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Identifying Risk Indicators of Building Damage Due to Typhoons: Focusing on Cases of South Korea

Author

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  • Ji-Myong Kim

    (Department of Architectural Engineering, Mokpo National University, Mokpo 58554, Korea)

  • Kiyoung Son

    (School of Architectural Engineering, University of Ulsan, Ulsan 44610, Korea)

  • Youngmi Yoo

    (Department of Social Welfare, Pusan National University, Busan 46241, Korea)

  • Donghoon Lee

    (Department of Architectural Engineering, Hanbat National University, Daejeon 34158, Korea)

  • Dae Young Kim

    (Department of Architectural Engineering, Pusan National University, Busan 46241, Korea)

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.

Suggested Citation

  • Ji-Myong Kim & Kiyoung Son & Youngmi Yoo & Donghoon Lee & Dae Young Kim, 2018. "Identifying Risk Indicators of Building Damage Due to Typhoons: Focusing on Cases of South Korea," Sustainability, MDPI, vol. 10(11), pages 1-12, October.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:3947-:d:179215
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    References listed on IDEAS

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    1. Dakshina Silva & Jamie Kruse & Yongsheng Wang, 2008. "Spatial dependencies in wind-related housing damage," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 47(3), pages 317-330, December.
    2. Eric Tate & Susan L Cutter & Melissa Berry, 2010. "Integrated Multihazard Mapping," Environment and Planning B, , vol. 37(4), pages 646-663, August.
    3. J. M. Kim & P. K. Woods & Y. J. Park & K. Son, 2016. "Estimating the Texas Windstorm Insurance Association claim payout of commercial buildings from Hurricane Ike," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 405-424, October.
    4. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
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    Cited by:

    1. Oh, Seongmun & Jufri, Fauzan Hanif & Choi, Min-Hee & Jung, Jaesung, 2022. "A study of tropical cyclone impact on the power distribution grid in South Korea for estimating damage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    2. Ji-Myong Kim & Taehui Kim & Kiyoung Son & Sang-Guk Yum & Sungjin Ahn, 2019. "Measuring Vulnerability of Typhoon in Residential Facilities: Focusing on Typhoon Maemi in South Korea," Sustainability, MDPI, vol. 11(10), pages 1-11, May.
    3. Zheng Zhou & Kaizhi Dong & Ziwei Fang & Yang Liu, 2022. "A Two-Stage Approach for Damage Diagnosis of Structures Based on a Fully Distributed Strain Mode under Multigain Feedback Control," Sustainability, MDPI, vol. 14(16), pages 1-25, August.

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