Journal ArticleDOI
Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions
Ona Egbue,Suzanna Long +1 more
TLDR
In this paper, the authors identify potential socio-technical barriers to consumer adoption of EVs and determine if sustainability issues influence consumer decision to purchase an EV, and provide valuable insights into preferences and perceptions of technology enthusiasts; individuals highly connected to technology development and better equipped to sort out the many differences between EVs and CVs.About:
This article is published in Energy Policy.The article was published on 2012-09-01. It has received 1207 citations till now.read more
Citations
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Journal ArticleDOI
Interested but unsure: Public attitudes toward electric vehicles in China
TL;DR: In this paper, the authors examined the barriers to the adoption of green vehicles in China from a consumer perspective, focusing on battery-only vehicles (BEVs), and found that the level of interest, perception, and demands are significantly influenced by gender, age, income, education, and car ownership status.
Are Batteries Ready for Plug-in Hybrid Buyers? - eScholarship
TL;DR: In this paper, the authors explore two aspects of the purported problem: (1) PHEV performance goals and (2) the abilities of present and near-term battery chemistries to meet the resulting technological requirements.
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The Subsidized Green Revolution: The Impact of Public Incentives on the Automotive Industry to Promote Alternative Fuel Vehicles (AFVs) in the Period from 2010 to 2018
TL;DR: In this article, the authors evaluate the short-term and long-term effects of fiscal policies on the European automotive market in the period from 2010 to 2018, focusing on the impact of mentioned public incentives for alternative fuel vehicles (AFVs).
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Electric vehicles adoption behaviour: Synthesising the technology readiness index with environmentalism values and instrumental attributes
TL;DR: In this article , the authors found that TRI, manifested through innovativeness and insecurity towards technology, is a significant driver of EV purchase intention and three instrumental factors, namely driving range, convenience, and fuel costs, were found as significant predictors.
References
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The theory of planned behavior
TL;DR: Ajzen, 1985, 1987, this article reviewed the theory of planned behavior and some unresolved issues and concluded that the theory is well supported by empirical evidence and that intention to perform behaviors of different kinds can be predicted with high accuracy from attitudes toward the behavior, subjective norms, and perceived behavioral control; and these intentions, together with perceptions of behavioral control, account for considerable variance in actual behavior.
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Car use: lust and must. Instrumental, symbolic and affective motives for car use
TL;DR: In this paper, the authors report results of two questionnaire studies aimed at examining various motives for car use, and investigate individual differences in the relative importance of the three categories of motives were investigated.
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Giving Green to Get Green: Incentives and Consumer Adoption of Hybrid Vehicle Technology
TL;DR: In this paper, the relative efficacy of state sales tax waivers, income tax credits and non-tax incentives for hybrid-electric vehicle adoption in the United States has been studied and shown that the type of tax incentive offered is as important as the value of the tax incentive.
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Beyond batteries: an examination of the benefits and barriers to plug-in hybrid electric vehicles (PHEVs) and a vehicle-to-grid (V2G) transition
TL;DR: In this article, the authors explore both the promise and the possible pitfalls of the plug-in hybrid electric vehicles (PHEV) and vehicle-to-grid (V2G) concept, focusing first on its definition and then on its technical state-of-the-art.
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Electric vehicles: How much range is required for a day’s driving?
TL;DR: In this article, a full year of high-resolution driving data from 484 instrumented gasoline vehicles in the US is used to analyze daily driving patterns, and from those infer the range requirements of electric vehicles (EVs).