miller, C.* 2017. Adoption. Reinvention. and Amendment of Renewable
Portfolio Standards in the American States. Journal o/1 'ithlic P»hcv 37(4) 1-28.
Baldwin, h\ Carley. S.. Brass. ,1. N,. MaeLean. 1.. M. 2017 Global renewable encijn policy: \ eomp,uati\e
analysis of countries In economic development status. Jimrnal t/fCtmiKinmw i 'oltcy, hulv\i\ l'Jf.3): 277-2l»S,
Davie*. I,. I™ Carlcy. S. 2017.1{merging shadows in national solar policy*? Nevada's Net Metering Transition in
("ontext. The Electricity Jmirnai
Kiause. R„ Latie. R., I 'ariev. S.. Speti J.*, Graham. J. 2016. Assessing the Demand for pleetric Vehicles under
future Cost and Technological Scenarios. IntcriwUrm^ti Jrmnnii oj Sustainable Tt\imj>t)rhiti;m HHb): 742-751,
Clark-Sutton, K.*, Siddiki. S.. Carky. S.. Wannei. < 7?. Rnpp, J,. Graham, J J). 2016. Plug-in electric vehicle
readiness; Rating cities in the United States, The klcclncityJmtrthi! 2l>( 1): .30-40,
Catiev, S. 2016. F.nergv programs of the American Recovery and Reinvestment Act of 2009. Review of Policy
Rc\i.\~mk 33(2): 201-223.
t 'ariev. S. 2016 The Xnsetiean Reco\ erv and Reinvestment Act of 2t)tW: What have we learned? Review of
1 Vj/ict Ko-caich 33( 2)' 114-123.
/irogiannis. X , Alcorn, l':'. Rupp. I, Carley. S.. Graham. .1. 2016. State regulation of unconventional gas
development in the 1 ".S.: An empirical evaluation, l-'ncr^y Rcscurch uiid Socul Science 11 '142-154.
XichoHon-Crott). S.. < 'ariev. S. 20 !»•>, KiTeeth eness. Implementation t'apacitv, and Policy Diffusion: Or, "Can
We Make that Work for 1V.'" Shite Politic* and Policy Ouurterly 1(i( 11 7X-97,
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Pay din. X \ Sehenk, 0„ Mourn. J *. Rowers, A.. < 'ailey, S., Hupp, J., f rraham, J.D. 2015. flic Kffoet of
('ommunity Reinvestment Funds 0111 .oeal Acceptance of 1 'neonventional Gas Development Ecuntmncs of
Energy X- k'uruonnunLiI I 'ahcy 15( 1), 1-26.
Fsposito. DA Rupp, J,. I'aricv. S. 20 S 5, Interaction of risks associated with natural gas and renewable based
electricity I ik, }~'k * U k in Join nit! 28(8): <>lM£4
biddiki. S.. Dumortiet, J.. Curley 1Parley. S„ Krause. K 20] 5 Regulating I'm Irmo\ ation and Technology
Adoption. 1 he ('asc of PhiL'-In Vehicles. Review nt Policy Rtne.tn h 52(G): 64c>-674,
\\ an en, 1).\ \Y'cndltnu. /. X Bowet-Bii, J/'. Fields, II.'1', Ricluuls, K,. t 'arky, S„ Rubin, H. 2015. I Vtimatinu
State and Sub-Slate 1-ennomie !¦ tfeets of a 4 'aibon Dioxide "1 j\ Policy.. An Ypplication of a New Multi-Region
I-ncrgy-F.conomy Econometric Model Regi.iihil Seicnee, Policy and Pretence 7(3): 119-1 .'9.
Mac! can, I., Biuss, J.. ("alley. S.. 11- \rmi. A.'-'. Brum. S,* 2015. Demociacy and the distribution til \tH *5
promoting tene\\able energy in lilies luiimal nf Pk-wluj'ment Studies 51(f>j; 725-742
Dumorticr, J.. Siddiki, S.. Carley, S.. Cisney. J.11, Krause. R.. Lane. B,. Rupp, J., Graham. J. 2015 Effects of
providing total cost of ownership information on consumers' intent to purchase a hybrid or plug-in electric
\ elude. r>tih,spariam>fi Re*.*. uvch Putt A. Policy iind Practice 72: 71-86.
Carley. S.. Nicholson-Crottv. S.. Lis her. LA 2015. Capacity. Guidance, and the Implementation of the American
Rccinuy and Reim estment Act. Pnhhc Adnumshutinn Rc.vw 7511): 113-125,
lira ham. J. 1).. t "isney. Carley, S.» Rupp. J. 2014. Xo time for pessimism about electric cars. Issues in Science
•H- I'eehnnlo^y
t "arluv. S.. II\man. MX 2014. i'he American Rueo\ cry and Ktttn estment Act: Lessons from 1 nuiuy Program
Implementation HlTorts, Stuic ami LrKtil Liavctmient Review 4fi(2): 140-147,
Republished in a January 2021 \ irlual issue on "Cutbacks and Economic Recovery: Lessons for State and
Local (.iovcrnment*. '
Baldwin. FX, Biass. J.. Carley, S.. \ lael .can. L. 2014, Issues of scale in distiibuted generation electrification for
nira I development. IVfRFS: Energy mid Environment.
Warren. D.'". Carley, S„ krause. R„ Rupp, J., Graham, J. 2014. Predictors of attitudes toward carbon capture and
storage using data on world views and < X 'S-speeifie attitudes Science and PuNtc Policy.
Krause, R.. Carley. S,. Warren. IV, Rupp, ,1.. Graham. J, 2014. Xot 1'ndttrMy Backyard: Geographic proximity
and public acceptance of CCS facilities. RnkAnalysis 34(3); 520-540.
Wemlling, 7. A*. Attari. S. '/„ t 'arky. S . Kiause, M. M.t, Warren, D.% Rupp, J.. Graham, J, D. 2013, On the
importance of strengthening model ate beliefs in climate science to foster support for immediate action,
Siht^iiihihiitv 5(12): 51 ^3-5170,
Krause, R,. Oirkv. S.. 1 anu. B., Grahant, J, 2013, Perception and Reality: Public Knowledge of Plug-in Electric
Vehicles. l~!)cit;r Poller 63: 443-440.
lane, B„ X lesser, X.I larlman. IV\ t "ailey. S.. Krause. R.. t iraham, J, 2013, Government promotion of the
electric car. Risk management or industrial policy? I'jiroi'cuiiJvunhtl t;fRi.\k Rctfihaitm 2: 227-245.
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t *arte>, S., kiauvc. R-, Lane, B, Graham, J 21(13. Intent to purchase a plug-in elcctne vehicle: A mmxgt of early
impressions, in large US cites. Transportation Rewjrch Part />„• Transport .mJ Environment 18: 39-45.
Brass, J.. Carley. S._ Nlacl.can. I... Baldwin, 1 2012 Powci for development: An analysis of on-tlie-inound
experiences of distributed generation in the tle\'eloping world. Jwnrfo/Rcriesr tti'Envtrimnkut uikl R^>uic<.'\ 37:
107-136
Carley. S.. Browne. T,* 2012, Innovative U.S Bneigy Policy: A review of states" police experiences. H7/?£V
finertiih! Fjirti ntmhnt 00: 1-14J
Carley, S„ Millur. (\* 2012. Regulatory stringency and policy adoption; Reassessment of renewable portfolio
standards, folk, r SiuJil.s Journal 40(4); 730-756.
Carley. S.. Krause. R.. \\ arren. D.1'. Rnpp. J„ Graham. .1, 2012. Karly public impressions of terrestrial CCS in a
eoal-tntcnsh e slate. Pnvmmmcntitl Aicinx' 'l'i\jmt)ltigy 46: 7086-70l>3.
Gaul. I'*. Carley. S. 2012. Solar set asides and renewable eneigy ccrtificak*. l'ai h lessons from North
Carolina's experience with its Renewable Portfolio Standard, Energy Policy 4S: 460-46*1
Cai lew S.. Andrews. K. I.. 2012. t 'rutting a sustainable I'.S. electricity sector: The question of scale. Policy
.Seit'nLv.v 45(2): "7-121.
Carley. S, 2012. Energy demand-side management: New perspectives for a new era. Journal of Policy Analysis
ami Muriagemcni 31(1): 6-32,
! 'ailey. S . Brown. A., Lawrence. S. 2012. Keotwitiic tkndopnwnt and eneigy l-'iom fad to a sustainable
discipline? Iwontmtic / Vnv/- f-mem Ouanerh• 26(2): 111-123.
Carley. S 2012. National clean energy standards: Experience iiom tile states, frviar of I ,jhcr I<-:svmch 2%X 2).
301-307, Originally printed in SPR-l in^i^hl^, July 2011.
t'arley, S, 2011. Deearboni/ation of the U.S. electricity sector; Are state energy policy portfolios the solution?
filler;^v l-lconamiLf. 33(5): 1004-1023.
Carley. S, 2011. Nomwth e dimensions of sustainable energy policy. l'tkic\, Pohi r ,<• I .'hvirmment 14(2): 211-
229. "
Cailov. S. 2011. 1'he era of state energy' policy innovation: A review of policy instruments. Review of Policy
Rv.^arJi 2H(3l: 265-2»4
fat ley. s„ Lavutnce. S.. Hi own. V. N'mttat'shan. V.*. Benami, IV' 2011. Knergy-Based Economic Development,
Kcn,'»\ihlc Ktthi SmuiihiNc R>n<.w.\ 15< 1). 282-205.
Carle\. S 2010 Historical analysts of t l.S. etectrieitv markets: Reassessing carbon lock-in. Energy Policy 39(2):
720-732
Cat lev. N 2009. Distributed generation: An empirical analysis of primary motivators. Energy Policy 37(5): 1648-
105<>
t *ai ley. S, 200«). Stale renew able energy eleetrieity policies; An empirical evaluation of effectiveness. Energy
1 'uiivy 37(H): 3071-3081.
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I.\\\ -lot KN\I Pi lil.it A MOSS
Carley. S„ Mctscr. X.* Graham. J. 2012. Innovation in the Auto Industry: The Role of the U.S. Environmental
Protection Aucnc). l?uliv ktmro/imoihi! l.^iw tin J Polti\vFontm 21; 3(>7-.^'/).
Carley olsen. S 2006. "1 angled in the Wires: An Viiessniont of"the Fxisting I'.S. Renewable h'nergy i ogal
Framework .Witunl RcxjH„ SiddiK S„ /irojjiannis. \. 2017. "A Xlaeroeeonomie Study of Federal and
State Auto Regulations with RccommemJattorn foi Analysts. Regulators, and Legislators,""
Carley. S.. Davies. L, 2016. '"Nevada \ Net Energy Metering Experience: The Miking of a Policy Eclipse'?"'
Brookings Institution Report.
Carley. S.. Duncan, IX. Hsposito, I).*. Graham, .1. 1).. Siddiki, S.„ /iroyiamiix. N„ 2016. "Rethinking Auto Fuel
F.cotiomv: Technical and Policy Suggestions for the 2016-17 Midtenn Reviews."
Carley. S.. Jasiiwnski. J.. Glassley. Ci.*. SUahan. Altari. S.. Shackelford, S. f Mober 2014, "Success Paths to
Sustainable X LmtilaeUiiing,"
School of Public and Fmirontnental Affairs. 201 1. "Phiy-ht Klectric Vehicles. A IVaetieal Plan for I"1! ogress, "The
report of an expert panel (Contributing author].
Pot ic s kt t'ORi.s vxnWtmi Pu*iks
Poster. 1X. et al 2021. t "ase Study: The Industrial Heartland and the Motor Vehicles Transition, Roosevelt Project
Report.
Carley. S. 2021 'I ransforming America's energy infrastructure; Lessons from lite American Recovery and
Reinvestment Act of 2000. \isknnun Center Report.
Ranni, IX, llarone. A., t 'mle\. S., Poster, D , Grubert. I-!., llaggertv, JL 1 ligdon. J„ Keainc). XL, konisky. IX,
Xliehael, .1,. Michaud, G., Nababe. S.. Peluso, N,„ Robertson, XI. Reames, T. April 2021. Policy Options to
1-liable ati F.quitable Energy Transition. Resources for the Future Report 21-09.
Guevara, T„ Slaper. f . < 'arley, S. Kjnghom. XL, Klaeik, D, Palmer. I. Xlartvn. K... Xtohrman. XfA Williamson,
C/s 2020. "Feonomte. Fiscal, and Social Impacts of the Transition of ITectricity Generation Resources in
Indiana."
Cai lev. s„ Graff, M.*, Koniskv. D.» Memmott, T, 2020. "Survey of 1 lousehold I nergy Insecurity in Time of
et a in."
Cailey, S.. < trail*, XIA. Konisku IX. Memmott. 'I'. 2020. "Survey of Household Energy Insecurity in Time of
C( A ID: Preliminary Results of Wave-2, and Wave-1 and Wave-2 Combined."
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Oailev S . f »bL% I' •••_ Komskv. I). Sullkan. S 20!O. ""State awl I itc.il Fiictg\ Ittslice Programs"" KciwuliNi
Enei%v I'uiuv Ini/ulivc http: cli'b.up,umicli eju files 'RF,p]-( 'arlc\'y<)20otaI.r>dl'
Indiana I "nivetsiU Public Piilies Institute. Fehi-uary 2012, " \n enviionmentalh n.wnd cneisn policy, f )tic ke\ to
Indiana'!, economic future." Policy brief prepared for Indiana policymakers by the Indiana Policy < "hotees linergy
ant) linvironment Commission [t 'ommi,s>,ioii member jntl eontiibuliny atilhor|.
Carle), S , Ihman. M*' Hit "Grand Experiment:" An earlj re\k-v\ of eiteigy-Tekitcd American Recoveu and
Retm eximent Act Efforts f'HW iVutkms Pii/K't licriiV Ri'j'i.rt 3jN.
Cartey. S.. Desai. S., Bazilian. M. Kammeti. I). 2012. Knergy-based economic Je\elopment: l¥ioriti/.int;
opportunities l'or de\ eloping countries. Fi-JiM Working25.2012.
