2016
DOI: 10.1080/15568318.2016.1266533
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Consumer structure in the emerging market for electric vehicles: Identifying market segments using cluster analysis

Abstract: 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 … Show more

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Cited by 61 publications
(31 citation statements)
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References 76 publications
(74 reference statements)
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“…Finally, BEV adaption in form of planning longer trips more carefully had a positive effect on BEV usage (β = .10, p < .05). may also be relevant to differentiate between subgroups attracted more by environmental motives versus technology and innovation as indicated by a recent market segmentation study (Morton, Anable, & Nelson, 2017). Apart from symbolic marketing, it seems highly relevant to inform about recent improvements in driving range of BEVs as many CV users feel unable to assess how satisfying the driving range of BEV is and when they do so, their ratings are much worse than the ratings of BEV users.…”
Section: Factors Of Bev Usagementioning
confidence: 99%
“…Finally, BEV adaption in form of planning longer trips more carefully had a positive effect on BEV usage (β = .10, p < .05). may also be relevant to differentiate between subgroups attracted more by environmental motives versus technology and innovation as indicated by a recent market segmentation study (Morton, Anable, & Nelson, 2017). Apart from symbolic marketing, it seems highly relevant to inform about recent improvements in driving range of BEVs as many CV users feel unable to assess how satisfying the driving range of BEV is and when they do so, their ratings are much worse than the ratings of BEV users.…”
Section: Factors Of Bev Usagementioning
confidence: 99%
“…Clearly, these factors should be taken into account when designing and marketing future PEVs. Researchwise, there is increasing research that emphasises the need to market PEVs in a targeted or segmented way to users (Morton, 2013, Morton et al, 2016b, Sovacool et al, 2018a.…”
Section: Discussionmentioning
confidence: 99%
“…It has developed rapidly in the past 20 years and has been widely used in the fields of commercial pattern recognition, plant classification, etc. [39]. As shown in Figure 4, the results of clustering analysis indicated that the 24 batches of SD samples were mainly divided into two categories: The first type was Zhejiang SD (ZJ-1 to ZJ-11); the second type was Guizhou SD (GZ-1 to GZ-13).…”
Section: Hcamentioning
confidence: 96%