Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions
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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TL;DR: In this paper, the authors constructed a two-period imperfect information game theory model to study the moral hazard involved in this issue and government agencies' optimal choice and found that the optimal choice for a farsighted government agency is to constantly improve the incentive mechanism and introduce charging stations only when the conflict of interest is eliminated.
28 citations
TL;DR: A stochastic dynamic simulation modeling framework of a regional system of EV fast-charging stations for real-time management and strategic planning (i.e., capacity allocation) purposes is developed and results indicate that DDRPA strategies are an effective mechanism to balance charging demand across fast- charging stations.
Abstract: Demand for electric vehicles (EVs), and thus EV charging, has steadily increased over the last decade. Studies suggest that fast-charging facilities are crucial for the EV market. However, there is limited fast-charging infrastructure in most parts of the world to support EV travel, especially long-distance trips. The goal of this study is to develop a stochastic dynamic simulation modeling framework of a regional system of EV fast-charging stations for real-time management and strategic planning (i.e., capacity allocation) purposes. To model EV user behavior, specifically fast-charging station choices, the framework incorporates a multinomial logit station choice model that considers station charging prices, expected wait times, and detour distances. To capture the dynamics of supply and demand at each EV fast-charging station, the framework incorporates a multi-server queueing model in the simulation. The study assumes that multiple fast-charging stations are managed by a single entity (public or private) and that the demand for these stations are interrelated (through the station choice model). To manage the system of stations, this study proposes and tests dynamic demand-responsive price adjustment (DDRPA) schemes based on station queue lengths. The study applies the modeling framework to a system of EV fast-charging stations in Southern California. The computational results indicate that DDRPA strategies are an effective mechanism to balance charging demand across fast-charging stations. Specifically, compared to the no DDRPA scheme case, the quadratic DDRPA scheme reduces average wait time by 26%, increases charging station revenue (and user costs) by 5.8%, while, most importantly, increasing social welfare by 2.7% in the base scenario. Moreover, the study also illustrates that the modeling framework can evaluate the allocation of EV fast-charging station capacity, to identify stations that require additional chargers and areas that would benefit from additional fast-charging stations.
28 citations
Cites background from "Barriers to widespread adoption of ..."
...In fact, ‘range anxiety’ from shorter driving distances between charges as well as the (in)ability to recharge batteries during travel are major obstacles for EVs in the consumer market (Egbue and Long, 2012)....
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TL;DR: In this paper , an integrated model using Unified Theory of Acceptance and Use of Technology (UTAUT) was developed to forecast customer's adoption intention towards EVs in India using perceived risk as the predictor and environmental concerns and government support as the moderators.
Abstract: The purpose of this study is to explore the factors that affect adoption intention of electric vehicles (EVs) in India. An integrated model using Unified Theory of Acceptance and Use of Technology (UTAUT) was developed to forecast customer's adoption intention towards EVs in India using perceived risk as the predictor and environmental concerns and government support as the moderators. Quantitative data from 284 customers was analyzed using hierarchical linear regression analysis and verified with necessary conditions analysis. The findings show that performance expectancy and facilitating conditions positively affect adoption intention of EVs, whereas perceived risk negatively affects adoption intention of EVs. Government support was found to moderate the relationship between perceived risk and adoption intention such that it reduces the inverse relationship of perceived risk on adoption intention. The results validate UTAUT by studying it in the context of EV's adoption in India and adds to the literature on psychological traits affecting adoption intention of new products. Implications from results for policy and practice in terms of specific measures that could be taken by automobile firms and governments to promote adoption based on results are also discussed.
27 citations
28 Jul 2020
TL;DR: The authors analyzes patterns and trends in U.S public opinion about energy pol- icy to understand which types of policy approaches Americans support and individual-level determinants that are associated with those preferences.
Abstract: This article analyzes patterns and trends in U.S public opinion about energy pol- icy to understand which types of policy approaches Americans support and the individual-level determinants that are associated with those preferences. Specifi- cally, we study data from three long-running surveys series – the National Surveys on Energy and Environment, the Climate Change in the American Mind survey, and the Gallup Poll Social Series – which collectively provide a vast array of questions on energy policy, ranging from limits on extraction to promotion of clean energy to restrictions on fossil fuel use to reduce greenhouse gas emissions. Our analysis finds strong and temporally stable support for policies that promote renewable energy technologies, as well as policies that prioritize environmental protection over energy extraction. We additionally find that partisanship is the most important determi- nant of Americans' energy policy preferences, and that there is an increasing divide between Democrats and Republicans on energy policy. Our analysis does not show that Americans prefer particular policy instruments, but we do find that support declines for policies when their costs are made explicit, and that these declines in support are similar in magnitude for Democrats and Republicans. We conclude the paper with directions for future research.
27 citations
13 May 2015
TL;DR: In this paper, an attitude-based market segmentation approach is proposed to support the development of integrated mobility services by adding the view of a specific target group, namely, innovative technology-loving multioptionals, flexible carlovers, and public transit-lovers.
Abstract: Purpose
New mobility services, referred to here as car sharing services with electric vehicles fuelled by renewable energies, could serve as an essential part of energy and climate strategies to lessen the impact of transport. However operating a car sharing scheme with electric vehicles is more expensive and offers users less autonomy than car sharing powered by internal combustion engines. Thus municipalities and operators need to answer one critical question: how to identify and address target groups to make the scheme successful?
Methodology
We focus on user requirements and attitudes towards services that integrate electric vehicles and public transport. Firstly we argue, based on an extensive literature analysis, that attitude-based market segmentation is crucial for a successful implementation of integrated e-mobility services. In the literature review we compare 23 empirical studies that employ a segmentation approach concerning their content and methodologies. Secondly, we address this need by presenting a methodology to derive attitude-based mobility typologies developed during a two-year field trial of an e-car sharing service in Berlin (Germany).
Findings
We share results from a representative market segmentation survey in Berlin, Frankfurt, Hamburg and Munich (n = 2,400). Among the six clusters, six attitude-based mobility typologies, we separated three groups specifically inclined to use mobility services: ‘the innovative technology-loving multioptionals’ (20% of the sample), ‘flexible car-lovers’ (21%) and ‘the ecological bicycle and Public Transit-lovers’ (17%).
Social implications
Attitude-based approaches like the one used in this study could support the development of integrated mobility services by adding the view of a specific target group. A range of approaches exist which use different kinds of item batteries to measure mobility related attitudes with the aim to develop target group specific services.
Originality/value
This study will provide essential information for the development of policies and interventions in support of new mobility services.
27 citations
Cites background from "Barriers to widespread adoption of ..."
...Furthermore, there is lack of knowledge about user perceptions, needs and requirements as well as possible acceptance of EVs and mode integration concepts (Egbue & Long, 2012)....
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References
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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
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
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
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
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