Modelling travel choice behavior capturing principles of psychophysics

Sunghoon Jang, Soora Rasouli, Harry Timmermans

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


Despite the popularity of models of fully rational behavior, several studies have formulated models of bounded rational behavior and presented evidence of the potential of such models. A recent examples are the random regret-minimizing models which capture regret-aversion (reference-dependent) behavior. Central to these model is the comparison of choice alternatives on an attribute-by-attribute basis. Psycho-physical researches have shown that i) individuals have different types of reference-dependent behavior, ii) the perception of attribute differences tend to be non-linear, and iii) they do not perceive or ignore the small difference. Assuming similar laws apply to the perception of travel attribute differences, this study aims to incorporate psycho-physical rules into travel behavior modeling. On the basis of the introduction of psycho-physical rules and a proposed integrated framework in travel behavior modeling, the authors develop a novel series of regret-rejoice choice model and empirically test their ability to reproduce choice data. Results based on the latent class model indicate that travelers in different class have heterogeneous psycho-physical perceptions. Therefore, capturing the psycho-physical relationships in models of travel demand seems a critical decision to better predict travelers’ behavior.
Original languageEnglish
Title of host publicationThe 98th Annual Meeting of the Transportation Research Board
Number of pages20
Publication statusPublished - Jan 2019
Event98th Annual Meeting of the Transportation Research Board - Walter E. Washington Convention Center, Washington, D.C., United States
Duration: 13 Jan 201917 Jan 2019


Conference98th Annual Meeting of the Transportation Research Board
Country/TerritoryUnited States
CityWashington, D.C.
Internet address


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