Baldwin, I,.*. Carle}, S.. Gardner. W,11, June 2011. "Demand-side Management and Hnergy Hffietency in
Indiana: A < 'omparison of Policy Instruments," Policy brief prepared for the Indiana Utility Reyulatory
f 'otmnixsion,
The Nicholas Institute. 2009, "".An Evaluation of Utah's Greenhouse Gas Reduction Option*," Technical policy
report prepared for the state of Utah, [Contributing researcher!,
t "arlcyolscn. S . \\«s. S.. 2l)0ft. "Recommendations for the Governor's Taskforee on a Wisconsin Hioindustry
Strategy " White Paper prepared for the Wisconsin's Biuindustry Consoitium Tasklbree.
Carleyolsen. S.. Rude. ,1.. Jenkins. A.. 2006. "1GCC: A Cosf-Benetit Analysis." White Paper prepared for the
Wisconsin Public Service Commission and the Wisconsin 1GCC Governor's Taskforee.
t 'arle\olson. S,. Nlayer, 1',. Scott, L Rude. J. 2005, "Tistiinating L-eonomie \ «lu« of Jefferson t 'aunt) Parks.
Tuils. and Opeti Space," White Papei given t«> the JeiH-rsoti I 'omits Board ol'Kupen t.sors .teffctsoo CiHmtv. Wl.
MrtHAPt BI It \I IONS
Carle). ,*>„ KonisKv. D.M, 2021, Texas. COV1D and a crisis of energy insecurity, / Ik //;//. Febnun 27. 2021.
Carte). S . Konwku D M 2020. Op-ed; State utility shiilulls signal pandemic rtiisen New research shmes a
painful light, hnivokir December 22. 21120
Carley. S, May 201l>. Conducting Research More Efficiently. Bloc post, Association of Public Policy Analysis
and Management A\ ai table here: htty \\ \\ w.appam.orM techn h i ties -1 hr-cond t tci in t!-i esea re h-tn nre-
dl'ieientlv '.'i 'atcaorvlJ 4.
i.'arley. S. August 20IN. A Birthday Celebiatwn lor Ri"S Policies. Bloc post. Beha\ lottral and Social Sciences.
Available here: liltps: social,seienecs.njturc.com channels, 1745-bchinJ-thc-papcr posts 3K242-hapin-birthda)-
SBS
i 'jrlev S, (Jelober 2017. (>p-Fd, Mandates help motorists, economy in the long run. Printed in MeClateln papers,
«'arlcv, S . kortisky. 1) March 2017. i ip-fd: Changes lo Indiana's Solar Folic) Misguided, 'I >w McnU-l mtcs (as
well as numeious other outlet*).
Jasinowski. I., faifcj. }>, 2014, Op-Ed; Sustainable Manufacturing Makes Cents, \Uwiihi+tw/.»Wirthif •
Journal,
30 IP a g e
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("arlev. S„ I iym an. M.® January 12, 2(112. E )p-Etl: ""Green energy is the best route t). Supporting frontline and vulnerable communities in a Green
\ew Deal. i'tiNte Llmmhti nthm Rcvh"tr l. 2011. National clean energy standards: f xperietiec from the states. Sprli Insights.
Si:s I t II n WORKS 1^ I'liCH.Rl .SS
Ross. J.. Carle). S.. Deslatte. A. MTieient Siting of Nuisance facilities Under Regulatory and fiscal
Decentralization: Empirical Hvidenee fjom the Effect of Political Borders on Wind Fauns Location. Revise and
resubmit at Puhhm: The Journal »f Federalism.
1 Ielmke-I xmg. I, Carle)-. S„ Konisk), D. Respotisk cnoss of municipal governments to vulnerable populations
during the U.S. energ) tiansition. Manuscript under /vr/eu-.
Ravikumar. A.P.. et al. Enabling an equitable energ)' transition through inclusive research. Manuscript under
review.
Meekling. J., Aid v. J.1L Carley. S„ Kstv. D.C.. Kotchen, M.J.. Raymond. P A., Tonkonogv, B.. Harper, C..
Sawyer, (.}., Svvcatman, J. Climate change polic\' needs to get public investment right here's how. Manuscript
antler tcriew.
MemmotU 1"., Carley. S„ Graff. M. konisky. D.M. The effects of utilit) disconnection inorataria daring the
("()YIl)-ll) pandemic. .\Lnm.seripl under review.
Carley, S_ t trail'. XL, Konisk). IX.\Iciiimott. T. Household coping strategies from energy insecurity, {forking
paper.
1.0
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Ehmschwender, D.*. Siddiki. S., Caile<,. S Nicholson-Crotty, S. Socio-technical tiansition in American cities.: A
study of transportation electrification. Working paper.
Raimi IX, Barono. A., Carlcy. S.. Fostei, D, Cirubcrt. P.. Ilagg«t\, J., Iligdon. J.. Kearney, M.. Ktmisky, 11..
Michael, J.. Michaud, G„ Nahahe, S., Peluso. N.. Robertson. M,„ Reames. T, Real-world policies for an equitable
energy transition. Working paper.
Yozwiak. M„ Car ley. S„ Konisky, D.M. The role of equit) in early stage energy technology innovation: 'Hie ease
of electric \ chicles. H'orkiug paper.
Grants
"Access to Solar Energy and Energy Insecurity." Co-PI with David Konisk}, SolwmJprofited mprogress.
Lawrence Rerkde> National Laboratory and Justine40 Academic Partnerships, S200.000, 2021-2023.
"I tiliH Disconnection and Energy Insecurity in the I'.S." Co-PI with David Konisky, JPB Foundation. $400,000,
2021-2023.
"! 'tilitv Disconnection Dashboard" t *o-PI with Da\ id Konisky, II * Faculty Assistance in Data Science. S2 (XX).
2021.'
"Midwest Automotive Industry 'livttwilion to Kleetnlicdltoti" I "o-PI with David Komsky and lenntfer Siva. Hms
Roosevelt iVojeet: Industrial Heartland Case Study. S67.01)0, 2020-2021.
"Midwest Aulomothe Indus!iy Transition In Eleetrilicalion" Co-PI with David Koilisky and Jennifer Silva.
Richard <}. I ugar ('enter lor Renewable Energy, S5.000. 2021.
"Flic effects ofC( A ID-14 on household energy insecurity" t *o-PI with David Konisky. National Science
Foundation. SlOl.ooo. 2020-2021.
"The effects of! "OVID-19 oti household energy insecurity" Co-PI with David Konisky. Alfred P. Sloan
Foundation. S44.M8. 2020-2021.
"The effects ol'CO\ 115-1«) on household energy insecurity" Co-PI with Da\ id Konisky, Indiana University t iffice
of \ ice President of Research $20,000. 2020,
•'Economic, fiscal, and social impacts of the transition of electricity generation resources in Indiana" Indiana
I "tility Regulatory Commission. $62,000, 2010-2020.
"Understanding energy insecurity among Indiana Households" Co-PI with David Konisky. Environmental
Resilience Institute. Indiana I "niversitv. SI 16.542. 2020-2022.
"1 'SAFE lYoposal for Ph.D. Day" PI. Alfred P. Sloan Foundation. 510,000. 2018,
"Toward the Diffusion of Sustainable Technologies: The Case of Electric Vehicles" €o-PI with Sean. Nicholson-
Crotty and Saba Siddiki. National Science Foundation, S184.lW6, 2010-2018.
"The Siting of Energy Infrastructure: Public Perceptions and Public Finance Impacts" Co-Pi with David Konisky
and Steven Ansolabehere, Alfred P. Sloan Foundation. $259,900, 2016-2018,
-------
"1 he I" S. l-'nere} and ('linmte Transition: Iggrcgated Impacts of Pohe> on \ ulnerable Populations" PI with Co-
PIs Tom Kvans and 1 Xivid koni^ky. Indiana I nhei sity < 'ollaburatrve Research Grant. C )iTiec of the Vice Provost
of Research. Indiana Unhersih. Sf>.\437. 2(5]<>-2(117.
"Consumer Willingness to Pay for Susta inability: 'lite t 'ase of the Brew ing Industry" PI, (>ffice of the Vice
Provost of Research Aw atd foi Research Methods and Collaboration, Indiana Cnhersih. S4,l)42. 2016.
"Stud\ of thw macro-economic impact of the light-duH vehicle coiporate average foci eCimomy, greenhouse gas
and /cio-etnission \ chicle standards: Phases II and 10" (VPI with John Graham. I )envil Duncan. Saba Siddiki,
and \'tkos /irogiannis. Alliance fot Automobile Manulaetureis. S5'H>.(HKt. 2(116-2017.
"Stmh of the macro-economic impact of the light-duty \ chicle corporate a\ erage liicl economy, greenhouse gas
and zero-emission vehicle standards: Phase I" Co-PI with John Graham. Denvil Duncan, and Saba Siddtki.
Alliance for Automobile Manufacturers. S202.72,r 2015-21)16,
"Informing linergy Polk)' c "hoices in Indiana using an l-'eonomctrie and I'eelmolog) Model," PI with Barry
Rubin. I'aeultj Research Support Prog! .tin. Indiana I "Diversity. S 72,341. 2012-2013.
"Power for Development: Sustaining Small-Scale Electricity Implementation in Africa." PI with Jennifer Brass
and Lauren Macl.can. Faculty Reseat eh Support Program. Indiana University, S74.484. 2012-2015
"Exploratory Study of Risks, Benefits, and Costs of DM' and Alternatives.*' PI with John Graham, \a\ istar.
SfW.StW. 2011-2012.
"XGO Involvement in Sustainable Energy Programs fw International Development"PI with Jennifer N. Brass.
Mitsui Hnvironment Fund. Mitsui & < V. lid. S59.706. 2011-2012.
"ollaborative Provision of I .o\> -("arbon Distributed Mncigv in Developing ('ountries." PI with Jennifer X Brass.
Sustainability Research Development Grant. Indiana Unh ersity Office of Sustainability S15.000, 2011-2012,
"Kiierg\-based Fcimomic I>e\elopmeiit."('u-W with Adrieitne Bro-wn (PI) and Sara 1 .awreiicu (Pi). JRTI
International R&D Grant, R'fJ International. $ft.\000, 2000-2010,
Conference Travel Grant GPSF Travel Award. University of North Carolina at Chapel Hill. $400. 2009
Conference Travel Giant Department of l\iWic Policy, l.'ni\ ersity of North Carolina at Chapel Hill. 1600. 2008.
Grant awarded for travel to Ghana. West Africa, to establish an environmental study abroad program for am East
coast consortium of colleges. Environmental Studies Grant. Swarfhmore College, S10.500. 200],
INVIII- i! I At. kv Lit H Kl'S. WtKLNAKV P.VMT PRLW.W I MlUMOKt/UM LIUNU. I'Kl.MM \1 MJNS
2022: Syracuse I "nhwitv (planned). Association for Public Policy Analysis and Management (planned);
Nature Portfolio Hnergy Community annual meeting (planned),
2021: llan'ard 1 "mversity Pnergy Policy Seminal Series: Texas Hnergy Poverty Research Institute. Midwest
Regional Sustainability .Summit: t'niv ersity of Miami: lVaine View A&M I "niversity. I "f Fit erg y Week
Panel. 1 'nh ersity of Texas at Austin; 1 intv ersity of Houston, Law Center; Niskancn ('enter Infrastructure
Panel; NSF Workshop on Fquity in the Knergy Transition; Indiana University Susta inability Scholars;
«iimate Policy Summit. University of Wisconsin-Madison; Macro-Kneray Systems Speaker Series;
Network of Schools of Public Policy Affairs and Administration (XASP.VA).
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2020: t 'Innate I'alkx. Kmory I 'nivuisilv: NASPAA; l*'m irotimenlal Resilience Institute. Indiana I 'nivwsitv:
O'Neill School Conversation Series. Energy and Environment; O'Neill Honor's. Program; API'AM Ask
the Expert*; GT-Scholars featured presentation; Energy Law Symposium, Texas A&.M
"2013: Ittdiatia State Bar Association. Blooinitiglon, IK; Congressional Research Service. Washington. D.C.;
Department of Energy. Solar Energy Technologies (Hike. Washington. 1School of lhiblic Policy.
I niversity of Mary Ijnd. College Park Ml>. Jolm Glenn College of Public Affairs, The ()hio State
University. Columbus, Oil: Renew able 1 ncrgy Policy Initiative Workshop. l'niversity (if Michigan. Ann
Arbor, Michigan: APPAM conference; U.S. ;Yssnciation of Energy Economics (USAFE) conference.
2018: XI" Searle-Purdue Sehnatter Center Energy Raseaieh Rouiidtable, Chicago. If.; Clean Energy States
Alliance; Resource Energy Demand Analysis Program, I "ttivcrsitv of Wtscons in- Mad tson. Madison. WI;
("enter for 1 oeal. Slate, and Urban Policy. I "niversity of Michigan. Ann Arbor, Michigan: Strategic
Studies Fellows Program. Kelley School oi'Business, Indiana Univ ersily. Bloommgton. Indiana;
APPAM; USAEF.; Energy Policy Research Conference. Midwest Political Science Association (MPSA)
conference; Association lor Public Policy Analysis and Management International Conference,
2017: Innovation, Property Rights, and the Structures of Energy. Property and Environment Research Center
(PERCj, Boyemjti, MT; Environmental IVotection Agency, Ann Arbor, Environmental IVotcction
Agency, Washington D.C.; Electricity Dialogue. Northwestern Univeisity; Association ofPublie Poliev
Ana lysis and Management Webinar. Washington D.C.; Workshop on Durability and Adaptability in
Energy Policy. Resources for the Future; Earth and Mineral Sciences Energy Institute. Pennsylvania State
I 'nivorsth; I 'SAEE; APPAM.
2016: 2016 Austin Electricity < "onforenco. University oft'exas: U.S. Association of Energy Economies, dual
plenary session on I ransportation; South Carolina Journal of International Law and Business
Symposium: University of Texas at \ustin. Regional (liallenges and Opportunities in Energy
Transformations Workshop; APPAM; USAEE; MI'S A.
