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Using fuzzy cellular automata to access and simulate urban growth

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dc.contributor.author Mantelas, L en
dc.contributor.author Prastacos, P en
dc.contributor.author Hatzichristos, T en
dc.contributor.author Koutsopoulos, K en
dc.date.accessioned 2014-03-01T02:14:53Z
dc.date.available 2014-03-01T02:14:53Z
dc.date.issued 2012 en
dc.identifier.issn 03432521 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30163
dc.subject Cellular automata en
dc.subject Fuzzy inference en
dc.subject Mesogia Athens en
dc.subject Sensitive sum operator en
dc.subject Urban growth en
dc.subject.other Athens , Greece en
dc.subject.other Data-driven en
dc.subject.other Fuzzy algebra en
dc.subject.other Fuzzy cellular automata en
dc.subject.other Fuzzy operators en
dc.subject.other Knowledge base en
dc.subject.other Mesogia Athens en
dc.subject.other Methodological frameworks en
dc.subject.other Parallel connections en
dc.subject.other Sensitive sum operator en
dc.subject.other Urban growth en
dc.subject.other Urban land cover en
dc.subject.other Cellular automata en
dc.subject.other Dynamics en
dc.subject.other Electric connectors en
dc.subject.other Fuzzy inference en
dc.subject.other Fuzzy logic en
dc.subject.other Knowledge based systems en
dc.subject.other Automata theory en
dc.subject.other data set en
dc.subject.other empirical analysis en
dc.subject.other fuzzy mathematics en
dc.subject.other numerical model en
dc.subject.other urban development en
dc.subject.other urban growth en
dc.subject.other Athens [Attica] en
dc.subject.other Attica en
dc.subject.other Greece en
dc.title Using fuzzy cellular automata to access and simulate urban growth en
heal.type journalArticle en
heal.identifier.primary 10.1007/s10708-010-9372-8 en
heal.identifier.secondary http://dx.doi.org/10.1007/s10708-010-9372-8 en
heal.publicationDate 2012 en
heal.abstract In this paper we present a methodological framework designed to access urban growth dynamics and simulate urban growth. To do so, it utilizes the descriptive power of Fuzzy Logic and Fuzzy Algebra to map the effects of various parameters to the urban growth phenomenon and express them in comprehensible terms. Sensitive Sum, a new fuzzy operator is proposed to employ a parallel connection between the effects of separate variables while taking into account the (statistical) correlation between them. As a result, the model implements a reducible/extensible form of Knowledge Base which can include both data-driven and empirical rules and does not require certain variables/data to run. In order to simulate urban growth Cellular Automata techniques are incorporated that are enhanced by pseudo-agent behavior. The proposed model is applied in the broader Mesogia area in east Attica (Athens, Greece) for the period 2000-2007 during which urban land cover grew by 66% and appears to capture the urban growth dynamics occurred in a satisfactory way. © 2010 Springer Science+Business Media B.V. en
heal.journalName GeoJournal en
dc.identifier.doi 10.1007/s10708-010-9372-8 en
dc.identifier.volume 77 en
dc.identifier.issue 1 en
dc.identifier.spage 13 en
dc.identifier.epage 28 en


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