The BIM impact on work safety planning and management in the AEC industry

Authors

DOI:

https://doi.org/10.20397/2177-6652/2026.v26i1.3131

Keywords:

Modelagem da informação; Prevenção; Construção; Riscos.

Abstract

Abstract

Objective: To summarize the current scenario of BIM application for occupational safety management in the planning and design phases.

Methodology: A systematic literature review was developed, based on a research protocol and a PRISMA flowchart.

Originality: The work provides a classification of the main occupational risks analyzed with the use of BIM, in addition to providing a current overview of studies on occupational safety management before the start of construction, with a focus on design and planning.

Results: It was possible to observe the use of automatic rule verification technologies, 4D BIM, geographic information systems, simulations, immersive technologies and ontologies. Among the main anticipated occupational risks, the risks of accidents involving construction planning and layout issues were addressed by more than 40% of the articles, followed by risks of falling people, objects and collisions. The main limitation of risk management is the lack of prior experience and training of users to develop safety measures and use current technologies.

Theoretical contributions: The prediction of occupational risks provides support for prioritizing risks to be studied, and the identification of technologies and their limitations serves as a basis for optimizations in future research.

Contributions to management: The work highlights how BIM can assist in decision-making, early identification of risks and efficient planning of occupational safety.

Keywords: Information modeling; Prevention; Construction; Risks.

Author Biographies

Sabrina Rayane Silva Lucena, University of Pernambuco

Graduated in Civil Engineering from the Polytechnic School of Pernambuco (POLI), where she is currently pursuing her Master's in BIM. In the academic field, she was a programming tutor in the 2019.1 semester, during which she won the Academic Highlight award, and an Architecture tutor in the 2021.2 semester. She participated in scientific initiation projects in the area of ​​renewable energy sources and sustainability with the support of CNPq. She was part of the Junior Company associated with POLI, where she gained experience in civil construction projects and developed commercial and strategic techniques. Soon after, she worked on the development of modeling, dimensioning, and documentation projects for building installations. She is currently a member of the Ergonomics, Hygiene, and Occupational Safety Research Group at the University of Pernambuco - POLI/UPE, where she conducts research focused on BIM. In the professional field, she works in the area of ​​civil construction management.

Felipe Mendes da Cruz, Universidade de Pernambuco (UPE)

Professor Adjunto da Escola Politécnica da Universidade de Pernambuco (UPE)

https://orcid.org/0000-0002-0163-465X

Dra Bianca Maria Vasconcelos, University of Pernambuco

She is an Assistant Professor at the Polytechnic School of the University of Pernambuco (UPE), a permanent professor in the Postgraduate Program in Civil Engineering (PEC) and leader of the research group registered with CNPq "Ergonomics, Hygiene and Safety at Work". She also serves as assistant coordinator of the Research Ethics Committee (CEP/Rectorate) and is the area coordinator of the Structuring Teaching Nucleus (NDE) of the Civil Engineering course. She is the editor of REPA (Journal of Engineering and Applied Research), a member of the scientific committee of SHO (SPOSHO/PT), a member of the GT Formación and GT Design and aesthetics of infrastructures of RUITEM (Red Universitaria Iberoamericana de Territorio y Movilidad) and a member of the GT Accessibility and Built Environment of ABERGO (Brazilian Ergonomics Association). Coordinated/coordinates research projects with funding from public funding agencies (CAPES, CNPq, FACEPE) and partnerships with industry. Has experience in Accessibility and assistive technologies; BIM; Construction 4.0; Macroergonomics; Occupational Safety in Construction.

References

Abune’meh, M., El Meouche, R., Hijaze, I., Mebarki, A., & Shahrour, I. (2016). Optimal construction site layout based on risk spatial variability. Automation in Construction, 70, 167-177. https://doi.org/10.1016/j.autcon.2016.06.014

Akram, R., Thaheem, M. J., Nasir, A. R., Ali, T. H., & Khan, S. (2019). Exploring the role of building information modeling in construction safety through science mapping. Safety Science, 120, 456-470. https://doi.org/10.1016/j.ssci.2019.07.036

Andrich, W., Daniotti, B., Pavan, A., & Mirarchi, C. (2022). Check and validation od building information models in detailed design phase: A check flow to pavê the way for BIM based renovation and construction processes. Buildings, 12(2), 154. https://doi.org/10.3390/buildings12020154

