Modeling the social-influence-based route choice behavior in a two-route network

Zhao-Ze Zhang, Tie-Qiao Tang and Hai-Jun Huang ()

Physica A: Statistical Mechanics and its Applications, 2019, vol. 531, issue C

Abstract: In this paper, we first propose an instance-based learning theory (IBLT) model with social learning to study the day-to-day route choice behavior in a two-route network. We then define four indexes (i.e., efficiency, stability, cooperation, and equity) to investigate the effects of social learning on each traffic participant’s route choice behavior in a two-route network. Numerical results show that social influence has some positive impacts on route choice behavior when more participants select the recommended routes. Cooperation among participants requires them to change their route choice behaviors against their natural tendencies. When each participant is very conscious of other participants’ route choice behaviors, it can alleviate the above phenomenon.

Keywords: Social influence; Conformity; Route choice; Instance-based learning theory (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:531:y:2019:i:c:s0378437119310052

DOI: 10.1016/j.physa.2019.121744

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