Barriers to widespread adoption of electric vehicles: an analysis of consumer attitudes and perceptions
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EVs are seen as an important tool in the sociotechnical transition towards the decarbonization of transportation, along with capturing other co-benefits associated with local health emissions, reduced oil dependency and noise pollution.
“Electric vehicles (EVs) are seen as an important tool in the sociotechnical transition towards the decarbonization of transportation, along with capturing other co-benefits associated with local health emissions, reduced oil dependency and noise pollution”
From Understanding the socio-technical nexus of Nordic electric vehicle (EV) barriers: A qualitative discussion of range, price, charging and knowledge (2020) · cites this paper as Egbue and Long, 2012
Much of the current literature looks to explain the barriers that individual consumers encounter when purchasing EVs, either using qualitative methods or choice experiments.
“As such, much of the current literature looks to explain the barriers that individual consumers encounter when purchasing EVs, either using qualitative methods (Egbue and Long, 2012;Schuitema et al., 2013;Franke and Krems, 2013), or also commonly, choice experiments to analyze willingness-to-pay for electric vehicles (Jensen et al., 2013;Noel et al., 2019;Hidrue et al., 2011).”
From Understanding the socio-technical nexus of Nordic electric vehicle (EV) barriers: A qualitative discussion of range, price, charging and knowledge (2020) · cites this paper as Egbue and Long, 2012
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
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Chen, C.-F., Zarazua de Rubens, G., Noel, L., Kester, J., & Sovacool, B. K. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109692 · Cited by 314 · see citing works
Socio-Environmental Impacts of Lithium Mineral Extraction: Towards a Research Agenda
Agusdinata, D. B., Liu, W., Eakin, H., & Romero, H. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aae9b1 · Cited by 284 · see citing works
Adoption barriers for electric vehicles: Experiences from early adopters in Sweden
Vassileva, I., & Campillo, J. (2017) · Energy · doi:10.1016/j.energy.2016.11.119 · Cited by 274 · see citing works
Kumar, M., Panda, K. P., Naayagi, R. T., Thakur, R., & Panda, G. (2023) · Applied Sciences · doi:10.3390/app13158919 · Cited by 221 · see citing works
Providing the Spark: Impact of financial incentives on battery electric vehicle adoption
Clinton, B. C., & Steinberg, D. C. (2019) · Journal of Environmental Economics and Management · doi:10.1016/j.jeem.2019.102255 · Cited by 201 · see citing works
Enabling fast charging – Infrastructure and economic considerations
Burnham, A., Dufek, E. J., Stephens, T., Francfort, J., Michelbacher, C., Carlson, R. B., Zhang, J., Vijayagopal, R., Dias, F., Mohanpurkar, M., et al. (2017) · Journal of Power Sources · doi:10.1016/j.jpowsour.2017.06.079 · Cited by 194 · see citing works
Noel, L., Zarazua de Rubens, G., Kester, J., & Sovacool, B. K. (2020) · Energy Policy · doi:10.1016/j.enpol.2020.111292 · Cited by 189 · see citing works
Hardman, S., Shiu, E., Steinberger-Wilckens, R., & Turrentine, T. (2017) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2016.11.012 · Cited by 120 · see citing works
Predicting the moral consideration of artificial intelligences
Pauketat, J. V. T., & Anthis, J. R. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107372 · Cited by 60 · see citing works
Al-Buenain, A., Al-Muhannadi, S., Falamarzi, M., Kutty, A. A., Kucukvar, M., & Onat, N. C. (2021) · Vehicles · doi:10.3390/vehicles3030037 · Cited by 53 · see citing works
Singh, G., Misra, S. C., Daultani, Y., & Singh, S. (2024) · Operations Management Research · doi:10.1007/s12063-024-00442-y · Cited by 46 · see citing works
Urban power load profiles under ageing transition integrated with future EVs charging
Zhang, H., Chen, J., Yan, J., Song, X., Shibasaki, R., & Yan, J. (2021) · Advances in Applied Energy · doi:10.1016/j.adapen.2020.100007 · Cited by 40 · see citing works
- Authors
- Egbue, O., & Long, S.
- Affiliations
- Missouri University of Science and Technology (US)
- Corresponding author
- Long, Suzanna
- Venue
- Energy Policy
- Publisher
- Elsevier BV
- Published
- 2012-09
- Volume
- 48
- Pages
- 717-729
- ISSN
- 0301-4215 (ISSN-L)
- OpenAlex
- W2055240231
- Cited by
- 1,797
- References
- 1
- Citations by year
- 2026: 125 · 2025: 213 · 2024: 194 · 2023: 146 · 2022: 172 · 2021: 170 · 2020: 157 · 2019: 149 · 2018: 140 · 2017: 118 · 2016: 77 · 2015: 56 · 2014: 57 · 2013: 22
- FWCI
- 27.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Energy Policy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- DOE (DE-EE0002012)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Social Sciences › Sociology and Political Science › Social Acceptance of Renewable Energy
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Keywords
- electric vehicles, consumer adoption, consumer attitudes, technology acceptance, early adopters, socio-technical barriers, sustainability perception, purchase decision, transport policy, greenhouse gas emissions, vehicle performance
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