2022 Volume 77 Issue 5 Pages I_961-I_973
In Arao City, Kumamoto Prefecture, mobility management (MM) has been continuously implemented for three years for active elderly people. In this study, we developed a kind of disaggregated conversion model to public transport that takes into account the attrition bias caused by samples that drop out from each step of the Travel Feedback Program (TFP), which is a typical technique of MM. As a result of model estimation, it was confirmed that those who continuously participate in TFP have a bias the make it easy to change the travel mode from car to public transportation. Furthermore, it was clarified that what individual attributes, level of service and information provided affect behavioral change at each stage of TFP.