Technical Papers
Feb 29, 2024

Relocation and Social Support during Large-Scale Evacuations

Publication: Natural Hazards Review
Volume 25, Issue 2

Abstract

Evacuations require people to leave their homes and seek temporary accommodations for varying lengths of time. However, although studies of evacuation and return-entry examine travel to and from short-term evacuation destinations, prior work overlooks relocations from one destination to another during long-term evacuations. In this study we use novel spatial-social network data from a household mail survey administered in three US regions (Akron, OH, Philadelphia, PA, and State College, PA) to examine people’s decisions to relocate from short-term to long-term evacuation destinations. To understand these decisions, we used a CatBoost classification algorithm to examine the significance of demographic and evacuation-related factors, including social support from family and friends at evacuation and relocation destinations, that affect relocation decision-making during evacuations lasting up to two months. We find that a majority of respondents plan to remain at a single destination during a long-term evacuation and tend to receive support, such as accommodations, from family and friends at these destinations. In contrast, respondents who plan to relocate tend to lack support from family and friends at long-term destinations. While relocation decisions are influenced by multiple factors, travel to remote evacuation destinations and lack of social support at these destinations have the greatest influence on relocation decision-making. In contrast, no demographic attributes show statistically significant correlation with relocation decisions. By revealing evacuees’ intended short- and long-term evacuation and relocation destinations, and social support available to evacuees at these locations, the study’s findings offer implications for the strategic management of large-scale evacuation and return-entry processes.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

