The Role of Social Networks and Information Sources on Hurricane Evacuation Decision Making

AbstractHurricanes often threaten to have catastrophic impacts on the lives of residents in coastal areas of the U.S. Timely evacuation limits this impact, but people may choose to evacuate or not ...

[1]  Pamela Murray-Tuite,et al.  A random parameter ordered probit model to understand the mobilization time during hurricane evacuation , 2013 .

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

[3]  Peter V. Marsden,et al.  Interpretation and interview context: examining the General Social Survey name generator using cognitive methods , 1999, Soc. Networks.

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

[5]  Joan Miquel Verd,et al.  Homophily and heterophily in personal networks. From mutual acquaintance to relationship intensity , 2014 .

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

[7]  Fred L Mannering,et al.  A note on modeling vehicle accident frequencies with random-parameters count models. , 2009, Accident; analysis and prevention.

[8]  Michael K. Lindell,et al.  Critical Behavioral Assumptions in Evacuation Time Estimate Analysis for Private Vehicles: Examples from Hurricane Research and Planning , 2007 .

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

[10]  An empirical analysis of hurricane evacuation expenditures , 2015, Natural Hazards.

[11]  Namkee Park,et al.  Individuals' personal network characteristics and patterns of Facebook use: A social network approach , 2012, Comput. Hum. Behav..

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

[13]  Vinayak Dixit,et al.  Understanding the Impact of a Recent Hurricane on Mobilization Time during a Subsequent Hurricane , 2008 .

[14]  Satish V. Ukkusuri,et al.  A random-parameter hazard-based model to understand household evacuation timing behavior , 2013 .

[15]  Ronald W. Perry,et al.  Evacuation Decision-Making in Natural Disasters , 1979 .

[16]  Robert N. Stern,et al.  Informal Networks and Organizational Crises: An Experimental Simulation , 1988 .

[17]  H. Timmermans,et al.  Size and Composition of Ego-Centered Social Networks and Their Effect on Geographic Distance and Contact Frequency , 2009 .

[18]  K. Axhausen,et al.  Collecting data on leisure travel: The link between leisure contacts and social interactions , 2010 .

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

[20]  D. McFadden,et al.  MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .

[21]  Caroline Haythornthwaite,et al.  Social networks and Internet connectivity effects , 2005 .

[22]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[23]  Pamela Murray-Tuite,et al.  An agent-based modeling system for travel demand simulation for hurricane evacuation , 2014 .

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

[25]  Shih-Kai Huang,et al.  Households' immediate Responses to the 2009 American Samoa Earthquake and Tsunami , 2015 .

[26]  K. Train,et al.  Mixed Logit with Repeated Choices: Households' Choices of Appliance Efficiency Level , 1998, Review of Economics and Statistics.

[27]  Marc L. Levitan,et al.  National Review of Hurricane Evacuation Plans and Policies , 2001 .

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

[29]  Susan Bastani,et al.  Family comes first: Men's and women's personal networks in Tehran , 2007, Soc. Networks.

[30]  Satish V. Ukkusuri,et al.  A threshold model of social contagion process for evacuation decision making , 2011 .

[31]  Pamela Murray-Tuite,et al.  Hurricane Evacuation Route Choice of Major Bridges in Miami Beach, Florida , 2015 .

[32]  Eve Gruntfest,et al.  Information sources for flash flood warnings in Denver, CO and Austin, TX , 2007 .

[33]  Steven Stern,et al.  Simulation-based estimation , 1997 .

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

[35]  Chester G. Wilmot,et al.  Comparison of Alternative Trip Generation Models for Hurricane Evacuation , 2004 .

[36]  D. Keltner,et al.  How Emotions Work: The Social Functions of Emotional Expression in Negotiations , 2000 .

[37]  Kenneth E. Train,et al.  Discrete Choice Methods with Simulation , 2016 .

[38]  David M Abramson,et al.  Hurricane Sandy: Lessons Learned, Again , 2012, Disaster Medicine and Public Health Preparedness.

[39]  Chester G. Wilmot,et al.  Survival analysis-based dynamic travel demand models for hurricane evacuation , 2006 .

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

[41]  J. Halverson,et al.  Hurricane Sandy: The Science and Impacts of a Superstorm , 2013 .

[42]  Pamela Murray-Tuite,et al.  Analysis of hurricane evacuee mode choice behavior , 2014 .

[43]  D. McFadden,et al.  ESTIMATION BY SIMULATION , 1994 .

[44]  Pamela Murray-Tuite,et al.  Household-level model for hurricane evacuation destination type choice using hurricane Ivan data , 2013 .

[45]  Jeffrey Czajkowski,et al.  The Dynamics of Hurricane Risk Perception: Real-Time Evidence from the 2012 Atlantic Hurricane Season , 2014 .

[46]  Daniel McFadden,et al.  Sociality, Rationality, and the Ecology of Choice , 2009 .

[47]  Brian Wolshon,et al.  PLANNING FOR THE EVACUATION OF NEW ORLEANS , 2002 .

[48]  B. Wellman The Community Question: The Intimate Networks of East Yorkers , 1979, American Journal of Sociology.

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

[50]  Devajyoti Deka,et al.  Analyzing Evacuation Behavior of Transportation-Disadvantaged Populations in Northern New Jersey , 2010 .

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

[52]  Satish V. Ukkusuri,et al.  Modeling Social Network Influence on Joint Trip Frequency for Regular Activity Travel Decisions , 2015 .

[53]  Pamela Murray-Tuite,et al.  Changes in Evacuation Decisions between Hurricanes Ivan and Katrina , 2012 .

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

[55]  M. McPherson,et al.  Birds of a Feather: Homophily in Social Networks , 2001 .

[56]  Walter Gillis Peacock,et al.  Social Science Research Needs for the Hurricane Forecast and Warning System , 2007 .

[57]  Ronald S. Burt,et al.  Network items and the general social survey , 1984 .