Preference and lifestyle heterogeneity among potential plug-in electric vehicle buyers

Axsen, Jonn; Bailey, Joseph P.; Castro, Marisol

doi:10.1016/j.eneco.2015.05.003

Cited by 184 publications

(96 citation statements)

References 53 publications

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“…This finding shares similarities to those made by Axsen et al (2015), who note that disaggregating potential early adopters of EVs into sub-groups illustrates a varied pattern of lifestyle profiles, potentially indicating that the factors motivating the purchase of an EV might have different orders of importance across different groupings of early adopters. To elaborate this point, consider the structure of the Early Adopter and Keen Green segments which both display EVs preference levels which are similar to their preference levels for conventional powertrains, indicating these segments may represent innovators in this market.…”

Section: Discusionsupporting

confidence: 61%

“…For instance, Vergis and Chen (2015) found environmentalism and vehicle miles travelled to be less influential on PHEV compared to BEV preferences. Axsen et al (2015) identified segments with very different preferences for HEVs, PHEVs and BEVs and similarly, Anable et al (2016) found a discrete segment with a positive attitude and high intention to adopt PHEVs, but a lower than average evaluation of BEVs. Again, an expansion of this study with its particular emphasis on psychographic characteristics would benefit from a separate examination of the role of these constructs for different powertrains.…”

Section: Discusionmentioning

confidence: 99%

“…The selection of these variables was driven primarily by the expressed preferences towards EVs, including preference levels of Plug-in Hybrid EVs and Pure Battery EVs alongside variables which share significant correlations to these expressed preference levels (these variables are highlighted in Table 1). In this sense, the segmentation presented in this paper is principally a preference based segmentation, similar to that of Axsen et al (2015), who utilised responses from a stated preference EV choice experiment to partition respondents, and that of Nayum et al (2016), who employed revealed preferences for car type as segmentation variables.…”

Section: Cluster Analysismentioning

confidence: 99%

“…Firstly, the analysis indicates the presence of preference heterogeneity across a typology of consumer groups (Axsen et al 2015), implying that demand for EVs will likely originate from a sequence of different segments as the market matures. One implication of this preference heterogeneity is that models which forecast demand for EVs into the future (Eggers and Eggers, 2011;Musti and Kockelman, 2011;Shepherd et al 2012) could be augmented through an appreciation of which market segment is likely to become active at which time horizon.…”

Section: Discusionmentioning

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: Discusionsupporting

confidence: 61%

Section: Discusionmentioning

confidence: 99%

Section: Cluster Analysismentioning

confidence: 99%

Section: Discusionmentioning

confidence: 99%

See 2 more Smart Citations

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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“…Most of the developed countries have been carrying out variety public policies and financial incentives for EVs large-scale adoption [11]. In the existing literature, many researchers focus on the topics of consumers' choice decision, recharging station placement and economic analysis of EVs promotion [2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Barriers to Wide Spread Adoption of Electric Vehicles in Shenzhen China

Wang

Yang

et al. 2017

Preprint

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China planned to promote the large-scale adoption of Electric Vehicles (EVs) in the thirteenth five-year plan, however, this target faces many obstacles. This paper was trying to analyze the main barriers to widespread adoption of EVs through a survey in Shenzhen, which has the biggest EVs market share in China major cities. Based on previous scholarly findings, this paper conducted a new study which collected 406 approved questionnaires among 500 participants. The study proposed five hypotheses to examine the main barriers to widespread adoption of EVs. The analysis conducted by statistical methods: two-way frequency tables, chi-square test, and factor analysis. The results noted that perception of EVs advantages and recharging access remained the main barriers to EVs large-scale penetration. Besides, financial incentives drop would not cause a significant decline of EVs adoption in future. The study proposed suggestions to carmaker and government policy administrator on the analysis and discussion.

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Lifestyle, an integrative concept: Cross‐disciplinary insights for low‐carbon research

Agnew

Pettifor

Wilson

2023

WIREs Energy & Environment

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Lifestyle change is a fundamental component of transformative pathways to net‐zero emissions. Despite the pervasive use of ‘lifestyle’ as a concept, there is lack of convergence on what constitutes lifestyle due to contrasting perspectives and approaches within and across disciplines. While there is a long tradition of lifestyle research in public health and in marketing, this does not currently inform low‐carbon lifestyle research. We review a wide range of empirical and theoretical lifestyle studies using a directed thematic approach. Focusing on current knowledge within low‐carbon lifestyles research, we draw insights from two contrasting research perspectives (health, marketing) to support and advance low‐carbon research. We argue that ‘lifestyle’ is a unifying meta‐concept comprised of three common integrating elements: behaviours, cognitions, and context. We find variation across research fields reflecting differing emphasis and differentiate integrative from domain‐specific frameworks. Fragmented approaches in low‐carbon research compartmentalise concepts within domains such that ‘lifestyle’ is aligned more closely in meaning to ‘behaviour’, accentuating inconsistencies. Lifestyle heterogeneity is characterised by clusters of cognitive and behavioural factors linked to broad social and material contexts. We identify drivers of lifestyle change, and argue lifestyle is not purely a matter of choice but shaped by contextual factors which lock‐in unsustainable behaviours or facilitate sustainable behaviours. There are important implications for research and intervention. Lifestyle complexities demand a wider analytical lens incorporating cross‐disciplinary datasets and integrative frameworks. Broadening cognitive and contextual dimensions would deepen understanding of lifestyle change. Comprehensive low‐carbon lifestyle interventions should combine multiple strategies, at‐risk groups, and opportunistic circumstance.This article is categorized under: Climate and Environment > Net Zero Planning and Decarbonization Human and Social Dimensions > Behavioral Science

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Preference and lifestyle heterogeneity among potential plug-in electric vehicle buyers

Cited by 184 publications

References 53 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

Analysis of Barriers to Wide Spread Adoption of Electric Vehicles in Shenzhen China

Lifestyle, an integrative concept: Cross‐disciplinary insights for low‐carbon research

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