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Research article
First published January 2002

Quantitative Risk Assessment for Landslides

Abstract

Landslides are a serious problem in many parts of the world; they cause public casualties, property damage, and loss of service, and they cost significant resources to prevent and mitigate. Traditional approaches to landslide issues generally work well, but they only implicitly consider the significant uncertainties and consequences involved. An integrated risk assessment and risk management approach corrects this limitation. Quantitative risk assessment (QRA) is an established methodology that provides input for practical risk management of landslide issues and supplements traditional approaches. QRA provides a framework for anticipating and definitively evaluating potential slope-related problems so they can be accepted or cost-effectively mitigated and the residual risks can be communicated. In QRA, the potential slope-related problems (i.e., various types and sizes of landslides) are evaluated with respect to their probability (over a particular period) or frequency of occurrence and their consequences (e.g., public casualties) if they do occur. QRA can be done correctly in various ways, with the best way depending on the specific application, ranging from global issues for developing program policy to site-specific issues for detailed slope design. However, users skilled in geotechnical engineering and risk assessment are needed to perform QRA correctly and cost-effectively and to understand the limitations of the results. Perceived limitations of QRA include accuracy issues, acceptability issues (e.g., by regulators), and aversion issues (e.g., liability). However, many of these issues are easily resolved and are not real limitations, so that QRA, although not perfect, is advantageous in many cases.

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References

1. Ho K., Leroi E., and Roberds B. Quantitative Risk Assessment—Application, Myths and Future Direction. In Proc., GeoEng2000, vol. 1, Melbourne, Australia, Nov. 2000, Technomic Publishing, Inc., Lancaster, Pa., 2000, pp. 269–312.

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Article first published: January 2002
Issue published: January 2002

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© 2002 National Academy of Sciences.
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Authors

Affiliations

William J. Roberds
Golder Associates, Inc., 18300 NE Union Hill Road, Suite 200, Redmond WA 98052
Ken K. S. Ho
Geotechnical Engineering Office, Civil Engineering Department of the Government of the Hong Kong Special Administrative Region, 12/F, Civil Engineering Building, 101 Princess Margaret Road, Homantin, Hong Kong
Eric Leroi
Geoter International, Espace 890, Route National 96, 13360 Roquevaire, France

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This article was published in Transportation Research Record: Journal of the Transportation Research Board.

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