基于日常人口流动的城市群等级与网络结构——对中国五大城市群的考察
Hierarchy and Network Structure of Urban Agglomerations based on Daily Population Mobility:A Study of Five Major Urban Agglomerations in China
侯华丽 1冯健 1张瑞华1
作者信息
- 1. 北京大学城市与环境学院,北京,100871
- 折叠
摘要
利用百度迁徙数据从"等级—网络"的视角深入考察中国五大城市群内部与外部的日常人口流动模式.研究发现,京津冀城市群为单中心、低均衡、中等对外联系型,长三角城市群为多核心、高均衡、强对外联系型,珠三角城市群为双中心、高均衡、强对外联系型,长江中游城市群为准多核心、低均衡、中等对外联系型,成渝城市群为准双中心、低均衡、弱对外联系型.五大城市群之间的人口联系主要集中在长三角、珠三角之间,城市群协同发展程度有待提升.研究不仅为理解和推动中国城市群协调发展提供了新的视角和数据支撑,也为城市规划、区域政策制定和优化提供了科学依据.
Abstract
This article utilizes Baidu migration data to examine the spatial patterns of daily population movements within and outside the five major urban agglomerations from a hierarchical-network perspective.The study reveals that the Beijing-Tianjin-Hebei urban agglomeration is a monocentric,low-balanced,medium-external linkage urban agglomeration.The Yangtze River Delta urban agglomeration is a multi-core,high-balanced,strong-external linkage urban agglomeration.The Pearl River Delta urban agglomeration is a bicentered,high-balanced,strong-external linkage urban agglomeration.The city agglomeration in the middle reaches of the Yangtze River is a quasi-multicore,low-balanced,medium-external linkage urban agglomeration.Lastly,the Chengdu-Chongqing urban agglomeration is a quasi-biocentric,low-balanced,weak-external linkage urban agglomeration.The population connection among the five major urban agglomerations mainly focuses on the Yangtze River Delta and Pearl River Delta urban agglomerations.The degree of synergistic development of the urban agglomerations needs improvement.The study not only provides new perspectives and data to support the understanding and promotion of the coordinated development of China's urban agglomerations but also offers a scientific basis for urban planning,regional policy formulation,and optimization.
关键词
五大城市群/日常人口联系/"等级—网络"结构/社会网络分析法/百度迁徙数据Key words
Urban Agglomeration/Daily Population Interactions/"Hierarchical-network"Structure/Social Network Analysis/Baidu Migration Data引用本文复制引用
出版年
2024
NETL
NSTL
万方数据