Temporal Distribution Analysis of Beijing’s Subway Ridership
Similar to other metropolitan cities in China, urban rail transportation has been highly emphasized in Beijing in the past decades. However, the growing subway system is seriously challenged by several critical issues, one of which is that the ridership must be restricted at certain stations during peak hours due to crowded conditions. This suppresses the transport demand and pushes passengers to other modes of transport. Therefore, the characteristics of subway ridership should be carefully studied to increase the appeal of subways and maximize their potential. This paper categorizes Beijing subway ridership characteristics into seven different groups based on their temporal distributions and corresponding land use types by analyzing Beijing’s subway smart card data. In addition, the heterogeneity among stop-level, line-level, and network-level ridership temporal distributions is analyzed. Temporal distribution characteristics should be incorporated into ridership prediction and subway network optimization, and can thereby improve subway demand forecasting, planning, and design.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784479896
-
Supplemental Notes:
- © 2016 American Society of Civil Engineers.
-
Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Liu, Jianfeng
- Ma, Xiaolei
- Liu, Congcong
- Wang, Yinhai
- Wang, Jing
-
Conference:
- 16th COTA International Conference of Transportation Professionals
- Location: Shanghai , China
- Date: 2016-6-6 to 2016-6-9
- Publication Date: 2016
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 637-647
- Monograph Title: CICTP 2016: Green and Multimodal Transportation and Logistics
Subject/Index Terms
- TRT Terms: Rail transit; Ridership; Subways; Urban transit
- Uncontrolled Terms: Temporal distribution
- Geographic Terms: Beijing (China)
- Subject Areas: Passenger Transportation; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01606768
- Record Type: Publication
- ISBN: 9780784479896
- Files: TRIS, ASCE
- Created Date: Jul 28 2016 10:48AM