A Constrained CA Model for Planning Simulation Incorporating Institutional Constraints

来源 :China City Planning Review | 被引量 : 0次 | 上传用户:rurucaihongru
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In recent years,it is prevailing to simulate urban growth by means of cellular automata (CA in short) modeling,which is based on selforganizing theories and different from the system dynamic modeling.Since the urban system is definitely complex,the CA models applied in urban growth simulation should take into consideration not only the neighborhood influence,but also other factors influencing urban development.We bring forward the term of complex constrained CA (CC-CA in short) model,which integrates the constrained conditions of neighborhood,macro socio-economy,space and institution.Particularly,the constrained construction zoning,as one institutional constraint,is considered in the CC-CA modeling.In the paper,the conceptual CC-CA model is introduced together with the transition rules.Based on the CC-CA model for Beijing,we discuss the complex constraints to the urban development of,and we show how to set institutional constraints in planning scenario to control the urban growth pattern of Beijing. In recent years, it is prevailing to simulate urban growth by means of cellular automata (CA in short) modeling, which is based on selforganizing theories and different from the system dynamic modeling. Since the urban system is definitely complex, the CA models applied in urban growth simulation should take into consideration not only the neighborhood influence, but also other factors influencing urban development. We bring forward the term of complex constrained CA (CC-CA in short) model, which integrates the constrained conditions of neighborhood, macro socio- economy, space and institution. Partially, the constrained construction zoning, as one institutional constraint, is considered in the CC-CA modeling. in the paper, the conceptual CC-CA model is introduced together with the transition rules. CA model for Beijing, we discuss the complex constraints to the urban development of, and we show how to set institutional constraints in planning scenario to control the urban growth patte rn of Beijing.
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