Quantifying Risk of Natural Disaster Using Typhoon Damage Cases in Commercial Buildings


Damages caused by natural disasters are increasing worldwide, and damages are increasing accordingly. Therefore, a number of international public organizations and global insurance companies are actively studying risk modeling models to predict and counter the risks of natural disasters. These organizations are working to increase the sophistication of the model, as it creates a strategy for risk transfer or preparation based on the risk quantification model as the risk of natural disasters increases. Nevertheless, many studies on natural disasters and economic losses have defined the main factors, but there is a lack of comprehensive study on the relationship between risk factors such as natural disaster indicators and building inventory using actual cases. This study examine the risk factors and amount of risk through statistical analysis of damage cases caused by natural disasters. Hence, the purpose of this study is to define the risk indicators and to define the relationship between the risk indicators using actual damage cases of Typhoon Maemi, a representative natural disaster cases in South Korea. Building inventory and natural disaster indicators were used for statistical analysis. The results and framework of this study reflect the vulnerability of the actual damage, vulnerability of the building to natural disasters as well as the vulnerability of the region, so that public agencies and insurance companies will have a practical way to develop natural hazard risk quantification models.

Author Information
Ji-Myong Kim, Mokpo National University, South Korea

Paper Information
Conference: IICSEEHawaii2020
Stream: Security and Safety

This paper is part of the IICSEEHawaii2020 Conference Proceedings (View)
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To cite this article:
Kim J. (2020) Quantifying Risk of Natural Disaster Using Typhoon Damage Cases in Commercial Buildings ISSN: 2432-8642 – The IAFOR International Conference on Sustainability, Energy & the Environment – Hawaii 2020 Official Conference Proceedings https://doi.org/10.22492/issn.2432-8642.2020.5
To link to this article: https://doi.org/10.22492/issn.2432-8642.2020.5

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Posted by James Alexander Gordon