Authors
Hassan Malekitabar, Abdollah Ardeshir, Mohammad Hassan Sebt, Rudi Stouffs
Publication date
2016/2/1
Journal
Safety science
Volume
82
Pages
445-455
Publisher
Elsevier
Description
Automatic identification of construction safety issues using Building Information Models requires an understanding of the safety risk drivers that are detectable during the design phase. However, literature is scarce on risk identification tools and no set of drivers has been suggested to date to address construction accidents. Plenty of accidents do occur under circumstances that can be distinguished by analyzing project documents, but available BIM-based tools are currently limited to checking the clauses of safety standards. This research provides five sets of safety risk drivers that can influence either the probability or the consequences of an accident, the application of which helps identify more than 40% of potential fatalities in construction projects. The results reflect the design attributes and environmental conditions found playing a key role in the occurrence of 363 accidents reported by three different sources, and …
Total citations
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Scholar articles
H Malekitabar, A Ardeshir, MH Sebt, R Stouffs - Safety science, 2016