Optimization of ticket pricing for high-speed railway considering full competitive environment
The rapid development of high-speed railways (HSR) worldwide has provided a fast, convenient, safe, and comfortable mode of transportation. It is also an important public transportation tool for green travel, contributing to the reduction of carbon emissions. HSR has a strong competitive advantage i...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2024-10-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/00202940241237924 |
| _version_ | 1827108637932257280 |
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| author | Ziqiang Hu Yuguang Wei Yan Xu Huaixiang Wang Yunhan Li Yang Xia |
| author_facet | Ziqiang Hu Yuguang Wei Yan Xu Huaixiang Wang Yunhan Li Yang Xia |
| author_sort | Ziqiang Hu |
| collection | DOAJ |
| description | The rapid development of high-speed railways (HSR) worldwide has provided a fast, convenient, safe, and comfortable mode of transportation. It is also an important public transportation tool for green travel, contributing to the reduction of carbon emissions. HSR has a strong competitive advantage in long-distance passenger transportation, but it faces significant competition from the aviation industry. Airlines attract passengers with discounted fares and differentiated pricing strategies, apart from shorter travel times. Therefore, it is necessary for railway enterprises to enhance their competitiveness through differentiated pricing methods for HSR. In this study, we focus on optimizing a long-distance origin-destination (OD) pair and creating a competitive market environment by considering all operating trains and flights for the selected OD pair. We aim to improve the realism of the study by considering passengers’ fully rational travel choice behavior. To reduce the complexity of variables, passengers are grouped based on their expected departure time and income level. A mixed integer linear programing model is developed to address the problem, aiming to minimize overall travel costs for passengers while ensuring that the income of the railway enterprise does not fall below a specified value. By setting this specific value, the maximum revenue of HSR train tickets can be obtained. |
| first_indexed | 2025-03-20T10:29:41Z |
| format | Article |
| id | doaj.art-b1fa781a23e84ed8b4d1779a74b51d3a |
| institution | Directory Open Access Journal |
| issn | 0020-2940 |
| language | English |
| last_indexed | 2025-03-20T10:29:41Z |
| publishDate | 2024-10-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Measurement + Control |
| spelling | doaj.art-b1fa781a23e84ed8b4d1779a74b51d3a2024-09-23T07:03:58ZengSAGE PublishingMeasurement + Control0020-29402024-10-015710.1177/00202940241237924Optimization of ticket pricing for high-speed railway considering full competitive environmentZiqiang Hu0Yuguang Wei1Yan Xu2Huaixiang Wang3Yunhan Li4Yang Xia5School of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaPassenger Transportation Department, China State Railway Group Corporation Limited, Beijing, ChinaTransportation and Economics Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, ChinaDepartment of Urban Transportation and Modern Logistics, Transport Planning and Research Institute, Ministry of Transport, Beijing, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaThe rapid development of high-speed railways (HSR) worldwide has provided a fast, convenient, safe, and comfortable mode of transportation. It is also an important public transportation tool for green travel, contributing to the reduction of carbon emissions. HSR has a strong competitive advantage in long-distance passenger transportation, but it faces significant competition from the aviation industry. Airlines attract passengers with discounted fares and differentiated pricing strategies, apart from shorter travel times. Therefore, it is necessary for railway enterprises to enhance their competitiveness through differentiated pricing methods for HSR. In this study, we focus on optimizing a long-distance origin-destination (OD) pair and creating a competitive market environment by considering all operating trains and flights for the selected OD pair. We aim to improve the realism of the study by considering passengers’ fully rational travel choice behavior. To reduce the complexity of variables, passengers are grouped based on their expected departure time and income level. A mixed integer linear programing model is developed to address the problem, aiming to minimize overall travel costs for passengers while ensuring that the income of the railway enterprise does not fall below a specified value. By setting this specific value, the maximum revenue of HSR train tickets can be obtained.https://doi.org/10.1177/00202940241237924 |
| spellingShingle | Ziqiang Hu Yuguang Wei Yan Xu Huaixiang Wang Yunhan Li Yang Xia Optimization of ticket pricing for high-speed railway considering full competitive environment Measurement + Control |
| title | Optimization of ticket pricing for high-speed railway considering full competitive environment |
| title_full | Optimization of ticket pricing for high-speed railway considering full competitive environment |
| title_fullStr | Optimization of ticket pricing for high-speed railway considering full competitive environment |
| title_full_unstemmed | Optimization of ticket pricing for high-speed railway considering full competitive environment |
| title_short | Optimization of ticket pricing for high-speed railway considering full competitive environment |
| title_sort | optimization of ticket pricing for high speed railway considering full competitive environment |
| url | https://doi.org/10.1177/00202940241237924 |
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