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Loss Estimation Models and Metrics

In: Risk Assessment, Modeling and Decision Support

Author

Listed:
  • Ronald T. Eguchi

    (ImageCat Inc.)

  • Hope A. Seligson

    (ABS Consulting Inc.)

Abstract

Earthquake loss estimation — although around since the early 1970’s — has not been considered a decision-making tool until recently. Because early models were based on expert opinion with limited hand calculations, they lacked the ability to perform sensitivity studies (which could provide important insight into drivers of loss potential) or the ability to produce results in a timely fashion. The results of these early studies were generally displayed on maps and/or in the form of tables that listed potential losses to a limited number of exposure categories, e.g., residential, commercial or industrial.

Suggested Citation

  • Ronald T. Eguchi & Hope A. Seligson, 2008. "Loss Estimation Models and Metrics," Risk, Governance and Society, in: Ann Bostrom & Steven French & Sara Gottlieb (ed.), Risk Assessment, Modeling and Decision Support, chapter 6, pages 135-170, Springer.
    • Handle: RePEc:spr:rischp:978-3-540-71158-2_6
    DOI: 10.1007/978-3-540-71158-2_6
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    Cited by:

    1. Stav Shapira & Lena Novack & Yaron Bar-Dayan & Limor Aharonson-Daniel, 2016. "An Integrated and Interdisciplinary Model for Predicting the Risk of Injury and Death in Future Earthquakes," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-11, March.
    2. Stav Shapira & Tsafrir Levi & Yaron Bar-Dayan & Limor Aharonson-Daniel, 2018. "The impact of behavior on the risk of injury and death during an earthquake: a simulation-based study," 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. 91(3), pages 1059-1074, April.

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