This paper presents a formal model of traveler compliance with different types of advice (or guidance, prescriptive information) based on the premises of Bayesian expected utility decision-making. The developed model explains a traveler's propensity to comply with received advice in terms of the...

This paper presents an alternative to Random Utility-Maximization models of travel choice. Our Random Regret-Minimization model is rooted in Regret Theory and provides several useful features for travel demand analysis. Firstly, it allows for the possibility that choices between travel...

Behavioral models of the perceived value of travel information are developed that take into account satisficing as well as maximizing behavior, and are suitable for the evaluation of information acquisition for alternative generation as well as assessment. This is done by integrating notions of...

This paper derives and illustrates measures for the ex ante evaluation of user benefits associated with improvements in the transport system. In contrast with conventional analyses, we assume that awareness among travelers of changes in the transport system is limited and grows over time....