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A semi-probabilistic procedure for developing societal risk function

Author

Listed:
  • Hing-Ho Tsang

    (Swinburne University of Technology)

  • James E. Daniell

    (Karlsruhe Institute of Technology)

  • Friedemann Wenzel

    (Karlsruhe Institute of Technology)

  • Amelie C. Werner

    (Karlsruhe Institute of Technology)

Abstract

Seismic risk is typically quantified probabilistically for a single asset or evaluated through regional loss assessment for selected earthquake events. Ideally, a recurrence relationship for a loss quantity, economic loss or casualty, can be obtained for risk-informed decision-making. This can be achieved by a fully stochastic approach, for which a large amount of input information is required, whilst there is usually a lack of transparency that might hinder repeatability of the outputs. Hence, the objective of this paper is to introduce a simple and unambiguous procedure for developing parametric societal risk function based on rigorous loss modelling of response-specific probabilistic scenarios. This is then illustrated for the Greater Melbourne Region with fatality as the loss quantity. The proposed semi-probabilistic procedure can be extended to other loss quantities, as well as evaluating societal risk of other natural hazards or multiple hazards.

Suggested Citation

  • Hing-Ho Tsang & James E. Daniell & Friedemann Wenzel & Amelie C. Werner, 2018. "A semi-probabilistic procedure for developing societal risk function," 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. 92(2), pages 943-969, June.
  • Handle: RePEc:spr:nathaz:v:92:y:2018:i:2:d:10.1007_s11069-018-3233-z
    DOI: 10.1007/s11069-018-3233-z
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    References listed on IDEAS

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    1. 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. Hing-Ho Tsang, 2019. "Innovative Upscaling of Architectural Elements for Strengthening Building Structures," Sustainability, MDPI, vol. 11(9), pages 1-17, May.
    2. Celano, Francesca & Dolšek, Matjaž, 2021. "Fatality risk estimation for industrialized urban areas considering multi-hazard domino effects triggered by earthquakes," Reliability Engineering and System Safety, Elsevier, vol. 206(C).

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