Application of Fuzzy Reasoning Model to the Estimation of Passengers of Railway Stations

In the recent super aging society in Japan, it has been observed that the railway traffic demand for urban area tends to decrease. Basically, the urban traffic demand is regarded as derivative demand for urban activities corresponding to the increased economic activities. In particular, the passengers in railway station should be strongly connected to the activities in surrounding area. Therefore, the integration between urban development and railway convenience in the station has been proposed as a recent urban planning direction. The estimation model of railway passengers in the railway stations is created by fuzzy reasoning with the knowledge derived from the previous analysis for railway service level and activities. Finally, the proposed fuzzy reasoning model may provide the indices of area activities relating with the railway service of the stations.