Next Article in Journal
Surveying Reality (SurReal): Software to Simulate Surveying in Virtual Reality
Next Article in Special Issue
Exploring Spatial Patterns of Virginia Tornadoes Using Kernel Density and Space-Time Cube Analysis (1960–2019)
Previous Article in Journal
Copyright Protection Based on Zero Watermarking and Blockchain for Vector Maps
Previous Article in Special Issue
Comparison of Machine Learning Methods for Potential Active Landslide Hazards Identification with Multi-Source Data
Article

Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United States

1
Department of Geosciences, Florida Atlantic University, Boca Raton, FL 33431, USA
2
Department of Geography, University of Alabama, Tuscaloosa, AL 35487, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Dean Kyne and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(5), 295; https://doi.org/10.3390/ijgi10050295
Received: 23 March 2021 / Revised: 18 April 2021 / Accepted: 26 April 2021 / Published: 4 May 2021
(This article belongs to the Special Issue Disaster Management and Geospatial Information)
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. View Full-Text
Keywords: inland property damage; tropical cyclones; ordinary least squares (OLS); geographically weighted regression (GWR) inland property damage; tropical cyclones; ordinary least squares (OLS); geographically weighted regression (GWR)
Show Figures

Figure 1

MDPI and ACS Style

Rifat, S.A.A.; Senkbeil, J.C.; Liu, W. Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United States. ISPRS Int. J. Geo-Inf. 2021, 10, 295. https://doi.org/10.3390/ijgi10050295

AMA Style

Rifat SAA, Senkbeil JC, Liu W. Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United States. ISPRS International Journal of Geo-Information. 2021; 10(5):295. https://doi.org/10.3390/ijgi10050295

Chicago/Turabian Style

Rifat, Shaikh A.A., Jason C. Senkbeil, and Weibo Liu. 2021. "Assessing Influential Factors on Inland Property Damage from Gulf of Mexico Tropical Cyclones in the United States" ISPRS International Journal of Geo-Information 10, no. 5: 295. https://doi.org/10.3390/ijgi10050295

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop