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.
| Original language | English |
|---|---|
| Pages (from-to) | 278-298 |
| Number of pages | 21 |
| Journal | Transportation Research Part A: Policy and Practice |
| Volume | 140 |
| DOIs | |
| Publication status | Published - 30 Oct 2020 |
Funding
We acknowledge funding from Shell Global Solutions for data collection and thank all the participants for their contributions to this research. This study was mainly supported by the UK Engineering and Physical Sciences Research Council (EPSRC) under the Imperial College President’s PhD Scholarship Scheme and partially under the award EP/N010612/1 . The dissemination of its results was also funded by the Il Circolo Italian Cultural Association Scholarship. Special thanks to Dr Stephen Skippon for contributing to the initial design of the survey instrument, as well as to Caroline Orlebar for helping to recruit participants in the study. This work has also importantly benefitted from additional conversations with Caspar Chorus and Elisabetta Cherchi regarding the HCM model formulations. Finally, we would like to thank the three anonymous reviewers for a very insightful set of comments which significantly contributed to improving the paper. The responsibility for any mistake is of the authors alone. We acknowledge funding from Shell Global Solutions for data collection and thank all the participants for their contributions to this research. This study was mainly supported by the UK Engineering and Physical Sciences Research Council (EPSRC) under the Imperial College President's PhD Scholarship Scheme and partially under the award EP/N010612/1. The dissemination of its results was also funded by the Il Circolo Italian Cultural Association Scholarship. Special thanks to Dr Stephen Skippon for contributing to the initial design of the survey instrument, as well as to Caroline Orlebar for helping to recruit participants in the study. This work has also importantly benefitted from additional conversations with Caspar Chorus and Elisabetta Cherchi regarding the HCM model formulations. Finally, we would like to thank the three anonymous reviewers for a very insightful set of comments which significantly contributed to improving the paper. The responsibility for any mistake is of the authors alone.
Keywords
- correlated effects
- electric vehicle preference
- hybrid choice models
- individual's peer attitudes
- social influence
- social network
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