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基于POI的济南市超市空间格局及影响因素分析

Analysis of Spatial Pattern and Influencing Factors of Supermarkets in Jinan City Based on POI

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【作者】 王光生郑国强石磊

【Author】 WANG Guangsheng;ZHENG Guoqiang;SHI Lei;

【通讯作者】 郑国强;

【机构】 山东建筑大学测绘地理信息学院

【摘要】 超市空间格局是反映人类社会经济活动空间特征的重要方式之一。文章以山东省济南市各类型超市POI数据为研究对象,运用核密度分析、多距离空间聚类分析、地学图谱等方法分析济南市超市格局分布特征,并结合济南市人口密度分布数据、道路交通数据分析其影响因素。主要研究结论为(1)济南市已形成历下区等五区连片簇聚和莱芜区两大超市集聚中心,其他区县超市集聚中心分散独立,不同类型超市集聚中心分布特征明显且存在明显差异,超市集聚中心个数随着超市规模的增大而逐渐减少。(2)在99%的置信水平下,Ripley’s K的观测值均在该函数期望值之上,表明各类型超市及全部超市的分布集聚特征显著。(3)各类超市的分布与人口密度和交通道路有明显关联关系,人口密度大的区域超市数量也相对较多,在道路5 km的缓冲区内包含95%左右的超市。

【Abstract】 The spatial pattern of supermarkets is one of the important ways to reflect the spatial characteristics of human social and economic activities. This paper takes the POI data of various types of supermarkets in Jinan City,Shandong Province as the research object, uses the methods of nuclear density analysis, multi-distance spatial cluster analysis and geoscience map to analyze the pattern distribution characteristics of supermarkets in Jinan, and analyzes its influencing factors based on Jinan population density distribution data and road traffic data. The main conclusions are as follows:(1)Jinan has formed two major supermarket agglomeration centers such as Lixia District and Laiwu District, and the supermarket agglomeration centers in other districts and counties are scattered and independent. The distribution characteristics of different types of supermarket agglomeration centers are obvious and different, and the number of supermarket agglomeration centers decreases gradually with the increase of supermarket scale;(2) at 99% confidence level,the observed values of Ripley’s K are above the expected value of the function, indicating that the distribution and agglomeration characteristics of all types of supermarkets and all supermarkets are significant; and(3) the distribution of all kinds of supermarkets is obviously related to population density and traffic roads. The number of supermarkets in areas with high population density is also relatively large, including about 95% of supermarkets in the buffer zone of road 5 km.

【关键词】 POI数据超市空间格局影响因素GIS
【Key words】 POI datasupermarketSpatial patterninfluencing factorsGIS
【基金】 2018年国家自然科学基金青年基金项目(51808320);山东省研究生创新计划(SDYY6031)
  • 【文献出处】 科技创新与应用 ,Technology Innovation and Application , 编辑部邮箱 ,2022年19期
  • 【分类号】F721.7
  • 【下载频次】295
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