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Space-time patterns of urban sprawl, a 1D cellular automata and microeconomic approach
CARUSO, Geoffrey; Peeters, Dominique; Cavailhès, Jean et al.


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Abstract :
[en] 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.
Disciplines :
Human geography & demography
Special economic topics (health, labor, transportation...)
Author, co-author :
CARUSO, Geoffrey  ;  University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Identités, Politiques, Sociétés, Espaces (IPSE)
Peeters, Dominique
Cavailhès, Jean
Rounsevell, Mark
Language :
Title :
Space-time patterns of urban sprawl, a 1D cellular automata and microeconomic approach
Publication date :
Publisher :
Centre for Operations Research and Econometrics, Louvain-la-Neuve, Belgium
Available on ORBilu :
since 25 November 2013


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