基于分区域的元胞自动机及城市扩张模拟

A Region-Based CA Model for Urban Land Use Simulation

元胞自动机用于模拟城市扩张具有很好的空间建模能力,通常采用的建模方式将影响因子的空间条件作为线性要素对待,而在元胞转换规则建模中考虑影响因子的空间非线性特征更逼近真实状况。该文提出一种基于分区域的元胞自动机模型,通过划分各个全局影响因子的重要性子区域,计算不同类型区域中各因子对土地利用转换的影响强度,从而得到全区域的空间非线性转换规则。利用该模型模拟东莞市1988—1993年的城市扩展过程,并与Logistic模型模拟结果对比,表明这种有空间约束条件的分区域元胞自动机模拟精度更高,能有效模拟城市扩张的空间格局。

Cellular Automata（CA） has strong spatial modeling capabilities, which can be used to simulate the urban sprawl phenomena. Transition rules of CA models are usually defined using linear methods. However, in fact, most of special factors manifest complex nonlinear features. A new model is proposed in this paper in which the special nonlinear features are taken into account. By this model the urban region is partitioned into influential region and common region according to the importance of global factors. And then,the CA global transfer possibility is calculated in different sub-region. At last, the transition rules of CA can be defined by integrative possibility. This method has been applied to the simulation of a fast growing city,Dongguan,in the Pearl River Delta. Comparison analysis indicates that this method can produce better simulation accuracies than the common linear method and the result of simulation can be easily understood by users.