Who will buy electric vehicles? Identifying early adopters in Germany

Plötz, Patrick; Schneider, Uta; Globisch, Joachim; Dütschke, Elisabeth

doi:10.1016/j.tra.2014.06.006

Cited by 292 publications

(206 citation statements)

References 24 publications

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“…Following an assumption that such price and performance parities are realised and that demand for EVs grows substantially in the future, attention is shifting towards understanding the likely nuances and dynamics of this demand (Lieven, et al 2011;Shepherd et al 2012;Zubaryeva et al 2012;Plötz et al 2014). With the importance of accounting for the idiosyncrasies of different groups in the transport market well established (Anable, 2005;Burkhardt and Milard-Ball, 2006;Barr and Prillwitz, 2012;Al-Alawi and Bradley, 2013;Budd et al 2014;Fürst, 2014), it is assumed that exploring the response of different market segments to EVs will likely prove rewarding.…”

Section: Past Researchmentioning

confidence: 99%

“…These aspects cover expressed concerns regarding the environmental consequences of car use, interest in automotive technology and the perceived importance placed on car ownership which past research has indicated represent salient issues in consumer evaluations of clean fueled vehicles (Sangkapichai and Saphores, 2009;Ozaki and Sevastyanova, 2011;Krupa et al 2014;Plötz et al 2014). The inclusion of these issues allows the analysis to simultaneously consider the views which consumer groups hold towards EVs specifically and cars in general.…”

Section: Overview Of Segmentation Approachmentioning

confidence: 99%

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Consumer structure in the emerging market for electric vehicles: Identifying market segments using cluster analysis

Morton

Anable

Nelson

2016

International Journal of Sustainable Transportation

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Article:Morton, C orcid.org/0000-0003-0984-9580, Anable, J orcid.org/0000-0002-4259-1641 and Nelson, J (2017) Consumer Structure in the Emerging Market for Electric Vehicles: Identifying market segments using cluster analysis. International Journal of Sustainable Transportation, 11 (6 ReuseUnless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. 1 Consumer Structure in the Emerging ABSTRACTThis paper presents results from a segmentation analysis of the emerging market for Electric Vehicles (EVs). Data has been sourced through the application of a self-completion household questionnaire distributed over two cities in the United Kingdom (UK). A two stage cluster analysis methodology has been followed to identify market segments in a dataset of UK drivers. Five unique segments have been identified in the analysis and are characterised by their preferences for EVs, socio-economic characteristics, current car details, and socio-psychological profiles. These segments hold a range of different EV preference levels, from those who appear unwilling to adopt an EV to those which are clearly attracted to EVs. Moreover, the features of these segments tend to suggest that segments might be attracted to or repelled from EVs for different reasons. These results demonstrate that a significant degree of consumer stratification is present in the emerging market for EVs, with the possible implications being that policy interventions at the market, as opposed to segment, level may prove ineffective due to their inability to cater for the nuances of important segments.

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Section: Past Researchmentioning

confidence: 99%

Section: Overview Of Segmentation Approachmentioning

confidence: 99%

Consumer structure in the emerging market for electric vehicles: Identifying market segments using cluster analysis

Morton

Anable

Nelson

2016

International Journal of Sustainable Transportation

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“…Barth et al [24] showed that the low penetration rate of charging points seriously hinders purchase willingness, mainly because installation of a private charging point is severely restricted and approval procedures are extremely complex [25,26]. Compounding this, public charging points have long installation periods, coupled with higher urban construction land acquisition costs, resulting in higher installation costs and larger installation resistance [6].…”

Section: Full Life Cycle Service Factors That Hinder Bev Purchasementioning

confidence: 99%

Low Purchase Willingness for Battery Electric Vehicles: Analysis and Simulation Based on the Fault Tree Model

Long

Chen

et al. 2017

Sustainability

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Purchase intention is the key to popularizing battery electric vehicles (BEVs) and to developing the industry. This study combines classical theoretical and qualitative research, and applies fault tree analysis (FTA) methods to study factors that hinder BEV purchase, and identify the logical relationship between top fault events and basic events, by calculating minimal cut sets and minimal path sets. Activity based classification analysis was used to investigate the key basic event and key event combination (i.e., minimal cut sets) that hinders purchase intention, with the effectiveness and feasibility of the proposed method verified by Monte Carlo simulation. The results indicate (1) there were 26 minimal cut sets and 18 minimal path sets in the fault tree model, and the fault tree was defined by four key event combinations and five key basic events; and (2) by reducing key events' failure probability, the probability of fault tree cumulative occurrence was reduced from 0.86021 to 0.57406 over 100,000 Monte Carlo simulations, i.e., the willingness to purchase BEVs was significantly increased. Thus, the proposed FTA method was feasible and effective for addressing low purchase intentions. Consequently, some policy implications are suggested.

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“…Plötz et al [27] investigated early adopters of EVs in Germany by analyzing questionnaire data and concluded that early adopters live in suburbs or rural areas and use EVs for commuting. This finding indicates that early adopters expect an economic benefit because of their long mileage.…”

Section: Questionnaire/interview Data Analysismentioning

confidence: 99%

Range and Battery Depletion Concerns with Electric Vehicles

Miwa

Sato

Morikawa

2017

Journal of Advanced Transportation

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This study investigates the effects of the range of a battery electric vehicle (EV) by using questionnaire data. The concern about battery depletion changes according to charging station deployment. Firstly, the methodology for deriving the probabilistic distribution of the daily travel distance is developed, which enables us to analyze people's tolerance of the risk of battery depletion. Secondly, the desired range of an EV is modeled. This model considers the effect of changing charging station deployment and can analyze the variation in the desired range. Then, the intention of a household to purchase an EV is analyzed by incorporating range-related variables. The results show that people can live with a risk of battery depletion of around 2% to 5%. The deployment of charging stations at large retail facilities and/or workplace parking spaces reduces the desired range of an EV. Finally, the answers to the questionnaire show that the probability of battery depletion on a driving day has little effect on the intention to purchase an EV. Instead, people tend to evaluate the range by itself or directly compare it with their desired range.

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Who will buy electric vehicles? Identifying early adopters in Germany

Cited by 292 publications

References 24 publications

Consumer structure in the emerging market for electric vehicles: Identifying market segments using cluster analysis

Consumer structure in the emerging market for electric vehicles: Identifying market segments using cluster analysis

Low Purchase Willingness for Battery Electric Vehicles: Analysis and Simulation Based on the Fault Tree Model

Range and Battery Depletion Concerns with Electric Vehicles

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