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author:

Fu, B. (Fu, B..) [1] | Liang, X. (Liang, X..) [2] | Wen, X. (Wen, X..) [3] | Zhang, S. (Zhang, S..) [4] | Cheng, Q. (Cheng, Q..) [5] (Scholars:成全)

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Abstract:

Disaster systems are characterized by complexity and chaos, often leading to cascading effects that amplify risks and losses across urban areas. To mitigate these impacts, it is crucial to investigate the interactions among functional organizations within emergency collaborative governance networks, thereby enhancing a city’s emergency management capability. This study analyzes the relational patterns among disaster response organizations in Fujian Province, China, utilizing historical data from 14 typhoon events between 1990 and 2023. Through three key indicators—organizational node centrality, clustering coefficients, and core-edge structures—the research examines the functional and structural characteristics of these organizations. Building on this analysis, the paper constructs a disaster chain network and proposes a collaborative urban emergency response model. By integrating disaster chain dynamics with organizational node relationships, the study aims to broaden the analytical framework for typhoon disaster management. The findings reveal that the Office of the People’s Government of Fujian Province serves as the central coordinator during typhoon responses, while the Emergency Management Department acts as the primary hub for integrating resources across critical departments, including transportation, meteorology, and civil affairs. Based on these results, the paper proposes three synergistic mechanisms: early warning dissemination, coordinated rescue operations, and post-disaster reconstruction, to optimize typhoon disaster response strategies. © The Author(s), under exclusive licence to Springer Nature B.V. 2025.

Keyword:

Collaborative governance Complex network Network analysis Public emergency

Community:

  • [ 1 ] [Fu B.]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 2 ] [Liang X.]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 3 ] [Wen X.]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 4 ] [Zhang S.]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 5 ] [Cheng Q.]School of Economics and Management, Fuzhou University, Fuzhou, China

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Source :

Natural Hazards

ISSN: 0921-030X

Year: 2025

3 . 3 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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