Skip to main content
Intended for healthcare professionals
Restricted access
Research article
First published online January 1, 2012

Changes in Evacuation Decisions between Hurricanes Ivan and Katrina

Abstract

Hurricanes cause some of the worst traffic conditions, affecting evacuees’ ability to reach safety before they are subjected to high winds, heavy rain, and flooding. This paper is one of the few to use a panel survey to examine similar household decisions over consecutive hurricanes. The study focuses on Hurricanes Ivan and Katrina, which were of similar strength and followed similar paths, and is fairly comprehensive in the number of traffic-related decisions considered. Contingency tables, binary logit models, and Goodman and Kruskal's gamma measure were used to examine the effects of previous decisions on (a) whether to evacuate, (b) day of departure, (c) destination type and location, (d) number of household vehicles taken, and (e) reason for route selection. Through the statistical analyses, it was discovered that (a) to a great extent, citizens made the same decision to evacuate or stay for Katrina as they did for Ivan, and higher incomes were not significant in changing that decision; (b) some evacuees departed earlier, but most evacuees departed on the last day possible; (c) most evacuees selected the same type of accommodations and made the same inside-the-county-or-parish or out-of-the-county-or-parish decisions in consecutive evacuations; (d) the number of household vehicles used in the evacuation did not decrease; and (e) route guidance as a selection criterion did not depend on previous evacuation experience.

Get full access to this article

View all access and purchase options for this article.

