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Modeling of damage-related earthquake losses in a moderate seismic-prone country and cost–benefit evaluation of retrofit investments: application to France

Author

Listed:
  • Ismaël Riedel

    (Université Grenoble Alpes
    SCORE)

  • Philippe Guéguen

    (Université Grenoble Alpes)

Abstract

We performed large-scale earthquake economic loss estimations for France and cost–benefit analyses for several French cities by developing a semiempirical, intensity-based approach. The proposed methodology is inexpensive and easily applicable in case of a paucity of detailed information regarding the specific regional seismic hazard and the structural characteristics of the building stock, which is of particular importance in moderate-to-low seismic hazard regions. The exposure model is derived from census datasets, and the seismic vulnerability distribution of buildings is calculated using data mining techniques. Several hypothetical, large-scale retrofit scenarios are proposed, with increasing levels of investment. These cities, in their respective reinforced states, are then subjected to a series of hazard scenarios. Seismic hazard data for different return periods are calculated from regulatory accelerations from French seismic zoning. Loss estimations for the original (non-reinforced) configuration show high levels of expected building repair and replacement costs for all time spans. Finally, the benefits in terms of damage avoidance are compared with the costs of each retrofit measure. Relatively limited strengthening investments reduce the probability of building collapse, which is the main cause of human casualties. However, the results of this study suggest that retrofitting is, on average, only cost-effective in the parts of France with the highest seismicity and over the longest time horizons.

Suggested Citation

  • Ismaël Riedel & Philippe Guéguen, 2018. "Modeling of damage-related earthquake losses in a moderate seismic-prone country and cost–benefit evaluation of retrofit investments: application to France," 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. 90(2), pages 639-662, January.
  • Handle: RePEc:spr:nathaz:v:90:y:2018:i:2:d:10.1007_s11069-017-3061-6
    DOI: 10.1007/s11069-017-3061-6
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    References listed on IDEAS

    as
    1. Ismaël Riedel & Philippe Guéguen & Mauro Dalla Mura & Erwan Pathier & Thomas Leduc & Jocelyn Chanussot, 2015. "Seismic vulnerability assessment of urban environments in moderate-to-low seismic hazard regions using association rule learning and support vector machine methods," 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. 76(2), pages 1111-1141, March.
    2. John Whitehead & Adam Rose, 2009. "Estimating environmental benefits of natural hazard mitigation with data transfer: results from a benefit-cost analysis of Federal Emergency Management Agency hazard mitigation grants," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 14(7), pages 655-676, October.
    3. Jairo Valcárcel & Miguel Mora & Omar Cardona & Lluis Pujades & Alex Barbat & Gabriel Bernal, 2013. "Methodology and applications for the benefit cost analysis of the seismic risk reduction in building portfolios at broadscale," 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. 69(1), pages 845-868, October.
    4. John Douglas & Thomas Ulrich & Caterina Negulescu, 2013. "Risk-targeted seismic design maps for mainland France," 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. 65(3), pages 1999-2013, February.
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    Cited by:

    1. 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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