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长沙城市土地扩张模型及其应用 总被引:2,自引:0,他引:2
Although traditional urban expansion simulation models can simulate dynamic features, these models fail to address complex
changes produced by different agents’ behaviors. The paper has built up a set of spatial-temporal land resource allocation
rules and developed a dynamic urban expansion model based on a multi-agent system, which can simulate the interaction among
different agents, such as residents, peasants, and governments. This model is applied to simulate urban expansion process
taking Changsha City, in China as a study area. The results show that this model can not only reflect basic characteristics
of urban expansion, but also help explain the reasons for urban expansion process and understand the effect of agents’ behavior
on the expansion process, and provide insights into the causing factors behind the expansion. In addition, in contrast to
simulation results with land use classification map from remote sensing images, the precision of the simulation reached over
68% with higher precision than cellular automata model according to the cell-by-cell comparison. The results suggest that
the model can help to provide land use decision making support to government and urban planners. 相似文献
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