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Characterizing disaster resistance and recoveryusing outlier detection
Christopher W. Zobel
author
Stanley E. Griffis
author
Steven A. Melnyk
author
John R. MacDonald
author
2012
Simon Fraser University
Vancouver, BC
English
Most definitions of disaster resilience incorporate both the capacity to resist the initial impact of a disaster and the ability to recover after it occurs. Being able to characterize and analyze resilient behavior can lead to improved understanding not only of the capabilities of a given system, but also of the effectiveness of different strategies for improving its resiliency. This paper presents an approach for quantifying the transient behavior resulting from a disaster event in a way that allows researchers to not only describe the transient response but also assess the impact of various factors (both main and interaction effects) on this response. This new approach combines simulation modeling, time series analysis, and statistical outlier detection to differentiate between disaster resistance and disaster recovery. Following the introduction of the approach, the paper provides a preliminary look at its relationship to the existing concept of predicted disaster resilience. © 2012 ISCRAM.
Computer simulation
Information systems
Statistics
Time series analysis
Disaster resiliences
Disaster resistance
Interaction effect
Outlier Detection
Predicted Resilience
Resilient behavior
Simulation
Transient behavior
Disasters
exported from refbase (http://idl.iscram.org/show.php?record=247), last updated on Thu, 06 Aug 2015 11:51:12 +0200
text
http://idl.iscram.org/files/zobel/2012/247_Zobel_etal2012.pdf
ChristopherW.Zobel_etal2012
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2012
L. Rothkrantz
J
Ristvej
editor
9th International ISCRAM Conference on Information Systems for Crisis Response and Management
2012
Simon Fraser University
Vancouver, BC
conference publication
9780864913326
2411-3387
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