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...

The Cox proportional hazard model is the most widely used model in activity episode duration analysis. A potentially limiting underlying assumption of this model class is that the explanatory variables have a proportional effect on the hazard function. There is no direct relationship between the...

Even though the importance of representing group decision-making mechanisms of household behavior has been recognized since the 1980s in the context of the activity-based approach, studies about group behavior in transportation are relatively new and consequently limited, compared with 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...

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...