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The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.

A review of consumer preferences of and interactions with electric vehicle charging infrastructure

Open access
Hardman, Scott, Jenn, Alan, Tal, Gil, Axsen, Jonn, Beard, George, Daina, Nicolo, Figenbaum, Erik, Jakobsson, Niklas, Jochem, Patrick, Kinnear, Neale, Plötz, Patrick, Pontes, Jose, Refa, Nazir, Sprei, Frances, Turrentine, Tom, Witkamp, Bert·2018·Transportation Research Part D: Transport and Environment

Abstract

Abstract This paper presents a literature review of studies that investigate infrastructure needs to support the market introduction of plug-in electric vehicles (PEVs). It focuses on literature relating to consumer preferences for charging infrastructure, and how consumers interact with and use this infrastructure. This includes studies that use questionnaire surveys, interviews, modelling, GPS data from vehicles, and data from electric vehicle charging equipment. These studies indicate that the most important location for PEV charging is at home, followed by work, and then public locations. Studies have found that more effort is needed to ensure consumers have easy access to PEV charging and that charging at home, work, or public locations should not be free of cost. Research indicates that PEV charging will not impact electricity grids on the short term, however charging may need to be managed when the vehicles are deployed in greater numbers. In some areas of study the literature is not sufficiently mature to draw any conclusions from. More research is especially needed to determine how much infrastructure is needed to support the roll out of PEVs. This paper ends with policy implications and suggests avenues of future research.

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Cites

Show all 79 references

Research works printed but not linked: 13

  1. Adepetu, 2016, An agent-based electric vehicle ecosystem model: San Francisco case study, Transp. Policy, 46, 109, 10.1016/j.tranpol.2015.11.012 · doi:10.1016/j.tranpol.2015.11.012
  2. Axsen, 2012, Who can recharge a plug-in electric vehicle at home?, Transp. Res. Part D Transp. Environ., 17, 349, 10.1016/j.trd.2012.03.001 · doi:10.1016/j.trd.2012.03.001
  3. California Air Resources Board, 2017. California ’ s Advanced Clean Cars Midterm Review Appendix G: Plug-in Electric Vehicle In-Use and Charging Data Analysis 29.
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  5. Funke, S.A., Plötz, P., 2017. A techno-economic analysis of fast charging needs in Germany for different ranges of battery electric vehicles. In: Eur. Batter. Hybrid Fuel Cell Electr. Veh. Congr., pp. 1–7.
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  8. Nicholas, 2013, California statewide charging assessment model for plug-in electric vehicles: learning from statewide travel surveys, Inst. Transp. Stud., 1
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  13. Vergis, 2010, Technology innovation and policy: a case study of the California ZEV Mandate, Stock. Enviorn. Inst., 1

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Metadata

Authors
Hardman, S., Jenn, A., Tal, G., Axsen, J., Beard, G., Daina, N., Figenbaum, E., Jakobsson, N., Jochem, P., Kinnear, N., Plötz, P., Pontes, J., Refa, N., Sprei, F., Turrentine, T., & Witkamp, B.
Venue
Transportation Research Part D: Transport and Environment
Publisher
Elsevier BV
Published
2018-07
Volume
62
Pages
508-523
ISSN
1361-9209 (ISSN-L)
OpenAlex
W2797656660
Cited by
835
References
79
FWCI
17.50
Type
journal article
Language
en
Open access
green
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Funders
ClimateWorks Foundation

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CoChat. (2026). Citation check: A review of consumer preferences of and interactions with electric vehicle charging infrastructure. https://app.cochat.ai/papers/10.1016/j.trd.2018.04.002
The paper
Hardman, S., Jenn, A., Tal, G., Axsen, J., Beard, G., Daina, N., Figenbaum, E., Jakobsson, N., Jochem, P., Kinnear, N., Plötz, P., Pontes, J., Refa, N., Sprei, F., Turrentine, T., & Witkamp, B. (2018). A review of consumer preferences of and interactions with electric vehicle charging infrastructure. Transportation Research Part D: Transport and Environment. https://doi.org/10.1016/j.trd.2018.04.002

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.