Differences in Urban Development in China from the Perspective of Point of Interest Spatial Co-Occurrence Patterns

被引:1
|
作者
Dong, Guangsheng [1 ,2 ,3 ]
Li, Rui [1 ,2 ,3 ]
Li, Fa [4 ]
Liu, Zhaohui [1 ,2 ,3 ]
Wu, Huayi [1 ,2 ,3 ]
Xiang, Longgang [1 ,2 ,3 ]
Yu, Wensen [5 ]
Jiang, Jie [6 ,7 ]
Zhang, Hongping [7 ,8 ]
Li, Fangning [9 ]
机构
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China
[2] Hubei Luojia Lab, Wuhan 430079, Peoples R China
[3] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China
[4] Lawrence Berkeley Natl Lab, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA
[5] Wuyi Univ, Fujian Key Lab Big Data Applicat & Intellectualiza, Wuyishan 354300, Peoples R China
[6] Minist Nat Resources, Key Lab Urban Spatial Informat, Beijing 100044, Peoples R China
[7] Beijing Univ Civil Engn & Architecture, Sch Geomat & Urban Spatial Informat, Beijing 100044, Peoples R China
[8] Natl Geomat Ctr China, Beijing 100830, Peoples R China
[9] Beijing Urban Construct Design & Dev Grp Co Ltd, Beijing 100045, Peoples R China
基金
中国国家自然科学基金;
关键词
point of interest (POI); POI semantic space; spatial co-occurrence; urban function; urban development; UNBALANCED DEVELOPMENT; URBANIZATION; CITIES;
D O I
10.3390/ijgi13010024
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An imbalance in urban development in China has become a contradiction. Points of Interest (POIs) serve as representations of the spatial distribution of urban functions. Analyzing POI spatial co-occurrence patterns can reveal the agglomeration patterns of urban functions across cities at different levels, providing insights into imbalances in urban development. Using POI data from 297 cities in China, the Word2vec model was employed to model the POI spatial co-occurrence patterns, allowing for the quantification of fine-granular urban functionality. Subsequently, the cities were clustered into five tiers representing different levels of development. An urban hierarchical disparity index and graph were introduced to examine variations in urban functions across different tiers. A significant correlation between POI spatial co-occurrence patterns and the GDP of cities at different levels was demonstrated. This study revealed a notable polarization trend characterized by the development of top-tier cities and lagging tail-end cities. Top-tier cities exhibit advantages in terms of their commercial environments, such as international banks, companies, and transportation facilities. Conversely, tail-end cities face deficiencies in urban infrastructure. It is crucial to coordinate resource allocation and establish sustainable development strategies that foster mutual support between the top-tier and tail-end cities.
引用
收藏
页数:24
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