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• W1965777797 abstract "Recent approaches to modeling urban growth use the notion that urban development can be conceived as a self-organizing system in which natural constraints and institutional controls (land-use policies) temper the way in which local decision-making processes produce macroscopic patterns of urban form. In this paper a cellular automata (CA) model that simulates local decision-making processes associated with fine-scale urban form is developed and used to explore the notion of urban systems as self-organizing phenomenon. The CA model is integrated with a stochastic constraint model that incorporates broad-scale factors that modify or constrain urban growth. Local neighborhood access rules are applied within a broader neighborhood in which friction-of-distance limitations and constraints associated with socio-economic and bio-physical variables are stochastically realized. The model provides a means for simulating the different land-use scenarios that may result from alternative land-use policies. Application results are presented for possible growth scenarios in a rapidly urbanizing region in south east Queensland, Australia." @default.
• W1965777797 created "2016-06-24" @default.
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• W1965777797 date "2000-11-01" @default.
• W1965777797 modified "2023-10-13" @default.
• W1965777797 title "A stochastically constrained cellular model of urban growth" @default.
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• W1965777797 doi "https://doi.org/10.1016/s0198-9715(00)00008-9" @default.
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