Modelling the Passenger Choice Behaviour of Buying High-Speed Railway Tickets

  • Zhenying Yan Transportation Institute, Inner Mongolia Engineering Research Center for Urban Transportation Data Science and Applications, Inner Mongolia University
  • Meiying Jian Transportation Institute, Inner Mongolia Engineering Research Center for Urban Transportation Data Science and Applications, Inner Mongolia University
  • Xiaojuan Li Transportation Institute, Inner Mongolia Engineering Research Center for Urban Transportation Data Science and Applications, Inner Mongolia University
  • Jinxin Cao Inner Mongolia Academy of Science and Technology
Keywords: railway transportation, passenger choice behaviour, conditional logit model, SP survey, revenue management

Abstract

Passenger choice behaviour of buying tickets has a great impact on the high-speed rail (HSR) revenue management. It is very critical to find out the sensitive factors that prevent passengers with high willingness to pay for a ticket from buying low-price tickets. The literature on passenger choice behaviour mainly focuses on travel mode choice, choice between a conventional train and a high-speed train and choice among high-speed trains. To extend the literature and serve revenue management, this paper investigates passenger choice behaviour of buying high-speed railway tickets. The data were collected by the stated preference (SP) survey based on Beijing-Hohhot high-speed railway. The conditional logit model was established to analyse influencing factors for business travel and non-business travel. The results show that: business passengers have the higher inherent preference for full-price tickets, while non-business passengers have the higher inherent preference for discount tickets; the number of days booked in advance and frequent passenger points have a significant impact on the ticket choice of business travellers, but not on non-business travellers; passengers are unwilling to buy tickets that depart after 16:00 for non-business travel; factors have different effects on the passengers' choice in business travel and non-business travel. The results can provide parameters for revenue management models and references for the ticket-product design.

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Published
2022-06-01
How to Cite
1.
Yan Z, Jian M, Li X, Cao J. Modelling the Passenger Choice Behaviour of Buying High-Speed Railway Tickets. Promet [Internet]. 2022Jun.1 [cited 2022Nov.29];34(3):455-6. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/3942
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Articles