Modeling disaggregate behavioral modal switching models based on intention data

The purpose of this paper is to develop a disaggregate behavioral model which directly predicts traveler's modal switching behavior due to a transport service change. Based on the random utility theory, several disaggregate modal switching models are formulated, which incorporate resistance to change in modal switching behavior. These models are estimated using stated preference data obtained from an originally designed questionnaire survey. An empirical examination shows that it is very important to incorporate state dependence effects into disaggregate modal choice models.