Authors: Bless Dupeh*, UNC Charlotte
Topics: Hazards and Vulnerability, Geographic Information Science and Systems, Quantitative Methods
Keywords: Natural hazards, Natural disasters, Place vulnerability, Vulnerability index, Coastal Georgia, PCA, GIS, AMBUR-HVA.
Session Type: Virtual Poster
Start / End Time: 9:35 AM / 10:50 AM
Room: Virtual 51
Presentation File: No File Uploaded
The complexity of vulnerability to natural hazards requires a thorough assessment of both physical and
social factors. Physical vulnerability explains the occupancy within hazardous zones and social
vulnerability determines how a community can cope, respond to, and recover from disasters. The
determination of both physical and social vulnerability helps find the overall vulnerability of a place and
this in turn helps with hazard mitigation. This study assesses the overall place vulnerability by examining
both physical and social vulnerability in six Coastal Georgia counties. This study also uses Principal
Component Analysis (PCA) to generate a social vulnerability index. To obtain the place vulnerability,
AMBUR-HVA which is a package in the R programming language is used to create the place
vulnerability index by combining the physical and social vulnerability. The global and local Moran’s I
statistics are used to determine the spatial autocorrelation of the vulnerability index and the results show
census tracts with high place vulnerability mostly within Savannah, Riceboro, Darien, Brunswick, St.
Marys, and Sapelo. The results presented in this study can help government officials and policymakers
channel resources to the people or areas that need the most assistance.