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    Identifying effective management factors across human errors – A case in elevator installation

    260399.pdf (911.0Kb)
    Access Status
    Open access
    Authors
    Liao, P.
    Ma, Z.
    Chong, Heap Yih
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Liao, P. and Ma, Z. and Chong, H.Y. 2017. Identifying effective management factors across human errors – A case in elevator installation. KSCE Journal of Civil Engineering. 22 (9): pp. 3204-3214.
    Source Title
    KSCE Journal of Civil Engineering
    DOI
    10.1007/s12205-017-1726-z
    ISSN
    1226-7988
    School
    School of Design and the Built Environment
    Remarks

    The final publication is available at Springer via http://dx.doi.org/10.1007/s12205-017-1726-z

    URI
    http://hdl.handle.net/20.500.11937/61766
    Collection
    • Curtin Research Publications
    Abstract

    Human errors are recognized as the main factor in causing construction accidents. Previous studies mainly focused on justifying theories associated with human errors and hardly quantifying the causal relations between external stimuli and human errors. Hence, the aim of this research is to develop comprehensive management measurements for addressing human errors in construction projects. Deductive reasoning was used to describe the methodological process. Firstly, we constructed a theoretical model of human errors based on Cognitive Reliability and Error Analysis Method (CREAM) and knowledge-combined structure learning algorithm. Then, Bootstrap method was adopted to verify the reliability of network topology, while the similarity-flooding algorithm was used to analyze similarity of factors across various causal models for their commonalities. Subsequently, Bayesian parameter estimation was to analyze the sensitivity of the nodes. The results show that inadequate quality control, design failure and inattention are the most fundamental causes of human errors in promoting safety management. This research has proposed an analytical approach that consolidated the influential mechanics to reflect the overall influence of a root cause in the human error. Ultimately, the research lays an analytical foundation for safety management research in the future.

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