Space–Time Patterns of Urban Sprawl, a 1D Cellular Automata and Microeconomic Approach

Geoffrey Caruso, Dominique Peeters, Jean Cavailhes and Mark Rounsevell
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Jean Cavailhes: UMR CESAER, Institut National de Recherche Agronomique, 21065 Dijon, France
Mark Rounsevell: School of Geosciences, University of Edinburgh, Edinburgh EH9 3JW, Scotland

Environment and Planning B, 2009, vol. 36, issue 6, 968-988

Abstract: We present a theoretical model of residential growth that emphasises the path-dependent nature of urban sprawl patterns. The model is founded on the monocentric urban economic model and uses a cellular automata (CA) approach to introduce endogenous neighbourhood effects. Households are assumed both to like and to dislike the density of their neighbourhood, and are assumed to trade-off this density with housing space consumption and commuting costs. Discontinuous spatial patterns emerge from that trade-off, with the size of suburban clusters varying with time and distance to the centre. We use space–time diagrams inspired from 1D elementary CA to visualise changes in spatial patterns through time and space, and undertake sensitivity analyses to show how the pattern and timing of sprawl are affected by neighbourhood preferences, income level, commuting costs, or by imposing a green belt.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:36:y:2009:i:6:p:968-988

DOI: 10.1068/b34009

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