舒帮荣, 刘友兆, 张鸿辉, 张庆利. 集成变权与约束性模糊CA的城镇用地扩张情景模拟[J]. 武汉大学学报 ( 信息科学版), 2013, 38(4): 498-503.
引用本文: 舒帮荣, 刘友兆, 张鸿辉, 张庆利. 集成变权与约束性模糊CA的城镇用地扩张情景模拟[J]. 武汉大学学报 ( 信息科学版), 2013, 38(4): 498-503.
SHU Bangrong, LIU Youzhao, ZHANG Honghui, ZHANG Qingli. Scenario Simulation of Urban Land Expansion Integrate Variable Weight with Constrained Fuzzy Cellular Automata[J]. Geomatics and Information Science of Wuhan University, 2013, 38(4): 498-503.
Citation: SHU Bangrong, LIU Youzhao, ZHANG Honghui, ZHANG Qingli. Scenario Simulation of Urban Land Expansion Integrate Variable Weight with Constrained Fuzzy Cellular Automata[J]. Geomatics and Information Science of Wuhan University, 2013, 38(4): 498-503.

集成变权与约束性模糊CA的城镇用地扩张情景模拟

Scenario Simulation of Urban Land Expansion Integrate Variable Weight with Constrained Fuzzy Cellular Automata

  • 摘要: 引入变权理论、模糊理论、规模及空间约束等,构建了基于变权的约束性模糊元胞自动机(CA),用于城镇用地空间管制边界的模拟,并以太仓市区为例进行应用研究。结果显示,太仓市区城镇用地扩张首先通过内部填充,再进行外部扩张,体现了紧凑式发展模式,其发展方向符合“十一五”规划要求。研究表明,该模型不仅能解决城镇用地扩张的合理规模问题,同时也可灵活处理不同因素的作用程度及空间选择的模糊决策问题,故可更好地满足土地利用规划的需要。

     

    Abstract: A constrained fuzzy cellular automata model was established to simulate the spatial regulation boundary of urban land expansion. In the model, theories of variable weight and fuzzy set, area constraint and spatial constraint were introduced. A case study was taken in Taicang city by using this model. The results show that urban land expand by the means of inner-fill firstly, and then expand outward, and it is a type of compact development. The urban expansion direction accords with requirement of the eleventh five-year planning. We find that this model could be used not only to solve the problems of rational scale of urban land, but also to deal with problems of different factors′ influences on land development and fuzzy decision in spatial location flexibly. So the model could satisfy the current needs of land use planning.

     

/

返回文章
返回