The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Electric vehicles revisited: a review of factors that affect adoption
Abstract
Electric vehicles (EVs) were recently reintroduced to the global car market. These are an improvement over their predecessors in performance and electric driving range. Although the uptake of EVs has been notable in a short period of time, most government goals for adoption have not been met. This paper reviews a growing body of peer-reviewed literature assessing factors affecting EV adoption. Several important gaps in knowledge are identified. First, there is mixed evidence of the effectiveness of government incentives in encouraging EV uptake and particularly little knowledge in regards to issues of timing and magnitude. The literature shows that public charging infrastructure is an important factor associated with EV uptake, though the direction of causality is yet unclear. Public charging infrastructure can ease range anxiety, particularly for battery electric vehicles, but there is little guidance as to the way in which government should best go about ensuring the provision of infrastructure. Lastly, the nascent EV market means that studies primarily rely on surveys about hypothetical situations. There is strong evidence that actual purchases are much lower than consumers’ stated preferences. Improving understanding of this “attitude–action” gap is important to better informing studies of EV uptake over time.
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Cites
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The influence of financial incentives and other socio-economic factors on electric vehicle adoption
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Willingness to pay for electric vehicles and their attributes
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(2020) · Lecture Notes in Civil Engineering · doi:10.1007/978-981-32-9042-6 · Cited by 818
Giving green to get green? Incentives and consumer adoption of hybrid vehicle technology
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Intent to purchase a plug-in electric vehicle: A survey of early impressions in large US cites
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Cited by
Predicting the Regional Adoption of Electric Vehicle (EV) With Comprehensive Models
Jia, J., Shi, B., Che, F., & Zhang, H. (2020) · IEEE Access · doi:10.1109/access.2020.3014851 · Cited by 51
Metadata
- Authors
- Coffman, M., Bernstein, P., & Wee, S.
- Venue
- Transport Reviews
- Publisher
- Informa UK Limited
- Published
- 2016-08-10
- Volume
- 37
- Issue
- 1
- Pages
- 79-93
- ISSN
- 0144-1647 (ISSN-L)
- 1464-5327
- OpenAlex
- W2505190578
- Cited by
- 665
- References
- 59
- FWCI
- 11.43
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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