Decision Analysis Applied to Natural Hazards

Herbert H. Einstein, Rita L. Sousa

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Formal methods to handle decision-making under uncertainty that have been created for business management lend themselves to applications in many other areas, in which uncertainties play a major role. Hence, the authors and their co-workers have applied decision analysis to landslides since the 1980′s but many other approaches to landslide assessment and management have in principle done so. The keynote lecture itself will illustrate the application of decision analysis with many examples. For this reason, we concentrate in this paper on the principles of decision-making under uncertainty and the concept of using these principles in hazard and risk analysis of natural threats. We also like to note that what we present here is a summary of our past work. The paper starts with an introduction to the decision-making process and its application to natural threats. Risk management of natural threats is then demonstrated in detail with decision trees and Bayesian networks. This leads to sensitivity analyses to determine which risk management action is most effective.

Original languageEnglish (US)
Title of host publication18th International Probabilistic Workshop, IPW 2020
EditorsJosé C. Matos, Paulo B. Lourenço, Daniel V. Oliveira, Jorge Branco, Dirk Proske, Rui A. Silva, Hélder S. Sousa
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages11
ISBN (Print)9783030736156
StatePublished - 2021
Event18th International Probabilistic Workshop, IPW 2020 - Virtual, Online
Duration: May 12 2021May 14 2021

Publication series

NameLecture Notes in Civil Engineering
Volume153 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565


Conference18th International Probabilistic Workshop, IPW 2020
CityVirtual, Online


  • Bayesian networks
  • Decision making
  • Landslides
  • Natural threats

ASJC Scopus subject areas

  • Civil and Structural Engineering


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