Understanding individual and collective mobility patterns from smart card records: A case study in Shenzhen

Understanding the dynamics of the inhabitants' daily mobility patterns is essential for the planning and management of urban facilities and services. In this paper, novel aspects of human mobility patterns are investigated by means of smart card data. Using extensive smart card records resolved in both time and space, the authors study the mean collective spatial and temporal mobility patterns at large scales and reveal the regularity of these patterns. The authors also investigate patterns of travel behavior at the individual level and show that the concentricity and regularity of mobility patterns. The analytical methodologies to spatially and temporally quantify, visualize, and examine urban mobility patterns developed in this paper could provide decision support for transport planning and management.

• Record URL:
  https://doi.org/10.1109/ITSC.2009.5309662
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5305882
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Liu, Liang
  • Hou, A
  • Biderman, A
  • Ratti, C
  • Chen, Jun
• Conference:
  • 12th International IEEE Conference on Intelligent Transportation Systems (ITSC 2009)
  • Location: St. Louis Missouri, United States
  • Date: 2009-10-4 to 2009-10-7
• Publication Date: 2009-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 6p
• Monograph Title: 12th International IEEE Conference on Intelligent Transportation Systems (ITSC 2009)

Subject/Index Terms

• TRT Terms: Decision support systems; Mobility; Smart cards; Transportation planning; Travel behavior; Urban areas
• Geographic Terms: Shenzhen (China)
• Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01574497
• Record Type: Publication
• ISBN: 9781424455195
• Files: TRIS
• Created Date: Aug 14 2015 6:09PM