DocumentCode
2577462
Title
Cognitive barriers in floods risk perception and management: A mental modeling framework and illustrative example
Author
Linkov, Igor ; Wood, Michael ; Bridges, T. ; Kovacs, David ; Butte, S.
Author_Institution
US Army Eng. R&D Center, Vicksburg, MS, USA
fYear
2009
fDate
11-14 Oct. 2009
Firstpage
3940
Lastpage
3945
Abstract
Recent severe storm experiences in the U.S. Gulf Coast illustrate the importance of an integrated approach to natural disaster preparedness planning, one that harmonizes stakeholder and implementing agency efforts. Risk management decisions that are informed by and address decision maker and stakeholder risk perceptions and behavior are essential for effective risk management policy. Formal (versus ad hoc) analyses of risk manager and stakeholder cognition represent an important first step. Mental modeling has been successfully used to reveal, characterize and map stakeholder beliefs about risks in order to develop more effective cross-stakeholder communication strategies. This paper summarizes diagram-based representation of mental models, and presents an example specific to U.S. Army Corps of Engineers (USACE) flood preparedness and response program needs. Understanding flood risk mental models will enable USACE to bridge differences across and within stakeholder groups, cultures and disciplines internally and externally involved in natural disaster response in order to develop approaches for handling floods and other emerging challenges.
Keywords
disasters; emergency services; floods; national security; risk management; cognitive barriers; flood risk perception; homeland security; mental modeling framework; natural disaster preparedness planning; risk management; Bridges; Cognitive science; Disaster management; Engineering management; Floods; Government; Hurricanes; Insurance; Risk management; Storms; floods; homeland security; mental modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1062-922X
Print_ISBN
978-1-4244-2793-2
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2009.5346650
Filename
5346650
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