Badran, D., Alzubaidi, R., & Venkatachalam, S. (2020). BIM based risk management for design bid build (DBB) design process in the United Arab Emirates: a conceptual framework. International Journal of System Assurance Engineering and Management, 11, 1339-1361. https://doi.org/10.1007/s13198-020-00993-w

Behm, M. (2005). Linking construction fatalities to the design for construction safety concept. Safety Science, 43(8), 589-611. https://doi.org/10.1016/j.ssci.2005.04.002

Caldart, C. W., & Scheer, S. (2022). Construction site design planning using 4D BIM modeling. Gestão & Produção, 29. https://doi.org/10.1590/1806-9649-2022v29e5312

Charef, R., Alaka, H., & Emmitt, S. (2018). Beyond the third dimension of BIM: A systematic review of literature and assessment of professional views. Journal of Building Engineering, 19, 242-257. https://doi.org/10.1016/j.jobe.2018.04.028

Chen, D., Zhou, J., Suan, P., & Zhang, J. (2022). Integrating knowledge management and BIM for safety risk identification of deep foundation pit construction. Engineering, Construction and Architectural Management, 30(8). https://doi.org/10.1108/ECAM-10-2021-0934

Chen, F., & Liu, Y. (2015). Innovation performance study on the construction safety of urban subway engineering based on bayesian network: a case study of bim innovation project. Journal of Applied Science and Engineering, 18(3). https://doi.org/10.6180/jase.2015.18.3.03

Chen, F., Wang, H., Xu, G., Ji, H., Ding, S., & Wei, Y. (2020). Data-driven safety enhancing strategies for risk networks in construction engineering. Reliability Engineering & System Safety, 97. https://doi.org/10.1016/j.ress.2020.106806

Choe, S., & Leite, F. (2017). Construction safety planning: Site-specific temporal and spatial information integration. Automation in Construction, 84, 335-344. https://doi.org/10.1016/j.autcon.2017.09.007

Collado-Mariscal, D., Cortés-Pérez, J. P., Cortés-Pérez, A., & Cuevas-Murillo, A. (2022). Proposal for the Integration of Health and Safety into the Design of Road Projects with BIM. Buildings, 12(10). https://doi.org/10.3390/buildings12101753

Collinge, W. H., Farghaly, K., Mosleh, M. H., Manu, P., Cheung, C. M., & Osorio-Sandoval, C. A. (2022). BIM-based construction safety risk library. Automation in Construction, 141, 104391. https://doi.org/10.1016/j.autcon.2022.104391

Deng, L., Zhong, M., Liao, L., Peng, L., & Lai, S. (2019). Research on safety management application of dangerous sources in engineering construction based on bim technology. Advances in Civil Engineering. https://doi.org/10.1155/2019/7450426

Dong, C., Wang, F., Li, H., Ding, L., & Luo, H. (2018). Knowledge dynamics-integrated map as a blueprint for system development: Applications to safety risk management in Wuhan metro project. Automation in Construction, 93, 112-122. https://doi.org/10.1016/j.autcon.2018.05.014

Farghaly, K., Soman, R. K., Collinge, W., Mosleh, M. H., Manu, P., & Cheung, C. M. (2022). Construction safety ontology development and alignment with industry foundation classes (IFC). Journal of Information Technology in Construction, 27, 94-108. https://doi.org/10.36680/j.itcon.2022.005

Getuli, V., Capone, P., Bruttini, A., & Isaac, S. (2020). BIM-based immersive Virtual Reality for construction workspace planning: A safety-oriented approach. Automation in Construction, 114, 103160. https://doi.org/10.1016/j.autcon.2020.103160

Getuli, V., Ventura, S. M., Capone, P., & Ciribini, A. L. C. (2017). BIM-based code checking for construction health and safety. Procedia Engineering, 196, 454-461. https://doi.org/10.1016/j.proeng.2017.07.224

Golabchi, A., Han, S., & Abourizk, S. (2018). A simulation and visualization-based framework of labor efficiency and safety analysis for prevention through design and planning. Automation in Construction, 96, 310-323. https://doi.org/10.1016/j.autcon.2018.10.001

Guo, H. L., Li, H., & Li, V (2013). VP-based safety management in large-scale construction projects: A conceptual framework. Automation in Construction, 34, 16-24. https://doi.org/10.1016/j.autcon.2012.10.013

Guo, K., & Zhang, L. (2021). Multi-source information fusion for safety risk assessment in underground tunnels. Knowledge-Based Systems, 227. https://doi.org/10.1016/j.knosys.2021.107210

