Identification and characterization of urban polycentric structure based on points of interest in Shenyang, China

被引:1
|
作者
Hao, Feilong [1 ,2 ]
Lu, Ming [1 ]
Yu, Tingting [3 ]
Wang, Shijun [1 ,2 ]
机构
[1] Northeast Normal Univ, Sch Geog Sci, 5268 Renmin St, Changchun 130024, Jilin, Peoples R China
[2] Minist Educ, Key Lab Geog Proc & Ecol Secur Changbai Mt, Changchun, Peoples R China
[3] Beijing Normal Univ, Coll Arts & Sci, Zhuhai, Peoples R China
基金
中国国家自然科学基金;
关键词
POI data; polycentric urban structure; spatial agglomeration; urban function; weighted overlay analysis; SPATIAL STRUCTURE; EMPLOYMENT; REGIONS; PATTERNS; MOBILITY; SIZE;
D O I
10.1111/grow.12697
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
Analyzing the spatial agglomeration and characteristics of urban functional elements and effectively identifying the polycentric pattern of a city can provide a scientific basis for urban planning. This study, on the basis of point-of-interest (POI) data, designs a weighted overlay-analysis method that is based on functional categories, spatial agglomeration, and POI weights to identify the spatial-agglomeration pattern and polycentric urban structure of Shenyang, China. Our results show that Shenyang has a significant polycentric urban structure. The POI elements in the municipal center in the second ring road show concentration and a contiguous distribution pattern. The POI element distribution near the city is scattered, and the spatial distribution of hotspots is uneven. The urban centers in the city planned by the government and those that we have identified differ. Because of the remote location and insufficient support facilities, the municipal subcenters and district centers do not play the role of decentralization as intended. Further strengthening the overall industrial planning and transportation apparatus is necessary in order to enhance the outward radiation and inward attraction of municipal subcenters. Our weighted overlay method realizes effective identification of the polycentric urban structure and can provide relevant reference for urban research and planning.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] Multi-source Data-driven Identification of Urban Functional Areas: A Case of Shenyang, China
    XUE Bing
    XIAO Xiao
    LI Jingzhong
    ZHAO Bingyu
    FU Bo
    Chinese Geographical Science, 2023, 33 (01) : 21 - 35
  • [22] Multi-source Data-driven Identification of Urban Functional Areas: A Case of Shenyang, China
    Xue, Bing
    Xiao, Xiao
    Li, Jingzhong
    Zhao, Bingyu
    Fu, Bo
    CHINESE GEOGRAPHICAL SCIENCE, 2023, 33 (01) : 21 - 35
  • [23] A New Urban Center/Subcenters Identification Approach Based on Open Street Map in Polycentric Urban Landscapes in the US
    Wen, Shaoting
    Redican, Kyle
    Hurtado, Carlos
    TRANSACTIONS IN GIS, 2024,
  • [24] Characterization and health risk assessment of PM10-bound PAHs in urban air of Shenyang, China
    Shi, Jianwu
    Han, Xinyu
    Sheng, Tao
    Bai, Zhipeng
    Ning, Ping
    PROGRESS IN ENVIRONMENTAL PROTECTION AND PROCESSING OF RESOURCE, PTS 1-4, 2013, 295-298 : 617 - +
  • [25] A Nighttime Light Remote Sensing Based Urban Spatial Structure Revealing Urban Spatial Polycentric Structure Affected by Haze Pollution
    Liu, Lili
    Chang, Zhijian
    Shen, Jingwei
    Shi, Kaifang
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 21
  • [26] Identification of Polycentric Cities in China Based on NPP-VIIRS Nighttime Light Data
    Ma, Mingguo
    Lang, Qin
    Yang, Hong
    Shi, Kaifang
    Ge, Wei
    REMOTE SENSING, 2020, 12 (19) : 1 - 28
  • [27] Macro Analysis of Urban Structure Based on Point of Interest
    Huang, Weili
    PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MECHATRONICS, COMPUTER AND EDUCATION INFORMATIONIZATION (MCEI 2016), 2016, 130 : 928 - 932
  • [28] Urban noise exposure assessment based on principal component analysis of points of interest
    Wang, Haibo
    Yan, Xiaolin
    Chen, Jincai
    Cai, Ming
    ENVIRONMENTAL POLLUTION, 2024, 342
  • [29] Does polycentric spatial structure narrow the urban-rural income gap?-Evidence from six urban clusters in China
    Zhang, Dongyang
    Kong, Qunxi
    Shen, Meng
    CHINA ECONOMIC REVIEW, 2023, 80
  • [30] Can regional polycentric spatial structure narrow the urban-rural income gap? Evidence from China
    Zhou, Qiuyang
    CHINA AGRICULTURAL ECONOMIC REVIEW, 2025, 17 (02) : 325 - 338