Literature DB >> 23875704

Systems resilience for multihazard environments: definition, metrics, and valuation for decision making.

Bilal M Ayyub1.   

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.
© 2013 Society for Risk Analysis.

Keywords:  Community; consequence; infrastructure; measure; measurement; metrics; recovery; resilience; risk; robustness

Year:  2013        PMID: 23875704     DOI: 10.1111/risa.12093

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  6 in total

1.  Quantifying Socioeconomic Impact of a Tornado by Estimating Population Outmigration as a Resilience Metric at the Community Level.

Authors:  Hassan Masoomi; John W van de Lindt; Lori Peek
Journal:  J Struct Eng (N Y N Y)       Date:  2018-03-14       Impact factor: 3.312

2.  Modeling the resilience of critical infrastructure: the role of network dependencies.

Authors:  Roberto Guidotti; Hana Chmielewski; Vipin Unnikrishnan; Paolo Gardoni; Therese McAllister; John van de Lindt
Journal:  Sustain Resilient Infrastruct       Date:  2016-12-22

3.  Models for the Economics of Resilience.

Authors:  Stanley Gilbert; Bilal M Ayyub
Journal:  ASCE ASME J Risk Uncertain Eng Syst A Civ Eng       Date:  2016-04-04

4.  Community disaster resilience: a systematic review on assessment models and tools.

Authors:  Abbas Ostadtaghizadeh; Ali Ardalan; Douglas Paton; Hossain Jabbari; Hamid Reza Khankeh
Journal:  PLoS Curr       Date:  2015-04-08

5.  Overemphasis on recovery inhibits community transformation and creates resilience traps.

Authors:  Benjamin Rachunok; Roshanak Nateghi
Journal:  Nat Commun       Date:  2021-12-17       Impact factor: 14.919

6.  Developing a resilience assessment model for critical infrastructures: The case of port in tackling the impacts posed by the Covid-19 pandemic.

Authors:  Roozbeh Panahi; Negar Sadeghi Gargari; Yui-Yip Lau; Adolf K Y Ng
Journal:  Ocean Coast Manag       Date:  2022-06-20       Impact factor: 4.295

  6 in total

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