Collaborative Optimization of Dynamic Pricing and Seat Allocation for High-Speed Railways: An Empirical Study From China
| Autor: | Jin Qin, Xia Yang, Yijia Zeng, Wenxuan Qu, Xuanke Wu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
General Computer Science
Operations research Computer science collaborative optimization 02 engineering and technology Dynamic priority scheduling seat allocation revenue management (RM) High-speed railway (HSR) Order (exchange) 0502 economics and business Fixed price 0202 electrical engineering electronic engineering information engineering dynamic pricing Revenue General Materials Science Resource management Market share 050210 logistics & transportation Revenue management 05 social sciences General Engineering Service level Ticket Dynamic pricing 020201 artificial intelligence & image processing lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 7, Pp 139409-139419 (2019) |
| ISSN: | 2169-3536 |
| Popis: | In order to improve the high-speed trains’ service levels and increase their market shares, the Chinese high-speed railway (HSR) enterprise is reforming its ticket pricing strategy. A collaborative model that incorporates seat allocation decision into HSR dynamic pricing problem based on the revenue management theory is proposed, in which the objective is to maximize the total ticket revenue of enterprise under the constrains of price ceilings. A two-stage algorithm is developed to solve practical problems. The first stage solves the optimal price problem, and the second is to obtain the optimal seat allocation decisions. Finally, a case study based on the actual ticket data of Beijing-Shanghai HSR in China is implemented to show the effectiveness of the proposed approach, for which the results show that compared with the fixed price case, the revenue improvement ranges from 4.47% to 4.95% by using dynamic pricing strategy. Also, the case analysis shows that dynamic pricing strategy will lead to an increase in short-haul demands whereas a decrease in long-haul demands. |
| Databáze: | OpenAIRE |
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