2015: Panel on National Science Foundation funding. Indiana 1 "niversity; t ".S. Association ofEnergy
Economics. session on E'tieigy Economics Education; Workshop on Manufacturing and Public Policy:
Mini l'niversity. Indiana I 'niversity; Richard G. I.ugar Center for Renewable Energy: University ofl'tah.
S.J. tjuimiev College of Law. 20"' Annual Steelier Symposium; University of North Carolina at Chapel
Hill, t )dum Institute; USAF.E, APPAM.
2014: Kelles School of Business. Indiana I "niv cisitj; Martin School of Public Policy and Administration.
I niversity of Kentucky; Fold School of Public Policy, Universilv of Michigan. APPAM.
2013: .IRPA-E; Centre for Energy Economics and Policy. E'i'l I Zurich; Global Mini-Conference, Indiana
University; Eneisn Student Leaders Association, Indiana I 'niversity: Energy and Climate Seminar Series,
Georgetown University; International Public Affairs Association. Indiana University; I.-*"' .\nnual
Association of SPE'A Ph.D. Students Conference, Indiana 1 "niversity; Kelley School of Business
Renaissance Week. Indiana I 'niveisity; Energy s\steins in Transition t 'onference. Transatlantic Policy
< "onsoitium conference: I "SAFE: APPAM.
2012: Center for Local. State, and Urban Policy. University ol'Michigan; School of Public and Environmental
Affairs Dean's Council Meeting, Indiana University; kelluv School of Business Renaissance Week.
Indiana University; Policy Lecture Series. UNC-Chapel Hill IX'partment of Public Policy: APPAM:
USAEF.
2011: Mini I niv ersily. Indiana 1 niversity. Pli.D. Student Research Seminar. School of Public and
Environmental Affairs. Indiana i 'nivefsitv; APPAM; American Political Science Association;
International Conference on Environmental. Cultural, Economic and Social Suslainability.
2010 Ph.D. Student Research Seminar. School of Public and Environmental Affairs, Indiana I "niversity: Ph.D.
Student Research Seminar. School of Public and Environmental Allairs. Indiana 1 'ni\ ersily: I Inhersity
Research Day. Unh eisity of Noitli Carolina at Chapel Ilill; ("atolina Institute for the Environment Boaid
of Visitors, University of Noith Carolina at Chapel Hill; APPAM; USAEE; SPliA-Spevcr Workshop.
Solar Energy Research < 'enter's conference,
2000: .IPP.VM
2007: RTKC Sustainable Energy Symposium
1.3
34 IP a g e
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2006: Wisconsin V Bio industry Consortium Taskferee. \ ladison, WE
2005: Jefferson ("ountv Board of Supervisors, Jefferson t 'ounty. WE I "pper Midwest Regional Planning
Conference.
Pwi i Cm \ik ok Moi>i k \ iok:
202E Resources lor the I'utuie reseateh and policy woikshop
2020: Association for Public Policy Analysis and Management conference: Association for Public Policy
Analysis and Management student research scries; < '"Meill School Presidential Election energy and
an tronmcnt panel
201'), (VXoill 1) C t "areei Catalyst; < ENeill SPEA Wider World Conference; Association I'm Public Policy
Analysis and Management conference: U.S. .Woeiation of Energy Economies conference
2018. Midwest Political Science Association conference: Association for Public Policy Analysis and
Management International Conference; Association tor Public Policy Analysts and Management
conference: I'.S. Association of Energy Economics conference
2017: Environmental Politics & Governance conference; Association for Public Policy Analysis and
Management conference; U.S. Association of Energy Economics conference
2016: Midwest Political Science Association conference; U.S. Association of Energy Economics annual
conference; Association for Public Policy Analysis and Management conference
2015: U.S. Association of Energy Economies conference; Association for Public Policy Analysis and
Management conference
2014: Association for IHiblie Policy \nalysis and Management conference
2013: Association lor Public Policy Analysis and Management conference. International Public Affairs
Association conference; 1 >,S, Association of Energy Economics conference
2011: U.S. Ass<>eiation of Energy Economics conference; Association for Public Policy Analysis and
X fcmagemuit conference
2010: Vssociation for Public Policy Analysis and Management, conference
2006: Wisconsin Public Utility Institute conference
Si:t rt in> Pi hi k in wn Mum\ Mfyiio\s
Energy New. Network. Januan 14 2022. "( Sliio advocates say there's still a need to knock on doors before utility
shutofts."
Marketplace. November 30. 2021. "Coal prices are high as stockpiles hit new lows."
Fo.OM November 8. 2021. "Home heating bills expected to increase.
Financial Times. < >etober 2*>. 2021. "lite impact of American energy insecurity."
I'.S. News and World Report, June 2!S. 2021. "Public administration and public policy degrees."
National Public Radio. June S. 202E ""Energy justice" nominee brings acth tst voice to Bideii's climate plans."
The Guardian. March 17.2021. "They aren't used to losing': wealthy New York enclave battles over offshore
wmdtarm."
Wired. February 1. 2021. "Biden wants the government to run on EYs. It won't be easy."
t 'XX, t ictohcr 10. 2020. Interview with Fredrtcka Whitfield.
Time. August 31, 2020. "A "tidal wave' of power cuts may lie coming as electric companies resume sltutolls."
'She Washington Post. August 6. 2020. "f'ongiesh under pressuie as states lift electricity sltut-offbanns during
coiotm irus crisis."
IndvStar. August 3. 2020. ""food is more important right nowCt )\'I1)-Il» forces some to struggle paving energy
bills "
National I'uMie Radio, July 28. 2020. ""Tidal Wave" of Power Sliut-( MTs Eottins As Nation Grapples With Heat."
E&E News. April 20. 2020. "How the pandemic upended climate politics."
National Public Radio. June 18, 2019. "Going "zero carbon" is all the rage. But w ill it slow climate change?"
1.4
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The Washington Post. Apul 2. 20 P) "TIhi Energy 202: FPA's irati ath ism finds hump's lollback of ear rales
could cost jobs."
CleanTeehmea. March 3. 20IV. "We nuM keep in mind the eocts of the Green New Deal to vulnerable
communities."
Grist, December 12, 201"The stinkiest, dirtiest, nastiest renew able energy \ ou never heard of."
Esquire. S October 11. 2018. "Mavbe Corisidci Paying SI Mere fur the Kiel, ofBudweiser."
National Public Radio, the Salt, October 13. 20IK, '"Good News for 'Green' Brews; Consumers Say They'll Pay
More for Sustainable Beer."
WTIIB.org, EcoRcport, September 6. 2018.
Hnsia, August 20. 2018. "Xlinitni/ing the downsides of the energy transition."
I'tility One, August 16. 201X. "Moderoi/itw reoewables mandates is no longer about the megawatts."
Science News May 7, 2018, "Vulnerable communities may be adversely affected by the transition to clean
energy." (Similar study printed in five other news outlets).
Nexus Media. January 18. 2018. "Goal Country Knows Trump Can't Save 11."
How Stuff Works. January 18. 2018. "ttentianv's Power Prices go Negative. But Who's. Gutting Paid','"
Convenience Stoic Decisions. January 1'). 2018, '"("-Stores Meet New Intel IX-mands,"
forward Kentucky, November 13, 2017, "Did environmental rules kill mining*? For coal country, that's
yesterday's debate "
Science Daily. October 27. 2017, "Efforts to revive coal industry unlikely to work, may slow job giowth,"
I,Similar story printed in Science Newsline: Nature & Earth. t 'onmton Dreams. I WW Km iromnental
I "monism ("aucus, and the Indiana 1 laily Student)
Grecnw ire, August 2017. "EPA gathers consumer data as it rethinks GIIG standards."
CNB( \ W ashington Times. March 2017, "il! research shows mileage regulations bring long-term benefits but
short-term economy lag," (Reprinted in over 150 other media millets).
Indianapolis Star. March 2017. "Solar energy in crossroads in Indiana" (Reprinted in 24 other soutces).
Inside FYs. March 2016. "I' S. i 'dies Ranked for Plug-in Klectric < 'ar Readiness Portland takes Top Spot."
Similar news reports appear in Autoearr. Tleet N lanagemcnt Weekly, and Greener Ideal.
Herald Times. February 19, 2(116. "II1 Researchers Urge Review of Fuel Economy Standards."
WalletHub. July. 2015. "2015 Most & 1 .east Energy-Expensive States."
Cg Researcher. April 2015. "Sustainability."'
Society Ibi Risk Analysis. Pruss Release, f Jetober 30, 2013, "Residents weigh global benefits and local risks in
views of climate change measures," (Reprinted by 28') other media nutlets across the country).
Freaktmomks, Jul) 24. 2(113. "How Politicians Plug Electric Cars."
Indiana Daily Student April 4. 2013. "Awards granted to outstanding junior faculty."
Inside 1 ligher Ed and WAMC. Northeast Radio, Academic Mimite. March 14, 2013. "Dr, Sanya Carley, Indiana
I niversity < 'onsumer Attitude and Electric Cars."
< "BS, January 7. 2013 ""American Drivers Not Interested it! Electric ("ars."
International New York Times. International Herald Tribune. January 7. 2013. "Will 2(113 be live Year of the
Electric Car?"
New 1 ork Tiroes, December26, 2012, "Gar Buyers l.ack Interest in Electric Cars, Stud\ Says"
Indianapolis 1 Justness Journal. January 2. 2(113. "Report; Plug-in vehicles slow to spark interest in Indy."
W ill' "Weekly Special," September 15, 2011. "Early Adopters."
Will" News. July 1l>. 2011. "Next-Generation Idee trie Vehicle Appears in Bloomingtoti."
AGE Autos, February 23, 2011, "Are < )hama's Million EV's Just Science Fiction?"
Newswise. August 20, 2010. "Energy-based Economic Development: A Fadol'IIere to Stay?"
Ti \( iiim; F.\i-"i Hii m i
f "6"V.- I'ncfgy i'conomtcy unJPdhcy (Graduate level)
School ol"Publie and Em ironmental Affairs, Indiana University.
Spring 2011. Spring 2012. Spring 2013. Spring 2014. Spring 2015. Spring 2016, Spring 2018
-------
I (Graduate UacI)
School oflHiblic and Environmental Affairs. Indiana I mvcrxity.
Spring 21)16. Spring 20IX. Spring 2019. Spring 2021
RfC6- Fnen;\ Justice unJ I'ejlicy Seminal (Motors and Pli.D lev cl)
School of Public and Environmental .Ulairs. Indiana University,
I all 2015. Fall 2017, Kill 201';. Fall 21121
I '450: Research Ik-sign < Undergraduate lc\o1)
School of Public and Em ironmental .VA'airs. Indiana University.
Fall 2015, Fall 2017. Fall 201S
F5"4• Fnett^y JiuiVnm unci Markei\ (Gtaduate level)
School of l\ihlic and Environmental Affairs. Indiana t'unerMty.
Fall 2010. Fall 2011 Fall 2013
J'nSfl: Research f)cMgn(Ph.D. level)
Co-instructor. School of Publte and 1'nv ironmental Allans. Indiana University,
[¦all 201 L Fall 2013. Fall 2014. Fall 2015, Fall 21116
!:'555: Fner^ylL\-mices ,r,\ h'tcslmum Semithir mi l:ner^r unci S/^-ivty (I "ndorgraduato level)
Co-instructor. Institute lor the Environment. I InK crsily of N'orth Carolina at t 'hapcl Hill.
Spring 2009
Professional service
KetVnr and Ko* iincr Sri \ ice;
American Journal of Political Science, < 'limate Policy, Ecological Economics, Heonomie Development Quarterly.
I jiefgies, Energy Economies. Energy Policy, Eneigy Journal. lineig) Research & Social Science, 1 .riviionmental
and Resource Economics Environmental Practice. Environmental Science & Technology. F.thics. Policy &
Environment. Evaluation Review, Geography, Global Environmental Change. International Journal of Business
and Economics. IEEE Transactions on Power Systems. Journal of die Association of Environmental and Resource
Economists. Journal of F.nvnonmental Economics and Management. Journal of Geography and Regional
Planning. Journal of Policy .\nalysis and Management. Journal of Policy History. Journal of Politics, Journal of
Public Administration Research and Theory. National Science Foundation, Nature Energy. Nature Climate
Change. Nature Sustainabilitv. PI t )S (>ne. Policy Sciences. Policy & Society, Policy Studies Journal. Public
Administration Review, Pub litis; ]'he Journal of Federalism, Regulation & Governance. Review of Policy
Research. Renewable and Sustainable Enure) Reviews, Springer Publishing.'. SPEA Insights, State and Local
Government Review, Sustuinahility: Science, Ptaetiee & Policy. Transportation l.etteis, Transportation Research
Part D: Transport and Environment. Utilities Policy
Professional, National. and Mate Sernci-
Author, Filth National Climate Assessment Report 2021-2023.
Technical Advisor) Council. National Renewable Energy Laboratory, 2021-present,
Enersn Justice Research Network. 2021.
Ad\ ison Council, Alfred P. Sloan Foundation, Fncrgy and Km irormienl Program, 2020-preseiif
('o-editot,./«««)«/ t/f I'tiliey.hktlysis and hkiiuiiy.meni. 201X-present.
Treasurer, Association of Public Policy and Analysis. 2019-2020.
Managing Editor. Journal ofl'ohcy ,in*tiy,\i\ and Mtmjgemem. 2017-2018.
Peer Review Committee Member. FPA Response Surface Methodology. 2017.
VP for Academic Affairs. U.S. Association of Energy Economies, 2018.
Secretary Treasurer. I'.S, Association of Energy Economies. 2015-2016.
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1 ditonal Board, /•Vi7«il /-pieseni),
Chair member. MPA Admissions Committee, O'Neill School. 2013-2014, 201')-present,
t "hair. Policy Analysis and Public Finance Faculty I iroup. 2016-201'),
Member. Faculty 1 firing «'ommittee, Dean. School for Public and Environmental Affairs, Indiana University,
2018-201!).
