基于 POI 的城市功能区及其混合度识别研究———以重庆市核心城区为例

摘要

Based on the theory of urban zoning and POI (point of interest)data, this paper takes the core urban area of Chongqing as an example, and based on the screening and classification of POI data, a “space-influence” binary weight calculation model is constructed to quantify POI attributes. Combined with the street partition, the main functions of each block are identified, and the functional mixture is calculated at the refined grid scale. The results indicate that the overall function of the central urban area is highly mixed, and the functional partition recognition is characterized by multi-center, and the urban group development mode is relatively mature; that the spatial distribution of functional areas of POIs with different functions is obviously different, and the functions of commercial service, residence and public service are characterized by group distribution and circle enclosing, while the industrial functions are mainly distributed around the central urban area, and the traffic and green space functions are mainly distributed in stations and large parks; and that the function recognition based on POI is significant, and the blending measure of refined grid has certain reference value for land use description of mountainous cities.

出版物
Journal of Southwest University (Natural Science Edition)

摘要

基于兴趣点数据(Point of Interest, POI)与城市分区相关理论,以重庆市核心城区为研究对象,在对POI进行筛选与分类的基础上,构建“空间——影响力”二元权重计算模型以量化 POI 属性,在精细化网格尺度下对功能混合度进行计算,并结合街道分区识别各街区主体功能。结果表明:中心城区整体功能混合程度较高,功能分区识别以多中心为显著特征,城市组团发展模式较成熟;不同类型 POI 所属功能区空间分布差异化明显,商服、居住、公服等功能以组团分布、圈层围合为整体特征,工业功能主要以中心城区边缘化分布为主,交通、绿地功能分别以主要站场和大型公园为主;基于POI的功能区识别效果显著,小尺度网格的功能混合度对山地城市的土地利用描述具有一定的参考价值。

Abstract

Based on the theory of urban zoning and POI (point of interest)data, this paper takes the core urban area of Chongqing as an example, and based on the screening and classification of POI data, a “space-influence” binary weight calculation model is constructed to quantify POI attributes. Combined with the street partition, the main functions of each block are identified, and the functional mixture is calculated at the refined grid scale. The results indicate that the overall function of the central urban area is highly mixed, and the functional partition recognition is characterized by multi-center, and the urban group development mode is relatively mature; that the spatial distribution of functional areas of POIs with different functions is obviously different, and the functions of commercial service, residence and public service are characterized by group distribution and circle enclosing, while the industrial functions are mainly distributed around the central urban area, and the traffic and green space functions are mainly distributed in stations and large parks; and that the function recognition based on POI is significant, and the blending measure of refined grid has certain reference value for land use description of mountainous cities.

引用格式

@article{2021_xndxxb_poi_functional_zone,
  title={基于 POI 的城市功能区及其混合度识别研究———以重庆市核心城区为例},
  author={HU Xiao-ming and LI Xiao-long and 蔚芳},
  journal={Journal of Southwest University (Natural Science Edition)},
  year={2021},
  doi={10. 13718/j.cnki. xdzk. 2021.01.019}
}
蔚芳
蔚芳
浙江大学副教授

现任浙江大学建工学院副教授。先后于同济大学获得城市规划学士与硕士学位,美国弗吉尼亚理工大学获得城市管理与规划博士学位。致力于空间规划与人工智能,气候变化与空间优化等方面的研究。主讲课程包括《国土空间规划理论与方法》、《城市经济学》等。已发表中英文书章及学术论文30余篇,其中学术专著7部,研究成果发表于《Landscape and Urban Planning》《Environment and Planning A》《城市规划》等国内外知名SCI/SSCI/EI期刊。主持国家自然科学基金、浙江省自然科学基金等多项科研项目,以及数十项城乡规划与设计实践项目;同时主持包括浙江大学慕课(MOOC)课程在内的十余项教学改革项目。曾获金钥匙国际荣誉协会终身荣誉会员等多项国际学术荣誉;以及全国城乡建设优秀勘察设计奖、建设部城乡建设优秀勘察设计项目、浙江省及杭州市等优秀城乡规划设计奖、我最喜爱的老师等多项荣誉与奖项。现为多个国际学术组织的会员或终身荣誉会员,担任十余种国际学术期刊的审稿人;并担任包括国家自然科学基金、浙江省自然科学基金等在内的诸多基金项目评审专家。