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Cited by 649

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Seismic resilience of a hospital system

Cimellaro, Gian Paolo, Reinhorn, Andrei M., Bruneau, Michel·2010·Structure and Infrastructure Engineering

Abstract

This paper presents a comprehensive model to quantify disaster resilience of systems that is defined as the capability to sustain functionality and recover from losses generated by extreme events. The model combines loss estimation and recovery models and can be applied to critical facilities (e.g. hospitals, military buildings, etc.), as well as utility lifelines (e.g. electric power systems, transportation networks, water systems etc.) that are crucial to the response of recovery processes, decisions and policies. Current research trend leads toward the definition of complex recovery models that are able to describe the process over time and the spatial definition of recovery (e.g. meta-models for the case of health care facilities). The model has been applied to a network of hospitals in Memphis, Tennessee. The resilience framework can be used as a decision support tool to increase the resilience index of systems, such as health care facilities, and reduce disaster vulnerability and consequences.

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Crossref · 10.1080/15732470802663847

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Metadata

Authors
Cimellaro, G. P., Reinhorn, A. M., & Bruneau, M.
Venue
Structure and Infrastructure Engineering
Published
2010-02
Volume
6
Issue
1-2
Pages
127-144
ISSN
  • 1573-2479 (ISSN-L)
  • 1744-8980
OpenAlex
W2072642080
Cited by
649
References
2
FWCI
24.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Seismic resilience of a hospital system. https://app.cochat.ai/papers/10.1080/15732470802663847
The paper
Cimellaro, G. P., Reinhorn, A. M., & Bruneau, M. (2010). Seismic resilience of a hospital system. Structure and Infrastructure Engineering. https://doi.org/10.1080/15732470802663847

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.