Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/78569
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorChen, BYen_US
dc.creatorWang, YFen_US
dc.creatorWang, DGen_US
dc.creatorLi, QQen_US
dc.creatorLam, WHKen_US
dc.creatorShaw, SLen_US
dc.date.accessioned2018-09-28T01:16:57Z-
dc.date.available2018-09-28T01:16:57Z-
dc.identifier.issn2469-4452en_US
dc.identifier.urihttp://hdl.handle.net/10397/78569-
dc.language.isoenen_US
dc.publisherRoutledge, Taylor & Francis Groupen_US
dc.rights©2018 Bi Yu Chen, Yafei Wang, Donggen Wang, Qingquan Li, William H. K. Lam, and Shih-Lung Shaw. Published with license by Taylor & Francis.This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, andis not altered, transformed, orbuilt upon in any way.en_US
dc.rightsThe following publication Bi Yu Chen, Yafei Wang, Donggen Wang, Qingquan Li, William H. K. Lam& Shih-Lung Shaw (2018) Understanding the Impacts of Human Mobility on Accessibility UsingMassive Mobile Phone Tracking Data, Annals of the American Association of Geographers, 108:4,1115-1133 is available at https://dx.doi.org/10.1080/24694452.2017.1411244en_US
dc.subjectAccessibilityen_US
dc.subjectActivity spacesen_US
dc.subjectHuman mobilityen_US
dc.subjectSpatiotemporal big dataen_US
dc.subjectTime geographyen_US
dc.titleUnderstanding the impacts of human mobility on accessibility using massive mobile phone tracking dataen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1115en_US
dc.identifier.epage1133en_US
dc.identifier.volume108en_US
dc.identifier.issue4en_US
dc.identifier.doi10.1080/24694452.2017.1411244en_US
dcterms.abstractMany existing accessibility studies ignore human mobility due to the lack of large-scale human mobility data. This study investigates the impacts of human mobility on accessibility using massive mobile phone tracking data collected in Shenzhen, China. In this study, human mobility information is extracted from mobile phone tracking data using a time-geographic approach. The accessibility of each phone user is evaluated using fine spatial resolution across the entire city. The impacts of human mobility on accessibility are quantified by using relative accessibility ratios between phone users and a virtual stationary user in the same residential location. Results of this study enrich understandings of how land use influences relationships between human mobility and accessibility. For resource-poor regions with sparse service facilities, human mobility can greatly enhance individual accessibility. In contrast, for resource-rich regions with dense service facilities, human mobility can even reduce individual accessibility. Overall, human mobility can reduce spatial inequity of accessibility for people living in different regions of the city. The results of this study also have several important methodological implications for including human mobility and time dimension in accessibility evaluations.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAnnals of the American Association of Geographers, 2018, v. 108, no. 4, p. 1115-1133en_US
dcterms.isPartOfAnnals of the American Association of Geographersen_US
dcterms.issued2018-
dc.identifier.isiWOS:000434437400013-
dc.identifier.eissn2469-4460en_US
dc.description.validate201809 bcrcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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