The Dynamics of Hurricane Risk Perception: Real-Time Evidence from the 2012 Atlantic Hurricane Season

Findings are reported from two field studies that measured the evolution of coastal residents’ risk perceptions and preparation plans as two hurricanes — Isaac and Sandy — were approaching the United States coast during the 2012 hurricane season. The data suggest that residents threatened by such storms had a poor understanding of the threat posed by the storms; they over-estimated the likelihood that their homes would be subject to hurricane-force wind conditions, but under-estimated the potential damage that such winds could cause, and they misconstrued the greatest threat as coming from wind rather than water. These misperceptions translated into preparation actions that were not well commensurate with the nature and scale of the threat they faced, with residents being well prepared for a modest wind event of short duration but not for a significant wind-and-water catastrophe. Possible causes of the biases and policy implications for improving hurricane warning communication are discussed.

[1]  Mark A. Saunders,et al.  Normalized Hurricane Damage in the United States: 1900–2005 , 2008 .

[2]  Barbara Tufty,et al.  At War with the Weather , 1966 .

[3]  Lori Peek,et al.  The Effect of Proximity to Hurricanes Katrina and Rita on Subsequent Hurricane Outlook and Optimistic Bias , 2011, Risk analysis : an official publication of the Society for Risk Analysis.

[4]  J. Beven,et al.  Tropical Cyclone Report Hurricane Sandy , 2013 .

[5]  Karen L. Soderberg,et al.  Wireless substitution: state-level estimates from the National Health Interview Survey, January 2007-June 2010. , 2011, National health statistics reports.

[6]  B. Fischhoff,et al.  I knew it would happen: Remembered probabilities of once—future things , 1975 .

[7]  Michael K Lindell,et al.  The Protective Action Decision Model: Theoretical Modifications and Additional Evidence , 2012, Risk analysis : an official publication of the Society for Risk Analysis.

[8]  Rebecca E. Morss,et al.  Examining the use of weather forecasts in decision scenarios: results from a US survey with implications for uncertainty communication , 2010 .

[9]  Darren Lumbroso,et al.  A comparative analysis of the loss of life during two recent floods in France: the sea surge caused by the storm Xynthia and the flash flood in Var , 2012, Natural Hazards.

[10]  R. Morss,et al.  An In-Person Survey Investigating Public Perceptions of and Responses to Hurricane Rita Forecasts along the Texas Coast , 2007 .

[11]  N. Weinstein Unrealistic optimism about future life events , 1980 .

[12]  Ben P. Harvey,et al.  Emergencies and disasters , 2015 .

[13]  Richard S. Brown,et al.  The Effects of Hindsight Bias and Causal Attribution on Human Response to Environmental Events1 , 1994 .

[14]  R. Morss,et al.  Storm surge and "certain death": Interviews with Texas coastal residents following Hurricane Ike , 2010 .

[15]  Rebecca J. Heick,et al.  Deaths Associated with Hurricane Sandy — October–November 2012 , 2013, MMWR. Morbidity and mortality weekly report.

[16]  Michael K. Lindell,et al.  Household Decision Making and Evacuation in Response to Hurricane Lili , 2005 .

[17]  Anne Leitch,et al.  Mental models: an interdisciplinary synthesis of theory and methods , 2011 .

[18]  F. G. Martínez,et al.  Interpretations of the Flood , 1998 .

[19]  S. Brody,et al.  Hurricane risk perceptions among Florida's single family homeowners , 2005 .

[20]  Earl J. Baker,et al.  Hurricane Evacuation Behavior , 1991, International Journal of Mass Emergencies & Disasters.

[21]  Nicole Dash,et al.  Evacuation Decision Making and Behavioral Responses: Individual and Household , 2007 .

[22]  F. Marks,et al.  The Hurricane Forecast Improvement Project , 2013 .

[23]  Jeffrey Czajkowski,et al.  As the Wind Blows? Understanding Hurricane Damages at the Local Level through a Case Study Analysis , 2014 .

[24]  Howard C. Kunreuther,et al.  of Pennsylvania, co-director of the Risk Management and Decision Processes Center and co-author of Learning from Catastrophes: Strategies for Reaction and Response and At War with the Weather: Managing Large Scale Risks in a New Era of Catastrophes. , 2009 .

[25]  Michael K. Lindell,et al.  Risk Area Accuracy and Hurricane Evacuation Expectations of Coastal Residents , 2006 .

[26]  Neil D Weinstein,et al.  Taking Stock of Unrealistic Optimism , 2013, Perspectives on psychological science : a journal of the Association for Psychological Science.

[27]  S. Cutter,et al.  Crying wolf: Repeat responses to hurricane evacuation orders , 1998 .

[28]  Michael K. Lindell,et al.  Risk Area Accuracy and Evacuation from Hurricane Bret , 2004 .

[29]  Rebecca E. Morss,et al.  Creation and Communication of Hurricane Risk Information , 2012 .

[30]  C. Guard,et al.  Tropical Cyclone Report , 1989 .

[31]  Anthony Leiserowitz,et al.  Misinterpretations of the “Cone of Uncertainty” in Florida during the 2004 Hurricane Season , 2007 .

[32]  Shih-Kai Huang,et al.  Household Evacuation Decision Making in Response to Hurricane Ike , 2012 .

[33]  R. Thaler,et al.  Nudge: Improving Decisions About Health, Wealth, and Happiness , 2008 .

[34]  Edward N. Rappaport,et al.  THE DEADLIEST, COSTLIEST, AND MOST INTENSE UNITED STATES TROPICAL CYCLONES FROM 1851 TO 2004 (AND OTHER FREQUENTLY REQUESTED HURRICANE FACTS) , 2005 .

[35]  E Winograd,et al.  Remembering the earthquake: direct experience vs. hearing the news. , 1996, Memory.