References

1. Hurricane Ivan Post-Storm Transportation Analysis. U.S. Army Corps of Engineers, 2005. http://www.iwr.usace.army.mil/nhp/PSA/Hurricane-Ivan2004/Ivan_Transportation.pdf.
2. Dow K., and Cutter S.L. Crying Wolf: Repeat Responses to Hurricane Evacuation Orders. Coastal Management, Vol. 26, No. 4, 1998, pp. 237–252.
3. Baker E. J. Hurricane Evacuation Behavior. International Journal of Mass Emergencies and Disasters, Vol. 9, No. 2, 1991, pp. 287–310.
4. Lindell M.K., Lu J.-C., and Prater C. S. Household Decision Making and Evacuation in Response to Hurricane Lili. Natural Hazards Review, Vol. 6, No. 4, 2005, pp. 171–179.
5. Riad J.K., Norris F. H., and Ruback R. B. Predicting Evacuation in Two Major Disasters: Risk Perception, Social Influence, and Access to Resources. Journal of Applied Social Psychology, Vol. 29, No. 5, 1999, pp. 918–934.
6. Solís D., Thomas M., and Letson D. An Empirical Evaluation of the Determinants of Household Hurricane Evacuation Choice. Journal of Development and Agricultural Economics, Vol. 2, No. 3, 2010, pp. 188–196.
7. Whitehead J.C., Edwards B., Van Willigen M., Maiolo J. R., Wilson K., and Smith K.T. Heading for Higher Ground: Factors Affecting Real and Hypothetical Hurricane Evacuation Behavior. Environmental Hazards, Vol. 2, No. 4, 2000, pp. 133–142.
8. Gladwin C.H., Gladwin H., and Peacock W.G. Modeling Hurricane Evacuation Decisions with Ethnographic Methods. International Journal of Mass Emergencies and Disasters, Vol. 19, No. 1, 2001, pp. 117–144.
9. Wilmot C.G., and Mei B. Comparison of Alternative Trip Generation Models for Hurricane Evacuation. Natural Hazards Review, Vol. 5, No. 4, 2004, pp. 170–178.
10. Elliott J.R., and Pais J. Race, Class, and Hurricane Katrina: Social Differences in Human Responses to Disaster. Social Science Research, Vol. 35, No. 2, 2006, pp. 295–321.
11. Bateman J.M., and Edwards B. Gender and Evacuation: A Closer Look at Why Women Are More Likely to Evacuate for Hurricanes. Natural Hazards Review, Vol. 3, No. 3, 2002, pp. 107–117.
12. Gladwin H., and Peacock W.G. Warning and Evacuation: A Night for Hard Houses. In Hurricane Andrew: Ethnicity, Gender, and the Sociology of Disasters (Peacock W. G., Morrow B. H., and Gladwin H., eds.), International Hurricane Center, Miami, Fla., 1997, pp. 52–72.
13. Dash N., and Gladwin H. Evacuation Decision Making and Behavioral Responses: Individual and Household. Natural Hazards Review, Vol. 8, No. 3, 2007, pp. 69–77.
14. Perry R.W., and Lindell M.K. The Effects of Ethnicity on Evacuation Decision-Making. International Journal of Mass Emergencies and Disasters, Vol. 9, No. 1, 1991, pp. 47–68.
15. Dow K., and Cutter S.L. Emerging Hurricane Evacuation Issues: Hurricane Floyd and South Carolina. Natural Hazards Review, Vol. 3, No. 1, 2002, pp. 12–18.
16. Fu H., and Wilmot C.G. Sequential Logit Dynamic Travel Demand Model for Hurricane Evacuation. In Transportation Research Record: Journal of the Transportation Research Board, No. 1882, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 19–26.
17. Fu H., and Wilmot C.G. Survival Analysis–Based Dynamic Travel Demand Models for Hurricane Evacuation. In Transportation Research Record: Journal of the Transportation Research Board, No. 1964, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 211–218.
18. Lindell M.K., and Prater C.S. Critical Behavioral Assumptions in Evacuation Time Estimate Analysis for Private Vehicles: Examples from Hurricane Research and Planning. Journal of Urban Planning and Development, Vol. 133, No. 1, 2007, pp. 18–29.
19. Sorensen J. H. When Shall We Leave? Factors Affecting the Timing of Evacuation Departures. International Journal of Mass Emergencies and Disasters, Vol. 9, No. 2, 1991, pp. 153–166.
20. Drabek T.E., and Boggs K.S. Families in Disaster: Reactions and Relatives. Journal of Marriage and the Family, Vol. 30, No. 3, 1968, pp. 443–451.
21. Moore H.E., Bates F. L., Layman M.V., and Parenton V.J. Before the Wind: A Study of the Response to Hurricane Carla. National Academy of Sciences–National Research Council, Washington, D.C., 1963.
22. Chen B. Modeling Destination Choice in Hurricane Evacuation with an Intervening Opportunity Model. MS thesis. Louisiana State University, Baton Rouge, 2005.
23. U.S. Army Corps of Engineers. Mississippi Hurricane Evacuation Study. 2001. http://chps.sam.usace.army.mil/USHESdata/Mississippi/msreportpage.htm.
24. Mileti D.S., Sorensen J. H., and O'Brien P. W. Toward an Explanation of Mass Care Shelter Use in Evacuations. International Journal of Mass Emergencies and Disasters, Vol. 10, No. 1, 1992, pp. 25–42.
25. National Hurricane Center. Hurricane History. http://www.nhc.noaa.gov/HAW2/english/history.shtml. Accessed July 27, 2010.
26. Stewart S. R. Tropical Cyclone Report: Hurricane Ivan. www.nhc.noaa.gov/2004ivan.shtml. Accessed Dec. 10, 2009.
27. Morrow B., and Gladwin H. USACE/FEMA Behavioral Study: Hurricane Ivan. 2005. http://chps.sam.usace.army.mil/USHESdata/Assessments/2004Storms/2004_hurricane_season_page.htm.
28. Agresti A. Categorical Data Analysis. John Wiley & Sons, New York, 1990.
29. Hosmer D. W. Applied Logistic Regression. John Wiley & Sons, Hoboken, N.J., 2000.
30. Bendel R.B., and Afifi A.A. Comparison of Stopping Rules in Forward “Stepwise” Regression. Journal of the American Statistical Association, Vol. 72, No. 357, pp. 46–53.
31. Mickey R., and Greenland S. The Impact of Confounder Selection Criteria on Effect Estimation. American Journal of Epidemiology, Vol. 129, No. 1, 1989, pp. 125–137.
32. Royston P., and Altman D.G. Regression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling. Journal of the Royal Statistical Society Series C (Applied Statistics), Vol. 43, No. 3, 1994, pp. 429–467.
33. Sauerbrei W., Meier-Hirmer C., Benner A., and Royston P. Multi-variable Regression Model Building by Using Fractional Polynomials: Description of SAS, STATA and R Programs. Computational Statistics and Data Analysis, Vol. 50, No. 12, 2006, pp. 3464–3485.
34. Hasan S., Ukkusuri S., Gladwin H., and Murray-Tuite P. Behavioral Model to Understand Household-Level Hurricane Evacuation Decision Making. ASCE Journal of Transportation Engineering, Vol. 137, No. 5, May 2011, pp. 341–348.
35. Hasan S., Mesa-Arango R., Ukkusuri S., and Murray-Tuite P. Transferability of Hurricane Evacuation Choice Model: A Joint Model Estimation Combining Multiple Data Sources. ASCE Journal of Transportation Engineering, Volume 138, No. 5, May 2012, pp. 548–556. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000365.

