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Quantitative assessment of disaster resilience: An empirical study on the importance of post-disaster recovery costs

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  • Yu, Soonyoung
  • Kim, Sung-Wook
  • Oh, Chang-Whan
  • An, Hyunuk
  • Kim, Jin-Man

Abstract

Recovery costs are as important as losses for decision-making in disaster mitigation given that recovery costs reflect the restorative capacity of affected regions. Hence, this study analyses recovery costs. Results show that the total post-disaster recovery costs in Korea are on average one and a half times the actual losses, mainly because of the private sector. This ratio depends on the hazard type. In Korea, the highest ratio (almost four) arises after heavy rains because of the weak restorative capacity of river systems to heavy rains. The study introduces the community resilience cost index (CRCI), obtained by adding recovery costs and losses and dividing the resultant sum by the magnitude of exposure levels to quantify national and regional resilience. Results show that the recovery cost is an essential component for assessing resilience. In particular, the high ratio of recovery costs to losses owing to heavy rains changes the priorities determined by losses only. The key contribution of this work is that the ratios between losses and recovery costs can estimate the recovery costs based on losses given the high correlation. The study ascertains the most vulnerable system and explains why this is so through analyzing the recovery costs. The importance of recovery costs in quantitative resilience assessments is exemplified. Last, the CRCI is transferrable to other countries to assess their resilience and to establish their priorities and vulnerabilities.

Suggested Citation

  • Yu, Soonyoung & Kim, Sung-Wook & Oh, Chang-Whan & An, Hyunuk & Kim, Jin-Man, 2015. "Quantitative assessment of disaster resilience: An empirical study on the importance of post-disaster recovery costs," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 6-17.
  • Handle: RePEc:eee:reensy:v:137:y:2015:i:c:p:6-17
    DOI: 10.1016/j.ress.2014.12.007
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    References listed on IDEAS

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    1. Jidong Wu & Ning Li & Stéphane Hallegatte & Peijun Shi & Aijun Hu & Xueqin Liu, 2012. "Regional indirect economic impact evaluation of the 2008 Wenchuan Earthquake," Post-Print hal-00716669, HAL.
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    Cited by:

    1. Li Sun & Bozidar Stojadinovic & Giovanni Sansavini, 2019. "Agent‐Based Recovery Model for Seismic Resilience Evaluation of Electrified Communities," Risk Analysis, John Wiley & Sons, vol. 39(7), pages 1597-1614, July.
    2. Young Seok Song & Moo Jong Park, 2018. "A Study on Estimation Equation for Damage and Recovery Costs Considering Human Losses Focused on Natural Disasters in the Republic of Korea," Sustainability, MDPI, vol. 10(9), pages 1-16, August.
    3. Sungki Kim & Sanggyun Choi & Chanho Kim, 2021. "The Framework for Measuring Port Resilience in Korean Port Case," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    4. Victor Cantillo & Luis F. Macea & Miguel Jaller, 2019. "Assessing Vulnerability of Transportation Networks for Disaster Response Operations," Networks and Spatial Economics, Springer, vol. 19(1), pages 243-273, March.
    5. Yodo, Nita & Wang, Pingfeng, 2018. "A control-guided failure restoration framework for the design of resilient engineering systems," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 179-190.
    6. Cao, Xinhu & Lam, Jasmine Siu Lee, 2018. "Simulation-based catastrophe-induced port loss estimation," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 1-12.

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