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 theorybased 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.
Original language | English |
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Pages (from-to) | 93-104 |
Number of pages | 12 |
Journal | Transportation Letters |
Volume | 4 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2012 |
Keywords
- Group decisionmaking
- Latent variable
- Prospect theory
- Random regret
- Social network
- Travel demand modelling