Measuring Vulnerability of Typhoon in Residential Facilities: Focusing on Typhoon Maemi in South Korea

Taehui Kim,Kiyoung Son,Ji-Myong Kim,Sang-Guk Yum,Sungjin Ahn

doi:10.3390/su11102768

Taehui Kim, Kiyoung Son + Show 3 more

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https://doi.org/10.3390/su11102768

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Abstract

Typhoons cause severe monetary damage globally. Many global insurance companies and public agencies are currently developing and utilizing windstorm risk estimation models to calculate the level of risk and set up strategies for avoiding, mitigating, and relocating those economic risks. Hence, the usage and accuracy of the windstorm risk estimation model is becoming increasingly significant, and reflecting local vulnerabilities is essential for refined risk assessment. While key risk indicators have been recognized in practical studies of economic losses associated with windstorms, there remains a lack of comprehensive research addressing the relationship between economic losses of residential buildings for South Korea and vulnerability. This research investigates the real damage record of Typhoon Maemi from an insurance company in order to bridge this gap. The aim of this study is to define the damage indicators of typhoons and create a framework for typhoon damage function, using the damage caused by Typhoon Maemi as a representative paradigm. Basic building information and natural disaster indicators are adopted to develop the damage function. The results and metric of this research provide a pragmatic approach that helps create damage functions for insurance companies and contingency planners, reflecting the actual financial losses and local vulnerabilities of buildings. The framework and results of this study will provide a practical way to manage extreme cases of natural disasters, develop a damage function for insurers and public authorities, and reveal the real economic damage and local vulnerability of residential buildings in South Korea.

Highlights

The rate of occurrence of extreme windstorms is increasing rapidly, and the associated losses are growing rapidly as well [1]
In order to satisfy the demand of the models, this study statistically analyzed the damages of residential facilities caused by typhoon Maemi and identified the features of typhoon damage according to the path of the typhoon by statistically analyzing the damage caused by the typhoon
Shortages in comprehensive damage records are among the most common problems in the development of the damage function, which are more of an issue in developing countries such as South Korea

Summary

Introduction

The rate of occurrence of extreme windstorms is increasing rapidly, and the associated losses are growing rapidly as well [1]. Hurricane Katrina, which hit the southern US in 2005, generated an economic loss of about $ 81 billion, making it the costliest natural catastrophe in the United States to date [2]. Hurricane Sandy and Hurricane Ike followed; Hurricane Sandy reached the eastern coast of the US in 2012 and led to losses of $ 71.4 billion, while Hurricane Ike hit the southern coast of the United States in 2008 and led to losses of $ 29.5 billion [2,3]. European windstorms Anatol, Lothar, and Martin, which smashed Central Europe and Western Europe in succession with heavy winds and heavy rain in December 1999, led to losses totaling about 13 billion euros [4]. The typhoon caused storm surges and strong winds over South Asian countries, and overall losses were valued at $ 2.88 billion [5]

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