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Journal ArticleDOI

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

01 Sep 2012-Energy Policy (Elsevier)-Vol. 48, pp 717-729
TL;DR: 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.
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Journal ArticleDOI
16 Dec 2022-Energies
TL;DR: In this paper , the authors developed an optimal modeling framework for the consideration of renewable energy technologies (RET) along with electric vehicle infrastructure for planning an electric vehicle charging infrastructure that is powered through clean energy sources.
Abstract: Electric vehicles (EV) have the potential to significantly reduce carbon emissions. Yet, the current electric vehicle charging infrastructure utilizes electricity generated from non-renewable sources. In this study, the rooftop area of structures is analyzed to assess electricity that can be generated through solar- and wind-based technologies. Consequently, planning an electric vehicle charging infrastructure that is powered through ‘clean’ energy sources is presented. We developed an optimal modeling framework for the consideration of Renewable Energy Technologies (RET) along with EV infrastructure. After examining the level of technology, a MATLAB image segmentation technique was used to assess the available rooftop area. In this study, two competitive objectives including the economic cost of the system and CO2 emissions are considered. Three scenarios are examined to assess the potential of RET to meet the EV demand along with the Abu Dhabi city one while considering the life-cycle emission of RET and EV systems. When meeting only EV demand through Renewable Energy Technologies (RET), about 187 ktonnes CO2 was reduced annually. On the other hand, the best economic option was still to utilize grid-connected electricity, yielding about 2.24 Mt CO2 annually. In the scenario of meeting both 10% EV demand and all Abu Dhabi city electricity demand using RE, wind-based technology is only able to meet around 3%. Analysis carried out by studying EV penetration demonstrated the preference of using level 2 AC home chargers compared to other ones. When the EV penetration exceeds 25%, preference was observed for level 2 (AC public 3ϕ) chargers.

2 citations

11 Apr 2017

2 citations


Cites background from "Barriers to widespread adoption of ..."

  • ...Understanding cost In recent years a growing literature has explored public opinion on ZEVs, with the results generally showing support for these vehicles (Egbue & Long, 2012)....

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  • ...…of knowledge described in this section is relevant for policy makers and policy design, as government programs will have little effect on uptake rates as long as 23 the majority of consumers are uncomfortable with these technologies (Egbue & Long, 2012; Eppstein, Grover, Marshall, & Rizzo, 2011)....

    [...]

  • ...…while ZEV purchase prices continue to decline, cost remains one of the most commonly cited barriers to adoption, and is a significant deterrent for many buyers (Axsen & Kurani, 2013; Carley et al., 2013; Egbue & Long, 2012; Graham-Rowe et al., 2012; Hidrue et al., 2011; Sovacool & Hirsh, 2009)....

    [...]

  • ...2 While research indicates that public support for zero emission vehicles (ZEVs) continues to grow (Egbue & Long, 2012), the price of ZEVs relative to internal combustion engine vehicles (ICEVs) is a commonly cited barrier to adoption for many buyers....

    [...]

Proceedings ArticleDOI
20 Aug 2021
TL;DR: In this article, the authors proposed a method to predict the sales of electric vehicles by analyzing people's comments on social media, where sentiment score, number of comments and likes, and keyword existence were treated as input indicators.
Abstract: It is believed that people's comments on a certain product may affect its sales condition. In this paper, we propose a method to predict the sales of electric vehicles by analyzing people's comments on social media. We scrap user comments from a Chinese social media “Weibo” and try to predict the electric vehicle sales in China by using Natural Language Processing (NLP). Sentiment score, number of comments and likes, and keyword existence are treated as input indicators. We test linear regression, random forest, and gradient boosting algorithm during the experiment. The result shows that the model which using gradient boosting algorithm to predict the market share of electric vehicles has the best performance.

2 citations

Book ChapterDOI
21 Jul 2018
TL;DR: In this article, a two-stage approach (focus group discussions and questionnaires with discrete choice experiments) was used to explore the influence of various support measures and other parameters on the decision to buy an electric vehicle.
Abstract: A broad market penetration of electric vehicles could counteract emissions of greenhouse gases and high particulate matter pollution in cities. However, this is currently prevented by numerous perceived barriers. Government support measures designed to counteract these impediments do not have the desired effect. The present study uses a two-stage approach (focus group discussions and questionnaires with discrete choice experiments) to explore the influence of various support measures and other parameters on the decision to buy an electric vehicle. The results indicate that although financial support, like other support measures, is perceived as motivating, it cannot compensate for the other perceived disadvantages of electric vehicles. State subsidies even have the smallest impact on purchasing decisions. In addition to the electricity generation from renewable energy sources, the range of vehicles and the state of the charging infrastructure are decisive and cannot be compensated for by subsidy programs.

