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Evaluation of earthquake mitigation measures to reduce economic and human losses: a case study to residential property owners in the metropolitan area of Shiraz, Iran

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  • Mehdi Sadeghi
  • Stefan Hochrainer-Stigler
  • Mohsen Ghafory-Ashtiany

Abstract

Iran is located in a highly seismic active region, and building structures, therefore, need to be designed and constructed to withstand major earthquakes. Structural mitigation measures are now seen as one key element to reduce economic as well as human losses for today and in the future. However, the costs and benefits of various options are difficult to be assessed and usually done without considering both human and economic aspects. This paper should fill part of this gap and performs an in-depth earthquake risk analysis for Shiraz city, in Iran. Additionally, the effects of different mitigation measures for buildings and corresponding changes in risk levels have been investigated. Probabilistic seismic hazard analysis is used to prepare the hazard curves, to be used in the probabilistic cost-benefit analysis of buildings to investigate the effects of using different strengthening strategies. Regarding the importance of the assessment of human casualties during earthquakes, additional cost-benefit ratios were calculated by considering the value of statistical life and performing sensitivity analysis. The results show that considering the value of statistical life in cost-benefit analysis can significantly increase the structural cost-benefit ratios. This has important implications for the decision support as well as policy making side in Iran, and we conclude with suggestions how these issues could be addressed in the future using a risk-layering approach. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Mehdi Sadeghi & Stefan Hochrainer-Stigler & Mohsen Ghafory-Ashtiany, 2015. "Evaluation of earthquake mitigation measures to reduce economic and human losses: a case study to residential property owners in the metropolitan area of Shiraz, Iran," 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. 78(3), pages 1811-1826, September.
    • Handle: RePEc:spr:nathaz:v:78:y:2015:i:3:p:1811-1826
    DOI: 10.1007/s11069-015-1801-z
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    References listed on IDEAS

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    1. Stéphane Hallegatte & Valentin Przyluski, 2010. "The Economics of Natural Disasters," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 11(02), pages 14-24, July.
    2. Zbigniew Kundzewicz & Nicola Lugeri & Rutger Dankers & Yukiko Hirabayashi & Petra Döll & Iwona Pińskwar & Tomasz Dysarz & Stefan Hochrainer & Piotr Matczak, 2010. "Assessing river flood risk and adaptation in Europe—review of projections for the future," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 15(7), pages 641-656, October.
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    5. Viscusi, W Kip, 1993. "The Value of Risks to Life and Health," Journal of Economic Literature, American Economic Association, vol. 31(4), pages 1912-1946, December.
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    Cited by:

    1. Aditi Kharb & Sandesh Bhandari & Maria Moitinho de Almeida & Rafael Castro Delgado & Pedro Arcos González & Sandy Tubeuf, 2022. "Valuing Human Impact of Natural Disasters: A Review of Methods," IJERPH, MDPI, vol. 19(18), pages 1-11, September.
    2. Stefan Hochrainer-Stigler & JoAnne Linnerooth-Bayer & Junko Mochizuki, 2019. "Flood Proofing Low-Income Houses in India: an Application of Climate-Sensitive Probabilistic Benefit-Cost Analysis," Economics of Disasters and Climate Change, Springer, vol. 3(1), pages 23-38, April.
    3. Mehdi Sadeghi & Mohsen Ghafory-Ashtiany & Naghmeh Pakdel-Lahiji, 2015. "Developing seismic vulnerability curves for typical Iranian buildings," Journal of Risk and Reliability, , vol. 229(6), pages 627-640, December.
    4. Morshedi, Mohamad Ali & Kashani, Hamed, 2022. "Assessment of vulnerability reduction policies: Integration of economic and cognitive models of decision-making," Reliability Engineering and System Safety, Elsevier, vol. 217(C).

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