Analysis of Rail Transit Passenger Flow in Nanjing

Using data collected from the automatic fare collection (AFC) systems of the Nanjing rail network on weekdays during one week, this paper researches the characteristics of Nanjing passenger flow, including: 1) travel peak time distribution over the whole network; 2) passenger travel time, travel distance, inferred distribution of transfer times on the whole network; 3) daily inbound and outbound passenger volume, and peak hour passenger volume; and 4) stations that suffer from maximum passenger flow pressure in whole day and in peak hours for each line, and distribution characteristics of hourly passenger volumes at typical stations. The authors expect that studying the passenger flow characteristics on Nanjing rail network, in lines, and at stations, can provide a theoretical foundation for the determination of key parameters values for railway transit passenger flow forecasting and the reasonable justification for forecasting results.

• Record URL:
  • https://doi.org/10.1061/9780784481523.120
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784481523
• Supplemental Notes:
  • © 2018 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhao, Xing
  • Ji, Kang
  • Chen, Ji-huai
  • Ren, Gang
• Conference:
  • 18th COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2018-7-5 to 2018-7-8
• Publication Date: 2018-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1202-1211
• Monograph Title: CICTP 2018: Intelligence, Connectivity, and Mobility

Subject/Index Terms

• TRT Terms: Passenger traffic; Peak hour traffic; Rail transit; Traffic flow; Traffic forecasting; Travel time
• Geographic Terms: Nanjing (China)
• Subject Areas: Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01868691
• Record Type: Publication
• ISBN: 9780784481523
• Files: TRIS, ASCE
• Created Date: Dec 27 2022 2:41PM