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Author
Christopher W. Zobel
;
Stanley E. Griffis
;
Steven A. Melnyk
;
John R. MacDonald
Title
Characterizing disaster resistance and recoveryusing outlier detection
Type
Conference Article
Year
2012
Publication
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
ISCRAM 2012
Volume
Issue
Pages
Keywords
Computer simulation
;
Information systems
;
Statistics
;
Time series analysis
;
Disaster resiliences
;
Disaster resistance
;
Interaction effect
;
Outlier Detection
;
Predicted Resilience
;
Resilient behavior
;
Simulation
;
Transient behavior
;
Disasters
Abstract
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.
Address
Virginia Tech, United States; Michigan State University, United States
Corporate Author
Thesis
Publisher
Simon Fraser University
Place of Publication
Vancouver, BC
Editor
L. Rothkrantz, J. Ristvej, Z.Franco
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3387
ISBN
9780864913326
Medium
Track
Analytical Modelling and Simulation
Expedition
Conference
9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes
Approved
no
Call Number
Serial
247
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