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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Sources
- 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 ↗
How to cite this page
ScholarGate. (2026, June 22). Urban Simulation Model (Agent-Based, Cellular-Automata, and Microsimulation of Urban Development). ScholarGate. https://scholargate.app/en/urban-studies/urban-simulation-model
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- Land-Use Change ModelingHuman Geography↔ compare
- Lowry Land-Use Transport ModelHuman Geography↔ compare
- Markov Land-Use ModelHuman Geography↔ compare
- Urban Growth Boundary AnalysisUrban Studies↔ compare