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
Toward Net-Zero: The Barrier Analysis of Electric Vehicle Adoption and Transition Using ANP and DEMATEL
TL;DR: In this article , the authors identify, prioritize, and display the relationship between EV adoption barriers from an automotive industry perspective using an analytic network process (ANP) and the decision-making trial and evaluation laboratory (DEMATEL) method.
Posted Content
Who are Driving Electric Vehicles? An analysis of factors that affect EV adoption in Hawaii
TL;DR: For example, this article found that higher income zipcodes are associated with higher levels of EV adoption, where an increase of $10,000 in median income is associated with an additional 6 EVs within the 2010-2016 study time period (where the average zipcode in their sample had 68 EVs in 2016).
Journal ArticleDOI
Global Perspectives on and Research Challenges for Electric Vehicles
Nuria Novas,Rosa M. García Salvador,Francisco Portillo,Isabel Robalo,Alfredo Alcayde,Manuel Fernández-Ros,J.A. Gazquez +6 more
TL;DR: In this article , the characteristics of worldwide scientific contributions to the field of electric vehicles (EVs) from 1955 to 2021 were described, and the most relevant publications within each group, i.e., those related to the most publications, were analyzed.
Journal ArticleDOI
Einflussfaktoren der touristischen Verkehrsmittelwahl
TL;DR: In this paper , an empirische Untersuchung mit n=738 ermittelte durch multiple lineare Regression wichtige Ansatzpunkte für die Gestaltung von Handlungsempfehlungen.
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).