| Literature DB >> 28133626 |
Stanley Gilbert1, Bilal M Ayyub2.
Abstract
Estimating the economic burden of disasters requires appropriate models that account for key characteristics and decision making needs. Natural disasters in 2011 resulted in $366 billion in direct damages and 29,782 fatalities worldwide. Average annual losses in the US amount to about $55 billion. Enhancing community and system resilience could lead to significant savings through risk reduction and expeditious recovery. The management of such reduction and recovery is facilitated by an appropriate definition of resilience and associated metrics with models for examining the economics of resilience. This paper provides such microeconomic models, compares them, examines their sensitivities to key parameters, and illustrates their uses. Such models enable improving the resiliency of systems to meet target levels.Entities:
Keywords: Community; Consequence; Economics; Infrastructure; Measure; Metrics; Recovery; Resilience
Year: 2016 PMID: 28133626 PMCID: PMC5267494 DOI: 10.1061/AJRUA6.0000867
Source DB: PubMed Journal: ASCE ASME J Risk Uncertain Eng Syst A Civ Eng ISSN: 2376-7642