Space-time patterns of urban sprawl, a 1D cellular automata and microeconomic approach

Geoffrey Caruso, Dominique Peeters, Jean Cavailhes and Mark Rounsevell

No 2008044, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Abstract: We present a theoretical model of residential growth that emphasizes 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 to both like and dislike the density of their neighbourhood, and 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 visualize 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.

Keywords: urban sprawl; open space; neighbourhood externalities; cellular automata; residential dynamics. (search for similar items in EconPapers)
JEL-codes: C61 C63 D62 R14 R21 (search for similar items in EconPapers)
Date: 2008-07-01
New Economics Papers: this item is included in nep-geo and nep-ure
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Working Paper: Space-time patterns of urban sprawl, a 1D cellular automata and microeconomic approach (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:cor:louvco:2008044

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