Modeling Evacuation Behavior Under Hurricane Conditions

The understanding of evacuation behavior is critical to establishing policies, procedures, and organizational structure for an effective response to emergencies. This study specifically investigated the evacuation behavioral responses under hurricane conditions. The study aimed to explore the association between contributing factors and the evacuation decision choices as well as evacuation destination choices. Unlike previous studies that modeled each response behavior separately, this study proposed to use the structural equation modeling approach to examine the interrelationship between response behaviors. A case study was performed with the data set from a survey conducted in New Jersey. With Bayesian estimation approaches, the proposed structural equation models were estimated, and the effect of each predictive variable was captured. An important finding is that individuals’ preference to evacuate did not significantly affect their choices of evacuation destinations. In addition, other socioeconomic and demographic characteristics that affected evacuation behavior were identified.

[1]  Kay W. Axhausen,et al.  Decomposing variations and co-variations in discrete travel choice behavior with multilevel cross-classified logit model , 2009 .

[2]  A. Daly,et al.  Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour , 2012 .

[3]  Ravindra Gudishala,et al.  Predictive Quality of a Time-Dependent Sequential Logit Evacuation Demand Model , 2013 .

[4]  Pamela Murray-Tuite,et al.  Evacuation transportation modeling: An overview of research, development, and practice , 2013 .

[5]  Devajyoti Deka,et al.  Using Hypothetical Disaster Scenarios to Predict Evacuation Behavioral Response , 2010 .

[6]  Pamela Murray-Tuite,et al.  Behavioral Model to Understand Household-Level Hurricane Evacuation Decision Making , 2011 .

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

[8]  Walter Gillis Peacock,et al.  Modeling Hurricane Evacutaion Decisions with Ethnographic Methods , 2001, International Journal of Mass Emergencies & Disasters.

[9]  Timothy Brezina,et al.  What Went Wrong in New Orleans? An Examination of the Welfare Dependency Explanation , 2008 .

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

[11]  Xiao-Li Meng,et al.  POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES , 1996 .

[12]  Bradley P. Carlin,et al.  Bayesian measures of model complexity and fit , 2002 .

[13]  Pamela Murray-Tuite,et al.  How to evacuate: model for understanding the routing strategies during hurricane evacuation , 2014 .

[14]  Brian Wolshon,et al.  Modeling Risk Attitudes in Evacuation Departure Choices , 2012 .

[15]  Steven P. Bucci,et al.  After Hurricane Sandy : time to learn and implement the lessons in preparedness, response, and resilience. , 2013 .

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

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

[18]  E. Baker Public Response to Hurricane Probability Forecasts , 1995 .

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