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 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 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....

In this paper, we propose an activity model under time and budget constraints to simultaneously predict the allocation of time and money to out-of-home leisure activities. The proposed framework considers the activity episode level, given that the activity is scheduled. Thus, the model considers...

In this paper, we develop a model of activity generation for a multi-day planning period that takes within-household interactions between individuals into account. The model is based on the theoretical framework we proposed in earlier work which assumes that utilities of activities are a dynamic...

In this paper we develop and explore an approach to estimate dynamic models of activity generation on one-day travel-diary data. Dynamic models predict multi-day activity patterns of individuals taking into account dynamic needs as well as day-varying preferences and time-budgets. We formulate...