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Article: Quantifying and visualizing jobs-housing balance with big data: A case study of Shanghai

TitleQuantifying and visualizing jobs-housing balance with big data: A case study of Shanghai
Authors
KeywordsCellular network data
Excess commuting
Jobs-housing balance
Visualization
Issue Date2017
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/cities
Citation
Cities, 2017, v. 66, p. 10-22 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/245904
ISSN
2021 Impact Factor: 6.077
2020 SCImago Journal Rankings: 1.771
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, P-
dc.contributor.authorZhou, J-
dc.contributor.authorZhang, T-
dc.date.accessioned2017-09-18T02:18:56Z-
dc.date.available2017-09-18T02:18:56Z-
dc.date.issued2017-
dc.identifier.citationCities, 2017, v. 66, p. 10-22-
dc.identifier.issn0264-2751-
dc.identifier.urihttp://hdl.handle.net/10722/245904-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/cities-
dc.relation.ispartofCities-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCellular network data-
dc.subjectExcess commuting-
dc.subjectJobs-housing balance-
dc.subjectVisualization-
dc.titleQuantifying and visualizing jobs-housing balance with big data: A case study of Shanghai-
dc.typeArticle-
dc.identifier.emailZhou, J: zhoujp@hku.hk-
dc.identifier.authorityZhou, J=rp02236-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.cities.2017.03.004-
dc.identifier.scopuseid_2-s2.0-85015377392-
dc.identifier.hkuros278135-
dc.identifier.volume66-
dc.identifier.spage10-
dc.identifier.epage22-
dc.identifier.isiWOS:000403129000002-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0264-2751-

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