TY - JOUR
T1 - Consumer Structure in the Emerging Market for Electric Vehicles
T2 - Identifying market segments using cluster analysis
AU - Morton, Craig
AU - Anable, Jillian
AU - Nelson, John
N1 - This research presented in this paper was made possible by a PhD studentship funded by the UK Research Councils (Grant No: NERC NE/G007748/1) as part of the Energy Demand Theme of the UK Energy Research Centre (UKERC). The authors would like to express their gratitude to the anonymous reviewers for their helpful commentary of the paper.
PY - 2017/3/7
Y1 - 2017/3/7
N2 - This 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.
AB - This 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.
KW - electric vehicles
KW - market segmentation
KW - demand
KW - demographic profiling
KW - psychographic profiling
U2 - 10.1080/15568318.2016.1266533
DO - 10.1080/15568318.2016.1266533
M3 - Article
VL - 11
SP - 443
EP - 459
JO - International Journal of Sustainable Transportation
JF - International Journal of Sustainable Transportation
SN - 1556-8318
IS - 6
ER -