References

Adeola, F. O., and J. S. Picou. 2017. “Hurricane Katrina-linked environmental injustice: Race, class, and place differentials in attitudes.” Disasters 41 (2): 228–257. https://doi.org/10.1111/disa.12204.
Asfaw, H. W., T. McGee, and A. C. Christianson. 2019. “The role of social support and place attachment during hazard evacuation: The case of Sandy Lake First Nation, Canada.” Environ. Hazards 18 (4): 361–381. https://doi.org/10.1080/17477891.2019.1608147.
Baker, E. J. 1991. “Hurricane evacuation behavior.” Int. J. Mass Emerg. Disasters 9 (2): 287–310. https://doi.org/10.1177/028072709100900210.
Baker, E. J. 1997. Hurricanes Bertha and Fran in North and South Carolina: Evacuation behavior and attitudes toward mitigation. Tallahassee, FL: Hazards Management Group.
Bolin, B., and L. C. Kurtz. 2018. “Race, class, ethnicity, and disaster vulnerability.” In Handbook of disaster research, 181–203. Cham, Switzerland: Springer.
Collins, J., R. Ersing, A. Polen, M. Saunders, and J. Senkbeil. 2018. “The effects of social connections on evacuation decision making during hurricane Irma.” Weather Clim. Soc. 10 (3): 459–469. https://doi.org/10.1175/WCAS-D-17-0119.1.
Côté, M., M. A. Osseni, D. Brassard, É. Carbonneau, J. Robitaille, M.-C. Vohl, S. Lemieux, F. Laviolette, and B. Lamarche. 2022. “Are machine learning algorithms more accurate in predicting vegetable and fruit consumption than traditional statistical models? An exploratory analysis.” Front. Nutr. 9 (Feb): 740898. https://doi.org/10.3389/fnut.2022.740898.
Dash, N., and B. H. Morrow. 2000. “Return delays and evacuation order compliance: The case of Hurricane Georges and the Florida Keys.” Global Environ. Change Part B: Environ. Hazards 2 (3): 119–128. https://doi.org/10.1016/S1464-2867(01)00008-0.
Do, X. B. 2019. “Fukushima nuclear disaster displacement: How far people moved and determinants of evacuation destinations.” Int. J. Disaster Risk Reduct. 33 (Feb): 235–252. https://doi.org/10.1016/j.ijdrr.2018.10.009.
Dostal, P. J. 2015. “Vulnerability of urban homebound older adults in disasters: A survey of evacuation preparedness.” Disaster Med. Public Health Preparedness 9 (3): 301–306. https://doi.org/10.1017/dmp.2015.50.
Dow, K., and S. L. Cutter. 2002. “Emerging hurricane evacuation issues: Hurricane Floyd and South Carolina.” Nat. Hazard. Rev. 3 (1): 12–18. https://doi.org/10.1061/(ASCE)1527-6988(2002)3:1(12).
Drabek, T. E., and K. S. Boggs. 1968. “Families in disaster: Reactions and relatives.” J. Marriage Family 30 (3): 443–451. https://doi.org/10.2307/349914.
Flynn, C. B. 1979. Vol. 1093 of Three Mile Island telephone survey: Preliminary report on procedures and findings. Tempe, AZ: Mountain West Research.
Golshani, N., R. Shabanpour, A. Mohammadian, J. Auld, and H. Ley. 2019. “Analysis of evacuation destination and departure time choices for no-notice emergency events.” Transportmetrica A: Transp. Sci. 15 (2): 896–914. https://doi.org/10.1080/23249935.2018.1546778.
Howard, A., K. Agllias, M. Bevis, and T. Blakemore. 2017. “‘They’ll tell us when to evacuate’: The experiences and expectations of disaster-related communication in vulnerable groups.” Int. J. Disaster Risk Reduct. 22 (Jun): 139–146. https://doi.org/10.1016/j.ijdrr.2017.03.002.
Huang, S.-K., M. K. Lindell, and C. S. Prater. 2016. “Who leaves and who stays? A review and statistical meta-analysis of hurricane evacuation studies.” Environ. Behav. 48 (8): 991–1029. https://doi.org/10.1177/0013916515578485.
Huang, S.-K., M. K. Lindell, and C. S. Prater. 2017. “Multistage model of hurricane evacuation decision: Empirical study of Hurricanes Katrina and Rita.” Nat. Hazard. Rev. 18 (3): 05016008. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000237.
Huang, S.-K., M. K. Lindell, C. S. Prater, H.-C. Wu, and L. K. Siebeneck. 2012. “Household evacuation decision making in response to Hurricane Ike.” Nat. Hazard. Rev. 13 (4): 283–296. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000074.
Kang, J. E., M. K. Lindell, and C. S. Prater. 2007. “Hurricane evacuation expectations and actual behavior in Hurricane Lili.” J. Appl. Social Psychol. 37 (4): 887–903. https://doi.org/10.1111/j.1559-1816.2007.00191.x.
Kuligowski, E. 2021. “Evacuation decision-making and behavior in wildfires: Past research, current challenges and a future research agenda.” Fire Saf. J. 120 (Mar): 103129. https://doi.org/10.1016/j.firesaf.2020.103129.
Laska, S., and B. H. Morrow. 2006. “Social vulnerabilities and Hurricane Katrina: An unnatural disaster in New Orleans.” Mar. Technol. Soc. J. 40 (4): 16–26. https://doi.org/10.4031/002533206787353123.
Liang, X., S. Lee, C. Andris, H. Chen, and B. de la Pena. 2020. “Demographic and behavioral characteristics of individuals with global, local or local connectivity patterns.” In Proc., 67th North American Meetings of the Regional Science Association Int. (NARSC ’20) (Virtual Conf.). Reston, VA: North American Regional Science Council.
