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作 者:陈润渲 刘刚[1] 李典 Chen Runxuan;Liu Gang;Li Dian(School of Earth Sciences,Chengdu University of Technology,Chengdu Sichuan 610059,China)
机构地区:[1]成都理工大学地球科学学院,四川成都610059
出 处:《国土与自然资源研究》2025年第3期40-44,共5页Territory & Natural Resources Study
基 金:国家自然科学基金项目(42371418)。
摘 要:随着公园城市的建设,绿地公园对城市可持续发展的促进作用越来越显著。城市居民也逐步将绿地公园作为休憩游玩的重要选择,绿地公园可达性是城市生活质量的一大衡量指标。为此,将以成都市中心五城区作为研究区域,研究其公园绿地空间分布情况以及居民日常出行情况。利用人口统计年鉴及多源遥感数据针对人口数据进行人口空间化,同时利用衰减函数的Ga2SFCA(高斯两步移动搜索法)进行成都市五城区绿地公园可达性分析。同时,对绿地空间可达性结果进行空间自相关分析,研究其空间分布格局。结果表明,成都市中心城区人口分布呈多中心多聚集的分布特征,绿地公园可达性呈四周可达性较高中心较低分布,且探索其人口空间分布与绿地可达性聚类模式,为未来绿地公园空间规划提供参考性意见。With the construction of park city,green space park plays a more and more significant role in promoting urban sustainable development.Urban residents also gradually take urban green parks as an important choice for recreation and play,the accessibility of green parks is a major indicator of urban life quality.To this end,five urban districts in the center of Chengdu will be taken as the research area to study the spatial distribution of park green space and residents’daily travel.Demographic yearbook and multi-source remote sensing data were used to spatialize population data,and Ga2SFCA(Gaussian two-step mobile search method)was used to analyze the accessibility of green parks in five urban districts of Chengdu.At the same time,the spatial autocorrelation analysis of the results of green space accessibility was carried out to study its spatial distribution pattern.The results show that the population distribution in the downtown area of Chengdu is multi-center and multi-aggregation,and the accessibility of green parks is higher in the surrounding areas and lower in the center.The clustering model of population spatial distribution and green space accessibility is explored,the paper provides reference advice for the future green park space planning.
关 键 词:空间可达性 绿地公园 随机森林 人口空间化 高斯两步移动搜索法
分 类 号:TU985.14[建筑科学—城市规划与设计]
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