Paper The following article is Open access

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

and

Published under licence by IOP Publishing Ltd
, , Citation Guangsheng Zhu and Yu Zhao 2020 IOP Conf. Ser.: Mater. Sci. Eng. 768 052017 DOI 10.1088/1757-899X/768/5/052017

1757-899X/768/5/052017

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.

Export citation and abstract BibTeX RIS

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Please wait… references are loading.
10.1088/1757-899X/768/5/052017