Abstract
This study identifies the risk indicators of building damage from typhoons and determines the correlations among this damage, typhoon information, geographic vulnerability, construction environment, and socioeconomic vulnerability. This fundamental research aids the development of a typhoon loss prediction model for building construction projects in South Korea. Extreme weather events have become increasingly prevalent around the world, with subsequent increases in related damages. Early attempts to meet the growing demands for a loss prediction model have been insufficiently comprehensive, and specifically in South Korea, research on risk indicators is needed that considers the geographic, building, and socioeconomic features. This research used the regional typhoon loss records from the annual report of the Ministry of Public Safety and Security (MPSS) to define the dependent variable of building damage. The results and findings of this study will inform the development of a typhoon loss prediction model in South Korea.
Highlights
The frequency of extreme meteorological events has increased exponentially in Korea, with resulting increases in damage [1]
Some prediction models have been developed, research that is more comprehensive is needed that reveals the connections among natural hazard characteristics, vulnerability, and building damage
This study identifies vulnerability and risk indicators for typhoons as a first step toward developing a typhoon damage estimation system for South Korea
Summary
The frequency of extreme meteorological events has increased exponentially in Korea, with resulting increases in damage [1]. In August 2002, Typhoon Rusa hit the southern coast of the Korean Peninsula with highly destructive force. The estimated losses were approximately 4600 million USD in this single event. Typhoon Maemi (2003) and Typhoon Olga (1999) struck the southern coast and the western part of the Korean Peninsula, incurring losses of approximately 3800 million USD and 900 million USD, respectively [2]. To manage the tremendous and critical damage from tropical cyclones in the United States, the Federal Emergency Management Agency (FEMA) conducted a HAZUS-Multi Hazard (HAZUS-MH) analysis to predict loss due to floods, earthquakes, and hurricanes. Florida, a region frequently damaged by tropical cyclones, has developed the Florida Public Hurricane Loss Model (FPHLM) as an effective tool to estimate insurance premium rates according to the disaster risk
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