Hare, B., Kumar, N., & Campbell, J. (2020). Impact of a multi-media digital tool on identifying construction hazards under the UK construction design and management regulations. Journal of Information Technology in Construction, 25, 482-499. https://doi.org/10.36680/J.ITCON.2020.028

Herzanita, A., Latief, Y., & Lestari, F. (2022). The application of BIM-based OHSMS information systems to improve safety performance. International Journal of Safety and Security Engineering, 12(1), 31-38. https://doi.org/10.18280/ijsse.120104

Hongling, G., Yantao, Y., Weisheng, Z., & Yan, L. (2016). BIM and safety rules based automated identification of unsafe design factors in construction. Procedia Engineering, 164, 467-472. https://doi.org/10.1016/j.proeng.2016.11.646

Hossain, Md. A., Abbott, E. L. S., Chua, D. K. H., Qui, N. T., & Goh, Y. M. (2018). Design-for-Safety knowledge library for BIM-integrated safety risk reviews. Automation in Construction, 94, 290-302. https://doi.org/10.1016/j.autcon.2018.07.010

Hossain, Md. M., & Ahmed, S. (2019). Developing an automated safety checking system using BIM: a case study in the Bangladeshi construction industry. International Journal of Construction Management, 22(7), 1206-1224. https://doi.org/10.1080/15623599.2019.1686833

Ji, Y., & Leite, F. (2018). Automated tower crane planning: leveraging 4-dimensional BIM and rule-based checking. Automation in Construction, 93, 78-90. https://doi.org/10.1016/j.autcon.2018.05.003

Jin, Z., Gambatese, J., Liu, D., & Dharmapalan, V. (2019). Using 4D BIM to assess construction risks during the design phase. Engineering, Construction and Architectural Management, 26(11). https://doi.org/10.1108/ECAM-09-2018-0379

Johansen, K. W., Schultz, C., & Teizer, J. (2023). Hazard ontology and 4D benchmark model for facilitation of automated construction safety requirement analysis. Computer-Aided Civil and Infrastructure Engineering. https://doi.org/10.1111/mice.12988

Khan, N., Ali, A. K., Skibniewski, M. J., Lee, D. Y., & Park, C. (2019). Excavation safety modeling approach using BIM and VPL. Advances in Civil Engineering. https://doi.org/10.1155/2019/1515808

Khan, M. S., Park. J., & Seo, J. (2021). Geotechnical property modeling and construction safety zoning based on GIS and BIM integration. Applied Sciences, 11(9). https://doi.org/10.3390/app11094004

Kim, H., Lee, H.-S., Park. M., Chung, B., & Hwang, S. (2015). Information Retrieval Framework for hazard identification in construction. Journal of Computing in Civil Engineering, 29(3). https://doi.org/10.1061/(ASCE)CP.1943-5487.0000340

Kim, K., Cho, Y., & Zhang, S. (2016). Integrating work sequences and temporary structures into safety planning: Automated scaffolding-related safety hazard identification and prevention in BIM. Automation in Construction, 70, 128-142. https://doi.org/10.1016/j.autcon.2016.06.012

Kim, K., Cho, Y., & Kim, K. (2018a). BIM-driven automated decision support system for safety planning of temporary structures. Journal of Construction Engineering and Management, 144(8). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001519

Kim, K., Cho, Y., & Kim, K. (2018b). BIM-based decision-making framework for scaffolding planning. Journal of Management in Engineering, 34(6). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000656

Kim, K., & Teizer, J. (2014). Automatic design and planning of scaffolding systems using building information modeling. Advanced Engineering Informatics, 28(1), 66-80. https://doi.org/10.1016/j.aei.2013.12.002

Koutamanis, A. (2020). Dimensionality in BIM: Why BIM cannot have more than four dimensions?. Automation in Construction, 114, 103153. https://doi.org/10.1016/j.autcon.2020.103153

Li, B., Schultz, C., Teizer, J., Golovina, O., & Melzner, J. (2022). Towards a unifying domain model of construction safety, health and well-being: SafeConDM. Advanced Engineering Informatics, 51. https://doi.org/10.1016/j.aei.2021.101487

Li, M., Yu, M., Liu, P. (2018). An automated safety risk recognition mechanism for underground construction at the pre-construction stage based on BIM. Automation in Construction, 91, 284-292. https://doi.org/10.1016/j.autcon.2018.03.013

