基于三种流的中国城市网络空间结构与自组织机制

安頔; 胡映洁; 万勇

doi:10.13959/j.issn.1003-2398.2025.03.008

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人文地理 ›› 2025, Vol. 40 ›› Issue (3) : 68-78. DOI: 10.13959/j.issn.1003-2398.2025.03.008

城市

基于三种流的中国城市网络空间结构与自组织机制

安頔¹, 胡映洁², 万勇²

作者信息 +

SPATIAL STRUCTURE AND SELF-ORGANIZING MECHANISMS OF URBAN NETWORKS IN CHINA BASED ON THREE TYPES OF FLOWS

AN Di¹, HU Ying-jie², WAN Yong²

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文章历史 +

摘要

随着城市网络在空间结构与影响机制研究的深入，自组织机制成为重要议题。本文针对中国336 个地级以上行政单元，基于互联网大数据构建企业组织、信息关注、人口流动三种城市网络，分析实体空间与拓扑结构特征，使用指数随机图模型对三种城市网络的外生影响因素与自组织机制进行实证检验。研究发现：实体空间层面，三种城市网络具有空间异质性，形成两种尺度下“中心—外围”结构，表现出相互交织和蔓延扩散的两种腹地形态；拓扑结构层面，三种网络分别体现出无标度和小世界特点，识别出不同空间范围下发挥主导作用的自组织特征；城市网络是外生影响因素与内生动力机制共同作用的结果，择优选择与网络邻近共同揭示了城市复杂系统背后的自组织机制。

Abstract

With the deepening of research on spatial structure and influence mechanisms within urban networks, the investigation of self-organizing mechanisms has become an important research topic. This paper took 336 China's prefecture-level administrative units as research objects, and utilize Internet big data to establish three kinds of urban networks: enterprise organization, information search, and population migration. Then we analyzed the characteristics of physical space and topological structure across these networks, and finally used the exponential random graph model to empirically test both exogenous influencing factors and endogenous self-organizing mechanisms. The research demonstrates that: 1) Three types of urban networks demonstrate spatial heterogeneity in physical spatial patterns, manifesting a "center-periphery" structure across two hierarchical scales: the national level and the regional level (encompassing urban agglomerations and provincial areas). This spatial configuration leads to two hinterland patterns: large-scale interlaced networks and proximity diffusion zones. 2) Topological analysis identifies characteristic scale-free and smallworld properties, with self-organization manifesting at varying scales. As spatial scope expands, triangle and star configurations emerge as dominant factors, driving the transformation of urban networks toward more complex interactive topologies. 3) Urban network arises from the synergistic integration of exogenous influencing factors and endogenous driving mechanisms. The mechanisms of preferential attachment and network proximity collectively elucidate the self-organization process underlying the intricate urban system.

导出引用

安頔, 胡映洁, 万勇. 基于三种流的中国城市网络空间结构与自组织机制[J]. 人文地理. 2025, 40(3): 68-78 https://doi.org/10.13959/j.issn.1003-2398.2025.03.008

AN Di, HU Ying-jie, WAN Yong. SPATIAL STRUCTURE AND SELF-ORGANIZING MECHANISMS OF URBAN NETWORKS IN CHINA BASED ON THREE TYPES OF FLOWS[J]. HUMAN GEOGRAPHY. 2025, 40(3): 68-78 https://doi.org/10.13959/j.issn.1003-2398.2025.03.008

中图分类号： F129.9

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