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城市作为自组织系统,可看作大量个体分散决策和交互的产物,其相对有序的宏观现象背后包藏着大量微观个体的随机过程及相互影响。大量的个体行为以及个体间的交互影响导致城市发展和运行的过程往往呈现出不连续性、多变性和不规则性,并外在地表现为个别的、不协调的事件和随机的累积。传统的自上而下的规划分析方法难以解释并有效应对城市发展和运行过程中多层次、非线性、开放性、不确定性和动态性等特点所带来的问题。面对上述城市系统复杂性与不确定性,新一代计算机辅助规划系统等量化分析方法应运而生,规
As a self-organizing system, the city can be seen as the product of decentralized decision-making and interaction among a large number of individuals. The relatively orderly macroeconomic phenomena behind the random processes and interactions of a large number of micro-individuals are hidden in the city. A large number of individual behaviors and interactions between individuals lead to the process of urban development and operation often showing discontinuity, variability and irregularity, and externally manifested as individual, uncoordinated events and random accumulation. The traditional top-down planning and analysis methods can not explain and effectively deal with the problems caused by the multi-level, non-linear, open, uncertain and dynamic urban development and operation. Faced with the complexity and uncertainty of the urban system, a new generation of computer-aided planning systems such as quantitative analysis methods came into being,