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Assessing regional typhoon risk of disaster management by clustering typhoon paths

Author

Listed:
  • Ji-Myong Kim

    (Texas A&M University)

  • Kiyoung Son

    (University of Ulsan)

  • Young-Jae Kim

    (Yeungnam University)

Abstract

Many countries are affected by typhoons and cyclones. Huge damages are caused by these natural disasters. Therefore, loss prediction models are required to ensure that society remains resilient to natural disasters, including typhoons. Although previous studies have focused on identifying strategies for mitigating typhoon damages, the relationships between the characteristics of the built environment and the extent of typhoon damages have not been sufficiently examined. The purpose of this study is to identify the features of typhoon damages and to develop a metric for estimating the impact of built environment vulnerability on financial loss using the data of types 1 and 2 typhoons. Typhoon damage data (loss ratios) recorded at the provincial level were used as the dependent variable. The independent variables were categorized into two types: typhoon characteristics and built environment indicators. The results obtained from the regression models showed that the loss ratios of type 1 typhoons were correlated with wind speed, rainfall, and number of cutting slopes, while the extent of financial loss caused by type 2 typhoons was mainly correlated with the meteorological indicators. The results obtained with the loss prediction models developed in this study would help public disaster managers develop different strategies for typhoon risk mitigation.

Suggested Citation

  • Ji-Myong Kim & Kiyoung Son & Young-Jae Kim, 2019. "Assessing regional typhoon risk of disaster management by clustering typhoon paths," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(5), pages 2083-2096, October.
    • Handle: RePEc:spr:endesu:v:21:y:2019:i:5:d:10.1007_s10668-018-0086-2
    DOI: 10.1007/s10668-018-0086-2
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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. 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.
    3. Ana Cruz & Norio Okada, 2008. "Consideration of natural hazards in the design and risk management of industrial facilities," 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. 44(2), pages 213-227, February.
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    Cited by:

    1. Zhicheng Gao & Rongjin Wan & Qian Ye & Weiguo Fan & Shihui Guo & Sergio Ulgiati & Xiaobin Dong, 2020. "Typhoon Disaster Risk Assessment Based on Emergy Theory: A Case Study of Zhuhai City, Guangdong Province, China," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    2. Hai Sun & Jin Wang & Wentao Ye, 2021. "A Data Augmentation-Based Evaluation System for Regional Direct Economic Losses of Storm Surge Disasters," IJERPH, MDPI, vol. 18(6), pages 1-23, March.
    3. Yanyan Liu & Keping Li & Dongyang Yan & Shuang Gu, 2023. "The prediction of disaster risk paths based on IECNN model," 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. 117(1), pages 163-188, May.

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