A Disparate Disaster: Spatial Patterns of Building Damage Caused by Hurricane Ian and Associated Socio-Economic Factors

The literature shows that communities under different socio-economic conditions suffer different levels of damage in disasters. In addition to the physical intensity of hazards, such differences are also related to the varying abilities of communities to prepare for and respond to disasters. This st...

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Published in:	Remote sensing (Basel, Switzerland) Vol. 16; no. 20; p. 3792
Main Authors:	Salim, Md Zakaria, Qiang, Yi, Dixon, Barnali, Collins, Jennifer
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.10.2024
Subjects:	Building codes building damage Buildings community resilience Damage assessment Damage patterns Disasters Distribution Economic conditions Economic factors Economics Emergency preparedness Emergency response Floods Hurricane Ian Hurricanes Identification and classification Natural disaster damage Population (statistical) Population studies socio-economic disparities Socioeconomic factors Socioeconomics spatial analysis Spatial variations Statistical analysis United States Florida United States > US
ISSN:	2072-4292, 2072-4292
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Abstract	The literature shows that communities under different socio-economic conditions suffer different levels of damage in disasters. In addition to the physical intensity of hazards, such differences are also related to the varying abilities of communities to prepare for and respond to disasters. This study analyzes the spatial patterns of building damage in Hurricane Ian in 2022 and investigates the socio-economic disparities related to the damage. Specifically, this study employs NASA’s Damage Proxy Map (DPM2) to analyze spatial patterns of building damage caused by the hurricane. Then, it uses statistical analysis to assess the relationships between building damage and hurricane intensity, building conditions, and socio-economic variables at the building and census tract levels. Furthermore, the study applies geographically weighted regression (GWR) to examine the spatial variation of the damage factors. The results provide valuable insights into the potential factors related to building damage and the spatial variation in the factors. The results also reveal the uneven distribution of building damage among different population groups, implying socio-economic inequalities in disaster adaptation and resilience. Moreover, the study provides actionable information for policymakers, emergency responders, and community leaders in formulating strategies to mitigate the impact of future hurricanes by identifying vulnerable communities and population groups.
AbstractList	The literature shows that communities under different socio-economic conditions suffer different levels of damage in disasters. In addition to the physical intensity of hazards, such differences are also related to the varying abilities of communities to prepare for and respond to disasters. This study analyzes the spatial patterns of building damage in Hurricane Ian in 2022 and investigates the socio-economic disparities related to the damage. Specifically, this study employs NASA’s Damage Proxy Map (DPM2) to analyze spatial patterns of building damage caused by the hurricane. Then, it uses statistical analysis to assess the relationships between building damage and hurricane intensity, building conditions, and socio-economic variables at the building and census tract levels. Furthermore, the study applies geographically weighted regression (GWR) to examine the spatial variation of the damage factors. The results provide valuable insights into the potential factors related to building damage and the spatial variation in the factors. The results also reveal the uneven distribution of building damage among different population groups, implying socio-economic inequalities in disaster adaptation and resilience. Moreover, the study provides actionable information for policymakers, emergency responders, and community leaders in formulating strategies to mitigate the impact of future hurricanes by identifying vulnerable communities and population groups.
Audience	Academic
Author	Collins, Jennifer Qiang, Yi Salim, Md Zakaria Dixon, Barnali
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SubjectTerms	Building codes building damage Buildings community resilience Damage assessment Damage patterns Disasters Distribution Economic conditions Economic factors Economics Emergency preparedness Emergency response Floods Hurricane Ian Hurricanes Identification and classification Natural disaster damage Population (statistical) Population studies socio-economic disparities Socioeconomic factors Socioeconomics spatial analysis Spatial variations Statistical analysis
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Title	A Disparate Disaster: Spatial Patterns of Building Damage Caused by Hurricane Ian and Associated Socio-Economic Factors
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