Lindell, M. K. 2013. “Evacuation planning, analysis, and management.” In Handbook of emergency response: A human factors and systems engineering approach, 121–149. Boca Raton, FL: CRC Press.
Lindell, M. K. 2018. “Communicating imminent risk.” In Handbook of disaster research, 449–477. Cham, Switzerland: Springer.
Lindell, M. K., J. E. Kang, and C. S. Prater. 2011. “The logistics of household hurricane evacuation.” Nat. Hazards 58 (3): 1093–1109. https://doi.org/10.1007/s11069-011-9715-x.
Lindell, M. K., and C. S. Prater. 2007. “Critical behavioral assumptions in evacuation time estimate analysis for private vehicles: Examples from hurricane research and planning.” J. Urban Plann. Dev. 133 (1): 18–29. https://doi.org/10.1061/(ASCE)0733-9488(2007)133:1(18).
Ling, L., P. Murray-Tuite, S. Lee, Y. G. Ge, and S. V. Ukkusuri. 2021. “Role of uncertainty and social networks on shadow evacuation and non-compliance behavior in hurricanes.” Transp. Res. Rec. 2675 (3): 53–64. https://doi.org/10.1177/0361198120962801.
Martín, Y., S. L. Cutter, and Z. Li. 2020. “Bridging twitter and survey data for evacuation assessment of Hurricane Matthew and Hurricane Irma.” Nat. Hazard. Rev. 21 (2): 04020003. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000354.
McDonnell, S. 2020. “Fiery tanker-car crash prompts evacuations, closes Route 8 in Akron.” Accessed December 15, 2022. https://www.beaconjournal.com/story/news/local/2020/08/25/fiery-tanker-car-crash-prompts-evacuations-closes-route-8-in-akron/113489364/.
Melvin, C. 1989. “Tanker cars explode; thousands evacuated.” Accessed December 16, 2022. https://apnews.com/article/d3de10d75bd9e1f6fc2c2aa9d5607843.
Mesa-Arango, R., S. Hasan, S. V. Ukkusuri, and P. Murray-Tuite. 2013. “Household-level model for hurricane evacuation destination type choice using Hurricane Ivan data.” Nat. Hazard. Rev. 14 (1): 11–20. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000083.
Metaxa-Kakavouli, D., P. Maas, and D. P. Aldrich. 2018. “How social ties influence hurricane evacuation behavior.” Proc. ACM Human-Comput. Interaction 2 (CSCW): 1–16. https://doi.org/10.1145/3274391.
Mitchell, B. D., M. A. Meyer, M. Henderson, B. H. Morrow, H. Gladwin, J. C. Smith, K. Breen, and R. Iles. 2017. Behavioral analysis for southeast Louisiana hurricane events. Baton Rouge, LA: Stephenson Disaster Management Institute, Dewberry, and USACE.
Morrow, B., and H. Gladwin. 2005. Hurricane Ivan behavioral analysis. Washington, DC: FEMA and USACE.
Murray-Tuite, P., and B. Wolshon. 2013. “Evacuation transportation modeling: An overview of research, development, and practice.” Transp. Res. Part C: Emerging Technol. 27 (Feb): 25–45. https://doi.org/10.1016/j.trc.2012.11.005.
Na, H. S., and A. Banerjee. 2015. “A disaster evacuation network model for transporting multiple priority evacuees.” IIE Trans. 47 (11): 1287–1299. https://doi.org/10.1080/0740817X.2015.1040929.
Na, H. S., and A. Banerjee. 2019. “Agent-based discrete-event simulation model for no-notice natural disaster evacuation planning.” Comput. Ind. Eng. 129 (Mar): 44–55. https://doi.org/10.1016/j.cie.2019.01.022.
Na, H. S., and R. Grace. 2022. “Influence of social networks and opportunities for social support on evacuation destination decision-making.” Saf. Sci. 147 (Mar): 105564. https://doi.org/10.1016/j.ssci.2021.105564.
Ohba, T., K. Tanigawa, and L. Liutsko. 2021. “Evacuation after a nuclear accident: Critical reviews of past nuclear accidents and proposal for future planning.” Environ. Int. 148 (Mar): 106379. https://doi.org/10.1016/j.envint.2021.106379.
Perry, R. W. 1979. “Evacuation decision-making in natural disasters.” Mass Emergencies 4 (1): 25–38.
Prokhorenkova, L., G. Gusev, A. Vorobev, A. V. Dorogush, and A. Gulin. 2018. “Catboost: Unbiased boosting with categorical features.” Adv. Neural Inf. Process. Syst. 31: 1–11.
Quarantelli, E. L. 1985. “Social support systems: Some behavioral patterns in the context of mass evacuation activities.” Disasters Mental Health: Selected Contemp. Perspect. 178: 122–136.
Quarantelli, E. L. 1995. “Patterns of sheltering and housing in US disasters.” Disaster Prevent. Manage. Int. J. 4 (3): 43–53. https://doi.org/10.1108/09653569510088069.
Rajula, H. S. R., G. Verlato, M. Manchia, N. Antonucci, and V. Fanos. 2020. “Comparison of conventional statistical methods with machine learning in medicine: Diagnosis, drug development, and treatment.” Medicina 56 (9): 455. https://doi.org/10.3390/medicina56090455.
Riad, J. K., F. H. Norris, and R. B. Ruback. 1999. “Predicting evacuation in two major disasters: Risk perception, social influence, and access to resources.” J. Appl. Soc. Psychol. 29 (5): 918–934. https://doi.org/10.1111/j.1559-1816.1999.tb00132.x.
Sadri, A. M., S. V. Ukkusuri, and H. Gladwin. 2017. “The role of social networks and information sources on hurricane evacuation decision making.” Nat. Hazard. Rev. 18 (3): 04017005. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000244.
