Big Data Analysis of Beijing Urban Rail Transit Fares Based on Passenger Flow

Honghu Gao,Shifeng Liu,Guangmei Cao,Jianhai Zhang,Peng Zhang,Pengfei Zhao

doi:10.1109/access.2020.2991069

Abstract

This paper proposed improved measures for the shortest path fare scheme of urban rail transit. Firstly, this paper simulated Beijing rail transit by using Anylogic simulation technology and shortest path algorithm. Then, in order to find the travel time between any originations and destinations, this research measured the inbound time, waiting time, interval time, section running time, transfer time and outbound time. In addition, this paper used big data analysis technology to obtain the actual travel time distribution between any originations and destinations by processing the basic data of passengers entering and leaving the station. Finally, by comparing the valid path travel time calculated by any originations and destinations with the actual travel time distribution of passengers, the path taken by majority of passengers was pushed back to determine the ticket price based on the mileage of the path taken by the majority of passengers. The results reduced the dependence on government subsidies by rail transit operation and made up for the operation and maintenance costs.

Highlights

Rail transit operators are not actively controlling rail transit operating and maintenance costs due to huge government subsidies
While social benefits are the primary task of urban rail transit, urban rail transit operators should have a certain degree of self-sufficiency to maximize the use of public resources and ensure the sustainable and effective operation of public resources [1]
Some lines of Beijing rail transit are simulated to calculate the shortest path between any originations and destinations and the travel time of their valid paths

Summary

INTRODUCTION

Rail transit operators are not actively controlling rail transit operating and maintenance costs due to huge government subsidies. Compared with the established fares, the rail transit fares made by the method of this article may be increased to a certain extent between some O-D stations, but the fare increasing should not be too high This method of fare setting can provide the maximum convenience for the public to travel, and increase the income of rail transit operators, reducing the financial subsidies of the government. This method can reduce the passenger flow during peak periods to some extent

LITERATURE REVIEW

FARE STRATEGY OF URBAN RAIL TRANSIT

Findings

CONCLUSION