Spatial Configuration and Structural Resilience in the Population Flow Network: An Analysis of the Yimeng Mountainous Region

A systematic spatial resilience analysis of population flow networks in underdeveloped mountain towns is essential for sustainable urban–rural integration. Using mobile signaling data from March 2023, this study constructs a population flow network across 69 towns in the Yimeng Mountainous Region. This study proposes a novel targeted-attack framework based on centrality and assesses structural resilience along the three dimensions of efficiency, transitivity, and connectedness. Population flows exhibit a twin-core north–south structure, characterized by a hub-and-spoke system in the south and a self-stabilizing triangular configuration in the north. The network demonstrates strong spatial agglomeration and heterogeneity, with modular clustering revealing four functional modules shaped by administrative boundaries. It exhibits small-world properties, attributed to high transmission efficiency and strong local clustering. The network shows robust resilience to disruptions. Targeted attacks based on betweenness centrality significantly compromise structural resilience; efficiency, transmission, and connectivity change linearly at low attack intensities but decline sharply at higher levels.

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Publication Details

Journal
Sustainability
Published
2026-01-02
DOI
https://doi.org/10.3390/su18010456
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
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article

Spatial Configuration and Structural Resilience in the Population Flow Network: An Analysis of the Yimeng Mountainous Region

Haijiao Yu, Dawei Mei, Liang Wang, Jinlong Zhao et al.
Sustainability
Infrastructure Resilience and Vulnerability Analysis
article

Spatial Configuration and Structural Resilience in the Population Flow Network: An Analysis of the Yimeng Mountainous Region

Haijiao Yu, Dawei Mei, Liang Wang, Jinlong Zhao, Chen Huang
article en

Abstract

A systematic spatial resilience analysis of population flow networks in underdeveloped mountain towns is essential for sustainable urban–rural integration. Using mobile signaling data from March 2023, this study constructs a population flow network across 69 towns in the Yimeng Mountainous Region. This study proposes a novel targeted-attack framework based on centrality and assesses structural resilience along the three dimensions of efficiency, transitivity, and connectedness. Population flows exhibit a twin-core north–south structure, characterized by a hub-and-spoke system in the south and a self-stabilizing triangular configuration in the north. The network demonstrates strong spatial agglomeration and heterogeneity, with modular clustering revealing four functional modules shaped by administrative boundaries. It exhibits small-world properties, attributed to high transmission efficiency and strong local clustering. The network shows robust resilience to disruptions. Targeted attacks based on betweenness centrality significantly compromise structural resilience; efficiency, transmission, and connectivity change linearly at low attack intensities but decline sharply at higher levels.

SustainabilityVol. 18(1)
Linyi University (CN)
Openalex Percentile: Top 99%
Infrastructure Resilience and Vulnerability Analysis
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