2 citations

References
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Journal ArticleDOI
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.

65,095 citations

Journal ArticleDOI
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.
Abstract: This paper reports results of two questionnaire studies aimed at examining various motives for car use. In the first study, a random selection of 185 respondents who possess a driving licence were interviewed. Respondents were recruited from the cities of Groningen and Rotterdam, The Netherlands. The sample of the second study comprised a random selection of 113 commuters who regularly travelled during rush hours in and around Rotterdam, a region in the west of the Netherlands. First, it was examined which categories of car use motives may be distinguished. As proposed by Dittmar’s (1992) [The social psychology of material possessions: to have is to be. Havester Wheatsheaf, Hemel Hempstead, UK; St. Martin’s Press, New York] model on the meaning of material possessions, results from both studies revealed that car use not only fulfils instrumental functions, but also important symbolic and affective functions. Second, it was studied to what extent these different motives are related to the level of car use. From the results of study 2, it appeared that commuter car use was most strongly related to symbolic and affective motives, and not to instrumental motives. Third, individual differences in the relative importance of the three categories of motives were investigated. In both studies, most group differences were found in the evaluation of the symbolic and affective motives (and not the instrumental ones). Especially frequent drivers, respondents with a positive car attitude, male and younger respondents valued these non-instrumental motives for car use. These results suggest that policy makers should not exclusively focus on instrumental motives for car use, but they should consider the many social and affective motives as well.

1,064 citations

Journal ArticleDOI
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.
Abstract: Federal, state and local governments use a variety of incentives to induce consumer adoption of hybrid-electric vehicles. We study the relative efficacy of state sales tax waivers, income tax credits and non-tax incentives and find that the type of tax incentive offered is as important as the value of the tax incentive. Conditional on value, we find that sales tax waivers are associated a seven-fold greater increase in hybrid sales than income tax credits. In addition, we estimate the extent to which consumer adoption of hybrid-electric vehicles (HEV) in the United States from 2000-2006 can be attributed to government incentives, changing gasoline prices, or consumer preferences for environmental quality or energy security. After controlling for model specific state and time trends, we find that rising gasoline prices are associated with higher hybrid sales, although the effect operates entirely through sales of the hybrid models with the highest fuel economy. In total, we find that tax incentives, rising gasoline prices and social preferences are associated with 6, 27 and 36 percent of high economy hybrid sales from 2000-2006.

595 citations

Journal ArticleDOI
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.

551 citations

Journal ArticleDOI
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).
Abstract: One 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). We conservatively assume that EV drivers would not change their current gasoline-fueled driving patterns and that they would charge only once daily, typically at home overnight. Next, the market is segmented into those drivers for whom a limited-range vehicle would meet every day’s range need, and those who could meet their daily range need only if they make adaptations on some days. Adaptations, for example, could mean they have to either recharge during the day, borrow a liquid-fueled vehicle, or save some errands for the subsequent day. From this analysis, with the stated assumptions, we infer the potential market share for limited-range vehicles. For example, we find that 9% of the vehicles in the sample never exceeded 100 miles in one day, and 21% never exceeded 150 miles in one day. These drivers presumably could substitute a limited-range vehicle, like electric vehicles now on the market, for their current gasoline vehicle without any adaptation in their driving at all. For drivers who are willing to make adaptations on 2 days a year, the same 100 mile range EV would meet the needs of 17% of drivers, and if they are willing to adapt every other month (six times a year), it would work for 32% of drivers. Thus, it appears that even modest electric vehicles with today’s limited battery range, if marketed correctly to segments with appropriate driving behavior, comprise a large enough market for substantial vehicle sales. An additional analysis examines driving versus parking by time of day. On the average weekday at 5 pm, only 15% of the vehicles in the sample are on the road; at no time during the year are fewer than 75% of vehicles parked. Also, because the return trip home is widely spread in time, even if all cars plug in and begin charging immediately when they arrive home and park, the increased demand on the electric system is less problematic than prior analyses have suggested.

541 citations