旅行費用の変化に伴う長距離旅客の機関選択行動の時系列的分析方法

抄録

This paper proposes a modal describing human behavioral process in response to fare change for long distance trips. A liner learning model is modified and applied to time-series data of the modal split. The model parameters and outcome derived from the model show good correspondence with the fare change, so the model produces good indices representing human evaluation of fare change.