Representing perceived tradeoffs in defining disaster resilience
Decision Support SystemsPublished 11 October 2010
Christopher W. Zobel
Citations332
SJR quartileQ1
SJR score2.37
SNIP2.59
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A multi-dimensional approach for predicting resilience into a technique for fitting the resilience function to the preferences and priorities of a given decision maker is extended, which allows for a more accurate representation of the perceived value of different resilience scenarios to that individual.
Abstract
Two of the primary measures that characterize the concept of disaster resilience are the initial impact of a disaster event and the subsequent time to recovery. This paper presents a new analytic approach to representing the relationship between these two characteristics by extending a multi-dimensional approach for predicting resilience into a technique for fitting the resilience function to the preferences and priorities of a given decision maker. This allows for a more accurate representation of the perceived value of different resilience scenarios to that individual, and thus makes the concept more relevant in the context of strategic decision making.
Keywords
Social SciencesEngineeringBusiness, Management and Accounting
European Journal of Operational ResearchHow to make a decision: The analytic hierarchy process
9,361 Citations1990Thomas L. Saaty
Earthquake SpectraA Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities
5,207 Citations2003Michel Bruneau, Stephanie E. Chang +8 more
Global Environmental ChangeA place-based model for understanding community resilience to natural disasters
4,203 Citations2008Susan L. Cutter, Lindsey R. Barnes +5 more
DisastersThe concept of resilience revisited
1,622 Citations2006Bernard Manyena
The concept of resilience is reviewed in terms of definitional issues, the role of vulnerability in resilience discourse and its meaning, and the differences between vulnerability and resilience.
Environmental HazardsResilience to natural hazards: How useful is this concept?
1,350 Citations2003Richard J. T. Klein, Robert J. Nicholls +1 more
An improvement to conceptual clarity would foster much-needed communication between the natural hazards and the climate change communities and, more importantly, offers greater potential in application, especially when attempting to move away from disaster recovery to hazard prediction, disaster prevention, and preparedness.
Disaster Prevention and Management An International JournalDefining and measuring economic resilience to disasters
829 Citations2004Adam Rose
Earthquake SpectraMeasuring Improvements in the Disaster Resilience of Communities
671 Citations2004Stephanie E. Chang, Masanobu Shinozuka
Resilience measures that relate expected losses in future disasters to a community's seismic performance objectives are proposed and demonstrated in a case study of the Memphis, Tennessee, water delivery system.
Structure and Infrastructure EngineeringSeismic resilience of a hospital system
634 Citations2009Gian Paolo Cimellaro, A. M. Reinhorn +1 more
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.
Earthquake SpectraExploring the Concept of Seismic Resilience for Acute Care Facilities
605 Citations2007Michel Bruneau, A. M. Reinhorn
The proposed framework makes it possible to relate probability functions, fragilities, and resilience in a single integrated approach, and to further develop general tools to quantify resilience for sociopolitical-engineering decisions.
Natural HazardsResilience to natural hazards: a geographic perspective
468 Citations2009Hongjian Zhou, Jing’ai Wang +2 more
Global Environmental ChangeFostering resilience to extreme events within infrastructure systems: Characterizing decision contexts for mitigation and adaptation
459 Citations2008Timothy L. McDaniels, Stephanie E. Chang +3 more
A conceptual framework for understanding the factors that influence the resilience of infrastructure systems in terms of robustness and rapidity is developed, and common decision contexts arise across many different infrastructure contexts when considering ways to make infrastructure systems more resilient.
Risk AnalysisBusiness Interruption Impacts of a Terrorist Attack on the Electric Power System of Los Angeles: Customer Resilience to a Total Blackout
293 Citations2007Adam Rose, Gbadebo Oladosu +1 more
This analysis indicates that electricity customers have the ability to mute the potential shock to their business operations by as much as 86% and market resilience lowers the losses, in part through the dampening of general equilibrium effects.
Decision Support SystemsDecision support for improvisation in response to extreme events: Learning from the response to the 2001 World Trade Center attack
207 Citations2005David Mendonça
By analyzing a case from the response to the 2001 World Trade Center attack, this paper develops a set of requirements for computer-based systems intended to support improvisation in response to extreme events.
Decision Support SystemsDecision support for network disruption mitigation
63 Citations2007Diane E. Snediker, Alan T. Murray +1 more
An integrated approach is developed that examines the effects of different network disruption scenarios for a variety of performance measures and facilitates examination of ''what-if'' planning scenarios.
Journal of Computer and System SciencesDistributed redundancy and robustness in complex systems
63 Citations2010Martin Randles, David Lamb +2 more
This paper reports on assessing and improving complex system resilience using distributed redundancy, termed degeneracy in biological systems, to endow large-scale complicated computer systems with the same robustness that emerges in complex biological and natural systems.
Risk ManagementA new approach to risk: The implications of E3
32 Citations2009Robert G. Bea, Ian I. Mitroff +3 more
The paper sets out a mechanism for developing models that include contextual as well as technological variables, and argues that the authors need models that avoid committing errors of the third kind, solving the wrong problem precisely.