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Measuring and optimizing the urban community resilience against public health emergencies: a case study in Nanjing, China
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. School of Civil Engineering, Nanjing Forestry University, Nanjing, China.
School of Civil Engineering, Nanjing Forestry University, Nanjing, China.
A. James Clark School of Engineering, University of Maryland, MD, College Park, United States.
Department of Building and Real Estate, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
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2025 (English)In: Frontiers in Public Health, E-ISSN 2296-2565, Vol. 13, article id 1691666Article in journal (Refereed) Published
Abstract [en]

Introduction: Urban communities, as the basic unit of urban governance, play a crucial role in responding to public health emergencies (PHEs). This study aims to investigate the resilience measurement and optimization strategies of urban communities in responding to PHEs in order to improve their resilience.

Methods: The study constructed a resilience assessment framework and identified 31 key influencing factors to measure the resilience of case communities in Nanjing. Through sensitivity analysis, static optimization strategies were proposed from social, environmental, and economic levels. Dynamic Bayesian network inference simulation and importance analysis were used to propose dynamic optimization strategies from pre, during, and long-term perspectives.

Results: Through the combination of dynamic and static strategies, community managers promote resilience building from both short-term and long-term perspectives.

Discussion: The study provides a valuable reference for comprehensively improving the emergency management system.
Place, publisher, year, edition, pages
Frontiers Media S.A., 2025. Vol. 13, article id 1691666
Keywords [en]
Bayesian network, optimization strategies, public health emergencies, resilience metrics, urban community resilience
National Category
Other Civil Engineering
Identifiers
URN: urn:nbn:se:umu:diva-246559DOI: 10.3389/fpubh.2025.1691666ISI: 001604017800001PubMedID: 41179801Scopus ID: 2-s2.0-105020310964OAI: oai:DiVA.org:umu-246559DiVA, id: diva2:2015544
Available from: 2025-11-21 Created: 2025-11-21 Last updated: 2025-11-21Bibliographically approved

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