Risk perception and evacuation decisions of Florida tourists under hurricane threats: a stated preference analysis

Though most hurricane evacuation studies have focused on residents, tourists are also a vulnerable population. To assess their perceptions of risk and evacuation likelihood under different hurricane conditions, we surveyed 448 tourists visiting central Florida. Respondents viewed four maps emulating track forecast cones produced by the National Hurricane Center and text information featuring variations of storm intensity, coast of landfall, centerline position relative to the survey site, time until landfall, and event duration. We performed chi-square tests to determine which hurricane conditions, and aspects of tourists such as their demographics and previous hurricane experience, most likely influenced their ratings of risk and evacuation likelihood for respondents located on Pinellas County beaches or inland near Orlando, FL. Highly rated scenarios featured a Category 4 hurricane making landfall along the Gulf Coast with the centerline passing over the sampling site. Overall, tourists that indicated the highest risk and evacuation ratings were not previously affected by a hurricane, had a trip duration of less than 6 days, and had checked for the possibility of a hurricane strike before departure. However, results for other tourist attributes differed between tourists in coastal and inland locations. We found that although somewhat knowledgeable about hurricanes, tourists misinterpreted the track forecast cone and hurricane conditions, which led to a lower perception of risk and subsequent likelihood to evacuate. Tourists, particularly those from outside of Florida, need to be better educated about the risks they face from hurricanes that make landfall.

[1]  R. Burby,et al.  Protecting tourists from death and injury in coastal storms. , 1996, Disasters.

[2]  Y. Reisinger,et al.  Travel Anxiety and Intentions to Travel Internationally: Implications of Travel Risk Perception , 2005 .

[3]  T. Drabek Human system responses to disaster , 1986 .

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

[5]  E Rincon,et al.  Effect of previous experience of a hurricane on preparedness for future hurricanes. , 2001, The American journal of emergency medicine.

[6]  Michael K. Lindell,et al.  A hurricane evacuation management decision support system (EMDSS) , 2007 .

[7]  Wen-Chau Lee,et al.  Rapid intensification, eyewall contraction, and breakdown of Hurricane Charley (2004) near landfall , 2007 .

[8]  Bob Edwards,et al.  Heading for higher ground: factors affecting real and hypothetical hurricane evacuation behavior , 2000 .

[9]  R. Sheldon,et al.  Stated preference methods , 1988 .

[10]  R. H. Simpson,et al.  The hurricane disaster potential scale , 1974 .

[11]  R. C. Sheets The National Hurricane Center—Past, Present, and Future , 1990 .

[12]  Thomas E. Drabek,et al.  Anticipating Organizational Evacuations: Disaster Planning by Managers of Tourist-Oriented Private Firms , 1991, International Journal of Mass Emergencies & Disasters.

[13]  THOMAS E. DRABEK,et al.  Variations in disaster evacuation behavior: public responses versus private sector executive decision-making processes. , 1992, Disasters.

[14]  Conceptualizing Continuous Coverage: A Strategic Model for Wall-to-Wall Local Television Weather Broadcasts , 2007 .

[15]  M. E. Brown,et al.  The perceived landfall location of evacuees from Hurricane Gustav , 2010 .

[16]  J. Crotts,et al.  The impact of the perception of risk on international travellers , 2007 .

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

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

[19]  Stanley K. Smith,et al.  Fleeing the storm(s): an examination of evacuation behavior during florida’s 2004 hurricane season , 2009, Demography.

[20]  Darrell M. West,et al.  Race, Gender, and Communications in Natural Disasters , 2007 .

[21]  Madhuri S. Mulekar,et al.  A 15-Year Climatology of North Atlantic Tropical Cyclones. Part I: Size Parameters , 2004 .

[22]  Lori B. Shelby,et al.  No-escape natural disaster: Mitigating Impacts on Tourism , 2004 .

[23]  DeMond Shondell Miller,et al.  THE IMPACT OF INFORMATION AND RISK PERCEPTION ON THE HURRICANE EVACUATION DECISION-MAKING OF GREATER NEW ORLEANS RESIDENTS , 2007 .

[24]  Colin J. McAdie,et al.  Advances and Challenges at the National Hurricane Center , 2009 .

[25]  R. Rosso,et al.  Wind control of storm‐triggered shallow landslides , 2007 .

[26]  Stephane Hess,et al.  Modeling Airport and Airline Choice Behavior with Stated-Preference Survey Data , 2006 .

[27]  Y. Reisinger,et al.  Differences in the Perceived Influence of Natural Disasters and Travel Risk on International Travel , 2010 .

[28]  Chester G. Wilmot,et al.  Sequential Logit Dynamic Travel Demand Model for Hurricane Evacuation , 2004 .

