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Related Experiment Videos

Resilience Analysis of Countries under Disasters Based on Multisource Data.

Nan Zhang1,2, Hong Huang1

  • 1Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|April 7, 2017
PubMed
Summary

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This study analyzed disaster resilience in 207 countries using over 20,000 data points. Key factors like population density and GDP significantly impact national resilience, with Asia showing the lowest resilience scores.

Area of Science:

  • Disaster risk reduction
  • Global resilience studies
  • Environmental science

Background:

  • Disasters are frequent, uncertain, and destructive, necessitating improved national resilience.
  • Assessing country-level resilience is crucial for effective risk management.
  • Historical disaster data provides a basis for understanding resilience factors.

Purpose of the Study:

  • To calculate disaster severity, danger, and resilience for 207 countries.
  • To identify key factors influencing national resilience.
  • To analyze continental resilience trends and provide improvement suggestions.

Main Methods:

  • Collected over 20,000 historical disaster data points from 207 countries.
  • Utilized 6 primary indices and 38 secondary factors for resilience analysis.
Keywords:
Dangerdisasterindex systeminfluencing factorsresilience analysissensitivity analysis

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  • Performed sensitivity analysis to determine critical influencing factors.

    • Main Results:

    • A country's large area correlates with lower resilience.
    • Population density, disaster frequency, and GDP are the most critical resilience factors.
    • Oceania and South America exhibit higher resilience; Asia has the lowest.

    Conclusions:

    • National resilience has improved significantly over 50 years, particularly in developing nations.
    • Understanding key influencing factors allows for targeted resilience enhancement strategies.
    • Comprehensive resilience analysis can guide optimal policy suggestions for risk reduction.