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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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Citations
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Evaluating Electric Vehicle Charging Infrastructure Policies

TL;DR: In this paper, the authors analyzed the use of public charging infrastructure and its relation to electric vehicle adoption in urban areas and found that purchase incentives, local roll-out strategies and parking policies have a substantial influence on charging behavior and significant cross-pollination between charging and purchase policies.
Journal ArticleDOI

Simulation-optimization for station capacities, fleet size, and trip pricing of one-way electric carsharing systems

TL;DR: In this paper, an event-driven discrete-event simulation (EDDES) approach based on an O2DES framework for a one-way electric carsharing system (OECS) is presented.
Journal ArticleDOI

Electric Vehicles Scale Evolution Model Considering Social Attributes

TL;DR: This paper proposes the electric vehicle purchase decision model considering the influences of technology, economy and society, and an electric vehicle scale evolution model is established, so that it can be used to analyze the impact of the structural characteristics of social networks on the scale evolution.
Proceedings ArticleDOI

Assessing the viability of electric vehicle technologies for UK fleet operators

TL;DR: In this paper, the authors developed software tools that could be used to minimise consumer attitudinal barriers that inhibit the adoption of new vehicle technologies, and demonstrated the significant CO2 emissions reduction possible with electric vehicles and that vehicle range is largely determined by the charging infrastructure.
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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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