Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-17T17:19:43.808Z Has data issue: false hasContentIssue false
  • English
  • Français

Factors Associated with Hurricane Evacuation: A Statistical Meta-Analysis of Studies, 1999-2018

Published online by Cambridge University Press:  13 April 2021

Ibraheem M Karaye Open the ORCID record for Ibraheem M Karaye [Opens in a new window] ,
Nicholas Taylor ,
Maria Perez-Patron ,
Courtney Thompson  and
Jennifer A Horney Open the ORCID record for Jennifer A Horney [Opens in a new window]
Ibraheem M Karaye*
Affiliation:
Department of Health Professions, Hofstra University, Hempstead, NY, USA
Nicholas Taylor
Affiliation:
Department of Epidemiology and Biostatistics, Texas A&M University, College Station, TX, USA
Maria Perez-Patron
Affiliation:
Department of Epidemiology and Biostatistics, Texas A&M University, College Station, TX, USA
Courtney Thompson
Affiliation:
Department of Geography, Texas A&M University, College Station, TX, USA
Jennifer A Horney
Affiliation:
Program in Epidemiology, University of Delaware, Newark, DE, USA
*
Corresponding author: Ibraheem M Karaye, Email: [email protected].
Get access Rights & Permissions [Opens in a new window]

Abstract

Objective:

Hurricane evacuation is one of the strategies employed by emergency management and other agencies to reduce morbidity and mortality associated with hurricanes. However, factors associated with residents’ evacuation decision-making have been inconsistent. In this study, we conducted a statistical meta-analysis to identify factors associated with hurricane evacuation as well as moderators of the evacuation decision.

Methods:

A systematic literature search identified 36 studies published between 1999 and 2018. Pooled estimates were calculated using random-effects models, and heterogeneity across studies was checked using both Q and I2 statistics. Meta-regression methods were used to identify moderators. Publication bias was assessed using both visual (funnel plots) and statistical methods.

Results:

Mobile home residence, perception of risk, female sex, and Hispanic ethnicity were statistically associated with hurricane evacuation, while geographic region modified the relationship between Hispanic race and evacuation.

Conclusions:

Agencies responsible for preparedness may utilize these findings to identify specific population sub-groups for hurricane evacuation communication and other interventions. Future studies should consider statistical interactions and explore opportunities for research translation to emergency officials.

Keywords

hurricaneevacuationdeterminantsdisaster
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 16 , Issue 3 , June 2022 , pp. 1064 - 1072
Copyright
© Society for Disaster Medicine and Public Health, Inc. 2021

