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Article: Regional delineation of China based on commuting flows

TitleRegional delineation of China based on commuting flows
Authors
KeywordsNetwork
daily urban system
commuting region
megacity region
China
Issue Date2020
PublisherSage Publications Ltd. The Journal's web site is located at https://us.sagepub.com/en-us/nam/environment-and-planning-a/journal202436
Citation
Environment and Planning A, 2020, v. 52 n. 3, p. 478-482 How to Cite?
AbstractDelineating functional regions by association and connectivity has attracted much attention in urban and regional studies. Commuting ties reflect the social and economic interactions between places. However, most commuting studies are at the city level. A national-scale commuting map of China has not been drawn. This study employs computational and visual methods to model and visualize the commuting flows between county-level units. We use a dataset extracted from the 2015 One Percent Population Sample Survey of China provided by the National Bureau of Statistics. China can be algorithmically divided into new commuting regions based on the functional network of commuting flows. The results provide a valuable perspective to understand how people live, work and move across boundaries of administrative units in a daily urban system. Different administrative units in the same commuting region should have inter-jurisdictional cooperation to improve the efficiency of resource allocation and maximize the benefits of investments. We suggest that policy makers take commuting regions that cross administrative units into account when making regional transportation, trans-territorial infrastructure or investment decisions.
Persistent Identifierhttp://hdl.handle.net/10722/288325
ISSN
2021 Impact Factor: 3.790
2020 SCImago Journal Rankings: 1.740
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMU, X-
dc.contributor.authorYeh, AGO-
dc.date.accessioned2020-10-05T12:11:12Z-
dc.date.available2020-10-05T12:11:12Z-
dc.date.issued2020-
dc.identifier.citationEnvironment and Planning A, 2020, v. 52 n. 3, p. 478-482-
dc.identifier.issn0308-518X-
dc.identifier.urihttp://hdl.handle.net/10722/288325-
dc.description.abstractDelineating functional regions by association and connectivity has attracted much attention in urban and regional studies. Commuting ties reflect the social and economic interactions between places. However, most commuting studies are at the city level. A national-scale commuting map of China has not been drawn. This study employs computational and visual methods to model and visualize the commuting flows between county-level units. We use a dataset extracted from the 2015 One Percent Population Sample Survey of China provided by the National Bureau of Statistics. China can be algorithmically divided into new commuting regions based on the functional network of commuting flows. The results provide a valuable perspective to understand how people live, work and move across boundaries of administrative units in a daily urban system. Different administrative units in the same commuting region should have inter-jurisdictional cooperation to improve the efficiency of resource allocation and maximize the benefits of investments. We suggest that policy makers take commuting regions that cross administrative units into account when making regional transportation, trans-territorial infrastructure or investment decisions.-
dc.languageeng-
dc.publisherSage Publications Ltd. The Journal's web site is located at https://us.sagepub.com/en-us/nam/environment-and-planning-a/journal202436-
dc.relation.ispartofEnvironment and Planning A-
dc.rightsAuthor(s), Contribution Title, Journal Title (Journal Volume Number and Issue Number) pp. xx-xx. Copyright © [year] (Copyright Holder). DOI: [DOI number].-
dc.subjectNetwork-
dc.subjectdaily urban system-
dc.subjectcommuting region-
dc.subjectmegacity region-
dc.subjectChina-
dc.titleRegional delineation of China based on commuting flows-
dc.typeArticle-
dc.identifier.emailYeh, AGO: hdxugoy@hkucc.hku.hk-
dc.identifier.authorityYeh, AGO=rp01033-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1177/0308518X19873006-
dc.identifier.scopuseid_2-s2.0-85074249993-
dc.identifier.hkuros314978-
dc.identifier.volume52-
dc.identifier.issue3-
dc.identifier.spage478-
dc.identifier.epage482-
dc.identifier.isiWOS:000490191100001-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0308-518X-

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