Abstract
Recent theoretical works dealing with space–time modeling of individuals' behavior indicate that temporal constraints are extremely important in the proper representation of this behavior. In this paper, we define and test empirically a framework for trip-generation models which is sensitive to temporal constraints. A sequential choice process is assumed where at the first stage the household decides whether or not to perform a trip for a specific purpose during the day, and in the second stage a decision is taken as to which period. These types of models are sensitive to important policy issues such as evaluating the changes in activity patterns of individuals that result from changes in working hours, the opening and closing times of stores and businesses, and changes in the number of working days in a week.
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