首页> 外文会议>International Conference on Intelligent Computation Technology and Automation >Coupling Relationship between Commercial Spatial Structure and Population Based on the Point Pattern Analysis and Coupling Model: A Case Study in Beijing
【24h】

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

机译:基于点模式分析与耦合模型的商业空间结构与人群的耦合关系 - 以北京市为例

获取原文

摘要

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:本文在北京从POI数据提取的所有商业网络的位置的基础上,采用了点模式分析和耦合模型的构建来研究北京不同格式的空间模式,以及耦合商业网络和住房块等级的人口。这项研究将北京市中心和郊区作为研究区。结果表明:(1)购物中心,超市和便利店都是所有空间凝聚类型。而聚类区分布不同格式的商业网络在北京各不相同。大多数格式的商业网络的聚集区域主要分布在第四圈路上。 (2)L(d)曲线表明,购物商场和便利店属于倒置的“U”类型,表示首先收集的商业网点,然后倾向于在一定范围内分散。超市的曲线显示出一个上升的类型,表明随着距离半径的增加,收敛度逐渐增加。 (3)在壳体块规模上的商业空间模式和群体之间的耦合关系中仍存在许多不匹配。围城地区的高级商业设施和共同生活设施均差。与此同时,还有一些“盲点”,与内城的人口很低。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号