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Article: Simulating urban expansion using a cloud-based cellular automata model: A case study of Jiangxia, Wuhan, China

TitleSimulating urban expansion using a cloud-based cellular automata model: A case study of Jiangxia, Wuhan, China
Authors
KeywordsCellular automata
Wuhan
Urban growth
Uncertainties
Cloud model
Issue Date2013
Citation
Landscape and Urban Planning, 2013, v. 110, n. 1, p. 99-112 How to Cite?
AbstractBecause of the complexity of urban systems, the dynamic process of urban expansion is filled with uncertainty. Although many studies have been done on cellular automata (CA)-based urban expansion models, the measurements of uncertainties and uncertainty propagation were commonly neglected when constructing CA models. The cloud model can express uncertainty and its propagation, and coherently integrates fuzziness and randomness as well as overcoming the limitations of fuzzy theory and the Monte Carlo method. A cloud-based CA (cloud-CA) model is presented in this paper to represent uncertainty propagation and show the dependence of simulation results on different degrees of uncertainty represented by hyper-entropy (He). We implemented the cloud-CA model and applied it on the simulation of the urban expansion in Jiangxia, Wuhan, China. After constructing the appropriate parameter settings for the cloud-CA model, a comparison of cloud-CA with the fuzzy-set-based CA (fuzzy-CA) model, and the hybrid CA model based on fuzzy set and the Monte Carlo method (FSMC-CA) was made by simulating spatial patterns of urban growth in Jiangxia from 2002 to 2007. The experiment indicated that the cloud-CA model has a better performance than the other two CA models, with higher kappa indices and figure of merit, proving the effectiveness of the cloud-CA model. © 2012.
Persistent Identifierhttp://hdl.handle.net/10722/207494
ISSN
2015 Impact Factor: 3.654
2015 SCImago Journal Rankings: 1.699

 

DC FieldValueLanguage
dc.contributor.authorWang, Haijun-
dc.contributor.authorHe, Sanwei-
dc.contributor.authorLiu, Xingjian-
dc.contributor.authorDai, Lan-
dc.contributor.authorPan, Peng-
dc.contributor.authorHong, Song-
dc.contributor.authorZhang, Wenting-
dc.date.accessioned2014-12-31T01:01:47Z-
dc.date.available2014-12-31T01:01:47Z-
dc.date.issued2013-
dc.identifier.citationLandscape and Urban Planning, 2013, v. 110, n. 1, p. 99-112-
dc.identifier.issn0169-2046-
dc.identifier.urihttp://hdl.handle.net/10722/207494-
dc.description.abstractBecause of the complexity of urban systems, the dynamic process of urban expansion is filled with uncertainty. Although many studies have been done on cellular automata (CA)-based urban expansion models, the measurements of uncertainties and uncertainty propagation were commonly neglected when constructing CA models. The cloud model can express uncertainty and its propagation, and coherently integrates fuzziness and randomness as well as overcoming the limitations of fuzzy theory and the Monte Carlo method. A cloud-based CA (cloud-CA) model is presented in this paper to represent uncertainty propagation and show the dependence of simulation results on different degrees of uncertainty represented by hyper-entropy (He). We implemented the cloud-CA model and applied it on the simulation of the urban expansion in Jiangxia, Wuhan, China. After constructing the appropriate parameter settings for the cloud-CA model, a comparison of cloud-CA with the fuzzy-set-based CA (fuzzy-CA) model, and the hybrid CA model based on fuzzy set and the Monte Carlo method (FSMC-CA) was made by simulating spatial patterns of urban growth in Jiangxia from 2002 to 2007. The experiment indicated that the cloud-CA model has a better performance than the other two CA models, with higher kappa indices and figure of merit, proving the effectiveness of the cloud-CA model. © 2012.-
dc.languageeng-
dc.relation.ispartofLandscape and Urban Planning-
dc.subjectCellular automata-
dc.subjectWuhan-
dc.subjectUrban growth-
dc.subjectUncertainties-
dc.subjectCloud model-
dc.titleSimulating urban expansion using a cloud-based cellular automata model: A case study of Jiangxia, Wuhan, China-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.landurbplan.2012.10.016-
dc.identifier.scopuseid_2-s2.0-84871731491-
dc.identifier.volume110-
dc.identifier.issue1-
dc.identifier.spage99-
dc.identifier.epage112-

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