Loading [Contrib]/a11y/accessibility-menu.js
Skip to main content
null
Findings
  • Menu
  • Articles
    • Energy Findings
    • Resilience Findings
    • Safety Findings
    • Transport Findings
    • Urban Findings
    • All
  • For Authors
  • Editorial Board
  • About
  • Blog
  • covid-19
  • search

RSS Feed

Enter the URL below into your favorite RSS reader.

https://findingspress.org/feed
Resilience Findings
January 09, 2024 AEST

Understanding People’s Safety Perceptions During a Recent Evacuation: The Case of Hurricane Ian (2022)

Md. Shaharier Alam, Mark W. Horner, Eren Erman Ozguven, Billie Ventimiglia, Dennis Smith,
Hurricane IanEvacuationSafety PerceptionsPollfishBinary Logistic Regression
Copyright Logoccby-sa-4.0 • https://doi.org/10.32866/001c.91268
Findings
Alam, Md. Shaharier, Mark W. Horner, Eren Erman Ozguven, Billie Ventimiglia, and Dennis Smith. 2024. “Understanding People’s Safety Perceptions During a Recent Evacuation: The Case of Hurricane Ian (2022).” Findings, January. https:/​/​doi.org/​10.32866/​001c.91268.
Save article as...▾
Download all (3)
  • Figure 1. People’s Safety Perceptions During Evacuation
    Download
  • Figure 2. People’s Safety Perceptions While Returning.
    Download
  • Figure 3. Socio-Economic Factors and Evacuation Safety Perceptions Among Evacuees
    Download

Sorry, something went wrong. Please try again.

If this problem reoccurs, please contact Scholastica Support

Error message:

undefined

View more stats

Abstract

This study examines how individuals affected by Hurricane Ian (2022) perceived safety-related issues during the evacuation based on a Pollfish survey (n=100) in Lee County, Florida. 62% of survey respondents evacuated, with the majority going to a friend or relative’s home, and personal vehicles were the primary mode of transportation. Greatest concerns during evacuation included the cost of food and amenities, traffic congestion, and standing water. Upon returning home, primary concerns were disaster debris, fuel availability, and the availability of food and amenities. A binary logistic regression was employed to explore socio-economic factors’ impact on evacuation decisions, revealing significant factors.

1. QUESTIONS

Analyzing people’s safety perceptions during evacuation is crucial, particularly in the US, where the majority of the population resides in hurricane-prone coastal areas (Bowser and Cutter 2015). Three consecutive hurricanes made landfall in US mainland coast in the 2022 Hurricane season. On September 28th, 2022, Hurricane Ian, a category 4 storm, made landfall with 150 mph winds and a 10-15 ft storm surge, becoming the third costliest US disaster (NOAA 2022). Hurricane Ian also caused over 148 fatalities, two-third of whom were older adults (Karimiziarani and Moradkhani 2023; Palm and Bolsen 2023). A total of 2.5 million people across 12 counties were ordered to evacuate, partially due to the storm’s unpredictable trajectory (Olivo et al. 2022). Those in Lee County faced chaotic evacuation due to authorities’ late issue of evacuation orders. In this study, our main research question is: How did people in Lee County, Florida affected by Hurricane Ian perceive various safety issues involved with regards to evacuation, given the extreme uncertainty associated with the storm?

2. METHODS

For this study, we used the Pollfish online platform to survey residents of Lee County, Florida, following Hurricane Ian in January 2023. Pollfish collaborates with mobile apps to present surveys using Random Device Engagement and incentivizes responses through monetary rewards (Rothschild and Konitzer 2020). Researchers can tailor their sampling frame and recruit participants through opt-in online surveys with specific eligibility criteria.

Lee County was selected as the study area due to its direct impact from Hurricane Ian, resulting in 55 fatalities and substantial damage, especially in Fort Myers. Also, the evacuation plan prior to the storm was uncertain. Between January 7th and 28th, 2023, we conducted a survey of 100 individuals in Lee County, with no specific eligibility criteria, using a short questionnaire comprising 15 questions.