Lu, Y., Gong, P., Tang, Y., Sun, S., & Li, Q. (2021). BIM-integrated construction safety risk assessment at the design stage of building projects. Automation in Construction, 124. https://doi.org/10.1016/j.autcon.2021.103553

Luo, H., & Gong, P. (2015). A BIM-based code compliance checking process of deep foundation construction plans. Journal of Intelligent & Robotic Systems, 79, 549-576. https://doi.org/10.1007/s10846-014-0120-z

Martínez-Aires, M. D., López-Alonso, M., & Martínez-Rojas, M. (2018). Building information modeling and safety management: A systematic review. Safety Science, 101, 11-18. https://doi.org/10.1016/j.ssci.2017.08.015

Marzouk, M., & Al Daour, I. (2018). Planning labor evacuation for construction sites using BIM and agent-based simulation. Safety Science, 109, 174-185. https://doi.org/10.1016/j.ssci.2018.04.023

Melzner, J., Zhang, S., Teizer, J., & Bargstadt, H.-J. (2013). A case study on automated safety compliance checking to assist fall protection design and planning in building information models. Construction Management and Economics, 31(6), 661-674. https://doi.org/10.1080/01446193.2013.780662

Moshtaghian, F., Golabchi, M., & Noorzai, E. (2020). A framework to dynamic identification of project risks. Smart and Sustainable Built Environment, 9(4), 375-393. https://doi.org/10.1108/SASBE-09-2019-0123

Muzafar, M. (2021). Building information modelling to mitigate the health and safety risks associated with the construction industry: a review. International Journal of Occupational Safety and Ergonomics, 27(4), 1087-1095. https://doi.org/10.1080/10803548.2019.1689719

Olugboyega, O., & Windapo, A. (2019). Building information modeling-enabled construction safety culture and maturity model: a grounded theory approach. Frontiers in Built Environment, 5(35), 12. https://doi.org/10.3389/fbuil.2019.00035

Peng, L., & Chua, D. K. H. (2017). Decision support for mobile crane lifting plan with Building Information Modelling (BIM). Procedia Engineering, 182, 563-570. https://doi.org/10.1016/j.proeng.2017.03.154

Pinto, A., Nunes, I. L., & Ribeiro, R. A. (2011). Occupational risk assessment in construction industry – Overview and reflection. Safety Science, 49(5), 616-624. https://doi.org/10.1016/j.ssci.2011.01.003

Providakis, S., Rogers, C. D. F., & Chapman, D. N. (2019) Predictions of settlement risk induced by tunnelling using BIM and 3D visualization tools. Tunnelling and Underground Space Technology, 92. https://doi.org/10.1016/j.tust.2019.103049

Qi, J., Issa, R. R. A., Olbina, S., & Hinze, J. (2014). Use of building information modeling in design to prevent construction worker falls. Journal of Computing in Civil Engineering, 28(5). https://doi.org/10.1061/(ASCE)CP.1943-5487.0000365

Raimbaud, P., Lou, R., Danglade, F., Figueroa, P., Hernandez, J. T., & Merienne, F. (2021). A task-centred methodoloy to evaluate the design of virtual reality use interactions: A case study on hazard identification. Buildings, 11(7), 277. https://doi.org/10.3390/buildings11070277

Rodrigues, F., Antunes, F., & Matos, R. (2021). Safety plugins for risks prevention through design resourcing BIM. Construction Innovation, 21(2). DOI: https://doi.org/10.1108/CI-12-2019-0147

Rodrigues, F., Baptista, J. S., & Pinto, D. (2022). BIM Approach in Construction Safety-A Case Study on Preventing Falls from Height. Buildings, 12(1), 73. https://doi.org/10.3390/buildings12010073

Rodrigues, I. A., & Vasconcelos, B. M. (2024). Análise crítica do papel do BIM na gestão da segurança do trabalho na indústria da construção. PARC Pesquisa em Arquitetura e Construção, Campinas, SP, 15. https://doi.org/10.20396/parc.v15i00.8674162. Disponível https://periodicos.sbu.unicamp.br/ojs/index.php/parc/article/view/8674162

Rozenfeld, O., Sacks, R., Rosenfeld, Y., & Baum, H. (2010). Construction job safety analysis. Safety Science, 48(4), 491-498. https://doi.org/10.1016/j.ssci.2009.12.017

Sacks, R., Eastman, C., Lee, G., & Teicholz, P. (2018). BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Architects, Engineers and Contractors. 3. ed. John Wiley & Sons, Inc.

