Joint Optimization of Ticket Pricing Strategy and Train Stop Plan for High-Speed Railway: A Case Study
In this study, we examined ticket pricing and train stop planning for the high-speed railway (HSR), which integrates two key aspects of railway operation and organization. We considered that passenger demand is sensitive to the generalized travel cost (depending on the ticket price and the travel ti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/10/1679 |
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| author | Jin Qin Xiqiong Li Kang Yang Guangming Xu |
| author_facet | Jin Qin Xiqiong Li Kang Yang Guangming Xu |
| author_sort | Jin Qin |
| collection | DOAJ |
| description | In this study, we examined ticket pricing and train stop planning for the high-speed railway (HSR), which integrates two key aspects of railway operation and organization. We considered that passenger demand is sensitive to the generalized travel cost (depending on the ticket price and the travel time) and that the train stop plan can affect the travel time and passenger distribution. Then, a mixed-integer non-linear optimization model was proposed for the joint problem of ticket pricing and train stop planning to maximize HSR’s transport revenue and minimize passengers’ travel time. Based on the high similarity between combinatorial optimization problems and the solid annealing principle, we designed a combined simulated annealing (CSA) algorithm to solve practical problems. The results of a numerical example in the real HSR network showed that the proposed method can improve transport revenue by 5.1% and reduce passengers’ travel time loss by 11.15% without increasing transport capacity. |
| first_indexed | 2024-03-10T03:28:49Z |
| format | Article |
| id | doaj.art-42a472b940b041cb974100c3eb72333c |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T03:28:49Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-42a472b940b041cb974100c3eb72333c2023-11-23T12:00:49ZengMDPI AGMathematics2227-73902022-05-011010167910.3390/math10101679Joint Optimization of Ticket Pricing Strategy and Train Stop Plan for High-Speed Railway: A Case StudyJin Qin0Xiqiong Li1Kang Yang2Guangming Xu3School of Traffic & Transportation Engineering, Central South University, Changsha 410075, ChinaSchool of Traffic & Transportation Engineering, Central South University, Changsha 410075, ChinaSchool of Traffic & Transportation Engineering, Central South University, Changsha 410075, ChinaSchool of Traffic & Transportation Engineering, Central South University, Changsha 410075, ChinaIn this study, we examined ticket pricing and train stop planning for the high-speed railway (HSR), which integrates two key aspects of railway operation and organization. We considered that passenger demand is sensitive to the generalized travel cost (depending on the ticket price and the travel time) and that the train stop plan can affect the travel time and passenger distribution. Then, a mixed-integer non-linear optimization model was proposed for the joint problem of ticket pricing and train stop planning to maximize HSR’s transport revenue and minimize passengers’ travel time. Based on the high similarity between combinatorial optimization problems and the solid annealing principle, we designed a combined simulated annealing (CSA) algorithm to solve practical problems. The results of a numerical example in the real HSR network showed that the proposed method can improve transport revenue by 5.1% and reduce passengers’ travel time loss by 11.15% without increasing transport capacity.https://www.mdpi.com/2227-7390/10/10/1679high-speed railwayticket pricingtrain stop planseat allocationjoint optimizationcombined simulated annealing algorithm |
| spellingShingle | Jin Qin Xiqiong Li Kang Yang Guangming Xu Joint Optimization of Ticket Pricing Strategy and Train Stop Plan for High-Speed Railway: A Case Study Mathematics high-speed railway ticket pricing train stop plan seat allocation joint optimization combined simulated annealing algorithm |
| title | Joint Optimization of Ticket Pricing Strategy and Train Stop Plan for High-Speed Railway: A Case Study |
| title_full | Joint Optimization of Ticket Pricing Strategy and Train Stop Plan for High-Speed Railway: A Case Study |
| title_fullStr | Joint Optimization of Ticket Pricing Strategy and Train Stop Plan for High-Speed Railway: A Case Study |
| title_full_unstemmed | Joint Optimization of Ticket Pricing Strategy and Train Stop Plan for High-Speed Railway: A Case Study |
| title_short | Joint Optimization of Ticket Pricing Strategy and Train Stop Plan for High-Speed Railway: A Case Study |
| title_sort | joint optimization of ticket pricing strategy and train stop plan for high speed railway a case study |
| topic | high-speed railway ticket pricing train stop plan seat allocation joint optimization combined simulated annealing algorithm |
| url | https://www.mdpi.com/2227-7390/10/10/1679 |
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