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Modelling the influence of peers’ attitudes on choice behaviour: Theory and empirical application on electric vehicle preferences

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  • Manca, Francesco
  • Sivakumar, Aruna
  • Daina, Nicolò
  • Axsen, Jonn
  • Polak, John W

Abstract

While the importance of social influence on transport-related choices is commonly acknowledged within the transport and travel behaviour research community, there remain several challenges in modelling influence in practice. This paper proposes a new analytical approach to measure the effects of attitudes of peers on the decision making process of the individual. Indeed, while most of the previous literature focused its attention on capturing conformity to a certain real or hypothetical choice, we investigate the subtle effect of attitudes that underlies this choice. Specifically, the suggested measure enables us to model the correlated effect that might indirectly affect the individual’s choice within a social group. It combines detailed information on the attitudes in the individual’s social network and the social proximity of the individuals in the social network. To understand its behavioural implications on the individual’s choice, the individual’s peer attitude variable is tested in different components of a hybrid choice model. Our results show that the inclusion of this variable indirectly affects the decision making process of the individual as the peers’ attitudes are significantly related to the latent attitude of the individual. On the other hand, it does not seem to directly affect the utility of an alternative as a source of systematic heterogeneity nor does it work as a manifestation of the latent variable, i.e. as an indicator.

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  • Manca, Francesco & Sivakumar, Aruna & Daina, Nicolò & Axsen, Jonn & Polak, John W, 2020. "Modelling the influence of peers’ attitudes on choice behaviour: Theory and empirical application on electric vehicle preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 278-298.
  • Handle: RePEc:eee:transa:v:140:y:2020:i:c:p:278-298
    DOI: 10.1016/j.tra.2020.08.016
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    5. Guilhem Lecouteux & Léonard Moulin, 2023. "Cycling in the Aftermath of COVID-19: An Empirical Estimation of the Social Dynamics of Bicycle Adoption in Paris," GREDEG Working Papers 2023-02, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    6. Sunbin YOO & KUMAGAI Junya & KAWABATA Yuta & MANAGI Shunsuke, 2022. "Achieving Inclusive Transportation: Fully Automated Vehicles with Social Support," Discussion papers 22017, Research Institute of Economy, Trade and Industry (RIETI).
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