From cells to cities
AbstractSince mathematical models came to be applied to problems of architectural and urban form, new concepts based on predicting large-scale structure from local rules have emerged through insights originating in computation and biology. The clearest of these are computer models based on cellular automata (CA) and their recent generalization in evolutionary biology and artificial life. Here we show how such models can be used to simulate urban growth and form, thus linking our exposition to the longer tradition of ideas in studies of built form emanating from the 'Cambridge School'. We first review developments of CA in general and then in urban systems in particular. We propose a general class of CA models for urban simulation and illustrate two simple applications, the first a simulation of the development of the historical 'cell' city of Savannah, Georgia, the second, a generic hypothetical application. We then show how this generic model can be used to simulate the growth dynamics of a suburban area of a mid-sized North American city, thus illustrating how this approach provides insights into the way microprocesses lead to aggregate development patterns.
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Bibliographic InfoArticle provided by Pion Ltd, London in its journal Environment and Planning B: Planning and Design.
Volume (Year): 21 (1994)
Issue (Month): 7 ()
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Web page: http://www.pion.co.uk
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- Giovanni A. Rabino & Lorenzo Papini & Silvana T. Lombardo & Antonio Colonna & Vittorio Di Stefano, 1998. "L.A.U.D.E: Learning Automata for Urban Development Exploration. The Case Study of Rome Urban System," ERSA conference papers ersa98p302, European Regional Science Association.
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