2024-03-28T23:06:43Zhttp://buleria.unileon.es/oai/requestoai:buleria.unileon.es:10612/140212022-03-01T11:45:51Zcom_10612_17col_10612_18
Profiling Spanish Prospective Buyers of Electric Vehicles Based on Demographics
Esteves, Jose
Alonso MartÃnez, Daniel
Haro, Guillermo de
Organizacion de Empresa
Facultad de Ciencias Economicas y Empresariales
IngenierÃas
Transporte terrestre
Electric vehicle
Smart urban mobility
Electromobility
Demand response
Automotive market
Sustainability
p. 1-22
As traffic congestion and air pollution rise at alarming rates in many cities worldwide, new smart technologies are emerging to meet the urban mobility challenge. In addition, utomotive firms have transformed their business models to make them more sustainable and to adjust to demand response. Electric vehicles (EVs) represent a viable option to reduce ecological damage and improve public health. However, in the previous literature, no consensus has been reached on the profile of prospective buyers of EVs. Based on a large-scale sample of Spanish citizens and using cluster analysis, our study provides a better understanding of the demographics of such prospective buyers. We identified four types of EV prospective buyers. Our results show that although men have a strong preference for EVs, low-income older women prove to be the most EV-aware group; their automotive driving experience and concern for sustainability could be among the underlying causes of this particular interest. Another valuable insight is the greater partiality of older people for EVs. These findings have many implications for managers, especially in the automotive industry, policymakers, and sustainability strategists. They show that EV prospective buyers should not be approached as a homogeneous group but as a heterogeneous group with different socio-demographic characteristics that might help decision-makers make better business decision.
SI
2021
2022-02-25T13:50:03Z
2022-02-25T13:50:03Z
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
2071-1050
https://www.mdpi.com/2071-1050/13/16/9223
http://hdl.handle.net/10612/14021
https://doi.org/10.3390/su13169223
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
MDPI