Research on High-speed Railway Fare Optimization based on Change of Passenger Flow

DOI

10.2991/icmeit-19.2019.41How to use a DOI?

Keywords

fare optimization; passenger flow; Baoji-Lanzhou high-speed railway.

Abstract

In recent years, high-speed railway has gradually become an indispensable choice for people to travel. This paper studies high-speed railway fares to increase the benefits of high-speed rail and achieve long-term sustainable development of the railway sector. According to the characteristics of demand, the passenger flow is divided into different periods, with each passenger flow interval as the price adjustment time, and the train income as the objective function to determine the fare of each passenger transport product at each price adjustment time. Taking Baoji-Lanzhou High Speed Railway as an example, the study shows that the train attendance rate is increased by 16.2% and the revenue is increased by 5.8% compared with the original price strategy.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jie Zhang
AU  - Xiangfei Yang
AU  - Gu Du
PY  - 2019/04
DA  - 2019/04
TI  - Research on High-speed Railway Fare Optimization based on Change of Passenger Flow
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 238
EP  - 242
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.41
DO  - 10.2991/icmeit-19.2019.41
ID  - Zhang2019/04
ER  -