Member, Faculty I thing < "ommittee. Social Policy, School for Public and Environmental Affairs, Indiana
University, 2018-201').
Membei. Promotion and Tenuie < 'ommittee. Indiana University Northwest. 2017.
Chair, Policy Committee. School lor Public and Environmental .Vlfairs. Indiana University. 2015-2016.
17
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Pli.D. Public Affairs Program Committee «r Reader. School for Public and I*.«\ irimmenlal Affaits. Indiana
University. 2015-2016. 2017.
Chair. Environmental Policy Search Committee. School for Public and Environmental Affairs, Indiana
University. 2014-2015.
Policy Committee, School for Public and Environmental Affairs. Indiana University. 2014-2016,
Budgetary .Vlfairs Committee, School for Public and Environmental Affairs. Indiana I 'ni\ursit\, 2014-2!) 10.
faculty Advisor. Energ) Student Leaders Association, Indiana University, 2012-present,
Environmental Policy Ph.D. Exam Committee. School for Public and Environmental Affair*. Indiana University,
201.5-2014. ad hoc,
Faculty Hiring ('ommittee. Industrial Ecology and Lite-Cycle Assessment. School fur Public and Environmental
Affairs, Indiana University. 2011-2012.
Faculty Hiring Committee. MPA Program Director, School lor Public and Km ironmental Affairs, Indiana
I 'nivcrsity. 2011 -2012.
Member, Hiring Priorities Committee. Policy Analysis and Public Finance faculty group. School for Public and
Environmental Affairs. Indiana J 'nivcrsity. 2011-2012.
Faculty Hiring Committee, Energy Policy. School foi Public and Environmental Affairs, Indiana 1 "nivcrsitv.
2010-2011,
Committee Member, Ener«v Concentration, School for Public and Environmental .UTairs, Indiana University.
2010-2011.
Ph.D. Dissertation f "ommittee Member:
Laura 1 Iclmkc-Lonfl. 2022: Michelle I trail". 2021: Arthur Ku. 2020: Ian /hengyan, 2020: Adam Vbclkop
2017; Vu /hang. 2017; Jose Iraeheta, 2020; Dave Warren. 2017; Sojin Jang, 2017; Jessica Aleoin, 20 10;
Zaeh Wendling. 2016; Elizabeth Baldw in. 2015; Shuang Zhao. 2015
Ph.D. Program Committee Member, School of Public and Environmental Affairs, Indiana University:
Maddy Yon\iak 2021; Detdi'a Milliard 2020: 'Irevur Memniott 2020: 7,ova Atiq, 2019: Lama Ilelmke-
1 .ong. 2018: Michelle Graff. 2017: Arthur Kit, 2017: Ian /hengyan. 2018: /ichao Yti. 2016; Michelle
Lee. 2016; Yu /hang. 2014: Jessica Alcom. 2014; Ben Inskcep. 201?: Xavced Pavdar. 201?: Chris
Miller. 2012: Elizabeth Baldwin. 2012; Dave Warren. 2011; Zaeh Wendling, 2011: Shuang Zhao, 2010.
Honors Undergraduate or Graduate Thesis Committee Member;
Kylic Clouse. Indiana University. 2021; Bailey Decker, Indiana University, 2019; Mason Walther.
Indiana 1 'nuersity, 201'): Damon Smith. Indiana 1 nh ersity, 2015; Chip tiaul. Department of Public
Policy, I nhersit) of North Carolina-Chapel Hill. 2011; Minor Boiami, Department of Economics,
University of North Caroitna-Chapel Hill. 2010; Rachel Escobar. Depart, of International Studies,
University of North Carolina-Chapel Hill, 2009: Jessie Prcntiee-Dunn. Dqrart. of Public Policy,
t ni\ ersity of North Carolina-i "hapel Hill, 2007,
Puni i ssiio \i Mi \iih RMiir
Association for Mi lie Policy Analysis & Management 1 AIT AN I)
Association of Collegiate Schools of Planning (ACSP)
Midwest Politic;! 1 Science Association (MPSA)
International Association of Energy Economists (LIEE)
United States Association for Energy Economics (USAEE)
1.8
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CURRICULUM VITAE
Gil Tal Ph.D.
Current Positions
Director, The Plug-in Hybrid & Electric Vehicle (PH&EV) Research Center, University of
California, Davis
Admission Advisor, Graduate Groups in Transportation Technology and Policy (TTP),
University of California, Davis
Faculty Member, Energy Graduate Group, University of California, Davis
Education
Ph.D. Transportation Technology and Policy, 2008 University of California at Davis
M A. 'magna cum Lauda' Geography: Environmental Planning and Policy, 2001 The
Hebrew University Jerusalem
B A Geography, sociology & anthropology, 1999, The Hebrew University Jerusalem
Professional Experience History
2016-Current
2014-Current:
2014-Current:
2014-2018:
Transportation
2010-2014
Member of the Faculty, Graduate Groups in Energy (EGG)
Member of the Faculty, Graduate Groups in Transportation
Technology and Policy (TTP)
Professional Researcher, Institute of Transportation Studies,
University of California, Davis
Transportation Research Director, The China Center for Energy and
2008-2010
2002-2008
1998-2002
1999-2002
Postdoctoral Researcher, Institute of Transportation Studies,
University of California, Davis
Postdoctoral Researcher, University of California Berkeley.
Research assistant, University of California at Davis.
Consultant Transportation planning
Graduate Student Researcher, The Hebrew University Jerusalem
Editorial and Advisory Boards
2020-2028 Member of the Standing Committee on Alternative Fuels and
Technologies, Transportation Research Board (TRB) The National
Academies of Sciences, Engineering, and Medicine.
2020-2023 Member, Technical advisory board, EV WATTS Project Advisory
Committee.
2019-2021 Committee Member in the advisory Committee of the Behavior
Energy and Climate Conference.
l
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jations
Jourrui
2022
2022
2022
2021
2021
2021
2021
2021
2021
2021
2021
Committee Member in the Technical Advisory Board, Autonomous
Vehicle Heaven or Hell? Creating a Transportation Revolution That
Benefits All, The Greenlining Institute,
Tsoi, Ka Ho, Becky PY Loo, Gil Tal, and Daniel Sperling. Pioneers of
electric mobility: Lessons about transport decarbonisation from two
bay areas Journal of Cleaner Production 330; 129866.
Debapriya Chakraborty, David S Bunch, David Brownstone.
Bmgzheng Xu, Gil Tal, Plug-in electric vehicle diffusion in California:
Role of exposure to new technology at home and work, Transportation
Research Part A: Policy and Practice, 156 133-151
Chakraborty, Debapriya, Scott Hardman, and Gil Tal; Integrating plug-
in electric vehicles (PEVs) into household fleets-factors influencing
miles traveled by PEV owners in California, Travel Behaviour and
Society 26: 67-83.
Muratori, Matteo; Alexander, Marcus; Arent, Doug; Bazilian, Morgan;
Dede, Ercan M; Farrell, John; Gearhart, Chis, Greene, David; Jenn,
Alan; Keyser, Matthew; . The rise of electric vehicles—2020 status
and future expectations. Progress in Energy, 3(2); 22002.
Chaitanya Karanam, Vaishnavi; Tal, Gil;. Emission Implications of
Plug-in Hybrid Electric Vehicles Through an Empirical Exploration of
Engine Starts. Transportation Research Record,
10.1177/036119812110.
Raghavan, Seshadri Srinivasa; Tal, Gil; . and technology implications
of electromobility on household travel emissions. Transportation
Research Part D: Transport and Environment, 94:102792.
Hardman, Scott; Tal, Gil;. Understanding discontinuance among
California's electric vehicle owners . Nature Energy, 6(5): 538-545.
Davis, Adam Wilkinson; Tal, Gil;. Investigating the Sensitivity of
Electric Vehicle Out-of-Home Charging Demand to Changes in Light-
Duty Vehicle Fleet Makeup and Usage: A Case Study for California
2030 . Transportation Research Record, 2675 (10), 1384-1395.
Benoliel, Peter; Jenn, Alan; Tal, Gil;. Examining energy uncertainty in
battery bus deployments for transit agencies in California,
Transportation Research Part D: Transport and Environment, 98:
102963.
Xu, Bingzheng; Davis, Adam Wilkinson; Tal, Gil; . Estimating the Total
Number of Workplace and Public Electric Vehicle Chargers in
California . Transportation Research Record, 2675 (12), 759-770.
Hamza, Karim, Chu, Kang-Ching; Favetti, Matthew; Benoliel, Peter
Keene; Karanam, Vaishnavi; Laberteaux, Kenneth P; Tal, Gil;.
41 |P a g e
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2cn
2020
2020
2020
2020
2020
2019
2019
2019
2019
Comparisons of Real-World Vehicle Energy Efficiency with
Dynamometer-Based Ratings and Simulation Models. World Electric
Vehicle Journal, 12(4): 181.
Sugihara, Claire; Sutton, Katrina; Davis, Adam. Karanam, Vaishnavi;
Tal, Gil;. From sport to eco: A case study of driver inputs on electric
vehicle efficiency. Transportation Research Part F: Traffic Psychology
and Behaviour. 82; 412-428.
Jenn, Alan; Lee, Jae Hyun; Hardman, Scott; Tal, Gil. An In-Depth
Examination of Electric Vehicle Incentives: Consumer
Heterogeneity and Changing Response Over Time. Transportation
Research Part A; Policy and Practice, 132: 97-109.
Srinivasa Raghavan Seshadri; Tal Gil. Influence of User
Preferences on the Revealed Utility Factor of Plug-In Hybrid
Electric Vehicles. International Journal of Sustainable
Transportation, 11(1); 6.
Lee, Jae Hyun; Chakraborty, Debapriya, Hardman, Scott; Tal, Gil.
Exploring Electric Vehicle Charging Patterns: Mixed Usage of
Charging Infrastructure. Transportation Research Part D; Transport
arid Environment, 79(220): 102249.
Debapriya Chakraborty, Scott Hardman, Gil Tal Why do some
consumers not charge their plug-in hybrid vehicles? Evidence from
Califomtan plug-in hybrid owners. Environmental Research Letters,
15(8): 084030.
Wei Ji, Gil Tal,. Scenarios for Transitioning Cars from Internal
combustion engine vehicles to battery electric vehicles and plug-in
hybrid electric vehicles Using Household Level GPS Travel Data.
Transportation Research Part D, 88: 102555.
Hardman, Scott; Berliner. Rosaria; Tal, Gil Who will be the Early
Adopters of Automated Vehicles? Insights from a Survey of Electric
Vehicle Owners in the United States Transportation Research Part
D: Transport and Environment, 71: 248-264.
Chakraborty, Debapriya; Bunch, David S; Lee, Jae Hyun; Tal, Gil.
Demand Drivers for Charging Infrastructure-Charging Behavior of
Plug-In Electric Vehicle Commuters Transportation Research Part
D: Transport and Environment, 78: 255-272.
Lee, Jae Hyun; Hardman, Scott; Tal, Gil. Who is Buying Electric
Vehicles in California? Characterizing Early Adopter Heterogeneity
and Forecasting Market Diffusion. Energy Research & Social
Science, 55: 218-226.
Berliner, Rosaria M ; Hardman, Scott; Tal, Gil. Uncovering Early
Adopter's Perceptions and Purchase Intentions of Automated
Vehicles: Insights from Early Adopters of Electric Vehicles in
California. Transportation Research Part F: Traffic Psychology and
-------
Behaviour, (80)712-722
2013 Hardman, Scott; Berliner. Rosaria; Tal, Gil;. Who will be the Early
Adopters of Automated Vehicles? Insights from a Survey of Electric
Vehicle Owners in the United States, Transportation Research Part
D; Transport and Environment, 71: 248-264.
2019 Cane pa. Kathryn; Hardman, Scott; Tal, Gil;. An Early Look at Plug-
In Electric Vehicle Adoption in Disadvantaged Communities in
California, Transport Policy, 78: 19-30,
2019 Hardman, Scott; Lee, Jae Hyun; Tal, Gil. How Do Drivers Use
Automation? Insights from a Survey of Partially Automated Vehicle
Owners in the United States. Transportation Research Part A:
Policy and Practice, 129: 246-256.
2018 Hardman, Scott; Jenn, Alan; Tal, Gil; Axsen. Jonn; Beard, George;
Daina, Nicolo; Figenbaum, Erik; Jakobsson, Niklas; Jochem.
Patrick; Kinnear, Neale; Plotz, Patrick. Pontes Jose; Refa, Nazir;
Sprei Frances. A review of consumer preferences of and
interactions with electric vehicle charging infrastructure.
Transportation Research Part D: Transport and Environment, 62
508-523.
2018 Hardman, Scott; Tal, Gil. Who are the Early Adopters of Fuel Ceil
Vehicles? International Journal of Hydrogen Energy, 43(37):
17857-17866.
2017 Yunshi Wang, Daniel Sperling, Gil Tal, Haifeng Fang. China's
electric car surge. Energy Policy, 102: 486-490,
2017 Scott Hardman, Amrit Chandan, Gil Tal, Tom Turrentine. The
Effectiveness of Financial Purchase Incentives for Battery Electric
Vehicles - /I Review of the Evidence Renewable & Sustainable
Energy Reviews, Renewable & Sustainable Energy Reviews, 80:
1100-1111.
2018 Tal Gil, Michael Nicholas. Exploring Impact of the Federal Tax
Credit on the Plug-in Vehicle Market. Transportation Research
Record series Journal of the Transportation Research Board, 2572:
95-102.
2016 Hardman Scott, Gil Tal. Exploring the Decision to Adopt a High-
End Battery Electric Vehicle- Role of Financial and Nonfmancial
Motivations. Transportation Research Record series Journal of fie
Transportation Research Board, 2572: 20-27,
2015 Ji, Wei Nicholas, Michael Tal, Gil. Electric Vehicle Fast Charger
Planning for Metropolitan Planning Organizations; Adapting to
Changing Markets and Vehicle Technology. Transportation
Research Record: Journal of the Transportation Research Board,
(2502) 134-143.
