文章基本信息

标题：Space-time patterns of urban sprawl, a 1D cellular automata and microeconomic approach.
本地全文：下载
作者：Geoffrey CARUSO ; Dominique PEETERS ; Jean CAVAILHES,Mark,ROUNSEVELL 等
期刊名称：CORE Discussion Papers / Center for Operations Research and Econometrics (UCL), Louvain
出版年度：2008
卷号：1
出版社：Center for Operations Research and Econometrics (UCL), Louvain
摘要：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.
关键词：urban sprawl, open space, neighbourhood externalities, cellular automata, residential dynamics.