A systematic review of enhancing urban disaster resilience for smart cities: from a perspective of social network analysis

Objectives This study examines how Social Network Analysis (SNA) contributes to understanding and enhancing urban resilience, addressing the need to integrate social dimensions beyond technology-driven smart city approaches. Methods A systematic literature review combining bibliometric and content analysis was conducted on 89 peer-reviewed articles to identify key themes, node types, and applications of SNA in resilience research. Results Findings show that urban resilience is shaped by interactions among community, institutional, and infrastructure networks, though most studies focus on isolated network types. SNA applications have evolved from small-scale surveys to social media and multi-source data, yet longitudinal analyses remain limited. Highly central nodes are often assumed to enhance resilience, but causal relationships are rarely tested. Additionally, social ties, community engagement, and behavioral factors emerge as critical drivers, while challenges persist in data integration, dynamic analysis, and incorporating human behavior into network models. Conclusion Advancing SNA for urban resilience requires integrating diverse data sources, longitudinal approaches, and behavioral insights to support more inclusive, adaptive, and evidence-based urban policy and disaster management strategies.

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Publication Details

Journal
International Journal of Public Health
Published
2026-05-08
DOI
https://doi.org/10.3389/ijph.2026.1609235
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

A systematic review of enhancing urban disaster resilience for smart cities: from a perspective of social network analysis

Y. Zhang, Shiyao Zhu
International Journal of Public Health
Smart Cities and Technologies
article

A systematic review of enhancing urban disaster resilience for smart cities: from a perspective of social network analysis

Y. Zhang, Shiyao Zhu
article en

Abstract

Objectives This study examines how Social Network Analysis (SNA) contributes to understanding and enhancing urban resilience, addressing the need to integrate social dimensions beyond technology-driven smart city approaches. Methods A systematic literature review combining bibliometric and content analysis was conducted on 89 peer-reviewed articles to identify key themes, node types, and applications of SNA in resilience research. Results Findings show that urban resilience is shaped by interactions among community, institutional, and infrastructure networks, though most studies focus on isolated network types. SNA applications have evolved from small-scale surveys to social media and multi-source data, yet longitudinal analyses remain limited. Highly central nodes are often assumed to enhance resilience, but causal relationships are rarely tested. Additionally, social ties, community engagement, and behavioral factors emerge as critical drivers, while challenges persist in data integration, dynamic analysis, and incorporating human behavior into network models. Conclusion Advancing SNA for urban resilience requires integrating diverse data sources, longitudinal approaches, and behavioral insights to support more inclusive, adaptive, and evidence-based urban policy and disaster management strategies.

International Journal of Public HealthVol. 71
Nantong University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province
Climate action
Openalex Percentile: Top 6%
Smart Cities and Technologies
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