Urban Land Expansion Model Based on Multi- agent System and Application

  • 1. School of Info-Physics and Geomatics Engineering,Central South University,Changsha 410083,China;
    2. Changsha Planning Information Service Center,Changsha 410013,China;
    3. School of Geographic and Oceanographic Sciences,Nanjing University,Nanjing 210093,China

Received date: 2007-11-12

  Revised date: 2008-06-27

  Online published: 2008-08-25

Supported by

National Natural Science Foundation of China, No.40771198


The traditional urban land expansion model has paid m uch attention on a staticstate, and few scholars have focused research on land use change situations through tim e. A lthough the urban land expansion model based on cellular autom ata perform s dynam ic feature, the m odel fails to display the m ultivariate change results produced from different agents' behaviors. O n account of the above reasons, this research has built up a set of spatial-tem poral land resource allocation rule and developed a dynam ic urban land expansion m odel based on m ulti-agent system , w hich can sim ulate the interactions am ong agents. W hat's m ore, this m odel is applied to analyze and sim ulate urban land expansion process taking dow ntow n of C hangsha city as a study area. The results show that this m odel can not only reflect basic characteristics of urban land expansion, but also help to explain the reasons for urban land expansion process and understand the effect of agents' behavior on urban land expansion,w hat's m ore,in contrast to sim ulation results w ith land use classification m ap from rem ote sensing im ages, the accuracies of the sim ulation reached over 68% according to the cell-by-cell com parison,w hich m akes it possible to provide land use decision-m ake support to governm ent and urban planners.

Cite this article

ZHANG Hnghui, ZENG Yongnian, JIN X aobin, YIN Changlin, ZOU Bing . Urban Land Expansion Model Based on Multi- agent System and Application[J]. Acta Geographica Sinica, 2008 , 63(8) : 869 -881 . DOI: 10.11821/xb200808008


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