The use of constrained cellular automata for high-resolution modelling of urban land-use dynamics
AbstractA cellular automaton is specified to give a spatially detailed represenation of the evolution of urban land-use patterns. Cell states represent land uses, and transition rules express the likelihood of a change from one state to another as a function both of existing land use in the 113-cell neighbourhood of the cell and of the inherent suitability of the cell for each possible use. The model is used to simulate the land-use pattern of Cincinnati, Ohio. The simulation results are realistic and sensitivity analysis shows that the predictions of the model are relatively accurate and reproducible, thus suggesting that cellular automata - based models may be useful in a planning context.
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Bibliographic InfoArticle provided by Pion Ltd, London in its journal Environment and Planning B: Planning and Design.
Volume (Year): 24 (1997)
Issue (Month): 3 (May)
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Web page: http://www.pion.co.uk
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- Dagmar Haase, 2005. "Derivation of robust predictor variables for modelling urban shrinkage and its effects at different scales," ERSA conference papers ersa05p322, European Regional Science Association.
- Barry Boots & Ferko Csillag, 2006. "Categorical maps, comparisons, and confidence," Journal of Geographical Systems, Springer, vol. 8(2), pages 109-118, July.
- Apostolos Lagarias, 2013. "Dynamics of Urban Sprawl: Applying a CA-based Model to Explore Future Development Scenarios in Thessaloniki," ERSA conference papers ersa13p304, European Regional Science Association.
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