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Quantifying the Social Impacts of Infrastructure Systems Failure for Community Resilience Analysis

Eshghi Nezami, Mohammad Amin | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55265 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Kashani, Hamed
  7. Abstract:
  8. The purpose of this study is to present a suitable model for calculating the costs imposed on society due to deaths and injuries due to infrastructure failure due to earthquakes, which is used in the analysis of community resilience. Much research has been done to date to calculate the economic costs of infrastructure failure. However, no suitable analytical framework has been provided to quantify the costs of deaths and injuries to people due to earthquake failure. Previous research has provided methods such as the value of statistical life to quantify the social costs caused by accidents and environmental pollution. However, the literature review results in the field of seismic resilience of communities indicate a lack of appropriate models for calculating social costs due to infrastructure failure. In many studies on seismic resilience in Iran, to calculate the costs imposed on society due to deaths in natural disasters, they have used the value of statistical life calculated for countries such as the United States and exchange rate conversion. In the field of injuries, A few studies have been conducted in Iran on injury costs, and there is no accurate estimate. Inadequate estimation of social costs to society due to earthquakes can lead to incorrect policy to reduce the vulnerability of infrastructure, which will have adverse economic, political, and social consequences for society. Specifically, the low estimate of the value of statistical life makes the cost of hazards less than realistic. This low estimate of the social impacts of hazards can lead to the failure of resilience projects against the option of not doing work. In the first step, this study seeks to calculate the value of statistical life using the frameworks of revealed preferences and stated preferences, which are both methods of calculating the value of statistical life, and then using the value of statistical life to calculate the injury costs of an earthquake. The results of this study have an essential role in increasing the quality of policies in this field By increasing the accuracy of analysis and quantification of seismic resilience of communities
  9. Keywords:
  10. Community Resilience ; Stated Preference ; Infrastructure Failure ; Social Consequences ; Injury Costs ; Statistical Life Value

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