Abstract
Public transport services are essential to secure the opportunities of activity for residents who cannot use cars. In order to provide public transport services efficiently under a limited budget, it is necessary to accurately grasp the trip pattern of residents to give guidance on where and how much services should be provided based on that. For that purpose, this study develops a "trip pattern estimation model" of the residents based on the utility maximization behavior hypothesis by using the data easily available to the local government officers in charge of transport planning, and an "operation schedule setting model" which shows the number of bus services with satisfying the minimum level of activity opportunity. The usefulness of the proposed model is examined through empirical analysis.
