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福州市大众健身空间分布特点——基于POI与微博签到数据分析

Research on distribution of public fitness spaces in Fuzhou:based on analysis of POI and Weibo sign-in data
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摘要 以福州6个市辖区作为研究区域,爬取了百度地图973个大众健身空间数据、1438个公交地铁站点数据与38423条新浪微博签到数据,采取方向分布分析法、最邻近距离法、核密度估计法、缓冲区分析法、相关性分析法等研究手段,分析其空间布局特征及影响因素,得出福州市大众健身空间整体呈现西北-东南走向的不平衡分布并聚集于福州市区中西侧,且这种空间分布与交通条件、人口数量等因素高度相关,提出应加大新兴发展区域及远郊地区健身空间建设力度、完善城市社区15 min健身圈等建议。 Fuzhou’s six municipal districts were taken as research areas,and the data of 973 public fitness spaces and 1438 bus and subway stations were gathered from Baidu map together with 38,423 entries of Sina Weibo sign-in data.The spatial layout characteristics and influencing factors were analyzed with the direction distribution analysis method,the nearest neighbor distance method,the nuclear density estimation method,the buffer analysis method and the correlation analysis method.It is concluded that the public fitness spaces in Fuzhou present an unbalanced distribution with a northwest-to-southeast trend and they are gathered in the middle and west side of the city;the spatial distribution is highly correlated with traffic conditions and population.It is suggested that the construction of fitness spaces in emerging development areas and outer suburbs should be strengthened and the 15-minute fitness circle of urban communities should be improved.
作者 夏露 陈兰 XIA Lu;CHEN Lan(Department of Environmental and Resources Engineering,Zhicheng College,Fuzhou University,Fuzhou 350002,China;College of Arts College of Landscape Architecture,Fujian Agriculture and Forestry University,Fuzhou 350002,China)
出处 《福建工程学院学报》 CAS 2018年第6期600-608,共9页 Journal of Fujian University of Technology
基金 福建省教育厅资助项目(JAS150230)
关键词 兴趣点 微博签到 大众健身 空间分布 points of interest Weibo sign-in public fitness spatial distribution
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