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    Systemic Modelling of Design Error Causation in Social Infrastructure Projects

    216731_216731.pdf (417.4Kb)
    Access Status
    Open access
    Authors
    Love, Peter
    Lopez, Robert
    Goh, Yang Miang
    Davis, Peter
    Date
    2011
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Love, P. and Lopez, R. and Goh, Y.M. and Davis, P. 2011. Systemic Modelling of Design Error Causation in Social Infrastructure Projects, in Proceedings of the Twelfth East Asia-Pacific Conference on Structural Engineering and Construction - EASEC12. Procedia Engineering. 14: pp. 161-168.
    Source Title
    Procedia Engineering 14 The Proceedings of the Twelfth East Asia-Pacific Conference on Structural Engineering and Construction EASEC12
    Source Conference
    EASEC-12
    DOI
    10.1016/j.proeng.2011.07.019
    ISSN
    1877-7058
    School
    School of Built Environment
    Remarks

    This open access article is distributed under the Creative Commons license http://creativecommons.org/licenses/by-nc-nd/3.0/

    URI
    http://hdl.handle.net/20.500.11937/41124
    Collection
    • Curtin Research Publications
    Abstract

    Design errors contribute significantly to cost and schedule growth in social infrastructure projects and to engineering failures, which can result in accidents and loss of life. Despite considerable research that has addressed their error causation they still remain prevalent in projects. This paper develops a conceptual model of the underlying conditions that contribute to design errors in social infrastructure projects. A systemic model of design error causation is then propagated. The research suggests that a multitude of strategies should be adopted in congruence to prevent design errors from occurring and so ensure that safety and project performance are ameliorated.

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      Design errors can adversely influence project performance and can contribute to failures, accidents, and loss of life. Although there has been a considerable amount of research that has examined design error causation, ...
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