Understanding individual and collective mobility patterns from smart card records: A case study in Shenzhen
Name
Liu-2009-Understanding individual and collective mobility patterns from smart card records A case study in Shenzhen.pdf
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1.83 MB
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Checksum (MD5)
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Author(s)
Liu, Liang
Hou, Anyang
Biderman, Assaf
Ratti, Carlo
Chen, Jun
Date Issued
November 2009
Journal
12th International IEEE Conference on Intelligent Transportation Systems, 2009. ITSC '09
Publisher
Institute of Electrical and Electronics Engineers
Citation
Liang Liu et al. “Understanding individual and collective mobility patterns from smart card records: A case study in Shenzhen.” Intelligent Transportation Systems, 2009. ITSC '09. 12th International IEEE Conference on. 2009. 1-6. © 2010 Institute of Electrical and Electronics Engineers.
Version
Final published version
Abstract
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, we study the mean collective spatial and temporal mobility patterns at large scales and reveal the regularity of these patterns. We 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.
Subjects
analytical methodology
collective human mobility pattern
decision support
smart card data
smart card record
spatial mobility pattern
temporal mobility pattern
transport management
transport planning
travel behavior pattern
urban facilities management
urban service planning
intelligent transportation system (ITS)
mobility pattern
regularity
visualization
smart card
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Massachusetts Institute of Technology. SENSEable City Laboratory
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ITSC.2009.5309662
