2023 Volume 78 Issue 5 Pages I_605-I_612
Intercity passenger transportation is characterized by seasonal fluctuations in demand. There is a risk of idle-ness in the off-season and a decrease in the efficiency of the assets if the amount of rolling stocks such as vehicles and personnel is adjusted to the busy season. This study proposes a method to quantitatively analyze the effects of idle-avoidance measures using an optimization model. Based on the consumer surplus maximization model of the previous study, multiple seasons with different demand patterns are taken into account, and the operation links in the network, operating volume, and fare are treated as season-specific variables. We consider the combination of the interoperability of vehicles and the seasonal changes in fares as idle avoidance measures, and compare the values of total consumer surplus and other factors to assess the effect of them.
