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Article: Modeling urban growth in a metropolitan area based on bidirectional flows, an improved gravitational field model, and partitioned cellular automata

TitleModeling urban growth in a metropolitan area based on bidirectional flows, an improved gravitational field model, and partitioned cellular automata
Authors
KeywordsUrban bidirectional flows
cellular automata model
gravitational field model
Yangtze River middle reaches megalopolis
partitioned conversion thresholds
Issue Date2019
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/13658816.asp
Citation
International Journal of Geographical Information Science, 2019, v. 33 n. 5, p. 877-899 How to Cite?
AbstractSimulating urban landscape dynamics in metropolitan areas has attracted much attention lately, but the difficulty remains. Although large-scale urban simulation studies consider spatial interaction as an important factor, spatial interaction cannot be accurately measured based on a single element flow, and its effects may not strictly follow a distance decay function. Furthermore, different cities may require different transition rules. In this study, we combined bidirectional flows of population and information and an improved gravitational field model to model the urban spatial interaction, and we then integrated a partitioned cellular automata (CA) model to simulate the urban growth for different cities in the Yangtze River middle reaches megalopolis. It was found that the simulation results generated by the CA model considering spatial interaction are significantly improved. Furthermore, partitioned conversion thresholds can effectively improve the model performance. The proposed model showed a much better performance in the simulation of subordinate cities surrounding the core cities, than for the core cities and fringe cities. We suggest that large-scale urban simulation should pay more attention to the development of partitioned transition rules. The effects of intercity urban flows should also be considered in the simulation of small- and medium-sized cities near the regional cores.
Persistent Identifierhttp://hdl.handle.net/10722/278988
ISSN
2019 Impact Factor: 3.733
2015 SCImago Journal Rankings: 1.156

 

DC FieldValueLanguage
dc.contributor.authorXIA, C-
dc.contributor.authorZHANG, A-
dc.contributor.authorWang, H-
dc.contributor.authorZhang, B-
dc.date.accessioned2019-10-21T02:17:34Z-
dc.date.available2019-10-21T02:17:34Z-
dc.date.issued2019-
dc.identifier.citationInternational Journal of Geographical Information Science, 2019, v. 33 n. 5, p. 877-899-
dc.identifier.issn1365-8816-
dc.identifier.urihttp://hdl.handle.net/10722/278988-
dc.description.abstractSimulating urban landscape dynamics in metropolitan areas has attracted much attention lately, but the difficulty remains. Although large-scale urban simulation studies consider spatial interaction as an important factor, spatial interaction cannot be accurately measured based on a single element flow, and its effects may not strictly follow a distance decay function. Furthermore, different cities may require different transition rules. In this study, we combined bidirectional flows of population and information and an improved gravitational field model to model the urban spatial interaction, and we then integrated a partitioned cellular automata (CA) model to simulate the urban growth for different cities in the Yangtze River middle reaches megalopolis. It was found that the simulation results generated by the CA model considering spatial interaction are significantly improved. Furthermore, partitioned conversion thresholds can effectively improve the model performance. The proposed model showed a much better performance in the simulation of subordinate cities surrounding the core cities, than for the core cities and fringe cities. We suggest that large-scale urban simulation should pay more attention to the development of partitioned transition rules. The effects of intercity urban flows should also be considered in the simulation of small- and medium-sized cities near the regional cores.-
dc.languageeng-
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/13658816.asp-
dc.relation.ispartofInternational Journal of Geographical Information Science-
dc.rightsAOM/Preprint Before Accepted: his article has been accepted for publication in [JOURNAL TITLE], published by Taylor & Francis. AOM/Preprint After Accepted: This is an [original manuscript / preprint] of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI]. Accepted Manuscript (AM) i.e. Postprint This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI].-
dc.subjectUrban bidirectional flows-
dc.subjectcellular automata model-
dc.subjectgravitational field model-
dc.subjectYangtze River middle reaches megalopolis-
dc.subjectpartitioned conversion thresholds-
dc.titleModeling urban growth in a metropolitan area based on bidirectional flows, an improved gravitational field model, and partitioned cellular automata-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/13658816.2018.1562067-
dc.identifier.scopuseid_2-s2.0-85059915995-
dc.identifier.hkuros307863-
dc.identifier.volume33-
dc.identifier.issue5-
dc.identifier.spage877-
dc.identifier.epage899-
dc.publisher.placeUnited Kingdom-

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