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Article: Regulation, land-use mix, and urban performance. Part 1: Theory

TitleRegulation, land-use mix, and urban performance. Part 1: Theory
Authors
KeywordsCellular automata
Land use
Property rights
Theoretical study
Urban area
Issue Date1999
PublisherPion Ltd. The Journal's web site is located at http://www.envplan.com
Citation
Environment And Planning A, 1999, v. 31 n. 8, p. 1433-1442 How to Cite?
AbstractIn this paper we present the theoretical model underlying a series of experiments that use cellular automata (CA) simulations to explore the impact of alternative systems of pollution property rights on urban morphology and performance. It is a partial equilibrium model of developer and community behaviour which allows a formal expression of the urban development processes under alternative regulative regimes. These include pure markets; impure markets without government; voluntary agreements on externality solutions; clubs and other near-market mechanisms of supplying quasi-public goods; and rigid zone-planning. In a second paper we describe how the model is embedded in a nondeterministic CA algorithm that yields simulated land-use patterns. Because the simulations are based on behavioural theory rather than ad hoc cell-transitions rules, they also yield meaningful urban performance indicators such as total, average, and marginal private profits and social costs. These permit tests of conventional urban economic theory within an explicit spatial framework.
Persistent Identifierhttp://hdl.handle.net/10722/183436
ISSN
2015 Impact Factor: 1.46
2015 SCImago Journal Rankings: 1.460
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWebster, CJen_US
dc.contributor.authorWu, Fen_US
dc.date.accessioned2013-05-27T08:38:06Z-
dc.date.available2013-05-27T08:38:06Z-
dc.date.issued1999en_US
dc.identifier.citationEnvironment And Planning A, 1999, v. 31 n. 8, p. 1433-1442en_US
dc.identifier.issn0308-518Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/183436-
dc.description.abstractIn this paper we present the theoretical model underlying a series of experiments that use cellular automata (CA) simulations to explore the impact of alternative systems of pollution property rights on urban morphology and performance. It is a partial equilibrium model of developer and community behaviour which allows a formal expression of the urban development processes under alternative regulative regimes. These include pure markets; impure markets without government; voluntary agreements on externality solutions; clubs and other near-market mechanisms of supplying quasi-public goods; and rigid zone-planning. In a second paper we describe how the model is embedded in a nondeterministic CA algorithm that yields simulated land-use patterns. Because the simulations are based on behavioural theory rather than ad hoc cell-transitions rules, they also yield meaningful urban performance indicators such as total, average, and marginal private profits and social costs. These permit tests of conventional urban economic theory within an explicit spatial framework.en_US
dc.languageengen_US
dc.publisherPion Ltd. The Journal's web site is located at http://www.envplan.comen_US
dc.relation.ispartofEnvironment and Planning Aen_US
dc.subjectCellular automata-
dc.subjectLand use-
dc.subjectProperty rights-
dc.subjectTheoretical study-
dc.subjectUrban area-
dc.titleRegulation, land-use mix, and urban performance. Part 1: Theoryen_US
dc.typeArticleen_US
dc.identifier.emailWebster, CJ: cwebster@hku.hken_US
dc.identifier.authorityWebster, CJ=rp01747en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1068/a311433-
dc.identifier.scopuseid_2-s2.0-0032826219en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032826219&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume31en_US
dc.identifier.issue8en_US
dc.identifier.spage1433en_US
dc.identifier.epage1442en_US
dc.identifier.isiWOS:000082093900008-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridWebster, CJ=7201838784en_US
dc.identifier.scopusauthoridWu, F=7403463877en_US

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