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

dc.contributor.authorLiu, Liang
dc.contributor.authorHou, Anyang
dc.contributor.authorBiderman, Assaf
dc.contributor.authorRatti, Carlo
dc.contributor.authorChen, Jun
dc.date.accessioned2010-09-30T18:21:23Z
dc.date.available2010-09-30T18:21:23Z
dc.date.issued2009-11
dc.date.submitted2009-10
dc.identifier.isbn978-1-4244-5521-8
dc.identifier.otherINSPEC Accession Number: 10964901
dc.identifier.urihttp://hdl.handle.net/1721.1/58794
dc.description.abstractUnderstanding 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.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ITSC.2009.5309662en_US
dc.rightsArticle 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.en_US
dc.sourceIEEEen_US
dc.subjectanalytical methodologyen_US
dc.subjectcollective human mobility patternen_US
dc.subjectdecision supporten_US
dc.subjectsmart card dataen_US
dc.subjectsmart card recorden_US
dc.subjectspatial mobility patternen_US
dc.subjecttemporal mobility patternen_US
dc.subjecttransport managementen_US
dc.subjecttransport planningen_US
dc.subjecttravel behavior patternen_US
dc.subjecturban facilities managementen_US
dc.subjecturban service planningen_US
dc.subjectintelligent transportation system (ITS)en_US
dc.subjectmobility patternen_US
dc.subjectregularityen_US
dc.subjectvisualizationen_US
dc.subjectsmart carden_US
dc.titleUnderstanding individual and collective mobility patterns from smart card records: A case study in Shenzhenen_US
dc.typeArticleen_US
dc.identifier.citationLiang 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.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planningen_US
dc.contributor.departmentMassachusetts Institute of Technology. SENSEable City Laboratoryen_US
dc.contributor.approverRatti, Carlo
dc.contributor.mitauthorRatti, Carlo
dc.contributor.mitauthorLiu, Liang
dc.contributor.mitauthorHou, Anyang
dc.contributor.mitauthorBiderman, Assaf
dc.relation.journal12th International IEEE Conference on Intelligent Transportation Systems, 2009. ITSC '09en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsLiu, Liang; Hou, Anyang; Biderman, Assaf; Ratti, Carlo; Chen, Junen
dc.identifier.orcidhttps://orcid.org/0000-0003-2026-5631
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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