4
43 IP a g e
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2014 Tal, Gil, Nicholas, Michael A, Davies, Jamie, Woodjack. Justin.
Charging behavior impacts on electric vehicle miles traveled; who
is not plugging in? Transportation Research Record, 2454(1): 53-
60.
2013 Nicholas, Michael, Tal, Gil. Dynamics of workplace charging for
plug-in electric vehicles: How much is needed and at what speed?
World Electric Vehicle Journal, 6(4): 819-828
2012 Tal, Gil and Susan L. Handy. Measuring Nonmotonzed
Accessibility and Connectivity in a Robust Pedestrian Network.
Transportation Research Record: Journal of the Transportation
Research Board 2299, 48-56.
2012 Salon, D„ M.G. Boarnet, S. Handy, S. Spears, and G. Tal. How Do
Local Actions Affect VMT? A Critical Review of the Empirical
Evidence. Transportation Research Part D; Transport and
Environment 17, no. 7 : 495-508.
2012 Woodjack, Justin, Dahlia Garas, Andy Lentz, Tom Turrentine, Gil
Tal and Michael Nicholas. Consumers' Perceptions and Use of
Electric Vehicle Range Changes over Time Through a Lifestyle
Learning Process. Transportation Research Record 2287, 1-8.
2011 Tal, Gil and Galit Cohen-Blankshtain. Understanding the Sources
of Overestimation Bias in Studies of Travel Demand Management
Policies; Optimism Bias Versos Scientific Skepticism.
Transportation Research Part A: Practice and Policy. 45 (5), 389-
400.
2010 Tal, Gil. and Susan L. Handy. Travel Behavior of Immigrants:
Analysis of 2001 National Household Travel Survey. Transport
Policy, 17 (2) 85-93.
2008 Tal, Gil. Overestimation Reduction in Forecasting Telecommuting
as a TDM Policy. Transportation Research Record, 2082 (1) 8-16.
2008 Tal, Gil, and Susan L. Handy. Increasing Children's Biking for Non-
School Purposes Lessons from the Davis, CA 'Bike to AYSO"
Program. Transportation Research Record, 2074 (1) 40-45,
Journals Submitted
2021 Ahmet Mandev; Patrick Plotz; Frances Sprei; Gil Tal, Empirical
charging behavior of plug-in hybrid electric vehicles. Transportation
Research Part D. " SUBMITTED "
2021 Chaitanya Vaishnavi Karanam; Co-Authors: Adam Davis; Claire
Sugihara; Katrina Sutton; Gil Tal. From Shifting Gears to Changing
Modes The Impact of Driver Inputs on Plug-in Hybrid Electric Vehicle
Energy Use & Emissions, Transportation Research Part A, **
5
44 i P a g e
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SUBMITTED "
Book Chapters
2013 Mokhtarian Pat and Gil Tal: Impacts ofiCT on Travel Behavior: A
Tapestry of Relationships, Jon Shaw, Jean-Paul Rodrigue and
Theo Notteboom, (ed), Transport Handbook, Saga Publication,
London. 241.
2018 Yan Xing, Gil Tal, Yunshi Wang, Ying Liu, Xiaohua Ding, Pinxi
Wang, Wenjie Wang: A Comparison of Plug-in Electric Vehicle
Markets Between China and the U.S. Based on Surveys, Blue
Book of New Energy Vehicles, SOCIAL SCIENCES ACADEMIC
PRESS(CHINA) 2011.
2020 Gil Tal, Ken Kurani Alan Jenn, Debapriya Chakraborty. Scott
Hardman, Dahlia Garas: PEVs in the US: Policy Evolution and
Behavioural Perspectives, Marcello Contestable. Gil Tal and
Thomas Turrentine, (ed), Who's Driving Electric Cars -
Understanding Consumer Adoption and Use of Plug-in Electric
Cars, Springer Nature Switzerland AG.
2020 Yan Xing, Gil Tal, Yunshi Wang: PEVMarket Research on
Consumers in Xix Cities in China, Marcello Contestabile, Gil Tal
and Thomas Turrentine, (ed), Who's Driving Electric Cars -
Understanding Consumer Adoption and Use of Plug-in Electric
Cars, Springer Nature Switzerland AG.
Books Edited
2020 Who's Driving Electric Cars: Understanding Consumer Adoption
and Use of Plug-in Electric Cars, Contestabile Marcello, Gil Tal,
Thomas Turrentine, (ed), Springer Nature, Switzerland,
Grants and Contracts
Grants Active
6/1/2019 - Grant #65A0730, $300,000, Principal Investigator, DCFC
9/30/2022 Evaluation, Caltrans
10/1/2019 - Grant #600-19-007, $400,000, Principal Investigator, Innovative
9/30/2022 Mobility Impacts on Electric Vehicle Infrastructure, CA Energy
Commission,
02/01/2019 - Grant #65A0720, $120,000, Principal Investigator, Electric Bus and
03/31/2021 Train Infrastructure, Caltrans,
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08/01/2018 - $25,000, Principal Investigator, Together in a Sustainable
12/31/2020 Transport Dream at the Two Bay Areas (One Dream, Two Bay
Areas), UC Davis
03/01/2019 - Grant #18CAR030, $100,000, Principal Investigator, VMT of
10/1/2021 Alternative Fuel Vehicles, California Air Resources Board,
Percentage
04/01/2019 - Grant # 18RD027, $49,869, Principal Investigator, White Papers -
03/21/2021 CA Transportation Landscape, GARB
10/1/2018 - Grant #CCRP0017, $70,000, Principal Investigator, Climate Smart
9/30/2021 Transportation and Communities Consortium: Task 3, Strategic
Growth Council (SGC)
06/01/2017 - Grant #16RD009, $650,000. Principal Investigator, Emerging
03/31/2021 Technology Zero Emission Vehicle Household Travel and
Refueling Behavior, California Air Resources Board
Selected Grants Completed
02/01/2016 - $400,000, Principal Investigator, Driving Research and Leadership
12/31/2020 in Buildings and Transportation Efficiency by engaging veteran and
ROTC students on research projects in building and transportation
technologies and analytics; Plug in Electric Vehicle Decision
Making Data Based Tools, US Navy, Percentage Effort=30%
7/1/2017 - $180,000, Principal Investigator, Exploring the Potential of Pfug-in
2/28/2019 Hybrid Electric Vehicles in Reducing Equivalent Greenhouse Gas
Emissions at the Vehicle and Household Levels, Toyota Motor
Corporation
10/01/2014 - $200,000, Principal Investigator, The Dynamics of Plug-in Electric
12/31/2018 Vehicles in the First and Secondary Market and their Implications
for Vehicle Demand, Durability, and Emissions, California Air
Resources Board
03/01/2016 - $207,000, Principal Investigator, Consumers and Advance Design
12/31/2017 Vehicles, BMW
10/01/2017 - $90,000, Principal Investigator, Expanding the UC Davis GIS EV
10/01/2018 Planning Toolbox, NCST
11/01/2014 - $168,000, Co-Principal Investigator, eVMT Analysis as, Michael
09/30/2015 Nicholas (Principal Investigator), Oak Ridge National Lab (GRNL)
04/04/2012 - $400,000, Co-Principal Investigator, GIS Toolbox, Michael
07/30/2015 Nicholas (Principal Investigator), UCLA Subcontract on CEC Award
08/01/2018 $120,000, Co-Principal Investigator, PEV Consumer Impact,
46[Pag e
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Michael Nicholas (Principal Investigator), Oak Ridge National Lab
(ORNL)
06/01/2014 - $120,000, Principal Investigator, Davis Alternative Fuel Readiness
06/30/2016 Plan, California Energy Commission
11/01/2016 - Grant #201700381. $90,000, Principal Investigator, Exploring the
02/28/201? Potential of Plug-in Hybrid Electric Vehicles in Reducing Equivalent
Greenhouse Gas Emissions at the Vehicle and Household Levels,
TOYOTA MOTOR CORPORATION
05/01/2013 - $850,000, Co-Investigator, eVMT Projects, Thomas
01131/201? Turrentine (Principal Investigator), California Air Resources Board
Service
Administrative Activities
2016-2021
2018-2029
Committees
Admission Advisor, Graduate Groups in Transportation Technology
and Policy (TTP),
Director, Plug-In Hybrid & Electric Vehicle Research Center
(PH&EV) UC Davis
Department/Section
2008-2010
2016-2021
Campus
2016-2017
1999-2002
Reviewer of grant proposals and dissertation proposals for the
University of California, Transportation Center.
Graduate Adviser, Transportation Technology and Policy Graduate
Group - Graduate Adviser, admission adviser at the Transportation
Technology and Policy Graduate Group.
Federation Representative at the Graduate Council Educational
Policy - Senate Committee, Federation Representative.
Member in a consultancy group for a transportation agency
preparing transportation master plans for local authorities, and on
the reorganization of the public transportation system in Tel-Aviv.
Editorial and Advisory Boards
2020-2028 Member of the Standing Committee on Alternative Fuels and
Technologies, Transportation Research Board (TRB) The National
Academies of Sciences, Engineering, and Medicine.
2020-2023 Member, Technical advisory board, EV WATTS Project Advisory
Committee.
2019-2021 Committee Member in the advisory Committee of the Behavior Energy
-
-------
and Climate Conference .
2017-2021 Committee Member in the Global EDV Advisory Group,
CIimateWorks.org.
2016-2019 Committee Member in the Program Committee of the Behavior Energy
and Climate Conference 2016-2019.
2018-2019 Committee Member in the Technical Advisory Board, Autonomous
Vehicle Heaven or Hell? Creating a Transportation Revolution That
Benefits All, The Greenlining Institute.
Reviewer of Manuscripts
Transportation Research Policy and Practice (Part A)
Environment and Planning B
Journal of Transport Geography
Transport Policy
Transportation Research Records
Transportation Research Part C: Emerging Technologies
Transportation Research Part D: Transport and Environment
International Journal of Geographical Information Science
Transportation
Journal of the American Planning Association (JAPA)
Energy Policy
Sustainable Cities and Society
Nature Energy
Teaching
Courses
2015
2009
Spring Quarter, Course Number=TTP 289B 007, A Geographic
Perspective on Travel Behavior and Travel Modeling Subject Area;
Transportation Tech & Policy, Units=2, Undergraduate Count=0,
Graduate Count=8, Percentage Effort=20
Fall Quarter, Course Number-ECI 165, Transportation Policy,
Units=3, Undergraduate Count=0, Graduate Count=0
Lectu re/Seml n a r/La b/Other
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2009 Summer Special Session
Other: Sustainable city planning summer studio for post-baccalaureate
students, College of Environmental Design (CED) at UC Berkeley,
Student Advising
2019 - 2021 Number of undergraduate advisees: (2), Number of graduate
advisees: (4), Number of graduate co-advisees: (4)
2015-2016 Number of undergraduate advisees: (3), Number of graduate
advisees: (3), Co-advises (3)
Thesis Committees
2015-2016
Julie R Schiffman
2015-2017
Wei Ji
2015-201?
Kathleen Harris
2015-2018
Wei Ji
2016-2017
Laura Cackette
2010-2017
Dominique Meroux
2016-2018
Rosaria Berliner
2016-2018
Kathleen Yip
2017-2019
Malik, Jai, PhD Student
2017-2020
Xiuli Zhang
2017-2020
Jinpeng Gao
2017-2020
Srinivasa Raghavan, Seshadri
2017-2020
Campbell, Alexander
2017-2021
Benoliel, Peter
2018-2020
Xu, Bingzheng
2018-2020
Sutton, Katrina
2018-2020
Sugihara, Claire
2019-2021
Hoogland, Kelly
10
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Michael \1 sin ess
Curriculum Vitae
42(12 I-. Fow ler Avenue, ENG 030
I niversity of South Florida
Tampa. FI, 53620
(813) 974-6144
manessmV/ usf.edu
miehaelmaness.com
• hxclve yeais of experience conducting research in light-duty \ehicle preferences, including at the
university and DOF. national laboratory level
» Ph.D. in Transportation Engineering with specialization, in travel demand forecasting, travel behavior
analysis, ami discrete choice methods
• Auihoied three peer-ieviewed jtmrnal articles («ilh two undei review) on consumer preferences for
light-duty plug-in electric vehicles with irv er M) citations total
• Led and co-led projects worth over SI .5 million dollars « ith project topics in transportation
electrification and automation
• Researches adoption helm ior in ti asportation including thtough means of social influence/learning
and diffusion ofmnouition
Professional Experience
2019-Prcscnt
2018-lVcsenl
2(117-201X
2017-2018
2015-20 Hi
2015
2014-2015
2013-2014
2011-2013
Education
2015
2010
200<»
2009
. UsMMt Professor. Department of Civil and Environmental Fngineering. University of
South Florida ( Tampa. FI,)
Ij/ihatcd Center for I >rban Transportation Research. 1 ni\ orsiij of South Florida
(lamps, FL)
VrkstJuctnrd! Research Fe!hm\ Department of l 'ivil and Fnvmmmartal F'ngineermt.".
I "niversity of South Florida (Tampa. FI.)
Adiunct Instructs)!, Department of Civil and Hm ironmental Engineering. I "nh ersity of
South Florida (Tampa, FI.)
Poshhchwat Research Associate. Center for Transportation .Ynalysis. (>ak Ridge National
1 .aboratnry (Knoxville. 1N)
f 'lining Researcher. Centre ior Choice Modelling and Institute for Transport Studies.
University of Leeds (Leeds. UK)
GntJiuiU Research. Ishtstuot, Department of Chi! and Fnvironmental Fngmeeritn.',
t inherit) of Maryland (College Park, Ml))
(Irudiule Research I-'clluw, C tffice of Operations Research & Development, Federal
Highway Administration. 1 umer-Fairbank Highway Reseaich c "enter (Mcl.ean, YA)
GraJuut^ Researt h. 1 ssi.sLint, Department of Civil and Fnvironmcntal F.nginecring.