3. FINDINGS

RESPONDENT CHARACTERISTICS

This section discusses the socio-economic characteristics of survey respondents and their evacuation decisions, as presented in Table 1. Our findings demonstrate that 62% of respondents chose to evacuate following the mandatory order. The sample closely mirrored the demographic composition of Lee County. 58% of the sample comprised females, a figure in proximity to the overall female percentage of 50.7% in Lee County. Within the sample, the majority consisted of white individuals (70%), with Hispanic/Latino (13%), Black or African American (9%), and Asians (2%). Similarly, Lee County’s population was primarily composed of white individuals (86%), followed by Hispanic/Latino (24.3%), Black or African American (9.2%), and Asians (1.8%) (U.S. Census Bureau 2021). The age distribution of respondents reveals that the majority were aged over 54 years (30%) or between 35 and 44 years (25%). However, older adults exhibited lower evacuation rates, with 50% choosing to shelter in place. Lower to medium-income respondents (below $75K), constituting 61% of the sample, also had lower evacuation rates.

Table 1.Characteristics of respondents and evacuation status
Socio-Economic Characteristics Total
n(%)
Evacuated
n(%)
Not Evacuated
n(%)
Gender Female 58 (58%) 35(60.3%) 23(39.7%)
Male 42(42%) 27(64.3%) 15(35.7%)
Age 16 to 17 Year 2(2%) 2(100%) 0(0%)
18 to 24 Year 15(15%) 12(80%) 3(20%)
25 to 34 Year 19(19%) 11(57.9%) 8(42.1%)
35 to 44 Year 25(25%) 19(76%) 6(24%)
45 to 54 Year 9(9%) 3(33.3%) 6(66.7%)
> 54 Year 30(30%) 15(50%) 15(50%)
Income (Yearly) < $25,000 14(14%) 7(50%) 7(50%)
$25,000 to $49,999 24(24%) 14(58.3%) 10(41.7%)
$50,000 to $74,999 23(23%) 14(60.9%) 9(39.1%)
$75,000 to $99,999 9(9%) 7(77.8%) 2(22.2%)
$1,00,000 to $1,24,000 6(6%) 6(100%) 0(0%)
125000 to $1,50,000 3(3%) 3(100%) 0(0%)
>1,50,000 8(8%) 6(75%) 2(25%)
Prefer Not to Say 13(13%) 5(38.5%) 8(61.5%)
Education High School 38(38%) 25(65.8%) 13(34.2%)
University 27(27%) 17(63%) 10(37%)
Vocational College 20(20%) 10(50%) 10(50%)
Postgraduate 12(12%) 8(66.7%) 4(33.3%)
Middle School 3(3%) 2(66.7%) 1(33.3%)
Race White 70(70%) 44(62.9%) 26(37.1%)
Hispanic 10(10%) 4(40%) 6(60%)
Black 9(9%) 7(77.8%) 2(22.2%)
Arab 1(1%) 0(0%) 1(100%)
Latino 3(3%) 1(33.3%) 2(66.7%)
Asian 2(2%) 1(50%) 1(50%)
Multiracial 1(1%) 1(100%) 0(0%)
Other 3(3%) 3(100%) 0(0%)
Prefer Not to Say 1(1%) 1(100%) 0(0%)
Marital Status Divorced 11(11%) 6(54.5%) 5(45.5%)
Living with Partner 9(9%) 7(77.8%) 2(22.2%)
Married 36(36%) 20(55.6%) 16(44.4%)
Separated 7(7%) 6(85.7%) 1(14.3%)
Single 29(29%) 17(58.6%) 12(41.4%)
Widowed 3(3%) 2(66.7%) 1(33.3%)
Prefer Not to Say 5(5%) 4(80%) 1(20%)
Employment Status Employed for Wages 44(44%) 26(59.1%) 18(40.9%)
Retired 14(14%) 9(64.3%) 5(35.7%)
Self Employed 13(13%) 8(61.5%) 5(38.5%)
Student 4(4%) 4(100%) 0(0%)
Unable to Work 5(5%) 3(60%) 2(40%)
Unemployed(Looking for Job) 11(11%) 7(63.6%) 4(36.4%)
Unemployed(Not Looking for Job) 1(1%) 1(100%) 0(0%)
Other 8(%) 4(50%) 4(50%)

EVACUATION INFORMATION AND SAFETY PERCEPTION

Our analysis revealed that 62% of respondents evacuated during Hurricane Ian. The majority of those who evacuated went to the home of a friend or relative (35%) or a hotel/motel (including an Airbnb) (34%), while 22% sought refuge in a public hurricane shelter and 5% in a special needs shelter.

