The effectiveness of an integrated BIM/UAV model in managing safety on construction sites
2020 (English)In: International Journal of Occupational Safety and Ergonomics, ISSN 1080-3548, E-ISSN 2376-9130, Vol. 26, no 4, p. 829-844Article in journal (Refereed) Published
Abstract [en]
Introduction. A variety of approaches exist to achieve better construction safety performance, but only a few consider a combination of building information modeling (BIM) and unmanned aerial vehicles (UAVs).
Method. This article presents a four-dimensional (4D) BIM/UAV-enabled safety management model based on IDEF0 language. In the first step, potential hazards are identified with the help of safety specialists’ experiences and BIM software used in the design of the structure. Then, a UAV monitors the location of the potential hazards. The third step involves the integration of the 4D BIM-based model and the information obtained from the UAV. Finally, the combined data are analyzed and interpreted, and site safety staff are notified about measures to be put in place to prevent accidents.
Results. This model shows a strong relationship between the design and construction phases by using BIM in the design phase and UAVs in the construction phase. The proposed safety model was evaluated by construction safety specialists in a two-pronged approach.
Conclusion. The number of fatal, non-fatal and property damage-causing accidents may be significantly lower when the proposed system was used.
Practical application. This model allows safety specialists to identify hazards and develop suitable mitigation strategies.
Place, publisher, year, edition, pages
Taylor & Francis, 2020. Vol. 26, no 4, p. 829-844
Keywords [en]
building information modeling, construction safety management, four-dimensional visualization, unmanned aerial vehicles, accident, article, drug safety, human, human experiment, language, software, staff
National Category
Construction Management
Identifiers
URN: urn:nbn:se:hj:diva-41871DOI: 10.1080/10803548.2018.1504487ISI: 000592012300018PubMedID: 30043680Scopus ID: 2-s2.0-85053539614Local ID: JTHBebyggdISOAI: oai:DiVA.org:hj-41871DiVA, id: diva2:1257387
2018-10-192018-10-192020-12-10Bibliographically approved