Modelling the influence of peers' attitudes on choice behaviour: Theory and empirical application on electric vehicle preferences. (October 2020)

• Record Type: Journal Article
• Authors: Manca, Francesco; Sivakumar, Aruna; Daina, Nicolò; Axsen, Jonn; Polak, John W
• Is Part Of: Transportation research. Volume 140(2020)
• Page Start: 278
• Page End: 298
• Publication Date: 2020-10
• Subjects: Social influence -- Correlated effects -- Social network -- Individual's peer attitudes -- Hybrid choice models -- Electric vehicle preference; Transportation -- Research -- Periodicals; 388.011
• DOI: 10.1016/j.tra.2020.08.016
• Languages: English
• ISSNs: 0965-8564

Abstract

Highlights: We propose an analytical framework to account for correlated effects within a social network. We quantify the correlated effects by combining individual's peer attitudes and social proximity. The social influence variable has been systematically tested in different hybrid choice model specifications in the context of EV purchase preferences. An 'open to innovation' person is likely to be part of a social network in which peers are also 'open to innovation'. Social proximity and a larger number of 'open to innovation' peers can positively affect the preference for EVs. 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.