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Article: Big data for intrametropolitan human movement studies

TitleBig data for intrametropolitan human movement studies
Authors
KeywordsBig data
Bus
Human movement
Intra-metropolitan
Issue Date2017
Citation
International Review for Spatial Planning and Sustainable Development, 2017, v. 5, p. 100-115 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/262071
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhou, J-
dc.contributor.authorWang, M-
dc.contributor.authorLong, Y-
dc.date.accessioned2018-09-28T04:52:52Z-
dc.date.available2018-09-28T04:52:52Z-
dc.date.issued2017-
dc.identifier.citationInternational Review for Spatial Planning and Sustainable Development, 2017, v. 5, p. 100-115-
dc.identifier.urihttp://hdl.handle.net/10722/262071-
dc.languageeng-
dc.relation.ispartofInternational Review for Spatial Planning and Sustainable Development-
dc.subjectBig data-
dc.subjectBus-
dc.subjectHuman movement-
dc.subjectIntra-metropolitan-
dc.titleBig data for intrametropolitan human movement studies-
dc.typeArticle-
dc.identifier.emailZhou, J: zhoujp@hku.hk-
dc.identifier.authorityZhou, J=rp02236-
dc.identifier.doi10.14246/irspsd.5.3_100-
dc.identifier.scopuseid_2-s2.0-85023644333-
dc.identifier.hkuros292902-
dc.identifier.volume5-
dc.identifier.spage100-
dc.identifier.epage115-
dc.identifier.eissn2187-3666-
dc.identifier.isiWOS:000417867700008-
dc.identifier.issnl2187-3666-

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