Train timetable design under elastic passenger demand
A passenger centric timetable is such a timetable that the satisfaction of the passengers is maximized. However, these timetables only maximize the probability of a passenger to take the train, but provide no insight on the actual choices of the passengers. Therefore, in this manuscript we replace the deterministic passenger satisfaction function with a probabilistic demand forecasting model inside of the passenger centric train timetable design. The actual forecasts lead to a realistic train occupation. Knowing the train occupation, we can estimate the revenue and to use pricing as a mobility management to further improve the level-of-service. We use a logit model that we calibrate to reflect the known demand elasticities. We further include a competing operator as an opt-out option for the passengers. Subsequently, we integrate the passenger centric train timetabling problem with a ticket pricing problem. We solve the elastic passenger centric train timetabling problem for various types of timetables using a simulated annealing heuristic on a case study of Israeli Railways. The results of our case study show that the generated revenues can be increased by up to 15% when taking into account the passengers’ behavior along with a specific pricing scheme. This study further confirms the advantages of hybrid cyclicity.
|Keywords||Hybrid cyclicity, Passenger centric train timetabling problem, Railway demand forecasting, Revenue, Ticket pricing|
|Persistent URL||dx.doi.org/10.1016/j.trb.2018.03.002, hdl.handle.net/1765/115602|
|Series||ERIM Top-Core Articles|
|Journal||Transportation Research. Part B: Methodological|
Robenek, T. (Tomáš), Sharif Azadeh, S, Maknoon, Y. (Yousef), de Lapparent, M. (Matthieu), & Bierlaire, M. (Michel). (2018). Train timetable design under elastic passenger demand. Transportation Research. Part B: Methodological, 111, 19–38. doi:10.1016/j.trb.2018.03.002