Representing perceived tradeoffs in defining disaster resilience

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.

[1]  Stephanie E. Chang,et al.  Fostering resilience to extreme events within infrastructure systems: Characterizing decision contexts for mitigation and adaptation , 2008 .

[2]  Stephanie E. Chang,et al.  Measuring Improvements in the Disaster Resilience of Communities , 2004 .

[3]  Martin Randles,et al.  Distributed redundancy and robustness in complex systems , 2011, J. Comput. Syst. Sci..

[4]  Robert G. Bea,et al.  A new approach to risk: The implications of E3 , 2009 .

[5]  Michel Bruneau,et al.  Exploring the Concept of Seismic Resilience for Acute Care Facilities , 2007 .

[6]  A. Rose DEFINING AND MEASURING ECONOMIC RESILIENCE TO DISASTERS , 2004 .

[7]  Alan T. Murray,et al.  Decision support for network disruption mitigation , 2008, Decis. Support Syst..

[8]  Adam Rose,et al.  Business Interruption Impacts of a Terrorist Attack on the Electric Power System of Los Angeles: Customer Resilience to a Total Blackout , 2007, Risk analysis : an official publication of the Society for Risk Analysis.

[9]  Gian Paolo Cimellaro,et al.  Seismic resilience of a hospital system , 2010 .

[10]  Siambabala Bernard Manyena,et al.  The concept of resilience revisited. , 2006, Disasters.

[11]  Robert J. Nicholls,et al.  Resilience to natural hazards: How useful is this concept? , 2003 .

[12]  Huicong Jia,et al.  Resilience to natural hazards: a geographic perspective , 2010 .

[13]  Christopher W. Zobel,et al.  Comparative visualization of predicted disaster resilience , 2010, ISCRAM.

[14]  Lindsey R. Barnes,et al.  A place-based model for understanding community resilience to natural disasters , 2008 .

[15]  Michel Bruneau,et al.  Conceptualizing and measuring resilience: A key to disaster loss reduction , 2007 .

[16]  Michel Bruneau,et al.  A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities , 2003 .

[17]  David Mendonça,et al.  Decision support for improvisation in response to extreme events: Learning from the response to the 2001 World Trade Center attack , 2007, Decis. Support Syst..

[18]  T. Saaty How to Make a Decision: The Analytic Hierarchy Process , 1990 .