IDEAS home Printed from https://ideas.repec.org/a/taf/jriskr/v8y2005i1p3-17.html
   My bibliography  Save this article

Expert quantification of uncertainties in a risk analysis for an infrastructure project

Author

Listed:
  • Arno Willems
  • Mart Janssen **
  • Chris Verstegen **
  • Tim Bedford

Abstract

It is shown how calibration methods for expert judgement can be used to establish consensus about the uncertainties involved in a complex project risk analysis, where no consensus was present before. A case study is presented in which a project risk analysis was carried out for a large scale infrastructure project in the Netherlands. This involved the use of new and untried technology to reduce the frequency and scale of dredging operations over the long term by subtly changing the flow in a navigable river. The technology was to be applied at two separate sites. The project risk analysis was needed to identify the cheapest method of carrying out the work under the requirement that the whole project be completed with 95% probability by the year 2005. The decision problem was modelled using an influence diagram, which was quantified by expert judgement and made use of value of information techniques. Cooke's classical method was used to calibrate the experts. This is the first time that this method has been used to carry out a value of information study.

Suggested Citation

  • Arno Willems & Mart Janssen ** & Chris Verstegen ** & Tim Bedford, 2005. "Expert quantification of uncertainties in a risk analysis for an infrastructure project," Journal of Risk Research, Taylor & Francis Journals, vol. 8(1), pages 3-17, January.
    • Handle: RePEc:taf:jriskr:v:8:y:2005:i:1:p:3-17
    DOI: 10.1080/1366987032000105298
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1366987032000105298
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1366987032000105298?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roland W. Scholz & Ralf Hansmann, 2007. "Combining Experts' Risk Judgments on Technology Performance of Phytoremediation: Self‐Confidence Ratings, Averaging Procedures, and Formative Consensus Building," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 225-240, February.
    2. Cooke, Roger M. & Goossens, Louis L.H.J., 2008. "TU Delft expert judgment data base," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 657-674.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:jriskr:v:8:y:2005:i:1:p:3-17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJRR20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.