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

Author(s)
Liu, Liang; Hou, Anyang; Biderman, Assaf; Ratti, Carlo; Chen, Jun
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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.
Date issued
2009-11
URI
http://hdl.handle.net/1721.1/58794
Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning; Massachusetts Institute of Technology. SENSEable City Laboratory
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
Other identifiers
INSPEC Accession Number: 10964901
ISBN
978-1-4244-5521-8
Keywords
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

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