Next Article in Journal
Energy Vulnerability Composite Index in Social Housing, from a Household Energy Poverty Perspective
Previous Article in Journal
Evaluation of the Microbial Viability of Soil Samples from Maize Crops in Freeze-Storage under Different Management Conditions in a Semi-Arid Climate
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(5), 689;

The Impact of Beijing Subway’s New Fare Policy on Riders’ Attitude, Travel Pattern and Demand

MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
Saint Louis County Department of Transportation and Public Works, 1050 N. Lindbergh, St. Louis, MO 63132, USA
School of Architecture and Urban Planning, Beijing University of Civil Engineering and Achitecture, Beijing 100044, China
Author to whom correspondence should be addressed.
Academic Editor: Tan Yigitcanlar
Received: 19 December 2016 / Revised: 22 April 2017 / Accepted: 24 April 2017 / Published: 27 April 2017
(This article belongs to the Section Sustainable Urban and Rural Development)
Full-Text   |   PDF [3474 KB, uploaded 27 April 2017]   |  


On 28 December 2014, the Beijing subway’s fare policy was changed from “Two Yuan” per trip to the era of Logging Ticket Price, charging users by travel mileage. This paper aims at investigating the effects of Beijing subway’s new fare policy on the riders’ attitude, travel pattern and demand. A survey analysis was conducted to identify the effects of the new fare policy for Beijing subway on riders’ satisfaction degree and travel pattern associated with the potential influencing factors using Hierarchical Tree-based Regression (HTBR) models. The model results show that income, travel distance and month of travel have significant impacts on the subway riders’ satisfaction degree, while trip purpose, car ownership and travel frequency significantly influence the riders’ stated travel pattern. Overall, the degree of satisfaction could not be effectively recovered within five months after the new fare policy, but the negative public attitude did not depress the subway demand continuously. Based on the further time sequence analyses of the passenger flow volume data for two years, it is concluded that the new policy made the ridership decrease sharply in the first month but gradually came back to the previous level four months later, and then the passenger flow volume kept steady again. The findings in this study indicate that the new fare policy realized the purpose of lowering the government’s financial pressure but did not reduce the subway ridership in a long term perspective. View Full-Text
Keywords: Beijing subway; travel pattern; subway ridership; fare policy; HTBR model; time series analysis Beijing subway; travel pattern; subway ridership; fare policy; HTBR model; time series analysis

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Zhang, J.; Yan, X.; An, M.; Sun, L. The Impact of Beijing Subway’s New Fare Policy on Riders’ Attitude, Travel Pattern and Demand. Sustainability 2017, 9, 689.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top