Urban–Rural Exposure to Flood Hazard and Social Vulnerability in the Conterminous United States

This study investigates the spatial disparities in flood risk and social vulnerability across 66,543 census tracts in the Conterminous United States (CONUS), emphasizing urban–rural differences. Utilizing the American Community Survey (ACS) 2016–2020 data, we focused on 16 social factors representin...

Full description

Saved in:
Bibliographic Details
Main Authors: Bishal Dhungana, Weibo Liu
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/13/9/339
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850260841897656320
author Bishal Dhungana
Weibo Liu
author_facet Bishal Dhungana
Weibo Liu
author_sort Bishal Dhungana
collection DOAJ
description This study investigates the spatial disparities in flood risk and social vulnerability across 66,543 census tracts in the Conterminous United States (CONUS), emphasizing urban–rural differences. Utilizing the American Community Survey (ACS) 2016–2020 data, we focused on 16 social factors representing socioeconomic status, household composition, racial and ethnic minority status, and housing and transportation access. Principal Component Analysis (PCA) reduced these variables into five principal components: Socioeconomic Disadvantage, Elderly and Disability, Housing Density and Vehicle Access, Youth and Mobile Housing, and Group Quarters and Unemployment. An additive model created a comprehensive Social Vulnerability Index (SVI). Statistical analysis, including the Mann–Whitney U test, indicated significant differences in flood risk and social vulnerability between urban and rural areas. Spatial cluster analysis using Local Indicators of Spatial Association (LISA) revealed significant high flood risk and social vulnerability clusters, particularly in urban regions along the Gulf Coast, Atlantic Seaboard, and Mississippi River. Global and local regression models, including Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR), highlighted social vulnerability’s spatial variability and localized impacts on flood risk. The results showed substantial regional disparities, with urban areas exhibiting higher flood risks and social vulnerability, especially in southeastern urban centers. The analysis also revealed that Socioeconomic Disadvantage, Group Quarters and Unemployment, and Housing Density and Vehicle Access are closely related to flood risk in urban areas, while in rural areas, the relationship between flood risk and factors such as Elderly and Disability and Youth and Mobile Housing is more pronounced. This study underscores the necessity for targeted, region-specific strategies to mitigate flood risks and enhance resilience, particularly in areas where high flood risk and social vulnerability converge. These findings provide critical insights for policymakers and planners aiming to address environmental justice and promote equitable flood risk management across diverse geographic settings.
format Article
id doaj-art-2068b7b7b31e4401ac98d5e1ed6c3d51
institution OA Journals
issn 2220-9964
language English
publishDate 2024-09-01
publisher MDPI AG
record_format Article
series ISPRS International Journal of Geo-Information
spelling doaj-art-2068b7b7b31e4401ac98d5e1ed6c3d512025-08-20T01:55:33ZengMDPI AGISPRS International Journal of Geo-Information2220-99642024-09-0113933910.3390/ijgi13090339Urban–Rural Exposure to Flood Hazard and Social Vulnerability in the Conterminous United StatesBishal Dhungana0Weibo Liu1Department of Geosciences, Florida Atlantic University, Boca Raton, FL 33431, USADepartment of Geosciences, Florida Atlantic University, Boca Raton, FL 33431, USAThis study investigates the spatial disparities in flood risk and social vulnerability across 66,543 census tracts in the Conterminous United States (CONUS), emphasizing urban–rural differences. Utilizing the American Community Survey (ACS) 2016–2020 data, we focused on 16 social factors representing socioeconomic status, household composition, racial and ethnic minority status, and housing and transportation access. Principal Component Analysis (PCA) reduced these variables into five principal components: Socioeconomic Disadvantage, Elderly and Disability, Housing Density and Vehicle Access, Youth and Mobile Housing, and Group Quarters and Unemployment. An additive model created a comprehensive Social Vulnerability Index (SVI). Statistical analysis, including the Mann–Whitney U test, indicated significant differences in flood risk and social vulnerability between urban and rural areas. Spatial cluster analysis using Local Indicators of Spatial Association (LISA) revealed significant high flood risk and social vulnerability clusters, particularly in urban regions along the Gulf Coast, Atlantic Seaboard, and Mississippi River. Global and local regression models, including Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR), highlighted social vulnerability’s spatial variability and localized impacts on flood risk. The results showed substantial regional disparities, with urban areas exhibiting higher flood risks and social vulnerability, especially in southeastern urban centers. The analysis also revealed that Socioeconomic Disadvantage, Group Quarters and Unemployment, and Housing Density and Vehicle Access are closely related to flood risk in urban areas, while in rural areas, the relationship between flood risk and factors such as Elderly and Disability and Youth and Mobile Housing is more pronounced. This study underscores the necessity for targeted, region-specific strategies to mitigate flood risks and enhance resilience, particularly in areas where high flood risk and social vulnerability converge. These findings provide critical insights for policymakers and planners aiming to address environmental justice and promote equitable flood risk management across diverse geographic settings.https://www.mdpi.com/2220-9964/13/9/339flood risksocial vulnerabilitygeographically weighted regressionurban–rural
spellingShingle Bishal Dhungana
Weibo Liu
Urban–Rural Exposure to Flood Hazard and Social Vulnerability in the Conterminous United States
ISPRS International Journal of Geo-Information
flood risk
social vulnerability
geographically weighted regression
urban–rural
title Urban–Rural Exposure to Flood Hazard and Social Vulnerability in the Conterminous United States
title_full Urban–Rural Exposure to Flood Hazard and Social Vulnerability in the Conterminous United States
title_fullStr Urban–Rural Exposure to Flood Hazard and Social Vulnerability in the Conterminous United States
title_full_unstemmed Urban–Rural Exposure to Flood Hazard and Social Vulnerability in the Conterminous United States
title_short Urban–Rural Exposure to Flood Hazard and Social Vulnerability in the Conterminous United States
title_sort urban rural exposure to flood hazard and social vulnerability in the conterminous united states
topic flood risk
social vulnerability
geographically weighted regression
urban–rural
url https://www.mdpi.com/2220-9964/13/9/339
work_keys_str_mv AT bishaldhungana urbanruralexposuretofloodhazardandsocialvulnerabilityintheconterminousunitedstates
AT weiboliu urbanruralexposuretofloodhazardandsocialvulnerabilityintheconterminousunitedstates