Cite article

Cite article

Cite article

OR

Download to reference manager

If you have citation software installed, you can download article citation data to the citation manager of your choice

Share options

Share

Share this article

Share with email
EMAIL ARTICLE LINK
Share on social media

Share access to this article

Sharing links are not relevant where the article is open access and not available if you do not have a subscription.

For more information view the Sage Journals article sharing page.

Information, rights and permissions

Information

Published In

Article first published online: January 1, 2012
Issue published: January 2012

Rights and permissions

© 2012 National Academy of Sciences.
Request permissions for this article.

Authors

Affiliations

Pamela Murray-Tuite
Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, 7054 Haycock Road, Falls Church, VA 22043.
Weihao Yin
Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, 7054 Haycock Road, Falls Church, VA 22043.
Satish V. Ukkusuri
School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907.
Hugh Gladwin
Department of Sociology and Anthropology, Florida International University, 3000 Northeast 151st Street, North Miami, FL 33181.

Notes

Metrics and citations

Metrics

Journals metrics

This article was published in Transportation Research Record: Journal of the Transportation Research Board.

VIEW ALL JOURNAL METRICS

Article usage*

Total views and downloads: 239

*Article usage tracking started in December 2016


Altmetric

See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores



Articles citing this one

Receive email alerts when this article is cited

Web of Science: 0

Crossref: 66

  1. Differences in county-level cardiovascular disease mortality rates due...
    Go to citation Crossref Google Scholar
  2. Disruptions in Megaregional Network Evacuations: Identifying and Asses...
    Go to citation Crossref Google Scholar
  3. Effect of the Costa Resiliente serious game on community disaster resi...
    Go to citation Crossref Google Scholar
  4. Dual disasters: Seismic evacuation decision-making during COVID-19 loc...
    Go to citation Crossref Google Scholar
  5. Risk perception and travel behavior under short-lead evacuation: Post ...
    Go to citation Crossref Google Scholar
  6. Willingness of Hurricane Irma evacuees to share resources: a multi-mod...
    Go to citation Crossref Google Scholar
  7. Protection or Peril of Following the Crowd in a Pandemic-Concurrent Fl...
    Go to citation Crossref Google Scholar
  8. Individual and collective learning in groups facing danger
    Go to citation Crossref Google Scholar
  9. Effects of risk perception and perceived certainty on evacuate/stay de...
    Go to citation Crossref Google Scholar
  10. Modeling the impact of traffic management strategies on households' st...
    Go to citation Crossref Google Scholar
  11. Evacuation behavior of affected individuals and households in response...
    Go to citation Crossref Google Scholar
  12. Design and implementation of a relational model of risk communication
    Go to citation Crossref Google Scholar
  13. Modeling evacuation behavior of households affected by the eruption of...
    Go to citation Crossref Google Scholar
  14. Household Hurricane Evacuation Plan Adaptation in Response to Estimate...
    Go to citation Crossref Google Scholar
  15. Determinants of Departure Timing for Hurricane Matthew and Anticipated...
    Go to citation Crossref Google Scholar
  16. Understanding California wildfire evacuee behavior and joint choice ma...
    Go to citation Crossref Google Scholar
  17. Estimating hurricane evacuation destination and accommodation type sel...
    Go to citation Crossref Google Scholar
  18. Methodology to Quantify Statewide Evacuations
    Go to citation Crossref Google Scholar
  19. Spatiotemporal Analysis of Highway Traffic Patterns in Hurricane Irma ...
    Go to citation Crossref Google Scholar
  20. Taking the freeway: Inferring evacuee route selection from survey data
    Go to citation Crossref Google Scholar
  21. Predictive modelling of fuel shortages during hurricane evacuation: An...
    Go to citation Crossref Google Scholar
  22. Critical Time, Space, and Decision‐Making Agent Considerations in Huma...
    Go to citation Crossref Google Scholar
  23. Bridging the gap between evacuations and the sharing economy
    Go to citation Crossref Google Scholar
  24. Analyzing transportation network performance during emergency evacuati...
    Go to citation Crossref Google Scholar
  25. Evacuation decision-making and behavior in wildfires: Past research, c...
    Go to citation Crossref Google Scholar
  26. Review of social influence in crisis communications and evacuation dec...
    Go to citation Crossref Google Scholar
  27. Effects of regulatory frameworks in community resilience: Governance a...
    Go to citation Crossref Google Scholar