University of Mankind (Colleue Park. MD)
University of Maryland, Colk'jji* 1'ark Ph.D. ("ivil Fngineering
Dissertation - Choice ModelingPerspectives on Sck-jjI Xriwnrkt, S/jckiIInfluence,
andSiKkdi \ipikil in Activity ii/iil Travel Fie/uvior
University of Maryland, College Park. M.S ('nil Fnginueiing
Thesis Mijitclmy I'ehh A t >wner\hij' I~>^ctstons m MurvUmJ: .•! 1 rehiwi\ir\' Stated
Prcjiieuce .Vimvc urnl Mr\k'l
University of Maryland, College Park, U.S. Civil Fngineering
University of Mary land, College Park. U.S. < 'omputer Science
Peer Reviewed Journal Articles
1. I .11, Palaio. 1. Vo. M M.ineiv R. Hcrtmi. and K:, Mcmm l forthcoming;). A MultM 'it\ Investigation of
the L fleet of Holidays on Dikes hare S\ stem Ridei ship I intisjiorLitiMi Rcsnir,. h ReoiJ: Junriuil of the
I fjliy .Ji'l.lIM) J
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cv
Michael Maness
2. M, Maness and 7.1 ,in (201')), Free Charging: l-'xploratory Study of Its Impact on Fleetrie Vehicle Sale*
and Energy. 1 rarriportaliun Research Record: Journal of tin. Transportation Research Board. 2673(9),
590-601
3. II, A/i/. 11. Park, A. Morton. R. Stewart. M. Milliard. and XL Maness (2018). \ High Resolution Auent-
based Model to Support Walk-Bicycle Infrastructure 1mestment Decisions: A Case Studs* with New
York t 'in. fnuisji-irlalum Rcsninh l\m < V liinei I ethnologies. X(>, 2XO-2W,
4. M. Man ess (2017). ("omparison of Position lictierators and Xame Generators as Social < "apital Indicators
in Predicting Activity Selection. Transportation Research Part I: Pohc\ andPractice, 10ft. 374-395.
5. M. Manes* (2017). A Theory of Strong Tits. "Weak Ties, and Aelh it\ Behavior; Leisure Aelh its Variety
and Frequency I ran.sp'rtartev: Research Record: Journal of the ! rausjvirtatirm Research Hoard. 2665.
30-39,
(>. C, Cirillo. \ I.in. and M, Maness (20171. A Time-dependent Stated Preference Approach to Measuring
Vehicle Type Preferences and Market Plasticity of Conventional and Green V ehicles. I ramportMum
Research Part, I. Policy and Practice. 1111). 294-310.
7 C ('alastii. S. Hess, A l)al\. M. Maness, M Kowakl. and K. Avlnmsen (2017). Modelling f 'ontaet
Mode and Frequency of Interactions with Social Network Members I "sing the Multiple Discrotc-
ctmtinuous Extreme Value Model /ratispnthtlioit Research l\ut (Iwiet^tny Tci. hno!t>gte\, 76. 16-34.
8. M. Maness and <'. Cirillo (2016). An Indirect Informational Conformity Social Influence Choice Model'
Formulation and Case Study. Tmrnpr/nation Research Part D: Methodological l">3. 75-101.
l>. M. Maness. C, ("irillo, and F Duuundji (2015). Generalized Beha\ ioral Framcw ork lor C lioicu Models
of Soctal Influence: IWha\ ioral ami Data ("oneorns in 1 ravel Behavior. toiirnal<>t Irantpori (tc,graphs.
46. 137-150.
10. X .liana. J. Bared. M. Mancsh. and D, Hale (2015), Ira llic Performance Analy sis of Dynamic Merge
Control I "sing Micro-simulation. Transportation Research Record: Journal o1 the Transportation
Research Board. 24S4. 23-30.
I I. C. t "irillo. M, Maness, and N Setulle (2014). Measuring Value of fiavel (line in the Presence of
Managed I a net- Results from a Pilot Stated Preference Survey on the <'apital Beltway Trans futnation
Letters. W I). 23-35.
12, M. Maness and C, Cirillo (2012). Measuring Future Vehicle Preferences: Stated Preference Survey
Approach with Dynamic Attributes ami Multhear Time Frame. Transp.iriatt'm II. scaich M.. ord;
Journal qt the 1'tati.spoi tatioit Rc.s^aiuh Hoard, 22X5. 1110-10'X
Book Chapters
1 M. \ Ian ess (2020). Choice Modeling Perspectives on tlie Use of Interpersonal Social Networks and
Social Interactions in Activity and Travel Behavior. Mappmg the 7"rave! Tieliavit>r (}enohie: The T{oIe of
Ihsnijitn 7&Jm1 1'ier 1
I"nherMty Transportation (.'enter). Co-PI (PI: Shams "lam ir) |S»,y44|
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cv
Michael Maness
2020-2021 hi/hteneim; It\n\i Hehavuir rut an I )pea-Stmtee PLtthtrm icur /. Funded by National
Institute lor <'(ingestion Reduction. Co-Pi (PI: Scan Barbeau) |SI51.3641
2019-2020 Jn hiferentul 'Study «/ the Potential t 'tmnitmur I 'a/tie r/Free ('hurgtng. < >ak Ridgy National
I ahoratory (Department of linerm), PI | $48.0821
2017-2021 Imvstigjinn at the role «/ triors on ^io/tittm >>/ urn vetitele
-11 (PI' Fled Mannering)
[SU20.00(V|
Othei Grants and Fellowships
2020 Nt shmic malum oj'k'dtteatir/ii through /n ide for Rcsewvh Feihmshtp.',. Federal Highw ay Administration [ $(>0,000 [
2012 Snh-HKMtnutl ("ftnfcrcihv Student Support. hcjr,i. t 'niveriity of Man kind |S500|
2010-2012 Ftsenlxjsrei 1 niiisport^tioii Fellmr\htf>. Federal 1 liglmay Adminis tuition [ $43.5001
2000-2010 linjiy ta the Dnetmate Felltm ,\ittp, National Science Foundation ami I mveisity of
Maryland [S40.(MK)|
Honors and Awards
2017-P)csent MemKr ojl'mwter Behuvt, w mJ I "alues < "<»h»h?kv. Transportation Research Board
Sen mg a Ihtce-year appointment where responsible lor rev lew nig papers, paitieipating in
committee meetings, and chairing sessions at conferences
2017 201? line I'as Dis^ettutum Prize. International Association ibr 1'iavel IJehaviour Research
I'rize reeogni/es the best doctoral dissertation in travel beha\ ior research that was
defended and accepted for a Phi). degree in 2015
2015 (.Htt.si^hdm^ Student <>! the Ye.tt, I niveisity Transportation Centos Progtam
I "S Depaitment of Transportation award to honor students based on research, academic,
and leadeuliip merit I representing Center for Advanced Transportation Technology!
2013 !te.\t ()miPrcM'titution m L'rhiin Studies. l"ni\ernit\ of .\Lin land
Uni\ ersity-wide research conference (Graduate Research Interaction lX*n) for graduate
students
2004-2008 iil( 'hmaie f "/wr',v i 'onferauv, Sacramento,
CA. fTalkl
2019 f. l.uong1, and M. Maness. Using Social Capital Data to Account for Heterogeneity in ActiviH
Bcha\ ior Within and Between t raiders. lVescntation at the 6" htte'T.ntpmal ("onK renee utt
Women \ (s,\ue^ m framporttttitiih In inc. C \. |Poster|
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cv
2019
2019
2019
ins
2018
2018
2018
2018
2018
2018
2017
2017
2016
2016
2016
Michael Maness
D. Tahhdflu M Mamas' and A, Klathnpoulos. Incorporating Social Capital as a latent
Variable m Discrete t Iwice Models. IVusentation at tim International Choice Modelling
I'onjlreiKC 20! < Kobe. Japan, | Talk]
M Maness*. I cveraging Social Capital Questions fur lia\el and \etnih Surveys.
Presentation at the t 'otiferenee on Current f rends in dim-evStatt-tie.s 2f>l(^ Singapore,
Singapore, | l'alk|
M. XIaness and Z. I .in4*. The Value of Free Fleetiie Vehicle Charging Infrastructure: An
Exploratory Analysis. Presentation at the 2019 Inmul Meeting tfthe Transportation
Re^eareh Hoard. "Washington. IX'. |Talk|
XL XIaness*. L'vploting the Hffeets of Social Kesuuiees on Leisure Activity and Autonomous
Vehicle Intention. IVcsentalkm at the 2t)l,s' IXFi )RM$. htmtal Meeting, [Talk)
XI. XIaness'1', ! >c. eloping a Sur\ ey for Modeling Autonomous X'ehiek Adoption Through
Weak Tic Social Capital and Diffusion ol'lnnovalion Constructs, Presentation at the 2018
Behavior, liiKixv. and('lunate ('linage ('onfetvnee, Washington. DC. [Talk]
XI. Maness'". New Models of Random Taste Variation and t "onstiaint t "hanue Induced In
Social Influence Presentation at the IS' International! 'onterenee r>// 'Turd ilehaviiwr
Kes^tireli, Santa Haibara. C V (Talk]
P. X'. Slieela. S. K. Balusu'1'. M Ma nest,, and A Pinjari. When Neultal Responses on a I.ikeit
Scale Do Not Mean (ipinion Neutrality': Accounting for I mure Responses in a Hybrid
t *hoiee Modeling Framework, Presentation at the IS lata national ('outer e/h.e on hasxi
Behaviour lUsctilvh. Santa Barbara. I "A, |1 alkl
D. Tahlyan, P. V. ShuJa"'. M. Manet and \. Pinjafi, Impnn ing the spatial transferability of
travel demand forecasting models' \n ctnptneal assessment of the impact of incorporating
altitudes on model transferability. Presentation at the IS" International ('onfet ence on
/raw! Hehariour Re,\eareh, Santa Barbara. CA. [T alk|
P. V. Sheela. S. K. Balusu. XL Matiess". and A, Pinjari. When Xeultal Responses on a 1 ikert
Scale Do Not Mean ()pinion Neutrality: Accounting for I "nsure Responses in a Hybrid
Choice Modeling Framework. rt'esentatkm at the Intetnational Ci/nlctenee on
ImumMons m it are! M/kleling. Atlanta. GA. ]Talk|
D Tahlyan. PA' Sheela. M, Mancss"9. and A, Pinjari. Improving the -spatial tiansferability of
travel demand forecasting models; An empirical assessment of the impact of itieoiporating
attitudes on model transferability. l*resenlalion at the International ('tm/er\ nee >m
Iniifjwttioiis in Trawi Modeling, Atlanta. GA. | Talk]
M. Malleus*. A Theory of Strong Tics. Weak Ties, and Vctivitv Behavior. Leisure Activity
Variety and Frequency Proceedings from the 201 ~ Annua!Mcertnt; of i!k Transj»irtation
He.seareh i'tKird, Washington. DC. (Talk)
C, Calaslri':". S, Hess, A. Dal). M, Mancss. M. Row aid, and K. .Vxhauscn. Modelling! Contact
Mode and Frequency of Interactions with Social Network Xleinbeis> 1'sing the Multiple
Di.screte-etfntinuous Lxtreme Value \ lodel, Piesentation at the 201 ft inmul \ /ft. ting of the
Ttxm^'or'ati'm Keseanit Board. Washington. DC. (Poster]
XL Maness* and tLiu. Social Adoption (if Plug-in lieetiic Vehicle*' A Rex icw of Modeling
and Policy Implications. Presentation at the 21/1 !> Cellar lor, faterg). u-id i 'litituu < "htinge
Coii/Lii'the. Baltmioie. Ml). | falk|
XL XIan ess":'. Social Influence ('hoiee Modelling of Tra\ el Behaviot. I lie Policy Implications
of Differentiating Social Fffcets and Possible Pathways to Accomplish I >itl'erent latum.
I'resentation at the $' Synt/rjMim of the l:itrttj>i.a>!, ixsociuttrm lot Repeati'h in
Iran^fxiiiittioii. Delft, Netherlands, (Talk)
0. Cafostn*'\ S. Hess. A Daly, XL Matiess. M. Mow aid. and K., Vxliausen. Xtmlellinu < 'ontaet
Mode and Frctjuenev of Interactions with Social Network Members Using the Multiple
Discrete-continuous L.xtreme X'alue Model. I'resentation at the 5 Synij^i.siiun of ilk
f-'-ttropean. Iwx'iationjor Research m Transportation. Delft. Netherlands, [Talk]
4
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Michael Maness
2016 M, Maness*. Forecasting Demand loi lTectnc Hio\d«s and "Ihcii Sustain,ibilih Impacts Case
Stud) for a l*ni\ ersiu i "ampus. Presentation at the I rampo^lutjrjn kesi aref Boar,I
('nmmttk es ,m Res'/wee Ctns.-tvatnm .(• lieeovety and Get •-fjmi-jnmL-ni.it 1'uxe.if-e-i
jf/jfi'Smmnci U'/iikshop. -Ysbe\ille. NC, |l'alk|
2016 M. Maness'". Choice \Sodding IVrspeetivos oti Social Networks, Social Influence and Social
Capital in Acthity and 'I ravel Behavior. Presentation at the 201 .Ininutl A/i't/fm: tit the
>'• aii^purkttiim Research Board. Washington. DC". {Talk]
2015 M. Mancss*. Comparison of Position Gencratois and Xante Generators as Social C apital
indicators in Modeling AclK ity Selection, Presentation at Frontiers in Tnmxprnlation
2015: hi I >/\Lilc on Stvial \'ciwt»i\ and Travel. I .omltm. I "K. [ I'a lkj
2015 M. Manes*1'" and C, Cirillo. Incorporating IIeterogeneous Social Influence Motivations in
Choice Mode-Is; A Formulation and ('ase Study. Presentation at the 14'' International
Conference n Research Hoard, Washington. DC. [Poster]
2014 M. Man uxs"'. Xleasurement Krrut Bias from Social Network Data used in Disci ele Choice
Models. Presentation at the i' Syinjx/shirn o 1 the European. Issoeiatton jor Research in
Transportation, Leeds. ITC. [Talk]
2012 iCirillo and M Maness ^ A Duiamie Staled Preference Sur\e\ and Modeling Approach lor
Future \ chicle JYeferunee. lYesentation at the 20} 2 International \\ss,>ciatitm for 1 ravel
hehavtot- Research ('oiifnen-. e. Tmonto, ("anada, | Talk]
2012 M. Manes**1" and ICiiillo. Measuring and Modeling Future Vehicle Preferences: \
Preliminary Stated-Preference Survey in Maryland. Proceedings ftom the 20!2 Annual
1/crfMs," ofthe Train•poifatto'i Rest arch Hoard, Washington. DC. [Poster]
u I \1. Man ess1" Bievele Ownership m the United States: Kmpirieal Amihsn of Regional
Differences. Proceedings from the 2012. linmal Meet ins; of the Tiun^irhtiuni Research
Ihjaid. Washington. DC. (Poster]
2011 M Man ess'' and C, Ciiillo. Future Vehicle Preferences; Lessons from a SP Survey.
l>ie>etitation at the 2d 1 liehuvior, f-jiergr, and Climate Change ('rttilercthc, Washington.
