地理科学 ›› 2020, Vol. 40 ›› Issue (5): 691-700.doi: 10.13249/j.cnki.sgs.2020.05.003

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基于兴趣点(POI)大数据的东北城市空间结构分析

薛冰1,2(), 肖骁1,3, 李京忠2,4(), 谢潇1,2   

  1. 1.中国科学院沈阳应用生态研究所污染生态与环境工程重点实验室, 辽宁 沈阳 110016
    2.辽宁省环境计算与可持续发展重点实验室, 辽宁 沈阳 110016
    3.中国科学院大学, 北京100049
    4.许昌学院城乡规划与园林学院, 河南 许昌 461000
  • 收稿日期:2019-02-04 修回日期:2019-06-25 出版日期:2020-05-10 发布日期:2020-08-18
  • 通讯作者: 李京忠 E-mail:xuebing@iae.ac.cn;zhong_lij@163.com
  • 作者简介:薛冰(1982-),男,江苏连云港人,研究员,博导,主要从事东北地区人地关系分析、区域发展地理与产业生态学研究。E-mail: xuebing@iae.ac.cn
  • 基金资助:
    国家自然科学基金项目(41471116);国家自然科学基金项目(41971166);国家自然科学基金项目(41701142);国家自然科学基金项目(41701466);沈阳市科技局双百工程项目(Z17-7-030);中国科学院青年创新促进会项目(2016181);沈阳市中青年科技创新人才支持计划项目(RC180221)

Analysis of Spatial Economic Structure of Northeast China Cities Based on Points of Interest Big Data

Xue Bing1,2(), Xiao Xiao1,3, Li Jingzhong2,4(), Xie Xiao1,2   

  1. 1. Key Lab of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, Liaoning, China
    2. Key Lab for Environmental Computation and Sustainability of Liaoning Province, Shenyang 110016, Liaoning, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China
    4. College of Urban Planning and Architecture, Xuchang University, Xuchang 461000, Henan, China
  • Received:2019-02-04 Revised:2019-06-25 Online:2020-05-10 Published:2020-08-18
  • Contact: Li Jingzhong E-mail:xuebing@iae.ac.cn;zhong_lij@163.com
  • Supported by:
    National Natural Science Foundation of China(41471116);National Natural Science Foundation of China(41971166);National Natural Science Foundation of China(41701142);National Natural Science Foundation of China(41701466);Sci. & Tech. Department of Shenyang City(Z17-7-030);Youth Innovation Promotion Association CAS(2016181);Shenyang Young and Middle-aged Science and Technology Innovation Talent Support Program(RC180221)

摘要:

以东北三省36个城市为研究区,利用 400余万条兴趣点行业分类大数据,采用核密度估计、标准差椭圆、区位熵等方法分析城市空间结构及其行业构成机制。研究发现,东北城市要素显著集聚,城市内部空间结构呈现集中团块型、分散组合型、线型、放射型特征以及多元复合类型;第二产业和房地产业呈现郊区化特征,各行业发展方向与东北大区域的经济轴线一致,多数行业尚未形成专业化功能区;第二产业与房地产业的离心发展对集中团块型城市的塑造作用不强,但对分散组合型城市空间结构的贡献较大。线型城市通常兼具多中心特征,放射型城市各行业仍偏向于向心聚集。

关键词: 人地关系, 城市空间结构, POI大数据, 行业聚集, 东北地区

Abstract:

Urban spatial structure is the form of interaction among the urban human-land relationship elements. Taking the Northeast 36 cities as the research area, using the more than 4 million Points of Interest (POI) grouped by industry types, the article used the kernel density estimation method, the diversity index method and the standard deviational ellipse method to analyze the urban spatial structure and the agglomeration characteristics of the various industries. This research found that the urban structure of Northeast China is mainly characterized by concentrated mass, dispersed combination, linear and radial types. Some cities have diversified spatial structure. The second industry and real estate industry in Northeast China show the characteristics of suburbanization, the development direction of each industry is consistent with the economic axis of the Northeast region, and most industries have not yet formed a specialized functional area; The centrifugal development of secondary industry and real estate industry is not strong for the shaping of concentrated block cities, but it contributes greatly to the spatial structure of dispersed group cities. Linear cities usually have a multi-center composite characteristics, the various industries of radial city are still biased towards centripetal aggregation. This research deepens the empirical researches of the big data-driven urban spatial structure as well as industry spatial pattern, and also provides scientific cognitive basis for the rational planning of urban space and the coordinated sustainable development in Northeast China during the revitalization period.

Key words: man-land relationship, urban spatial structure, Points of Interest big data, industry gathering, Northeast China

中图分类号: 

  • K901/X24