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Huang, S-K, Lindell, MK, Prater, CS. Who leaves and who stays? A review and statistical meta-analysis of hurricane evacuation studies. Environment and Behavior. 2016;48(8):991–1029.CrossRefGoogle Scholar
Baker, EJ. Hurricane evacuation behavior. IJMED.1991;9(2):287–310.Google Scholar
Peacock, WG, Morrow, BH, Gladwin, H. Hurricane Andrew: Ethnicity, gender and the sociology of disasters. London, New York: Routledge; 1997:52–73.Google Scholar
Dow, K, Cutter, SL. “Crying Wolf: Repeat responses to hurricane evacuation orders.” Coastal Management. 1998;26:237–252.CrossRefGoogle Scholar
Quarantelli, EL. Evacuation Behavior and Problems: Findings and Implications from the Research Literature. Ohio State Univ Columbus Disaster Research Center; 1980.Google Scholar
Horney, JA, MacDonald, PD, Willigen, M, Kaufman, JS. The importance of effect measure modification when using demographic variables to predict evacuation. RHCPP. 2012;3(1):1–19.Google Scholar
Horney, JA, Macdonald, PD, Van Willigen, M, Berke, PR, Kaufman, JS. Individual actual or perceived property flood risk: Did it predict evacuation from Hurricane Isabel in North Carolina, 2003? Risk Anal. 2010;30(3):501–511.CrossRefGoogle ScholarPubMed
Huang, SK, Lindell, MK, Prater, CS, Wu, HC, Siebeneck, LK. Household evacuation decision making in response to Hurricane Ike. Nat Hazards Review. 2012;13(4):283–296.Google Scholar
Noltenius, MS. Capturing pre-evacuation trips and associative delays: A case study of the evacuation of Key West Florida for Hurricane Wilma. Perception, social influence, and access to resources [dissertation]. University of Tennessee, Knoxville; 2008.Google Scholar
Ng, M, Diaz, R, Behr, J. Inter-and intra-regional evacuation behavior during Hurricane Irene. Travel Behav Soc. 2016;3:21–28.CrossRefGoogle Scholar
Elliott, JR, Pais, J. Race, class, and Hurricane Katrina: Social differences in human responses to disaster. Soc Sci Res. 2006;35(2):295–321.CrossRefGoogle Scholar
Willigen, VM, Edwards, B, Lormand, S, Wilson, K. Comparative assessment of impacts and recovery from Hurricane Floyd among student and community households. Nat Hazards Review. 2005;6(4):180–190.CrossRefGoogle Scholar
Whitehead, JC, Edwards, B, Willigen, VM, Maiolo, JR, Wilson, K, Smith, KT. Heading for higher ground: Factors affecting real and hypothetical hurricane evacuation behavior. Global Environmental Change Part B: Environ Hazards. 2000;2(4):133–142.CrossRefGoogle Scholar
Smith, SK, McCarty, C. Fleeing the storm(s): An examination of evacuation behavior during Florida’s 2004 hurricane season. Demography. 2009;46(1):127–145.CrossRefGoogle Scholar
Stein, RM, Dueñas-Osorio, L, Subramanian, D. Who evacuates when hurricanes approach? The role of risk, information, and location. Soc Sci Q. 2010;91(3):816–834.CrossRefGoogle ScholarPubMed
Peacock, WG, Brody, SD, Highfield, W. Hurricane risk perceptions among Florida’s single-family homeowners. Landsc Urban Plan. 2004;83:120–135.Google Scholar
Fothergill, A, Maestas, EGM, Darlington, JD. Race, ethnicity and disasters in the United States: A review of the literature. Disasters. 1999;23(2):156–173.CrossRefGoogle ScholarPubMed
Riad, JK, Norris, FH, Ruback, RB. Predicting evacuation in two major disasters: Risk perception, social influence, and access to resources. J Appl Soc Psychol. 1999;29(5): 918–934.CrossRefGoogle Scholar
Bateman, JM, Edwards, B. Gender and evacuation: A closer look at why women are more likely to evacuate for hurricanes. Nat Hazards Review. 2002;3(3):107–117.CrossRefGoogle Scholar
DeYoung, SE, Wachtendorf, T, Farmer, AK, Penta, SC. NOAA radios and neighborhood networks: Demographic factors for channel preference for hurricane evacuation information. J Contingencies Crisis Manag. 2016;24(4):275–285.CrossRefGoogle Scholar
van Houwelingen, HC, Arends, LR, Stijnen, T. Advanced methods in meta-analysis: Multivariate approach and meta-regression. Stat Med. 2002;21(4):589–624.CrossRefGoogle ScholarPubMed
Greenland, S. Interactions in epidemiology: Relevance, identification, and estimation. Epidemiology. 2009;20(1):14–17.CrossRefGoogle ScholarPubMed
Blair, A, Burg, J, Foran, J, et al. Guidelines for application of meta-analysis in environmental epidemiology. ISLI Risk Science Institute. Regul Toxicol Pharmacol. 1995;22(2):189–197.CrossRefGoogle ScholarPubMed
Field, AP, Gillett, R. How to do a meta-analysis. Br J Math Stat Psychol. 2010;63(Pt 3):665–694.CrossRefGoogle Scholar
Cohen, J. A power primer. Psychol Bull. 1992;112(1):155–159.CrossRefGoogle ScholarPubMed
Mileti, DS, Peek, L. The social psychology of public response to warnings of a nuclear power plant accident. J Hazard Mater. 2000;75(2-3):181–194.CrossRefGoogle ScholarPubMed
Mileti, DS, Sorensen, JH. Communication of Emergency public Warnings: A Social Science Perspective and State-of-the-art Assessment (No. ORNL-6609). Oak Ridge National Lab., TN (USA); 1990.CrossRefGoogle Scholar
Sorensen, JH, Sorensen, BV. Community processes: warning and evacuation. In: Handbook of Disaster Research. New York, NY: Springer, NY; 2007:183–199.CrossRefGoogle Scholar
Davidson, DJ, Freudenburg, WR. Gender and Environmental Risk Concerns: A Review and Analysis of Available Research. Environment and Behavior. 1996;28(3):302–339.CrossRefGoogle Scholar
U.S. Census Bureau. The nation’s population is becoming more diverse: 2017. https://www.census.gov/newsroom/press-releases/2017/cb17-100.html. Accessed February 5, 2019.Google Scholar
Passel, J, Cohn D. U.S. Population Projections 2005–2050. Washington, DC: Pew Research Center’s Pew Hispanic Center; 2010.Google Scholar
U.S. Census Bureau. Statistical abstract of the United States: 2009. https://www.census.gov/library/publications/2009/compendia/statab/129ed.html. Accessed February 5, 2019.Google Scholar
Bustamante, AV, Fang, H, Rizzo, JA, Ortega, AN. Heterogeneity in health insurance coverage among US Latino adults. J Gen Intern Med. 2009;24 Suppl 3(Suppl 3):561–566.Google Scholar
Zsembik, BA, Fennell, D. Ethnic variation in health and the determinants of health among Latinos. Soc Sci Med. 2005;61(1):53–63.Google ScholarPubMed
Borrell, LN, Crawford, ND. All-cause mortality among Hispanics in the United States: Exploring heterogeneity by nativity status, country of origin, and race in the National Health Interview Survey-linked Mortality Files. Ann Epidemiol. 2009;19(5):336–343.Google ScholarPubMed
Sánchez-Meca, J, Marín-Martínez, F. Homogeneity tests in meta-analysis: A Monte Carlo Comparison of Statistical Power and Type I Error. Quality and Quantity. 1997;31(4):385–399.CrossRefGoogle Scholar
Supplementary material: File

Karaye et al. supplementary material

Karaye et al. supplementary material 1

Download Karaye et al. supplementary material(File)
File 15.7 KB
Supplementary material: File

Karaye et al. supplementary material

Karaye et al. supplementary material 2

Download Karaye et al. supplementary material(File)
File 18.8 KB