A semi-probabilistic procedure for developing societal risk function

  • Hing-Ho Tsang (Lead / Corresponding author)
  • , James E. Daniell
  • , Friedemann Wenzel
  • , Amelie C. Werner

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)943-969
Number of pages27
JournalNatural Hazards
Volume92
Issue number2
Early online date27 Feb 2018
DOIs
Publication statusPublished - 1 Jun 2018

Keywords

  • Earthquake
  • Economic loss
  • Fatality
  • F–N curve
  • Recurrence relationship
  • Societal risk

ASJC Scopus subject areas

  • Water Science and Technology
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)

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