Abstract
Falling accounts for the majority of accidents in a bridge construction project. Site safety management today relies on checklist assessment, which is dependent on the ability and experience of the evaluators. In addition, the method used to carry out site safety management today could not address the most critical factors that lead to site accidents. To go beyond the limitations of the traditional checklist method, in this study the factors of falling in construction site are analyzed in a Fault Tree (FT), and then the FT is transformed into a Bayesian Network (BN). The BN enables us to explore the probabilities of accidents happening. When compared with current cases of bridge construction in Taiwan, it is worth noting that the result from the BN model agrees with the result from traditional checklist method. In other words, the BN model was verified to be a realistic and useful model to deal with site safety management problems.
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