A Theory-Based Cellular Automata for the Simulation of Land-Use Change
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This study proposes a theory-based cellular automata (CA) in which CA rules are constructed on the basis of a theory of urban land-use change and other local conditions. Rent gap theory that describes urban redevelopment and exogenous conditions that reflect urban development are embedded into a CA to simulate changes of land use. The theoretical framework provides a strong conceptual background for the CA simulation. A case study demonstrates the flexibility of the integrated framework for simulating land-use changes in complex settings. This research aims to help decision-makers formulate appropriate development plans. © 2011 The Ohio State University.
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