Applying price and time differentiation to modeling cabin choice in high-speed rail

This paper applies price differentiation of time segment, service class, and advance purchase to modeling cabin choice behavior. The proposed model was constructed with combining revealed-preference and stated-preference and validated by the case of reserved and unreserved-seat cabins in Taiwan high-speed rail. Furthermore, this study also investigates the effect of seat uncertainty in order to estimate its monetary value. The empirical results reveal that time discount and seat available definitely act as important roles on cabin choice behavior as well as fare level. Scenario analysis suggests cabin allocation should vary with time segment and trip characteristics.