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Journal ArticleDOI

Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions

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.
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This article is published in Energy Policy.The article was published on 2012-09-01. It has received 1207 citations till now.

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Acceptance of electric ride-hailing under the new policy in Shenzhen, China: Influence factors from the driver’s perspective

TL;DR: In this paper, the authors explored the factors that affect the acceptance of electric ride-hailing (ER) by electric ridehailing driver (ERD) and fuel or hybrid rideharing driver (FHRD).
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User Experience with Electric Vehicles while Driving in a Critical Range Situation - A Qualitative Approach

TL;DR: In this paper, the authors investigated the impact of range anxiety on the user experience of battery electric vehicles (BEVs) in critical range situations and found that the available range safety buffer and the uncertainty regarding the energy consumption of the BEV could be identified as central factors related to user experience.
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Effect of socio-economic factors on EV/HEV/PHEV adoption rate in Ontario

TL;DR: In this paper, the authors analyzed the impact of socio-economic factors on Alternative Fuel Vehicles (AFV) adoption rates in Ontario between the years 2012 to 2050 and concluded that EV, HEV and PHEV adoption will increase substantially in the future, comprising of approximately 30% to 38% of the total conventional vehicles sold by 2050.
Journal ArticleDOI

The effect of information overload on the intention of consumers to adopt electric vehicles

TL;DR: In this paper, the authors investigated the relationship among EV-related information characteristics, information overload, and pro-electric vehicle behavioral intentions of consumers and found that the perceived information overload of consumers can exert a negative impact on their pro-EV behavioral intentions.
References
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Journal ArticleDOI

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).
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