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Two-Stage Resilience Evaluation for Healthcare Networks from the Adaptability and Recoverability Perspective

Bibliographic Data

ID21738263
AuthorsShunshun Pei (0000-0002-2792-441X, Harbin Institute of Technology), Changhai Zhai (0009-0008-6560-4864, Harbin Institute of Technology), Jie Hu (0000-0003-4772-0315, Harbin Institute of Technology), Zhuoru Song (Harbin Institute of Technology)
Year2025
Volume26
Issue2
Publication date2025-05-01
Open AccessNo
TypeARTICLE
VenueNatural Hazards Review (JOURNAL)
Journal identifiersISSN: 1527-6988 • E-ISSN: 1527-6996
PublisherAmerican Society of Civil Engineers (ASCE) (PUBLISHER • US)
DOI10.1061/nhrefo.nheng-2171
OpenAlexW4408414002
LanguageEN
Citations received3
References cited55

Earthquake hazards have the potential to cause significant disruptions in healthcare networks. This study introduces an innovative resilience assessment framework that addresses adaptability during the short-term emergency phase and recoverability during the long-term restoration phase. The practical approach for quantifying the adaptability of a healthcare network considers changes in demand and loss of capabilities. It also considers the intricate interdependencies among building clusters, transportation systems, and hospitals, along with the complex cascading effects among both structural and nonstructural components within individual hospitals. Furthermore, the impact of various recovery strategies on resilience is thoroughly analyzed. To account for uncertainties, a Monte Carlo simulation (MCS) is integrated into the application of a real-world healthcare network located within a Chinese city. The outcomes of this study aid in identifying bottlenecks during medical rescue operations, thereby reducing casualties and assisting in decision making for postearthquake recovery efforts

Adaptability · Business · Environmental resource management · Health care · Political science · Psychological resilience · Computer Science · Environmental Science · Infrastructure Resilience and Vulnerability Analysis · Occupational Health and Safety Research · Psychology · Risk and Safety Analysis · Artificial Intelligence

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Citations per year3
Citation span2025 - 2026 (2)
Highly citedNo

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