Modelling the Passenger Choice Behaviour of Buying High-Speed Railway Tickets
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 b...
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| Format: | Article |
| Language: | English |
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University of Zagreb, Faculty of Transport and Traffic Sciences
2022-06-01
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| Series: | Promet (Zagreb) |
| Subjects: | |
| Online Access: | https://traffic.fpz.hr/index.php/PROMTT/article/view/3942 |
| _version_ | 1811239762750603264 |
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| author | Zhenying YAN Meiying JIAN Xiaojuan LI Jinxin CAO |
| author_facet | Zhenying YAN Meiying JIAN Xiaojuan LI Jinxin CAO |
| author_sort | Zhenying YAN |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T13:06:49Z |
| format | Article |
| id | doaj.art-32e86e082b184109969a2196113622c8 |
| institution | Directory Open Access Journal |
| issn | 0353-5320 1848-4069 |
| language | English |
| last_indexed | 2024-04-12T13:06:49Z |
| publishDate | 2022-06-01 |
| publisher | University of Zagreb, Faculty of Transport and Traffic Sciences |
| record_format | Article |
| series | Promet (Zagreb) |
| spelling | doaj.art-32e86e082b184109969a2196113622c82022-12-22T03:31:59ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692022-06-0134345546510.7307/ptt.v34i3.39423942Modelling the Passenger Choice Behaviour of Buying High-Speed Railway TicketsZhenying YAN0Meiying JIAN1Xiaojuan LI2Jinxin CAO3Transportation Institute, Inner Mongolia Engineering Research Center for Urban Transportation Data Science and Applications, Inner Mongolia UniversityTransportation Institute, Inner Mongolia Engineering Research Center for Urban Transportation Data Science and Applications, Inner Mongolia UniversityTransportation Institute, Inner Mongolia Engineering Research Center for Urban Transportation Data Science and Applications, Inner Mongolia UniversityInner Mongolia Academy of Science and TechnologyPassenger 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.https://traffic.fpz.hr/index.php/PROMTT/article/view/3942railway transportationpassenger choice behaviourconditional logit modelsp surveyrevenue management |
| spellingShingle | Zhenying YAN Meiying JIAN Xiaojuan LI Jinxin CAO Modelling the Passenger Choice Behaviour of Buying High-Speed Railway Tickets Promet (Zagreb) railway transportation passenger choice behaviour conditional logit model sp survey revenue management |
| title | Modelling the Passenger Choice Behaviour of Buying High-Speed Railway Tickets |
| title_full | Modelling the Passenger Choice Behaviour of Buying High-Speed Railway Tickets |
| title_fullStr | Modelling the Passenger Choice Behaviour of Buying High-Speed Railway Tickets |
| title_full_unstemmed | Modelling the Passenger Choice Behaviour of Buying High-Speed Railway Tickets |
| title_short | Modelling the Passenger Choice Behaviour of Buying High-Speed Railway Tickets |
| title_sort | modelling the passenger choice behaviour of buying high speed railway tickets |
| topic | railway transportation passenger choice behaviour conditional logit model sp survey revenue management |
| url | https://traffic.fpz.hr/index.php/PROMTT/article/view/3942 |
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