Simulation of Automatic Addressing Behavior Based on Urban Residential Land Dynamics Multi-Agents Model

In real life people tend to choose the ideal locations to dwell in and the characteristic can be called addressing behavior. It is certain that some positions' probabilities of being chosen are bigger than the others' then their probabilities of be developed firstly are relatively higher. By taking Wuhan city as an experiment region the paper establishes a framework of the urban residential land extension model based on MAS theory to simulate the house-buyers' addressing behavior automatically. The house-buyer agents can move in the simulant grid urban environment to search and choose the ideal housing locations and relevant arithmetic is designed to implement the process of house-buyers agents' automatic addressing behavior. The experiment outcome verified that using the arithmetic each house-buyer agent can search only within a certain scope then the cycle operation to the whole grid environment is unnecessary , as a result the model running speed increases.