DC. fPoster]
2011 Cirillo*l and M, Maness. 1 • stimutitiy Demand for New Technology Vehicles, IVoeeedings
ftoin the European Transfvjrt I 'onfei'eiiee 201 /, Glasgow. Scotland, [Talk]
2010 M. Mancss*" and C. Cirillo. A Modeling Framework for Vehicle Ownership Decisions in
Maryland. Presentation at the First International Symposium on. \dvancc\ in Transport
SiisLimahlny. fcmpc. ,V/„ |Talk|
Invited Talk?
2020 M, Maness. Can mj aeti\ il\ choices be explained through what my friends oiler",1 Exploring a
Social Capital llwory of leisure activity, Cenlre far Choice Moa'clling (Snhne Awtnar
Set ics, 1 "ni\ersit) of Leeds. F.eeds. 1 *K,
2020 M Man ess \utoiionious X'elik'Ies- Potential Travel Buimioi implications / he, HS('s
lAtlilthle\ Hilhiviurs ("hoieesl of l-'tiltire Mobility. .Yri/ona State 1 'niversitv. Phoenix,
AZ,
2020 X. Mellon and M Mancss. People's 1 .ifestyk. I'relcrences. Attitudes, and Tr.nel Patterns, The
.1ft t,ittitnJe\ lV1D-1" on 'l'ele-Acti-wties. Tra\ el. and IHirchasing
Behaviors Wehinar Series. RensselaerPohlechnic Institute. "Iroy. NY,
5
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cv
Michael Maness
2018 XI. Maness. I 'sing I hbrid f lioice Models In Differentiate Opinion Neutrality and
Unfnmiliarity, /OMXLd'Leadership U'ebmar Series.
2018 M. Maness, Choice Modeling Perspccthe> on Social Networks. Social Influence, and Social
Capital in Activity and Travel Behavior. line Pus Dissertation Prize PlenarySession. 15"'
International Conference on Travel Behaviour Research, Santa Barbara, CA,
2018 \I. Xlanevi. Enhancing the Social Realism of Activity and Tra\ el Beha\ ior Models by
Incorporating Social Capital and Social Influence. Universitx at Buffalo, Buffalo, NY
2017 M. Xlaness. Incorporating Social Interactions in Activity and Travel Behavior Models: New
Directions in Social Capital and Social Influence. University of South Florida, Tampa, IT,.
2016 M. X lanes*. Behavioral Realism in Transportation: Dynamic Vehicle Xlaikets and Pri>\iding
Free Charging Infrastructure, National Renewable linerg) Laboratory. Golden, C< >.
2015 M Maness, Choice Modelling Perspectives on Social lnlluence in Tra\et liehaviour - A
Behavioural Review with Future Research Directions. Centre for 1 reimport Studies
Stinmar Senes. Imperial College London. London, I "K.
2015 M. Maness. Incorporating Social Networks into t 'hoice Models of Social Interaction
Behavioural and Data Perspectives. University of! eeds, Leeds, I "R.
2015 M Manes*, t 'hoice Modeling Perspectives on Social Networks, Social Influence, and Social
Capital in Activity and Travel Behavior. Oak Ridge National Laboratory, Knoxville. TN.
2014 M. Maness. Application of the Active Traffic and Demand Management Analysis
Framework to Virginia's 1-66 Active 'i'ralfic Management Project, l'FIIK(' Hr.nrn Httx
umehimtc Tu-hmcal I 'rcscntafirm I"rtqynm. Turner-Fairbank Highway Research Center
McLean., VA.
2013 M, Maness, Transportation Considerations. Explormgthe Adolescent Need far Sleep. Start.
School Later. Montgomery College, Rockville. MD.
Research Project,Exgerience
2019-Present Assistant Prtfes.sor, University of South Florida (Tampa. FI )
• Influencing Travel Behavior via an t Ipen Source Platform {smuttphaht app, activity and
trawl imputation)
• Tourism and Special L\ cuts Planning and t Jperations lot Smart Cities (tourism demand,
distributed i iimputing, leisure activity, a^enr-hised niodeliiK;)
• \ Social ('apital '1 Iteory of Activity licluvioi I leisnie aettvity, si\.ial »et» ork analysis,
social cui/ltal, ^ nder bias, latent Variable count data mrUels. dtsctvic-cumiim/jtis models)
• ,\n Inferential Stud) of the Potential Consumer Value of Free Charging ( iik enttw
compatibility, statedj'reference surrey design, electro t halting inUastructnre, equity
analysts)
2017-2018 / 'oshloetcral Research Felfrnv, University of South Floiida (Tampa. IT.)
• Im estimation of the Role of Attitudinal Factors on Adoption of etnerginy automated
vehicle and vehicle safety technologies {mtti-MimuiLs velueles, attitudes. Litem variable
discrete ehtnee imniels. survey ile.sipi. ma:hi/ itenrurk anah us. mode! transferability)
2015-2016 1'astdiM.ioralResearch.-hsoaaie, Oak Ridge National 1 aboraton (Know ille. IN.')
• A National Model of the Adoption of Peisona! Connected and Autonomous Vehicle and
Rideshaiing!autonomous vehicles, ride,sharing. i\. hide t/m^rsh.tp)
• A Free Public t "barging Policy: An K\ploiatory \nahsis (vehicle, >w net's hip, behavioral
t ecuiMiucs, travel behavior aiiahsis, fitilky analysis!
• Social and Neighborhood FHeels in the Adoption of New Vehicle Technology (agent-
hiseit nnnklhn& social network analysts)
• A High-Performance, Data-Driven Simulator of the American Population lot Modeling
Urban Dviwinics (a^ciil-hascd /noticing, travel tLiihind, iinii-mutiJiCid tt\m*pi»t\
• US Job Impacts of Batten Investment Strategies for Plug-in Flectrie Vehicles isnmthitmn,
with le ownership, j>ohcy analysts)
6
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cv
Michael Maness
2015 I 'hifiin; Researcher, Uniwrsily of! ,eeds (I ,eeds, UK)
• Role of Social Networks and Soetct.il Influences on Transport, \etivify. and Household
Knergy Behax ior (activity diary. social network analysts. smartphone app)
m Joint Modeling of Communication Mode and Frequency using Fgoccirtrtc Social Network
Data {mkiJ network analysts. 1CT. dtsctvie-eoitttmioits modchni;)
2014-2015 f iradiiuh Reseat i.h A*\Munt, Univusity of Mankind It 'ollege Park Ml>)
• Dynamic Choice Models for CChallenging Societies with an \pplication to Car! Hviicrsliip
Decisions (data analysts, long-term shoit term clasticih-)
• Dissertation ('hotce Modeling Peispednes on .Social Interactions (nonlinear
optimization. -'ik'uiI network analysis. Mayestan mterencc. smmlatton)
2013-2014 (iradthite Kc.scan h helloir, 1 urnei-Fairkink Highway Research Center (McLean. V \S
• Analysing Active Traffic Management System*: Application to 1-66 in Virginia (data
analrtics, data fusion, trajjtc operation* attahs-i.s, CAt-bcwIit analyst*)
• Development of Dynamic Merge Control Guidelines (traffic simulation)
• Dynamic Speed Harmonization through Vchicle-to-Infrastructurc i "ommunications Field
F.\perimuif (data collection, vtmmxtcd wlihiles technology)
• Calibrating Models of Car-Following Behavior in Work Zones (data analysts)
2011-2013 Gt\iditale Research As.sisttint, University oi" Maryland (College Park. MD)
• Dynamic Choice Models for ("hallenging Societies with an Application to Car Ownership
Decisions (dynamic adaptive staled preference surrey design)
• Departure Time Choice Model iti the Presence of Ttme-of-1 )a\ foil Pricing (stated
preference survey design, semi-parametric discrete choice model, managed lanes}
• Estimating Drivers" Willingness to Pay for HOT Lanes on 1-495 in Maryland (stated
;>n. terence sttrsvy design, valuc-of-timc study, managed lanes)
2009-2011 Graduate a'tiident t tndependenily funded). Univeisity of Maryland (College Park Ml))
• Integrating Vehicle Ownership Decisions into the Mary kind Statewide transportation
Model (statedpreference .survey design, vehicle ownership, alternativefuels, taxation)
Teaching Experience
2020 Instructor. Computational Methods ior Transportation Modeling (Graduate)
Proposed and developed a three-credit course on using junctional programming, parallel
computing, and olvject-ojiented programming I'm performing transportation modeling
2019 Instructor, Intro to Data Science for i 'rvil Fngineers (Graduate)
Proposed and developed a two credit course oil applying statistical programming- data
analysis, and machine learning for civil engineering pioblems using interactive learning
2018-2021 Instructor transportation Fngimjuring I (Undergraduate)
De\'eIoped a three credit course that introduces students to the principles of transportation
engineering including geometric design, pavements, traffic, and transportation planning:
dt\ eloped u transportation electrification module for use w ilh undergraduate students
2018, 2019 Instructor. Independent Study (Graduate)
Directed students" research in topics including: survey design, latent \ aria tile discrete
choice modeU. and social network analysis
2017, 2018 Instructor. Tra\el I)emand Modeling (Graduate)
Dei eloped a three credit course on the methodology and application of regression and
discrete choice methods in models of travel demand and forecasting
2017 i 'mest Lec'nrci, Survey Methods in fi ansportation (Cnaduate)
i aught two lectures on stated preference surveys and experimental design
20 H> Guest I.CLiwei. \dvaneed '1 ransportatum Demand Modeling Hiraduate)
faunht a lecture on social networks and travel demand model in t>
2014, 2013 Teaching,isststaiit, Transportation Fngineeiing & Planning (Indcrgraduate)
Graded assignments and exams: wrote exams: aided students at office hours
?
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cv
Michael Maness
2012 fiUbhmg.UsMtml, Highwa) Knginuorinj! (1 'ndereradujle)
Prepared and taught an X-kcture sequence about traffic control devices and intersection
design; conducted weekl) lab notions on traffic engineering software; designed exams
2012 (hic.st! i.v/r/HT Computational Mel hods for Transportation Demand Analysis (Graduate)
Designed and tauahl a 3-leeture sequence on discrete choice models of social influence
2011 (iiicAt i.vctiirt'i. Survey Methods in Transportation (Graduate)
Designed and taught a 4-leeture sequence about web-based sunev design; designed the
class' final project; critiqued project presentations and reports
2006 7i\a/w«x Ft lit nr. Introduction to lingineerina Design I Undergraduate)
Gtaded assignments, aided students during lab sessions
Othei Relevant Experience
2010-2012 I i\iJDl'\xIoi\t, JULIli (https:' github.com mmaness JUL1F.)
Started an open-souree software framework for designing stated preference web-based
sune\s and computer-assisted interviews; actholy developed new features and bug fixes;
wrote documentation and ]mo\ided a publieh available codebase
Mentoring Experience
. l.\»in, I,\M.\Li/ir/'r.llr) ir, I hurci \tlr of South l-'lm uL
2017-Present Sniyina*<»i)it Ktmhir liu/usit, Universitj of South Florida
Managed students' involvement in research p»ojects with direct delegation (if project tasks
2017-2018 l\irn;thv I'mod ShccLi. University of South Flot ida
Managed students' involvement in reseat eh projects with direct delegation of piojeet tasks
2017-2018 Fth/win. 1 "nh erstH of South Florida
Managed students' involvement in research projects with direct delegation, of project tasks
2019-Present
2013-Present
2019-Present
2010-2020
2019-2020
2019-202!)
2010-2020
$
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cv
Michael Maness
U<1J 'hitinx »ir» 4r.' > wr»m «/ / a
2016 CiiMni CoLf,trt, Unh ursity of Leeds
IVovided instruction on social netw ork analy sis and discrete-continuous modeling
methods; collaboration resulted in n published journal article
.is w iX-vium!Simkni, I Knvrw/vn!SktrvLmil
2012-2015 I'm Lin. t'mversitj of Maryland
Pnt\ ided otie-on-one tutoi ials on discrete choice methods and sofhs :n c; Aided in editing
lier thesis: Discussed research direction regularly
21114-2015 // an [trjng, University of Maryland
Discussed research direction regulatly
2(111 i 'umillc Rik-Ik-i, JiNSl de Bourges
l>i'0\ ided instruction on discrete choice methods and qualitath e data collection; assisted in
developing her T'nglish writing skills
,-l.t a \Lt*teiSfttJent, ''nnxr.siPi- r)f\htryLnh!
