The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making
Abstract
The United Nations Office for Disaster Risk Reduction reported that the 2011 natural disasters, including the earthquake and tsunami that struck Japan, resulted in $366 billion in direct damages and 29,782 fatalities worldwide. Storms and floods accounted for up to 70% of the 302 natural disasters worldwide in 2011, with earthquakes producing the greatest number of fatalities. Average annual losses in the United States amount to about $55 billion. Enhancing community and system resilience could lead to massive savings through risk reduction and expeditious recovery. The rational management of such reduction and recovery is facilitated by an appropriate definition of resilience and associated metrics. In this article, a resilience definition is provided that meets a set of requirements with clear relationships to the metrics of the relevant abstract notions of reliability and risk. Those metrics also meet logically consistent requirements drawn from measure theory, and provide a sound basis for the development of effective decision‐making tools for multihazard environments. Improving the resiliency of a system to meet target levels requires the examination of system enhancement alternatives in economic terms, within a decision‐making framework. Relevant decision analysis methods would typically require the examination of resilience based on its valuation by society at large. The article provides methods for valuation and benefit‐cost analysis based on concepts from risk analysis and management.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Resilience, Adaptability and Transformability in Social–ecological Systems
Walker, B., Holling, C. S., Carpenter, S. R., & Kinzig, A. P. (2004) · Ecology and Society · doi:10.5751/es-00650-090205 · Cited by 7,821
Community Resilience as a Metaphor, Theory, Set of Capacities, and Strategy for Disaster Readiness
Norris, F. H., Stevens, S. P., Pfefferbaum, B., Wyche, K. F., & Pfefferbaum, R. L. (2008) · American Journal of Community Psychology · doi:10.1007/s10464-007-9156-6 · Cited by 5,476
Designing Resilient, Sustainable Systems
Fiksel, J. (2003) · Environmental Science & Technology · doi:10.1021/es0344819 · Cited by 831
Cited by
A review of definitions and measures of system resilience
Hosseini, S., Barker, K., & Ramirez-Marquez, J. E. (2016) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2015.08.006 · Cited by 1,892
Battling the extreme: a study on the power system resilience
Bie, Z., Lin, Y., Li, G., & Li, F. (2017) · Proceedings of the IEEE · doi:10.1109/jproc.2017.2679040 · Cited by 879
Climate gentrification: from theory to empiricism in Miami-Dade County, Florida
Keenan, J. M., Hill, T., & Gumber, A. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aabb32 · Cited by 351
Geographic Information Systems and Science
(2019) · IntechOpen eBooks · doi:10.5772/intechopen.75243 · Cited by 305
Toward a consensus on the definition and taxonomy of power system resilience
Gholami, A., Shekari, T., Amirioun, M. H., Aminifar, F., Amini, M. H., & Sargolzaei, A. (2018) · IEEE Access · doi:10.1109/access.2018.2845378 · Cited by 294
Metadata
- Authors
- Ayyub, B. M.
- Venue
- Risk Analysis
- Publisher
- Wiley
- Published
- 2013-07-22
- Volume
- 34
- Issue
- 2
- Pages
- 340-355
- ISSN
- 0272-4332 (ISSN-L)
- 1539-6924
- OpenAlex
- W1546175941
- Cited by
- 619
- References
- 3
- FWCI
- 40.62
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making. https://app.cochat.ai/papers/10.1111/risa.12093
- The paper
- Ayyub, B. M. (2014). Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making. Risk Analysis. https://doi.org/10.1111/risa.12093
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.