Evaluation of Bicycle Transport Policy in Local City with Fuzzy Reasoning Model

Abstract

The bicycle transport policy is promoted in local cities of Japan regarding with urban environment and health of citizens. In particular, the bicycle can be used as a single transport mode as well as a feeder service for the other modes. Therefore, the transport policy relating with complex decision process of trip makers should be important. According to above consideration, the nonlinear modal split modes would be formulated by fuzzy reasoning method in the study. It is known that fuzzy reasoning model is more applicable than the traditional disaggregate model (e.g. logit model). As fuzzy reasoning model is created with person trip survey, the evaluation of future bicycle transport policy can be performed. It is concluded that the impact of bicycle transport policy can be estimated quantitatively.