Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United States
The Gulf and southeast coastal communities in the United States are particularly vulnerable to tropical cyclones. Coastal areas generally receive the greatest economic losses from tropical cyclones; however, research suggests that losses in the inland zone can occasionally be higher than the coastal...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/10/5/295 |
| _version_ | 1827693396708294656 |
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| author | Shaikh Abdullah Al Rifat Jason C. Senkbeil Weibo Liu |
| author_facet | Shaikh Abdullah Al Rifat Jason C. Senkbeil Weibo Liu |
| author_sort | Shaikh Abdullah Al Rifat |
| collection | DOAJ |
| description | The Gulf and southeast coastal communities in the United States are particularly vulnerable to tropical cyclones. Coastal areas generally receive the greatest economic losses from tropical cyclones; however, research suggests that losses in the inland zone can occasionally be higher than the coastal zone. Previous research assessing the inland impacts from tropical cyclones was limited to the areas that are adjacent to the coastal zone only, where losses are usually higher. In this study, we assessed the spatial distribution of inland property damage caused by tropical cyclones. We included all the inland counties that fall within the inland zone in the states of Louisiana, Mississippi, and Alabama. Additionally, different factors, including meteorological storm characteristics (tropical cyclone wind and rain), elevation, and county social-economic vulnerability (county social vulnerability index and GDP) were assessed to measure their influence on property damage, using both ordinary least squares (OLS) and geographically weighted regression (GWR) models. GWR performs better than the OLS, signifying the importance of considering spatial variations in the explanation of inland property damage. Results from the tristate region suggest that wind was the strongest predictor of property damage in OLS and one of the major contributing factors of property damage in the GWR model. These results could be beneficial for emergency managers and policymakers when considering the inland impacts of tropical cyclones. |
| first_indexed | 2024-03-10T11:43:04Z |
| format | Article |
| id | doaj.art-1baea7b22f624fd585463a996f9f1bdd |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T11:43:04Z |
| publishDate | 2021-05-01 |
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| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-1baea7b22f624fd585463a996f9f1bdd2023-11-21T18:19:25ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-05-0110529510.3390/ijgi10050295Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United StatesShaikh Abdullah Al Rifat0Jason C. Senkbeil1Weibo Liu2Department of Geosciences, Florida Atlantic University, Boca Raton, FL 33431, USADepartment of Geography, University of Alabama, Tuscaloosa, AL 35487, USADepartment of Geosciences, Florida Atlantic University, Boca Raton, FL 33431, USAThe Gulf and southeast coastal communities in the United States are particularly vulnerable to tropical cyclones. Coastal areas generally receive the greatest economic losses from tropical cyclones; however, research suggests that losses in the inland zone can occasionally be higher than the coastal zone. Previous research assessing the inland impacts from tropical cyclones was limited to the areas that are adjacent to the coastal zone only, where losses are usually higher. In this study, we assessed the spatial distribution of inland property damage caused by tropical cyclones. We included all the inland counties that fall within the inland zone in the states of Louisiana, Mississippi, and Alabama. Additionally, different factors, including meteorological storm characteristics (tropical cyclone wind and rain), elevation, and county social-economic vulnerability (county social vulnerability index and GDP) were assessed to measure their influence on property damage, using both ordinary least squares (OLS) and geographically weighted regression (GWR) models. GWR performs better than the OLS, signifying the importance of considering spatial variations in the explanation of inland property damage. Results from the tristate region suggest that wind was the strongest predictor of property damage in OLS and one of the major contributing factors of property damage in the GWR model. These results could be beneficial for emergency managers and policymakers when considering the inland impacts of tropical cyclones.https://www.mdpi.com/2220-9964/10/5/295inland property damagetropical cyclonesordinary least squares (OLS)geographically weighted regression (GWR) |
| spellingShingle | Shaikh Abdullah Al Rifat Jason C. Senkbeil Weibo Liu Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United States ISPRS International Journal of Geo-Information inland property damage tropical cyclones ordinary least squares (OLS) geographically weighted regression (GWR) |
| title | Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United States |
| title_full | Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United States |
| title_fullStr | Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United States |
| title_full_unstemmed | Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United States |
| title_short | Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United States |
| title_sort | assessing influential factors on inland property damage from gulf of mexico tropical cyclones in the united states |
| topic | inland property damage tropical cyclones ordinary least squares (OLS) geographically weighted regression (GWR) |
| url | https://www.mdpi.com/2220-9964/10/5/295 |
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