基于智能体建模的避灾绿地规划分析研究  

Agent-based Modeling and Simulation on Escaping Green Space Planning Analysis

作　　者：吴昊[1] 刘凌波[1] Wu Hao;Liu Lingbo

机构地区：[1]武汉大学城市设计学院

出　　处：《华中建筑》2018年第8期75-77,共3页Huazhong Architecture

基　　金：中国博士后科学基金面上项目"基于多源数据的城市居民时空行为特征分析与仿真"(编号:2016M600609);武汉大学自主科研青年教师资助项目"基于智能体的城市规划分析模型研究"(编号:2042016kf0004)

摘　　要：随着国内城市化进程的高速推进,城市安全受到越来越多的关注,城市避灾绿地规划的重要性也逐步凸显。基于智能体建模(ABM)的研究方法,由于其自下而上的特性,近年来成为规划领域的研究热点之一。该文以避灾绿地规划中的定量分析为切入点,在Repast中构建了基于智能体的避灾绿地规划模型,并将其应用于实际的设计案例分析。研究进一步探索了智能体仿真模型在城市规划领域的应用,并提出了较为实用的基于仿真模型的规划分析方法与流程。In contrast to China's rapid urbanization,urban security gets more and more attention and the importance of urban escaping green space planning has also been showing,but the development of urban planning technologies remained relatively lagged behind.Agent-based modeling(ABM)has become an important subject recently in urban planning due to its top-down approach.By taking quantitative analysis of urban planning as a starting point,we achieve the building of an analysis model for urban escaping green space planning through the Repast software and the model was tested by an actual design case data.Further,we provide useful ideas for the applications of ABM in urban planning and propose a practical planning analysis method and process based on simulation model.

关 键 词：避灾绿地 智能体模型 城市规划 建模仿真 

分 类 号：TU985.12[建筑科学—城市规划与设计]