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An integrated model of Cellular Automata (CA) and Agent is proposed based on the research on the recent study of CA model and Agent model on simulation of urban land use change. This model makes a fusion of CA model's self-organization and Agent model's flexible computing. And a system of urban land use simulation is developed based on the model. The system makes three simulations under different...
This paper first developed an integrated model of urban land use changing using cellular automata (CA) and agent technique. In this model, every cell not only has the current state information of the cell, but also has the land use changing related information such as policy and natural condition information; the agents with different roles are used to process the information contained in the cell...
The complexity inherent in urban emergency response brings lots of challenge for decision making. An effective test bed for analyzing the dynamics of emergency response for different scenarios and evaluating the strength of rescue strategies is crucial for improving disaster planning, preparedness and mitigation. Computer simulation is becoming an increasingly important tool which provides an effective...
Cities are faced with many problems such as urban sprawl, congestion, and segregation. They are constantly changing. The heterogeneous nature of cities, make it difficult to generalize localized problems from that of city-wide problems. Computer modeling is becoming an increasingly important tool when examining how cities operate. Agent-based models allow for testing of different hypotheses and theories...
Cities are complex systems, with many dynamically changing parameters and large numbers of discrete actors. The heterogeneous nature of cities, make it difficult to generalize localized problems from that of city-wide problems. Computer modeling is becoming an increasingly important tool when examining how cities operate. Agent-based models allow for testing of different hypotheses and theories for...
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