As for mode of transportation, 67% of evacuees used their personal vehicles, while 8% evacuated in private vehicles driven by friends or relatives. However, a very small share of people opted for alternative modes, such as ridesharing (1%), public transport (1%), cycling (1%), or walking (1%). Among the evacuees, most people (35.5%) evacuated 12-24 hours before Hurricane Ian’s landfall, while only 11.3% did so more than 24 hours before. However, 8.1% evacuated during or after the landfall, which may be attributed to a late issue of the evacuation orders (Olivo et al. 2022; Robles et al. 2022)

As part of the survey, evacuees were asked about their concerns during evacuation and when returning home. Figures 1 and 2 illustrate the concerns of evacuees while evacuating and returning during Hurricane Ian. Before hurricane landfall, people tend to panic and hoard grocery items ,causing grocery shortages and sudden price-gouging. Hurricane Ian also triggered concerns about the cost and availability of food and amenities during evacuation and upon return. Hurricane Ian raised concerns for evacuees about traffic congestion and fuel availability upon their return, as people from 12 counties attempting to leave due to a mandatory evacuation. During evacuation and return, some evacuees were deeply worried about disaster debris and standing water, which were consequences of the heavy wind and storm surge. We also investigated evacuation safety perceptions among evacuees by their socio-economic status, as shown in Figure 3.

Figure 1
Figure 1.People’s Safety Perceptions During Evacuation
Figure 2
Figure 2.People’s Safety Perceptions While Returning.
Figure 3
Figure 3.Socio-Economic Factors and Evacuation Safety Perceptions Among Evacuees

FACTORS AFFECTING EVACUATION

Past literature indicates socio-economic and behavioral factors significantly impact evacuation decisions(Baker 1991; Karaye et al. 2022; Lazo et al. 2015). We conducted a binary logistic regression to explore factors influencing people’s evacuation decision during hurricane Ian. Ten independent variables were considered: age, gender, marital status, race, education, employment, housing type, living duration, chronic illness, and primary caregivers. The model is statistically significant and correctly classifies 74% of the data (Shown in Table 2). Additional tests, such as Hosmer and Lemeshow, Nagelkerke R2, and Cox & Snell R2, confirm a well-fitted model.

Table 2.Results of the developed binary logistic regression model.
Factors Coeff. (β) Significance (p) Odds Ratio
(OR)
95% C.I. for OR
Lower Upper
Constant -1.348 .458 .260
Age .038 .095** 1.039 .993 1.086
Gender (Ref: Male)
Female -.080 .884 .923 .315 2.708
Marital Status (Ref: Married/Living with partner)
Others (Single/ Separated/ Widowed /Divorced) -.075 .898 .928 .295 2.919
Education (Ref: Middle School)
High School -.638 .667 .528 .029 9.676
University/Vocational Collage -.088 .953 .915 .047 17.653
Post-Graduation -1.243 .471 .288 .010 8.488
Race (Ref: White)
Black/African American -.192 .851 .826 .112 6.073
Hispanic/Latinos 1.941 .014* 6.968 1.480 32.802
Others -.574 .584 .563 .072 4.391
Employment (Ref: Employed)
Unemployed -.256 .702 .774 .208 2.879
Retired -1.974 .053** .139 .019 1.023
Housing Type (Ref: House/ Apartment/ Condominium)
Others(Mobile Homes &Assisted Living ) -2.390 .052** .092 .008 1.021
Living Duration (Ref: < 1 Year)
1 to 5 year -.265 .751 .768 .150 3.930
5 to 10 year -.549 .554 .578 .094 3.555
More than 10 years 1.437 .162 4.206 .561 31.521
Chronic illness (Ref: No)
Yes 1.018 .127 2.768 .750 10.214
Primary Caregiver (Ref: No)
Yes -1.406 .032* .245 .068 .884
Model Summary: Omnibus Tests: n = 100, ꭓ2= 32.271, df= 17, ρ-value= 0.014,
-2 Log likelihood= 100.542 , Nagelkerke R2 = 0.340, Cox & Snell R2 =0.276
Hosmer and Lemeshow Test: ꭓ2 =7.446, df= 8 , p-value = 0.489.
Correctly classified= 74%.

* Significance at the 5% level, and ** at the 10% level.

The model shows that age positively influences evacuation decisions during hurricane Ian (OR=1.039). Similarly, Hispanic/Latinos variables are statistically significant and are 6.968 times more likely to evacuate than their white counterparts. Conversely, being a primary caregiver is associated with a significantly lower likelihood (about 24.5% of the odds) of evacuating.

