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Urban Simulation Model

Urban simulation models reproduce the dynamics of urban growth and land-use change by simulating, over time, the decisions of agents — households, firms, developers — or the transitions of cells on a grid. They span agent-based models, cellular automata such as SLEUTH, and microsimulation platforms such as Paul Waddell's UrbanSim, which represents individual households and jobs choosing locations through discrete-choice models linked to a transport network. Rather than predicting a single equilibrium, these models let many local rules and choices interact and feed back through prices and accessibility, generating emergent patterns of sprawl, densification, and redevelopment under alternative policies.

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Urban Simulation Model (Agent-Based, Cellular-Automata, and Microsimulation of Urban Development)

Dossier de méthode taxonomique · process-pipeline / urban-studies

Waddell, P. (2002). UrbanSim: Modeling urban development for land use, transportation, and environmental planning. Journal of the American Planning Association, 68(3), 297–314. · DOI 10.1080/01944360208976274

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Méthodes apparentées

Généré à partir du graphe de méthodes et présenté comme des relations suggérées par la machine — aucune revendication de preuve n'est déduite.

Same method familyLand-Use Change Modelingmachine-suggested · Relational suggestion, not evidence.Same method familyLowry Land-Use Transport Modelmachine-suggested · Relational suggestion, not evidence.Same method familyMarkov Land-Use Modelmachine-suggested · Relational suggestion, not evidence.Same method familyUrban Growth Boundary Analysismachine-suggested · Relational suggestion, not evidence.