Revealing the Priorities for Rural Infrastructure Maintenance Through Complex Network Analysis: Evidence from 98 Counties in China

Driven by the Rural Revitalization Strategy, China has substantially increased its investment in rural infrastructure. Nevertheless, widespread issues such as underutilization and inadequate management persist. Recognizing rural infrastructure as a complex and interdependent system, this study applies complex network analysis to evaluate data from 98 counties, treating each county as an analytical unit and various infrastructure types as network nodes. A rural infrastructure interdependency network is constructed to examine the interdependencies among infrastructure and the overarching structural characteristics of the system. The analysis demonstrates that the rural infrastructure network exhibits pronounced modularity, with three distinct functional clusters: (1) electricity–water–broadband internet, (2) public service infrastructure, and (3) housing–environmental governance infrastructure. Furthermore, by employing a network dismantling approach that simulates facility management failures through the progressive removal of nodes, this study identifies paved roads and electricity supply stability as critical nodes within the rural infrastructure network. The failure of these infrastructures triggers systemic fragmentation and functional collapse, indicating their pivotal role in maintaining overall network integrity. These findings offer theoretical support for the optimization of infrastructure maintenance strategies, with the ultimate goal of enhancing the overall resilience and sustainable development capacity of rural infrastructure systems.

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Publication Details

Journal
Land
Published
2025-08-21
DOI
https://doi.org/10.3390/land14081688
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00

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article

Revealing the Priorities for Rural Infrastructure Maintenance Through Complex Network Analysis: Evidence from 98 Counties in China

Y. P. Pei, Muzhe Pan, Yaofu Huang, Xun Li et al.
Land
Urban Transport and Accessibility
article

Revealing the Priorities for Rural Infrastructure Maintenance Through Complex Network Analysis: Evidence from 98 Counties in China

Y. P. Pei, Muzhe Pan, Yaofu Huang, Xun Li, Zheng Li
article en

Abstract

Driven by the Rural Revitalization Strategy, China has substantially increased its investment in rural infrastructure. Nevertheless, widespread issues such as underutilization and inadequate management persist. Recognizing rural infrastructure as a complex and interdependent system, this study applies complex network analysis to evaluate data from 98 counties, treating each county as an analytical unit and various infrastructure types as network nodes. A rural infrastructure interdependency network is constructed to examine the interdependencies among infrastructure and the overarching structural characteristics of the system. The analysis demonstrates that the rural infrastructure network exhibits pronounced modularity, with three distinct functional clusters: (1) electricity–water–broadband internet, (2) public service infrastructure, and (3) housing–environmental governance infrastructure. Furthermore, by employing a network dismantling approach that simulates facility management failures through the progressive removal of nodes, this study identifies paved roads and electricity supply stability as critical nodes within the rural infrastructure network. The failure of these infrastructures triggers systemic fragmentation and functional collapse, indicating their pivotal role in maintaining overall network integrity. These findings offer theoretical support for the optimization of infrastructure maintenance strategies, with the ultimate goal of enhancing the overall resilience and sustainable development capacity of rural infrastructure systems.

LandVol. 14(8)
Sun Yat-sen University (CN), Wuhan Science and Technology Bureau (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 78%
Urban Transport and Accessibility
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