基于改进G2SFCA的城市公园绿地可达性评价及其选址优化研究——以苏州工业园区为例

Study on Accessibility Evaluation and Location Optimization of City Park Green Space Based on Improved G2SFCA:A Case Study of Suzhou Industrial Park

公园绿地是城市公共开放空间的重要组成部分,定量研究公园绿地的可达性可以为“公园城市”的建设提供科学合理的参考。本文基于居住小区、社区和街道3个尺度,运用改进后的高斯两步移动搜索法(I-G2SFCA)对苏州工业园区的城市公园绿地可达性进行评价;然后,利用k-means聚类算法求解新增公园个数;最后,基于粒子群优化算法求解城市公园绿地的优化选址问题。研究表明:1)利用改进后的算法进行可达性评价,计算结果符合实际公园绿地服务范围和居民出行情况,研究区域的城市公园绿地可达性整体呈中部和北部高、西部和东南部低的空间分布特征。2)建议在研究区域内新增5或10个规划待建公园。研究结果可为园区相关部门制订规划决策提供科学依据。

Park green space is an important part of urban public open space,and quantitative research on the accessibility of park green space can provide a scientific and reasonable reference for the construction of"park city".This paper evaluates the accessibility of urban parks in Suzhou Industrial Park based on three scales:residential neighborhoods,communities and streets,using the improved Gaussian two-step mobile search method;then,the k-means clustering algorithm is used to solve the number of new parks;finally,based on particle swarm optimization algorithm,the optimal location problem of urban park green space is solved.The research shows that:(1)The improved algorithm was used to evaluate the accessibility of urban parks,and the calculation results were consistent with the actual park green space service scope and residents'travel situation.The overall spatial distribution characteristics of urban park green space accessibility in the study area were high in the central and north,and low in the west and southeast.(2)It is recommended to add 5 or 10 planned parks in the study area.The research results can provide scientific basis for the relevant departments to make planning decisions.