Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns
AbstractCellular automata belong to a family of discrete, connectionist techniques being used to investigate fundamental principles of dynamics, evolution, and self-organization. In this paper, a cellular automaton is developed to model the spatial structure of urban land use over time. For realistic parameter values, the model produces fractal or bifractal land-use structures for the urbanized area and for each individual land-use type. Data for a set of US cities show that they have very similar fractal dimensions. The cellular approach makes it possible to achieve a high level of spatial detail and realism and to link the results directly to general theories of structural evolution.
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Bibliographic InfoArticle provided by Pion Ltd, London in its journal Environment and Planning A.
Volume (Year): 25 (1993)
Issue (Month): 8 (August)
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Web page: http://www.pion.co.uk
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- Jose I. Barredo & Carlo Lavalle & Valentina Sagris & Guy Engelen, 2005. "Representing future urban and regional scenarios for flood hazard mitigation," ERSA conference papers ersa05p147, European Regional Science Association.
- Isabelle Thomas & Pierre Frankhauser & Dominique Badariotti, 2012. "Comparing the fractality of European urban neighbourhoods: do national contexts matter?," Journal of Geographical Systems, Springer, vol. 14(2), pages 189-208, April.
- Nicolas Dendoncker & Mark Rounsevell & Patrick Bogaert, 2005. "Empirically Derived Suitability Maps to Downscale Aggregated Land Use Data," ERSA conference papers ersa05p59, European Regional Science Association.
- Caruso, Geoffrey & Peeters, Dominique & Cavailhes, Jean & Rounsevell, Mark, 2007. "Spatial configurations in a periurban city. A cellular automata-based microeconomic model," Regional Science and Urban Economics, Elsevier, vol. 37(5), pages 542-567, September.
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