What about behaviour in travel demand modelling? An overview of recent progress

Abstract

This paper provides a discussion of recent attempts in travel demand modelling focused on increasing the behavioural realism of choice-models. More specifically, the paper focuses on discussing the merits of four modelling approaches that have recently emerged in the field of travel demand modelling, and are either inspired by or adopted from recent advances in the broader behavioural sciences: i) latent variable models, ii) random regret minimization-models, iii) prospect theory-based models and iv) social network/group decision-making models. The potential as well as the pitfalls associated with these models, and with learning from the broader behavioural sciences in general, are explicitly discussed in light of the specific needs of travel demand modellers in academia and practice.

Keywords:

• Travel demand modelling
• latent variable
• random regret
• prospect theory
• social network
• group decisionmaking