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 the authors 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, the authors can estimate the revenue and to use pricing as a mobility management to further improve the level-of-service. The authors use a logit model that they calibrate to reflect the known demand elasticities. The authors further include a competing operator as an opt-out option for the passengers. Subsequently, the authors integrate the passenger centric train timetabling problem with a ticket pricing problem. The authors 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 the authors' 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.

• Record URL:
  • https://doi.org/10.1016/j.trb.2018.03.002
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0191261517304496
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Robenek, Tomáš
  • Azadeh, Shadi Sharif
  • Maknoon, Yousef
  • de Lapparent, Matthieu
  • Bierlaire, Michel
• Publication Date: 2018-5

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 19-38
• Serial:
  • Transportation Research Part B: Methodological
  • Volume: 111
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0191-2615
  • Serial URL: http://www.sciencedirect.com/science/journal/01912615

Subject/Index Terms

• TRT Terms: Demand; Level of service; Logits; Passengers; Pricing; Revenues; Timetables; Train operations
• Subject Areas: Finance; Operations and Traffic Management; Passenger Transportation; Railroads;

Filing Info

• Accession Number: 01670124
• Record Type: Publication
• Files: TRIS
• Created Date: May 23 2018 11:42AM