Research on the Joint Decision Model of High-speed Railway Dynamic pricing and Ticket allocation

Author:

Zhu Guangsheng,Zhao Yu

Abstract

Abstract In response to the problems such as failure to improve revenue with current static and fixed prices of the same OD in high-speed railways, according to the theory of revenue management, based on the passenger flow given by the railway, on the basis of basic ticket allocation model, the high-speed train ticket pre-sale period is divided into several pre-sale phases, with the revenue of high-speed railway maximization as the goal, building the joint decision model of high-speed railway dynamic pricing and ticket allocation. The model is verified by an example, and the results of the model proposed in this paper are compared with those of the basic ticket allocation model. The results show that the model proposed in this paper can not only improve the revenue and seat occupancy rate, but also provide passengers with highspeed railway passenger transport products at different prices.

Publisher

IOP Publishing

Subject

General Medicine

Reference9 articles.

1. Research on Comprehensive Optimization of Dynamic Pricing and Seat Allocation for High-speed Single Train [J];Song;Journal of the China Railway Society,2018

2. A mathematical programming approach for the solution of the railway yield management problem [J];Ciancimino;TRANSPORTATION SCIENCE,1999

3. Optimal Dynamic Pricing of Railway Line Based on Passengers’ Reservation Price [J];Shi;Application Research of Computers,2014

4. Revenue Management Model for High-Speed Passenger Railway [J];Lan;Chinese Journal of Management Science,2009

5. Seat Allotment Method for Single Train Based on Stochastic Demand [J];Bao;China Railway Science,2015

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