Retired individuals also show a negative relationship, with 0.139 times lower odds of evacuation compared to employed individuals. Finally, individuals living in the Mobile Homes and Assisted Living exhibit a significantly lower likelihood of evacuating, possibly influenced by financial or health constraints.


ACKNOWLEDGMENTS

This study was partially supported by the UF-FSU Clinical and Translational Science Award. The contents of this paper represent the authors’ opinions and do not reflect the official views of the award.

Submitted: May 06, 2023 AEST

Accepted: December 17, 2023 AEST

References

Baker, Earl J. 1991. “Hurricane Evacuation Behavior.” International Journal of Mass Emergencies & Disasters 9 (2): 287–310. https:/​/​doi.org/​10.1177/​028072709100900210.
Google Scholar
Bowser, Gregg C., and Susan L. Cutter. 2015. “Stay or Go? Examining Decision Making and Behavior in Hurricane Evacuations.” Environment: Science and Policy for Sustainable Development 57 (6): 28–41. https:/​/​doi.org/​10.1080/​00139157.2015.1089145.
Google Scholar
Karaye, Ibraheem M., Nicholas Taylor, Maria Perez-Patron, Courtney Thompson, and Jennifer A. Horney. 2022. “Factors Associated with Hurricane Evacuation: A Statistical Meta-Analysis of Studies, 1999-2018.” Disaster Medicine and Public Health Preparedness 16 (3): 1064–72. https:/​/​doi.org/​10.1017/​dmp.2021.24.
Google Scholar
Karimiziarani, Mohammadsepehr, and Hamid Moradkhani. 2023. “Social Response and Disaster Management: Insights from Twitter Data Assimilation on Hurricane Ian.” International Journal of Disaster Risk Reduction 95 (September):103865. https:/​/​doi.org/​10.1016/​j.ijdrr.2023.103865.
Google Scholar
Lazo, Jeffrey K., Ann Bostrom, Rebecca E. Morss, Julie L. Demuth, and Heather Lazrus. 2015. “Factors Affecting Hurricane Evacuation Intentions: Factors Affecting Hurricane Evacuation Intentions.” Risk Analysis 35 (10): 1837–57. https:/​/​doi.org/​10.1111/​risa.12407.
Google Scholar
NOAA. 2022. “Monthly National Climate Report for September 2022.” NOAA National Centers for Environmental Information. https:/​/​www.ncei.noaa.gov/​access/​monitoring/​monthly-report/​national/​202209/​supplemental/​page-5.
Olivo, Antonio, Derek Hawkins, Samuel Oakford, and Scott Dance. 2022. “Hour-by-Hour Analysis Shows Toll of County’s Delay before Hurricane Ian.” The Washington Post, October 14, 2022. https:/​/​www.washingtonpost.com/​nation/​2022/​10/​14/​lee-county-hurricane-ian-evacuation-timeline/​.
Palm, Risa, and Toby Bolsen. 2023. “Perspectives of Southwest Florida Homeowners and Real Estate Agents before Hurricane Ian.” The Professional Geographer 75 (6): 916–31. https:/​/​doi.org/​10.1080/​00330124.2023.2194372.
Google Scholar
Robles, Frances, Mike Baker, Serge F. Kovaleski, and Lazaro Gamio. 2022. “Facing a Dire Storm Forecast in Florida, Officials Delayed Evacuation.” The New York Times, September 30, 2022. https:/​/​www.washingtonpost.com/​nation/​2022/​10/​14/​lee-county-hurricane-ian-evacuation-timeline/​.
Rothschild, David, and Tobias Konitzer. 2020. “Organic Random Device Engagement Sampling Methodology.” Pollfish. https:/​/​resources.pollfish.com/​market-research/​random-device-engagement-and-organic-sampling/​.
U.S. Census Bureau. 2021. “QuickFacts: Lee County, Florida. U.S. Census Bureau QuickFacts.” U.S. Census Bureau. https:/​/​www.census.gov/​quickfacts/​leecountyflorida.

This website uses cookies

We use cookies to enhance your experience and support COUNTER Metrics for transparent reporting of readership statistics. Cookie data is not sold to third parties or used for marketing purposes.

Powered by Scholastica, the modern academic journal management system