2(W> Ai Hand Maiizahij. i-lrtviiu .hiirjtii, and < 'luihv. tit mum, I ;XSI do Bourses
IVovided instruction on travel survey methods; assisted in developing their Hnglish writing
skills
Professional Service
Peer Kevicw
Transporlation Research Record
I ranspoitatiim Research Board Animal Meeting
International Conference on Tra\ el Behaviour Research
Journal of Transportation Engineering
Journal of Transport Geography
Research in Transportation Hcotiomics
International Journal of Sustainable Transportation
Journal oft 'hoice Modelling
7"' International Conference on Innovations in Travel Modeling
Sustainabilitv
atmosphere
Transportation Research Part V- Policy and lVacltce
Journal of Planning I .iterature
I 'ohmtct. r lYorkfni Organizations
Committee Comimimcuiums Coo? Jtrndiw. Traveler Behavior and Values Committee. Transportation
Research Boaid (2021-piesent)
MemKr. Tia\elcr Bchau'oi and Values ('ommrttee. Ttatispoilation Research Board (2017-present)
M^inKr, Subcommittee on Beha\ ioral IVocesscs; (Jualitalh e and Quantitative Methods,
Transportation Research Board (20]4-pre*e-nt)CcJ/i/t7t'fiu: $cs\ion Ckm
International l "hoice Modeling Conference 2019
2(11'' Tiasportation Reseiieli Hoard .\nnual Meeting
I \TRR 20IS' 15"' International ('onference oil Jinvel liehuuor Research
5th Symposium of the I'.tiropean Association for Research in Transportation
2015 International ('onferenee on Travel Behaviour Research
University Service
t ruwrsHv nl"South Ftorhhi
2t>l<>-Present McmKr. Ad\ isory 1 kwrd. Master of Urban and Regional Planning IVognim
201l)-I5resent Member, Curriculum Committee. Department of i "ivil and I'm iroranental Fnghieeritig
2017-IVesent MonK>\ ..Vroa t'ommitteo: Transportation. Department of Ci\il and Kn\ ironmental
Engineering
9
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CV Michael Maness
I mvctMlvi'! Mdtrlaihl
2013-2014 Akmher. I niversity Senate l-Jcclions. Representation, { "Ihtir, Graduate Student Government (GSG)
10
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Appendix B: Conflict of Interest (COI) Forms
60 I P a g e
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\l/
'ICF
ORGANIZATIONAL CONFLICT OF INTEREST CERTIFICATE
Customer: U.S. Environmental Protection Agency
Contractor: ICF Incorporated, LLC, 9300 Lee Highway, Fairfax, VA 22031
Prime Contract: Task Order 68HERC22F0112
Subject Report: Peer review of the report "Literature Review of U.S. Consumer
Acceptance of Light Duty Plug-in Electric"
Subcontractor/Peer Reviewer: Sanya Carley, Indiana University
In accordance with EPAAR 1552.209-70 through 1552,209-73, Subcontractor/Consultant certifies to the
best of its knowledge and belief, that:
X No actual or potential conflict of interest exists.
An actual or potential conflict of interest exists. See attached full disclosure.
Subcontractor/Consultant certifies that its personnel, who perform work on this contract, have been
informed of their obligations to report personal and organizational conflict of interest to Contractor and
Subcontractor/Consultant recognizes its continuing obligation to identify and report any actual or
potential organizational conflicts of interest arising during performance under referenced contract.
Subcontractor/Consultant
6/2/22
Date
03OOLno Highway, Fflfrfe>,VA 23051 USA .1703.93>)5CiQ0 »1703.934.57 40 lax lcj.com
61 I P a g e
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ICF
ORGANIZATIONAL CONFLICT OF INTEREST CERTIFICATE
Customer: U.S. Environmental Protection Agency
Contractor: ICF Incorporated, LLC, 9300 Lee Highway, Fairfax, VA 22031
Prime Contract: Task Order 68HERC22F0112
Subject Report: Peer review of the report "Literature Review of U.S. Consumer
Acceptance of Light Duty Plug-in Electric"
Subcontractor/Peer Reviewer: Gil Tal, University of California, Davis
In accordance with EPAAR 1552.209-70 through 1552.209-73, Subcontractor/Consultant certifies to the
best of its knowledge and belief, that:
X No actual or potential conflict of interest exists.
An actual or potential conflict of interest exists. See attached full disclosure.
Subcontractor/Consultant certifies that its personnel, who perform work on this contract, have been
informed of their obligations to report personal and organizational conflict of interest to Contractor and
Subcontractor/Consultant recognizes its continuing obligation to identify and report any actual or
potential organizational conflicts of interest arising during performance under referenced contract.
Subcontractor/Consultant
6/28/22
Date
9300 We HlFWHiy.Palrtflx, VA2203I USA *5,703.534300041.79M84JM0 la* Klcom
62 IP a g e
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ICF
ORGANIZATIONAL CONFLICT OF INTEREST CERTIFICATE
Customer: U.S. Environmental Protection Agency
Contractor: ICF Incorporated, LLC, 9300 Lee Highway, Fairfax, VA 22031
Prime Contract: Task Order 68HERC22F0112
Subject Report: Peer review of the report "Literature Review of U.S. Consumer
Acceptance of Light Duty Plug-in Electric"
Subcontractor/Peer Reviewer: Michael Maness, University of South Florida
In accordance with EPAAR 1552.209-70 through 1552.209-73, Subcontractor/Consultant certifies to the
best of its knowledge and belief, that:
X
No actual or potential conflict of interest exists.
An actual or potential conflict of interest exists. See attached full disclosure.
Subcontractor/Consultant certifies that its personnel, who perform work on this contract, have been
informed of their obligations to report personal and organizational conflict of interest to Contractor and
Subcontractor/Consultant recognizes its continuing obligation to identify and report any actual or
potential organizational conflicts of interest arising during performance under referenced contract.
md/lkth
Subcontractor/Consultant V
bf 03/
9300 LH l-llpw«y. Fairfax, VA 23031 USA -M.703.93* 3000 +1. 703.934.37 «> I® **.eom
63 IP a g e
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Appendix C: Notes from peer-review meetings with EPA, ICF,
and the contracted peer reviewers
To: Elizabeth Miller, TO COR, U.S. EPA
From: Sam Pournazeri, Project Manager, ICF
Date: June 13, 2022
Re: Peer Reviewers' Kick-off meeting for Task Order 68HERC22F0112
tion
• Date: Thursday, June 2, 2022
• Location: Virtual using Microsoft Teams
;ipants:
• Elizabeth Miller, EPA, TO COR
• Jeff Cherry, EPA, Alternative TO COR
• Dana Jackman, EPA, Lead author of the report titled "Literature Review of U.S. Consumer
Acceptance of Light Duty Plug-in Electric"
• Sam Pournazeri, ICF, Project manager for the peer review
• Emma Cost, ICF, Support staff for the peer review
• Michael Maness, University of South Florida
• Gil Tal, University of California, Davis
• Sanya Carley, Indiana University
Meeting Minutes:
• Emma Cost from ICF initiated the meeting with a slide presentation
• ICF, EPA staff, and peer reviewer panel introduced themselves.
• Dana Jackman from EPA provided an overview of the document and gave some guidance to
peer reviewers on the overall structure of the document, and how it has come together.
• Dana mentioned that this is rather a compilation of all available literature out in the field from
2016 till the end of 2021. Rather than criticizing the literature, the review tends to
acknowledge and cover the range of studies and viewpoints on this topic.
• Emma continued the presentation with providing an overview of charge questions, materials
to review as well as the schedule. Upon covering all slides, she opened the meeting for Q&A.
• Peer reviewers asked couple of questions regarding the areas where they should focus on as
well the timeline.
• Michael Maness asked if it is possible for him to deliver the final report by Friday June 17, and
Gil Tal asked if he could deliver his report by June 19th. EPA agreed to that timeline.
• Gil Tal mentioned that an area where most of the literature is still missing is the supply side.
He asked whether he could mention that in his review, and EPA agreed that it would be a
good addition.
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ICF Slide Presentation
Peer Review of "Literature Review of U.S. Consumer
Acceptance of Light Duty Plug-in Electric Vehicles"
Teleconference
^Introductions
^EPA: Background of the Literature Review
HCF: Peer Review Overview
-Charge Questions
Materials to Review and Submit
- Schedule
v-Questions/Comments
— Agenda
65 I P a g e
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Introductions
3
66 I P a g e
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> Background of the
Literature Review
r.
*¦ The Draft Literature Review summarizes the current scientific
literature regarding:
The state of consumer acceptance of LD PEVs
How consumers become aware of PEVs and progress to PEV
adoption
The obstacles and enablers that hinder and facilitate LD PEV
acceptance
Technical Background and Information
67 IP a g e
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Peer Review Overview
•tc
7
Ddk the report provide a currenl, comp-ehensrve clewr, and accurate sdmrnary of the scientific literature regarding
consLmer acceptance of LD PEVs among private consumers of! D vehicles?
Does the report: miss any relevant literature0
Is tfre organizing framework aopropnate to satisfy ihe rrmkm* t»»» r*vp» >riu> wv»cc«pranc«a^uc* nn»n$ tBntvdk
-------
Materials to Review:
• Literature Review of U.S. Consumer Acceptance of Light Duty
Plug-in Electric Vehicles
Materials to Submit
• A cover letter that states your name and address of your
organization
• A completed Conflict of Interest (COI) form
• Your report addressing the charge questions in tabular format
Materials to Review and Submit
9
May 24, 2022:
Charge letter and
draft distributed to
peer reviewers
June 2, 2022.
Conference call with
EPA, ICF, and
reviewers
o
June 16, 2022:
Comment/review
due via email to
Sam Poumazeri
SamPoumaee nP»cf.co.T*
Schedule
10
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> Thank youi
Questions & Next Steps
11
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Appendix D: Peer Reviewer Selection Memo
To: Elizabeth Miller, TO COR, U.S. EPA
From: Sam Pournazeri, Project Manager, ICF
Date: February 25, 2022
Re: Task Order 68HERC22F0112 - Peer Reviewer Selection
Under Task Order 68HERC22F0112, ICF is coordinating an independent peer review of the report
"Literature Review of U.S. Consumer Acceptance of Light Duty Plug-in Electric" on behalf of the U.S.
Environmental Protection Agency Office of Transportation and Air Quality (EPA OTAQ).
To assemble the panel of three independent peer reviewers, ICF reviewed a pool of subject matter
experts both suggested by EPA OTAQ and identified by ICF through independent research. ICF first
assessed the experts' availability to perform the peer review within the timeline agreed upon with
the EPA Contracting Officer Representatives (COR). After that, ICF reviewed academic publications
and other relevant work to select peer reviewers that represented the best qualified candidates to
cover the two focus fields of this analysis:
1. Consumer preference of alternative fuel technologies
2. Behavioral and preference modeling
3. Conducting surveys to assess consumer acceptance of advanced technologies
While all candidates were highly qualified to act as peer reviewers, ICF sought to select candidates
that can bring diverse and complementary perspective to the peer review process. ICF also
evaluated actual or apparent conflicts of interest that would preclude an independent review, in
accordance with the EPA Peer Review Handbook Sections 3.4.5 and 3.4.6. To the best of ICF's
knowledge, no conflicts of interest were found for the proposed peer reviewers in our preliminary
research but will finalize the COI evaluation as part of the contracting process. This peer review
selection memorandum presents ICF's initial selection of three proposed reviewers.
Upon the selection of the peer reviewers, ICF shared the qualifications and resume for each
proposed peer reviewers with EPA, and discuss the strengths that each peer reviewer will bring into
this project. Upon discussion with TO COR, ICF finalized the list of peer reviewers.
iewer Selection Process
ICF first compiled a set of suggested peer reviewers for the report. This list was based on both EPA's
initial recommendations and ICF's suggestions for additional potential reviewers. Six candidates
(three selected by EPA and three identified by ICF) were considered. ICF also prioritized peer
reviewers based on the relevance of their background and experience with the topic of the report.
Through an initial contact with the selected peer reviewers, ICF assessed each potential reviewer's
ability to perform the work during the period of performance and to identify any association they
have with the work that would preclude them from being objective. ICF contacted and
communicated with all candidates by e-mail.
-------
In our outreach we identified ourselves as independent contract employees and provided initial
information on the relevant report, including the length of the material and the expected time
commitment. We asked the potential reviewers to assess their availability for this study and for their
hourly rate. We also collected a curriculum vitae for each peer reviewer that expressed availability
and interest in participating.
List of Peer Reviewers
Sanya Carley
Professor, School of Public and
Environmental Affairs
Indiana University
Research Interest
Energy Policy, Energy Equity and Justice, Electricity
Markets, Transportation Industry, Energy-based
Economic Development, Policy Instruments, Electric
Vehicles, Distributed Generation
Future need for electric vehicle
infrastructure, and the correlation
between charging infrastructure, travel
behavior and the demand for EV's
Michael Maness
Assistant Professor
Civil and Environmental Engineering
University of South Florida
Research interest
Methodology and application of behavioral
modeling in urban and regional systems.
Advanced choice models with applications to
car ownership, managed lanes, cycling
behavior, activity behavior, and communication
behavior.
Gil Tal
Director,
PH&EV Research Center
University of California, Davis
Research Interest
Kate Whitefoot
Associate Professor
Engineering & Public Policy
Carnegie Mellon University
Research Interest
Sustainable transportation and manufacturing
systems, the influence of innovation and
technology policies on engineering design and
production,, product iifecycle systems
optimization, and automation with human-
machine teaming.
Ken Kurani
Associate Researcher,
Institute of Transportation Studies
University of California, Davis
Research Interest
Household response to alternative fuel and
electric-drive vehicles; Energy, climate, and
environment in household travel choices;
Behavioral theory in transportation and energy
JR DeShazo
Dean of the LBJ School
of Public Affairs
University of Texas at Austin
Research Interest
Economics, public finance, climate change
policy, and organizational governance.
Designing policy incentives for cleaner
technologies. Understanding demand in the
plug-in electric vehicles. Factors affecting
plug-in electric vehicle sales
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Final List of Peer Reviewers
Upon completion of the initial contact, the top three peer reviewers selected for this project
accepted to participate in this peer review process. Their resumes were collected and shared with
U.S. EPA TO COR. Upon approval from U.S. EPA TO COR, ICF initiated the subcontracting process with
the selected peer reviewers. Below is the final list of the peer reviewers that will serve on this task
order.
Gil Tal
Director,
PH&EV Research Center
University of California, Davis
Michael Maness
Assistant Professor
Civil and Environmental Engineering
University of South Florida
Sanya Carley
Professor, School of Public and
Environmental Affairs
Indiana University
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