Online citations, reference lists, and bibliographies.
← Back to Search

Cognitive Barriers In Floods Risk Perception And Management: A Mental Modeling Framework And Illustrative Example

I. Linkov, M. Wood, T. Bridges, D. Kovacs, Sarah Thorne, G. Butte
Published 2009 · Business, Computer Science

Save to my Library
Download PDF
Analyze on Scholarcy
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.
This paper references
Characterizing Mental Models of Hazardous Processes: A Methodology and an Application to Radon
A. Bostrom (1992)
The “Big Questions” of Katrina and the 2005 Great Flood of New Orleans
B. Cigler (2007)
Risk perception and communication unplugged: twenty years of process.
B. Fischhoff (1995)
Figure 1. Simple Expert Model of Influences on USACE Flood Risk Management
The dirty dozen: twelve failures of the hurricane katrina response and how psychology can help.
Anahita Gheytanchi (2007)
Science-based stakeholder dialogues: Theories and tools
M. Welp (2006)
Hurricane Katrina and That Vexing What If? Question
B. Johnson (2005)
A Mental Modeling Approach to Study Decision‐Making in Dynamic Task Environments
M. Wood (2010)
Army Corps of Engineers, New Orleans DistrictLouisiana Coastal Protection and Restoration Technical Report Draft
Designing risk communications
C. J. Atman (1994)
Improving public safety in the United States—from Federal protection to shared flood risk reduction
E. Hecker (2008)
A mental model approach applied to R&D decision-making
D. M. Vislosky (2000)
Controversies in water management: Frames and mental models
R. Kolkman (2005)
Public perception of the risks of floods: implications for communication.
T. Lave (1991)
Working Group for Post-Hurricane Planning for the Louisiana Coast, A New Framework for Planning the Future of Coastal Louisiana after the Hurricanes of
Risk Communication: A Mental Models Approach
B. Johnson (2002)
What Do People Know About Global Climate Change? 1. Mental Models
A. Bostrom (1994)
Evaluating Risk Communications: Completing and Correcting Mental Models of Hazardous Processes, Part II
A. Bostrom (1994)
Louisiana Coastal Protection and Restoration Technical Report Draft
U. S. Army Corps of Engineers (2008)
Flooding risks: a comparison of lay people's perceptions and expert's assessments in Switzerland.
M. Siegrist (2006)
Now what do people know about global climate change? Survey studies of educated laypeople.
Travis William Reynolds (2010)
How can we learn to live with rivers? The findings of the Institution of Civil Engineers Presidential Commission on flood-risk management
G. Fleming (2002)
One nation, one policy, one program flood risk management
P. Rabbon (2008)
Mental models of flash floods and landslides.
K. Wagner (2007)
Learning to live with rivers—the ICE's report to government
G. Fleming (2002)
Influences on US Army Corps of Engineers (USACE) Flood Risk Management: An Expert Model Approach
Decision Partners

This paper is referenced by
Semantic Scholar Logo Some data provided by SemanticScholar