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

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Caruso, Geoffrey [University of Luxembourg] Peeters, Dominique [UCL] Cavailhès, Jean [] Rounsevell, Mark []

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.

Document type Article de périodique (Journal article)
Access type Accès interdit
Publication date 2009
Language Anglais
Journal information "Environment and Planning B: Planning and Design" - Vol. 36, no. 6, p. 968-988 (2009)
Peer reviewed yes
Publisher Pion Ltd
issn 0265-8135
e-issn 1472-3417
Publication status Publié
Affiliations University of Luxembourg - Geography and Spatial Planning Research Centre
UCL - EUEN/CORE - Center for operations research and econometrics
Institut National de la Recherche Agronomique, Dijon - UMR CESAER
University of Edinburgh - School of Geosciences
Links
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Bibliographic reference Caruso, Geoffrey ; Peeters, Dominique ; Cavailhès, Jean ; Rounsevell, Mark. Space-time patterns of urban sprawl, a 1D cellular automata and microeconomic approach. In: Environment and Planning B: Planning and Design, Vol. 36, no. 6, p. 968-988 (2009)
Permanent URL http://hdl.handle.net/2078.1/28730