  28. Social Indicators to Inform Community Evacuation Modeling and Planning
    Go to citation Crossref Google Scholar
  29. Impacts of information from various sources on the evacuation decision...
    Go to citation Crossref Google Scholar
  30. A Revealed Preference Methodology to Evaluate Regret Minimization with...
    Go to citation Crossref Google Scholar
  31. Determinants of full and partial household evacuation decision making ...
    Go to citation Crossref Google Scholar
  32. Fleeing from Hurricane Irma: Empirical Analysis of Evacuation Behavior...
    Go to citation Crossref Google Scholar
  33. Estimating the Sequencing of Evacuation Destination and Accommodation ...
    Go to citation Crossref Google Scholar
  34. Computational Evacuation Modeling in Wildfires
    Go to citation Crossref Google Scholar
  35. Joint modeling of evacuation departure and travel times in hurricanes
    Go to citation Crossref Google Scholar
  36. Evacuation decision behavior for no-notice emergency events
    Go to citation Crossref Google Scholar
  37. Analysis of evacuation destination and departure time choices for no-n...
    Go to citation Crossref Google Scholar
  38. Managed gating control strategy for emergency evacuation
    Go to citation Crossref Google Scholar
  39. A Provisional Conceptual Model of Human Behavior in Response to Wildla...
    Go to citation Crossref Google Scholar
  40. Computational Evacuation Modeling in Wildfires
    Go to citation Crossref Google Scholar
  41. Kyne–Donner Model of Authority’s Recommendation and Hurricane Evacuati...
    Go to citation Crossref Google Scholar
  42. Factors Contributing to Disaster Evacuation: The Case of South Korea
    Go to citation Crossref Google Scholar
  43. Is storm surge scary? The influence of hazard, impact, and fear-based ...
    Go to citation Crossref Google Scholar
  44. Modeling joint evacuation decisions in social networks: The case of Hu...
    Go to citation Crossref Google Scholar
  45. “It's Not Where I'd be Running like an Idiot for a Small One:” Hurrica...
    Go to citation Crossref Google Scholar
  46. The Role of Social Networks and Information Sources on Hurricane Evacu...
    Go to citation Crossref Google Scholar
  47. Evacuation from Natural Disasters: A Systematic Review of the Literatu...
    Go to citation Crossref Google Scholar
  48. Optimization of the issuance of evacuation orders under evolving hurri...
    Go to citation Crossref Google Scholar
  49. Hurricane evacuation demand models with a focus on use for prediction ...
    Go to citation Crossref Google Scholar
  50. A mixed method study of hurricane evacuation: demographic predictors f...
    Go to citation Crossref Google Scholar
  51. Modeling Shadow Evacuation for Hurricanes with Random-Parameter Logit ...
    Go to citation Crossref Google Scholar
  52. Effects of Hurricanes Irene and Sandy in New Jersey: traffic patterns ...
    Go to citation Crossref Google Scholar
  53. Exploring association between perceived importance of travel/traffic i...
    Go to citation Crossref Google Scholar
  54. Agent-Based Evacuation Model considering Field Effects and Government ...
    Go to citation Crossref Google Scholar
  55. Selecting Four-Leg Intersections for Crossing Elimination in Evacuatio...
    Go to citation Crossref Google Scholar
  56. Hurricane Evacuation Route Choice of Major Bridges in Miami Beach, Flo...
    Go to citation Crossref Google Scholar
  57. Improving Storm Surge Risk Communication: Stakeholder Perspectives
    Go to citation Crossref Google Scholar
  58. Statistical Analysis of the Number of Household Vehicles Used for Hurr...
    Go to citation Crossref Google Scholar
  59. Analysis of hurricane evacuee mode choice behavior
    Go to citation Crossref Google Scholar
  60. An agent-based modeling system for travel demand simulation for hurric...
    Go to citation Crossref Google Scholar
  61. How to Evacuate: Model for Understanding the Routing Strategies during...
    Go to citation Crossref Google Scholar
  62. Interdisciplinary Approach to Evacuation Modeling
    Go to citation Crossref Google Scholar
  63. A random parameter ordered probit model to understand the mobilization...
    Go to citation Crossref Google Scholar
  64. Evacuation transportation modeling: An overview of research, developme...
    Go to citation Crossref Google Scholar
  65. Empirical Evacuation Response Curve during Hurricane Irene in Cape May...
    Go to citation Crossref Google Scholar
  66. No-Notice Evacuation Management...
    Go to citation Crossref Google Scholar

Figures and tables

Figures & Media

Tables

View Options

Get access

Access options

If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:


Alternatively, view purchase options below:

Purchase 24 hour online access to view and download content.

Access journal content via a DeepDyve subscription or find out more about this option.

View options

PDF/ePub

View PDF/ePub