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The influence of vehicle body type in shaping behavioural intention to acquire electric vehicles: A multi-group structural equation approach

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  • Mohamed, Moataz
  • Higgins, Christopher D.
  • Ferguson, Mark
  • Réquia, Weeberb J.

Abstract

The study presents a multi-group structural equation modelling exercise to identify differences in the mindset of individuals towards electric vehicles (EVs) across seven vehicle body types in Canada. The study utilizes a sample of 15,392 households and grounds the psychographic orientation of potential EV adopters on an extended version of the Theory of Planned Behaviour. Specifically, the study measures the impact of five latent constructs; environmental concerns, attitude, subjective norm, personal moral norm, and perceived behavioural control on the intention to adopt EVs along with socio-economic-demographic (SED) variables. The results highlight that both attitude and perceived behaviour control are the strongest factors influencing individual intention to adopt EVs. However, the multi-group invariance analysis indicates that the psychographic orientation and the SED traits of potential adopters of different EV body types are significantly different, with particular standouts in the luxury and pickup truck classes. We follow this up with an analysis of mindshare towards EVs over the seven vehicle types. Insights derived from the analysis can help define potential submarkets for EVs and accelerate their adoption.

Suggested Citation

  • Mohamed, Moataz & Higgins, Christopher D. & Ferguson, Mark & Réquia, Weeberb J., 2018. "The influence of vehicle body type in shaping behavioural intention to acquire electric vehicles: A multi-group structural equation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 54-72.
  • Handle: RePEc:eee:transa:v:116:y:2018:i:c:p:54-72
    DOI: 10.1016/j.tra.2018.05.011
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    2. Zhou, Min & Long, Piao & Kong, Nan & Zhao, Lindu & Jia, Fu & Campy, Kathryn S., 2021. "Characterizing the motivational mechanism behind taxi driver’s adoption of electric vehicles for living: Insights from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 134-152.
    3. Hackbarth, André & Madlener, Reinhard, 2018. "Combined Vehicle Type and Fuel Type Choices of Private Households: An Empirical Analysis for Germany," FCN Working Papers 17/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised May 2019.
    4. Ye, Fei & Kang, Wanlin & Li, Lixu & Wang, Zhiqiang, 2021. "Why do consumers choose to buy electric vehicles? A paired data analysis of purchase intention configurations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 14-27.
    5. Wang, Lei & Fu, Zhong-Lin & Guo, Wei & Liang, Ruo-Yu & Shao, Hong-Yu, 2020. "What influences sales market of new energy vehicles in China? Empirical study based on survey of consumers’ purchase reasons," Energy Policy, Elsevier, vol. 142(C).
    6. Ken’ichi Matsumoto & Yui Nakamine & Sunyong Eom & Hideki Kato, 2021. "Demographic, Social, Economic, and Regional Factors Affecting the Diffusion of Hybrid Electric Vehicles in Japan," Energies, MDPI, Open Access Journal, vol. 14(8), pages 1-14, April.

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