Abstract
The discrete analysis for travel behaviour is required to evaluate the impact of urban transport policy. The description model for daily travels based on the activity is constructed with soft computing approaches in the study. Particularly, the destination choice and mode choice are formulated as a sequential decision process for the travels. The destination choice model with fuzzy constraint and the hybrid mode choice model combining with logit model are proposed with the database from the PT survey in Chukyo area. Both models provide the sequential estimation process with significant level. The precise modelling methods for decision in travel behaviour are summarized through the above investigation.
