标题: Integrating human mobility and rural multifunction to identify village types in metropolitan suburbanization

作者: Kong, XS (Kong, Xuesong); Zhang, RT (Zhang, Ruitian); Lin, FF (Lin, Feifei); Jiang, P (Jiang, Ping); Zhang, YJ (Zhang, Yajie)

来源出版物: JOURNAL OF RURAL STUDIES  卷: 119  文献号: 103776  DOI: 10.1016/j.jrurstud.2025.103776  Published Date: 2025 OCT  

摘要: Increasing human mobility during metropolitan suburbanization drives rapid functional transitions in rural areas. However, the interactions between human mobility and rural function has been challenging due to the scarcity of real-life mobility data. Leveraging mobile phone data capturing 50.26 million real-world exposures among 1.24 million people in Wuhan, China, we investigated the human mobility network and evaluated the multifunctional development levels across 1559 villages. We constructed a multifunctional index system spanning five dimensions: residential life, agricultural production, non-agricultural production, ecological security, and leisure culture. A Spatial Toeplitz Inverse Covariance-Based Clustering (STICC) algorithm was then proposed to identify village types by integrating mobility patterns and multifunctionality. Our analysis reveals that while Wuhan's rural areas remain predominantly monofunctional, high-frequency mobility drives evident multifunctional transformation. Population density, network centrality, and urban-rural connectivity all show significant positive correlations with residential life, non-agricultural production, and leisure-cultural functions, while exhibiting consistent negative correlations with ecological conservation. The STICC algorithm successfully delineated five distinct village types, enabling targeted optimization pathways. These findings provide a novel framework for deciphering mobility-function interdependence and advancing precision governance in metropolitan suburbanization.

作者关键词: Human mobility; Rural multifunction; Spatial clustering; Suburbanization

KeyWords Plus: MIGRATION; AREAS; MODEL; CITY; CLASSIFICATION; AGRICULTURE; PATTERNS; PROVINCE

地址: [Kong, Xuesong; Zhang, Ruitian; Lin, Feifei; Jiang, Ping; Zhang, Yajie] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Kong, Xuesong; Jiang, Ping; Zhang, Yajie] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

通讯作者地址: Jiang, P; Zhang, YJ (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

电子邮件地址: longkangkang@whu.edu.cn; yj-zhang@whu.edu.cn

影响因子：5.7