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

Geoffrey Caruso, Dominique Peeters, Jean Cavailhes, Mark Rounsevell

Research output: Contribution to journalArticlepeer-review

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 I D 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.

Original languageEnglish
Pages (from-to)968-988
Number of pages21
JournalEnvironment and Planning B: Planning and Design
Volume36
Issue number6
DOIs
Publication statusPublished - Nov 2009

Keywords

  • RESIDENTIAL PROPERTY-VALUES
  • LAND-USE
  • GASOLINE CONSUMPTION
  • PERIURBAN CITY
  • COMPACT CITY
  • MODEL
  • POLICY
  • CITIES
  • AREA

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