Siebeneck, L., R. Schumann, B.-J. Kuenanz, S. Lee, B. C. Benedict, C. M. Jarvis, and S. V. Ukkusuri. 2020. “Returning home after Superstorm Sandy: Phases in the return-entry process.” Nat. Hazards 101 (1): 195–215. https://doi.org/10.1007/s11069-020-03869-1.
Siebeneck, L. K., and T. J. Cova. 2008. “An assessment of the return-entry process of Hurricane Rita 2005.” Int. J. Mass Emerg. Disasters 26 (2): 91–111. https://doi.org/10.1177/028072700802600202.
Siebeneck, L. K., and T. J. Cova. 2012. “Spatial and temporal variation in evacuee risk perception throughout the evacuation and return-entry process.” Risk Anal. Int. J. 32 (9): 1468–1480. https://doi.org/10.1111/j.1539-6924.2011.01781.x.
Siebeneck, L. K., and T. J. Cova. 2014. “Risk communication after disaster: Return entry following the 2008 Cedar River flood.” Nat. Hazard. Rev. 15 (2): 158–166. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000126.
Siebeneck, L. K., and T. J. Cova. 2021. “The disaster return-entry process: A discussion of issues, strategies and future research.” Disaster Prevent. Manage. Int. J. 30 (3): 369–383. https://doi.org/10.1108/DPM-07-2020-0243.
Siebeneck, L. K., M. K. Lindell, C. S. Prater, H.-C. Wu, and S.-K. Huang. 2013. “Evacuees’ reentry concerns and experiences in the aftermath of Hurricane Ike.” Nat. Hazards 65 (3): 2267–2286. https://doi.org/10.1007/s11069-012-0474-0.
Smith, S. K., and C. McCarty. 2009. “Fleeing the storm(s): An examination of evacuation behavior during Florida’s 2004 hurricane season.” Demography 46 (1): 127–145. https://doi.org/10.1353/dem.0.0048.
Stallings, R. A. 1991. “Ending evacuations.” Int. J. Mass Emerg. Disasters 9 (2): 183–200. https://doi.org/10.1177/028072709100900205.
Suppasri, A., E. Maly, M. Kitamura, G. Pescaroli, D. Alexander, and F. Imamura. 2021. “Cascading disasters triggered by tsunami hazards: A perspective for critical infrastructure resilience and disaster risk reduction.” Int. J. Disaster Risk Reduct. 66 (Dec): 102597. https://doi.org/10.1016/j.ijdrr.2021.102597.
Thompson, R. R., D. R. Garfin, and R. C. Silver. 2017. “Evacuation from natural disasters: A systematic review of the literature.” Risk Anal. 37 (4): 812–839. https://doi.org/10.1111/risa.12654.
US Census Bureau. 2018. “Explore census data: Learn about America’s people, places, and economy.” Accessed November 10, 2022. https://data.census.gov/.
US Census Bureau. 2019. “Quickfacts: Centre County, Pennsylvania; Portage County, Ohio; Summit County, Ohio; Philadelphia County, Pennsylvania.” Accessed December 9, 2022. https://www.census.gov/quickfacts/fact/table/centrecountypennsylvania,portagecounty-ohio,summitcountyohio,philadelphia,countypennsylvania/PST045219.
Whitehead, J. C. 2003. “One million dollars per mile? The opportunity costs of hurricane evacuation.” Ocean Coastal Manage. 46 (11–12): 1069–1083. https://doi.org/10.1016/j.ocecoaman.2003.11.001.
Whitehead, J. C., B. Edwards, M. Van Willigen, J. R. Maiolo, K. Wilson, and K. T. Smith. 2000. “Heading for higher ground: Factors affecting real and hypothetical hurricane evacuation behavior.” Global Environ. Change Part B: Environ. Hazards 2 (4): 133–142. https://doi.org/10.1016/S1464-2867(01)00013-4.
Wong, S., S. Shaheen, and J. Walker. 2018. “Understanding evacuee behavior: A case study of Hurricane Irma.” Accessed November 14, 2022. https://escholarship.org/uc/item/9370z127.
Wong, S. D., J. C. Broader, J. L. Walker, and S. A. Shaheen. 2023. “Understanding California wildfire evacuee behavior and joint choice making.” Transportation 50 (4): 1165–1211. https://doi.org/10.1007/s11116-022-10275-y.
Wu, H.-C., M. K. Lindell, and C. S. Prater. 2012. “Logistics of hurricane evacuation in Hurricanes Katrina and Rita.” Transp. Res. Part F: Traffic Psychol. Behav. 15 (4): 445–461. https://doi.org/10.1016/j.trf.2012.03.005.
Yabe, T., and S. V. Ukkusuri. 2020. “Effects of income inequality on evacuation, reentry and segregation after disasters.” Transp. Res. Part D: Transp. Environ. 82 (May): 102260. https://doi.org/10.1016/j.trd.2020.102260.
Yinger, M. 2017. “Hurricanes and tropical storms.” Accessed November 20, 2022. https://philadelphiaencyclopedia.org/archive/hurricanes-and-tropical-storms/.
Zeigler, D. J., S. D. Brunn, and J. H. Johnson Jr. 1981. “Evacuation from a nuclear technological disaster.” Geogr. Rev. 71 (1): 1–16. https://doi.org/10.2307/214548.

Information & Authors

Information

Published In

Go to Natural Hazards Review
Natural Hazards Review
Volume 25Issue 2May 2024

History

Received: Feb 11, 2023
Accepted: Dec 14, 2023
Published online: Feb 29, 2024
Published in print: May 1, 2024
Discussion open until: Jul 29, 2024

Permissions

Request permissions for this article.

Authors

Affiliations

Assistant Professor, College of Arts and Sciences, Texas Tech Univ., Lubbock, TX 79409. ORCID: https://orcid.org/0000-0001-6517-6806. Email: [email protected]
Assistant Professor, Dept. of Industrial and Systems Engineering, Univ. of Missouri, Columbia, MO 65211 (corresponding author). ORCID: https://orcid.org/0000-0001-9065-9754. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share