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dc.contributor.authorOdell, Harry
dc.contributor.authorNavarro Lopez, Eva
dc.contributor.authorPinto, Nuno
dc.contributor.authorDeas, Iain
dc.date.accessioned2021-11-17T12:29:40Z
dc.date.available2021-11-17T12:29:40Z
dc.date.issued2022-06-30
dc.identifier.citationOdell, H., Navarro Lopez, E., Pinto, N. and Deas, I. (in press) Detecting shifts in metropolitan structure: a spatial network perspective. Environment and Planning B: Urban Analytics and City Science.en
dc.identifier.issn2399-8083en
dc.identifier.urihttp://hdl.handle.net/2436/624445
dc.descriptionThis is an accepted manuscript of an article published by SAGE in Environment and Planning B: Urban Analytics and City Science (in press). The accepted version of the publication may differ from the final published version.en
dc.description.abstractThe spatial distribution of metropolitan areas creates a complex system of competing and cooperating economic units. Understanding the size, scale and functional structure of such systems is an important topic in regional science. This paper uses commuter flow data over a forty year period to analyse the changing structure of the Greater Manchester metropolitan area. We apply a combination of complex network analysis, residual network analysis and spatial network visualisation to detect Greater Manchester’s polycentric structure and identify intra-regional communities. This method is able to identify economic geographies in a highly complex and interdependent commuter network. We comment on the role of administrative boundaries in shaping metropolitan regions and discuss the potential of our work to inform debates on regional governance geographies and local government planning practices.en
dc.formatapplication/pdfen
dc.languageEnglish
dc.language.isoenen
dc.publisherSAGEen
dc.relation.urlhttps://us.sagepub.com/en-us/nam/environment-and-planning-b-urban-analytics-and-city-science/journal203385#aims-and-scopeen
dc.subjectGreater Manchesteren
dc.subjectmetropolitan areasen
dc.subjectcommunity detectionen
dc.subjectnetwork analysisen
dc.subjectresidual networksen
dc.titleDetecting shifts in metropolitan structure: a spatial network perspectiveen
dc.typeJournal articleen
dc.identifier.journalEnvironment and Planning B: Urban Analytics and City Scienceen
dc.date.updated2021-11-15T11:45:57Z
dc.date.accepted2021-11-03
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW17112021ENLen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2022-06-30en
refterms.dateFCD2021-11-17T12:22:58Z
refterms.versionFCDAM
refterms.dateFOA2021-11-17T00:00:00Z


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