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Coupling Relationship between Commercial Spatial Structure and Population Based on the Point Pattern Analysis and Coupling Model: A Case Study in Beijing

机译:基于点模式分析和耦合模型的商业空间结构与人口耦合关系-以北京为例

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On the basis of the locations of all the commercial networks extracted from POI data in Beijing, this paper used the point pattern analysis and the construction of the coupling model to investigate the spatial pattern of different formats of commercial networks in Beijing, and the coupling of commercial networks and population on the scale of housing block. This research takes the central of Beijing city and suburban areas as the study area. The results show that: (1) Shopping malls, supermarkets and convenience stores are all spatial agglomeration types. And the clustering districts distribution of different formats of commercial networks varies in Beijing. The gathering areas of most formats of commercial networks distributed mainly within the Fourth Ring Road. (2) The L (d) curve shows that shopping malls and convenience stores belongs to the inverted "U" type, which indicates commercial outlets gathered first, and then tended to dispersed within a certain range. The curve of supermarket shows a rising type, indicating that with the increasing distance radius, the convergence degree gradually increased. (3) There are still many mismatches in the coupling relationship between commercial spatial pattern and population on the housing block scale. Senior commercial facilities and common living facilities are both poor in the peri-urban areas. At the same time, there are also some "blind spot" which are low coupled with population in the inner city.
机译:根据北京从POI数据中提取的所有商业网络的位置,利用点模式分析和耦合模型的构建,研究北京不同格式商业网络的空间格局,以及北京城市商业网络的耦合。商业网络和人口规模的住房。本研究以北京市中心和郊区为研究区域。结果表明:(1)大型购物中心,大型超市和便利店均为空间集聚类型。在北京,不同商业网络形式的聚类区域分布也有所不同。大多数格式的商业网络的聚集区域主要分布在四环路之内。 (2)L(d)曲线显示商场和便利店属于倒“ U”型,这表示商业网点先聚集起来,然后趋向于分散在一定范围内。超市的曲线呈上升型,表明随着距离半径的增大,收敛程度逐渐增大。 (3)在住房规模上,商业空间格局与人口之间的耦合关系仍然存在许多失配。在城市周边地区,高级商业设施和公共生活设施都很差。同时,内城区也有一些“盲点”,人口少。

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