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第1期 危辉,等:一种基于MAS和GS平台的城市人口变迁模拟仿真方法 ·57 的过程大体上相吻合.本仿真模型对agent的属性 1998:5169 和行为的设计是建立在具有统计意义的、大规模的 [13 ]LUDEKE A K,MAGGD R C,RED L M.An analysis of 和宏观层次的基础上,这样做不仅可以在进行计算 anthropogenic deforestation using logistic regression and 机模拟时大大减轻庞大的计算和存储负担,更重要 GIS [J ]Joumal of Envirormental Management,1990, 31:247-259 的是以这样的粒度将agent与对象映射可以精确地 [14 ]LEGGETT C G,BOCKSTAEL N E Evidence of the 反映现实世界的物理过程.这些结果证明基于增强 effects of water quality on residential land prices [J]. GS模型的Multi-agent系统,随机过程和虚拟环境 Joumal of Envirommental Econom ics and Management, 的建立可以有效地模拟城市化过程 2000,39:121-144 参考文献: [15]BALL NG R J,TABER J T.BROWN M,et al Multiob- jective urban p lanning using a genetic algorithm [J ASCE [1 FORRESTER J W.Urban dynam ics [M Cambridge, Joumal of Urban Planning and Development,1999,125 USA:MIT Press,1969. (2):86-99 [2 W EGENER M.SPIEKERMANN K The potential ofm ico- [16]MANN S,BENW ELL G The integration of ecolgical, smulation for urban modeling [C ]//Proceedings of the In- neural,and spatial modeling for monitoring and prediction temational Workshop on Application of Computers in U rban for sem i-arid landscapes[J ]Computers and Geosc iences, Planning Kobe University,Kobe,Japan,1997:129-143 1996.22(9):1003-1012 [3 ]SKLAR F H,COSTANZA R The devebpment of dynam ic [17 ]BATTY M,LANGLER P A.The morphology of urban land spatial models for landscape ecology:A review and progno- use [J ]Envirorment and Planning B,1986,15:461- sis[M ]/TUNER M.G,GARDNER R H Quantitative 488 methods in landscape ecology New York:Springer-Verlag. [18 ]BATTY M.Urban modeling in computer-graphic and geo- 1991:239-288 graphic inmation systemn envirorment [J]Envirorment [4]GLBERT N,TRO IIZSCH K G Siulation for the social and Planning B,1992,19:663-688 scientist[M].London,UK:Open University Press,1999. [19 ]BATTY M,XIE Y From cells to cities[J ]Enviromment [5 ]KA MOW ITZ D,ANGELSEN A.Econom ic models of tropi- and Planning B,1994,21:31-48 cal deforestation:A review [M].Jakarta,Indonesia:Cen- [20 ]TOBLER W R.A computer movie smulating urban growth ter for Intemational Forestry Research,1998 in the detroit region [J]Econom ic-Geography,1970,46: [6 ]HOW IIT R E Positive mathematical programm ing[J ]A- 234-240 merican Joumal of Agricultural Econom ics,1995,77 (2): [21 ]COUCLEL IS H Cellular worlds A framework for model- 329-342 ing m icro-maco dynam ics[J]Environment and Planning [7JWENBERGM,KL NGCL,W LEN J E Water markets A,1985,17:585-596 and water quality[J].American Joumal of Agricultural E- [22 ]COUCLEL IS H Ofm ice and men:What rodent population conom ics,.1993,75(2):278-291 can teach us about complex spatial dynam ics[J]Environ- [8 ]CROMLEY R G,HAN NK D M.Coupling land-use albea- ment and PlanningA,1988,20:99-109 tion models with raster GS[J ]Joumal of Geographic Sys- [23 COUCLEL IS H Macrostructure and m icrobehavior in a ms1999,1(3):137-153 metropolitan area [J ]Enviromment and Planning B, [9]LONGEY P,HIGGS G,MARTN D.The predictive use 1989,16:141-154 of GS model property valuations[J]Intemational Jour [24]PH IPPS M,LANGO IS A.Spatial dynam ics,cellular au- nal of Geographical Infomation Systems,1994,8(2):217- tomata,and parallel processing computers [J ]Environ- 235 ment and Planning B:Planning and Design,1997,24: [10 ]BAKER W L A review of models in landscape change 193-204 [J].Landscape Ecobgy,1989,2(2):111-133 [25 ]BENATI S A cellular autmaon for the smulation of com- [11 ]MERTENS B,LAMB N EE Spatialmodeling of deforest petitive location[J ]Envirorment and Planning B:Plan- ation in Southem Cameroon [J ]Applied Geography, ning and Design,1997,24:205-218 1997,17(2):143-162 [26 ]WHIIE R,ENGELEN G Cellular automata and fractal [12]GEOGHEGAN J,PR IICHARD L J,OGNEVA-H MME- urban fom:A cellular modeling app roach b the evolution BLBERGER Y,etal“Socializing the pixel”and“pixe of urban land-use pattems[J].Envirorment and Planning izing the social"in land-use/cover change [M ]/Liver A,1993,25:1175-1199 man D,Moran E F,Rindfuss RR,et al People and pix- [27 ]WHITE R,ENGELEN G Cellular automata as the basis of els Washingon,DC,USA:National Research Council, integrated dynam ic regonal modeling [J]Envirorment 1994-2009 China Academic Journal Electronic Publishing House.All rights reserved.http://www.cnki.net的过程大体上相吻合. 本仿真模型对 agent的属性 和行为的设计是建立在具有统计意义的、大规模的 和宏观层次的基础上 ,这样做不仅可以在进行计算 机模拟时大大减轻庞大的计算和存储负担 ,更重要 的是以这样的粒度将 agent与对象映射可以精确地 反映现实世界的物理过程. 这些结果证明基于增强 GIS模型的 Multi2agent系统 ,随机过程和虚拟环境 的建立可以有效地模拟城市化过程. 参考文献 : [ 1 ] FORRESTER J W. 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Environment and Planning B: Plan2 ning and Design, 1997, 24: 2052218. [ 26 ]WH ITE R, ENGELEN G. Cellular automata and fractal urban form: A cellular modeling app roach to the evolution of urban land2use patterns[J ]. Environment and Planning A, 1993, 25: 1175 21199. [ 27 ]WH ITE R, ENGELEN G. Cellular automata as the basis of integrated dynamic regional modeling [ J ]. Environment 第 1期 危 辉 ,等 :一种基于 MAS和 GIS平台的城市人口变迁模拟仿真方法 ·57·
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