[29]  Carla S. Prater,et al.  Hurricane Evacuation Expectations and Actual Behavior in Hurricane Lili , 2007 .

[30]  Earl J. Baker,et al.  Predicting Response to Hurricane Warnings - Reanalysis of Data from 4 Studies , 1979 .

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

[32]  W. Briggs Statistical Methods in the Atmospheric Sciences , 2007 .

[33]  Susan L. Cutter,et al.  Emerging Hurricane Evacuation Issues: Hurricane Floyd and South Carolina , 2002 .

[34]  Xilin Yang,et al.  SARS related preventive and risk behaviours practised by Hong Kong-mainland China cross border travellers during the outbreak of the SARS epidemic in Hong Kong , 2004, Journal of Epidemiology and Community Health.

[35]  John C. Whitehead,et al.  Environmental Risk and Averting Behavior: Predictive Validity of Jointly Estimated Revealed and Stated Behavior Data , 2005 .

[36]  Xufeng Niu,et al.  Detecting Shifts in Hurricane Rates Using a Markov Chain Monte Carlo Approach , 2004 .

[37]  C. Matyas Associations between the size of hurricane rain fields at landfall and their surrounding environments , 2010 .

[38]  Fran H. Norris,et al.  Predicting Evacuation in Two Major Disasters: Risk Perception, Social Influence, and Access to Resources , 1999 .

[39]  A. Reichel,et al.  Rationalising terror-related risks: the case of Israeli tourists in Sinai. , 2007 .

[40]  Edward N. Rappaport,et al.  Loss of Life in the United States Associated with Recent Atlantic Tropical Cyclones , 2000 .

[41]  D. Fesenmaier,et al.  Expanding the functional information search model , 1998 .

[42]  R. Staelin,et al.  A Model of Perceived Risk and Intended Risk-handling Activity , 1994 .

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

[44]  Mary Fran Myers Natural Hazards Research and Applications Information Center, University of Colorado, Boulder* , 1991 .

[45]  Joya F. Golden,et al.  Disaster planning and risk communication with vulnerable communities: lessons from Hurricane Katrina. , 2007, American journal of public health.

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

[47]  A. Graefe,et al.  Determining Future Travel Behavior from Past Travel Experience and Perceptions of Risk and Safety , 1998 .

[48]  J. Polak,et al.  Modelling airport and airline choice behaviour with the use of stated preference survey data , 2007 .

[49]  J. Whitehead,et al.  One million dollars per mile? The opportunity costs of Hurricane evacuation , 2003 .

[50]  Brenda D. Phillips,et al.  Social Science Research Needs: Focus on Vulnerable Populations, Forecasting, and Warnings , 2007 .

[51]  M. Lindell,et al.  Communicating Environmental Risk in Multiethnic Communities , 2003 .

[52]  Eva D. Regnier,et al.  Public Evacuation Decisions and Hurricane Track Uncertainty , 2008, Manag. Sci..

[53]  L. Pennington-Gray,et al.  The Effect of Risk Perceptions on Intentions to Travel in the Aftermath of September 11, 2001 , 2004 .

[54]  S. Cutter,et al.  Fleeing from the Hurricane's Wrath: Evacuation and the two Americas , 2009 .

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

[56]  A. Tversky,et al.  Affect, Generalization, and the Perception of Risk. , 1983 .

[57]  Thomas E. Drabek,et al.  Disaster evacuation behavior : tourists and other transients , 1996 .

[58]  Haoqiang Fu,et al.  Development of dynamic travel demand models for hurricane evacuation , 2004 .

[59]  R. Elsberry,et al.  Accuracy of atlantic and eastern north pacific tropical cyclone intensity forecast guidance , 2007 .

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

[61]  Jason L. Simms,et al.  Disaster vulnerability and evacuation readiness: coastal mobile home residents in Florida , 2009 .

[62]  Donald Waldman,et al.  Household Evacuation Decision Making and the Benefits of Improved Hurricane Forecasting: Developing a Framework for Assessment , 2009 .

[63]  S. Cutter,et al.  Temporal and spatial changes in social vulnerability to natural hazards , 2008, Proceedings of the National Academy of Sciences.

[64]  Andrew Lepp,et al.  Sensation seeking and tourism: Tourist role, perception of risk and destination choice , 2008 .

[65]  Thomas E. Drabek,et al.  Disaster evacuation and the tourist industry , 1994 .

[66]  Mark Wardman,et al.  A COMPARISON OF REVEALED PREFERENCE AND STATED PREFERENCE MODELS OF TRAVEL BEHAVIOUR , 1988 .