Reference : Space-time patterns of urban sprawl, a 1D cellular automata and microeconomic approach
E-prints/Working papers : Already available on another site
Social & behavioral sciences, psychology : Human geography & demography
Business & economic sciences : Special economic topics (health, labor, transportation…)
http://hdl.handle.net/10993/11932
Space-time patterns of urban sprawl, a 1D cellular automata and microeconomic approach
English
Caruso, Geoffrey mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Identités, Politiques, Sociétés, Espaces (IPSE) >]
Peeters, Dominique []
Cavailhès, Jean []
Rounsevell, Mark []
2008
Centre for Operations Research and Econometrics
CORE Discussion Papers
No
Louvain-la-Neuve
Belgium
[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.
Researchers
http://hdl.handle.net/10993/11932
http://www.uclouvain.be/cps/ucl/doc/core/documents/coredp2008_44.pdf

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