大数据支持的武汉市功能识别与分布特征研究Research on function identification and distribution characteristics of Wuhan supported by big data
李强,郑新奇,晁怡
摘要(Abstract):
针对如何识别城市功能布局与分析及其分布特征等问题,该文借助大数据技术,对武汉市中心城区的城市功能与分布特征进行了识别和分析。使用POI数据作为城市功能点并进行重分类,并选取公众认知度和一般面积作为影响因子,通过权重赋值与核密度分析的方法,进行点与面的拓扑分析,最终得到武汉中心城区的城市功能分区与城市功能分布。通过与武汉市城市规划图和高精度遥感图像以及现有地图的对比和部分实地调查后发现,使用这种方法得到的城市功能分区的正确率达83%,是一种较为准确地进行城市功能分区与研究城市功能分布的办法。通过对武汉市功能分布特征的研究,我们发现:武汉呈现多中心发展模式;住宅功能和公共服务功能分布十分广泛;武汉各种城市功能在空间上有着较大的重叠。
关键词(KeyWords): 武汉;城市功能区;功能分布;核密度分析
基金项目(Foundation): 中央高校基本科研业务费专项资金资助(2652018083)
作者(Author): 李强,郑新奇,晁怡
DOI: 10.16251/j.cnki.1009-2307.2020.05.018
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