Schwabe, K., Teizer, J., & Konig, M. (2019). Applying rule-based model-checking to construction site layout planning tasks. Automation in Construction, 97, 205-219. https://doi.org/10.1016/j.autcon.2018.10.012

Shahtaheri, Y., Rausch, C., West, J., Hass, C., & Nahangi, M. (2017). Managing risk in modular construction using dimensional and geometric tolerance strategies. Automation in Construction, 83, 303-315. https://doi.org/10.1016/j.autcon.2017.03.011

Shen, Y., Xu, M., Lin, Y., Cui, C., Shi, X., & Liu, Y. (2022). Safety risk management of prefabricated building construction based on ontology technology in the BIM environment. Buildings, 12(6). https://doi.org/10.3390/buildings12060765

Sloot, R. N. F., Heutink, A., & Voordijk, J. T. (2019). Assessing usefulness of 4D BIM tools in risk mitigation strategies. Automation in Construction, 106. https://doi.org/10.1016/j.autcon.2019.102881

Tixier, A. J.-P., Hallowell, M. R., Rajagopalan, B., & Bowman, D. (2016). Application of machine learning to construction injury prediction. Automation in Construction, 69, 102-114. https://doi.org/10.1016/j.autcon.2016.05.016

Tixier, A. J.-P., Hallowell, M. R., Rajagopalan, B., & Bowman, D. (2017). Construction safety clash detection: Identifying safety incompatibilities among fundamental atributes using data mining. Automation in Construction, 74, 39-54. https://doi.org/10.1016/j.autcon.2016.11.001

Xiahou, X., Li, K., Li, F., Zhang, Z., Li, Q., & Gao, Y. (2022). Automatic identification and quantification of safety risks embedded in design stage: A BIM-enhanced approach. Journal of Civil Engineering & Management, 28(4), 278-291. https://doi.org/10.3846/jcem.2022.16560

Xie, P., Zhang, R., Zheng, J., & Li, Z. (2022). Automatic safety evaluation and visualization of subway station excavation based on bim-fem/fdm integrated technology. Journal of Civil Engineering & Management, 28(4), 320-336. https://doi.org/10.3846/jcem.2022.16727

Yasser, M., Rashid, I. A., Nagy, A. M., & Elbehairy, H. S. (2022). Integrated model for BIM and risk data in construction projects. Engineering Research Express, 4(4). https://doi.org/10.1088/2631-8695/acae1e

Yuan, J., Li, X., Xiahou, X., Tymvios, N., Zhou, Z., & Li, Q. (2019). Accident prevention through design (PtD): Integration of building information modeling and PtD knowledge base. Automation in Construction, 102, 86-104. https://doi.org/10.1016/j.autcon.2019.02.015

Zhang, P., Li, N., Jiang, Z., Fang, D., & Anumba, C. J. (2019). An agent-based modeling approach for understanding the effect of worker-management interactions on construction workers' safety-related behaviors. Automation in Construction, 97, 29-43. https://doi.org/10.1016/j.autcon.2018.10.015

Zhang, S., Boukamp, F., & Teizer, J. (2015). Ontology-based semantic modeling of construction safety knowledge: Towards automated safety planning for job hazard analysis (JHA). Automation in Construction, 52, 29-41. https://doi.org/10.1016/j.autcon.2015.02.005

Zhang, S., Sulankivi, K., Kiviniemi, M., Romo, I., Eastman, C. M., & Teizer, J. (2015). BIM-based fall hazard identification and prevention in construction safety planning. Safety Science, 72, 31-45. https://doi.org/10.1016/j.ssci.2014.08.001

Zhang, S., Teizer, J., Lee, J.-K., Eastman, C. M., & Venugopal, M. (2013). Building Information Modeling (BIM) and safety: Automatic safety checking of construction models and schedules. Automation in Construction, 29, 183-195. DOI: https://doi.org/10.1016/j.autcon.2012.05.006

Zhang, Z., & Pan, W. (2021). Virtual reality supported interactive tower crane layout planning for high-rise modular integrated construction. Automation in Construction, 130. https://doi.org/10.1016/j.autcon.2021.103854

Zou, Y., Kiviniemi, A., & Jones, S. W (2017). A review of risk management through BIM and BIM-related technologies. Safety Science, 97, 88-98. https://doi.org/10.1016/j.ssci.2015.12.027

Zou, Y., Kiviniemi, A., & Jones, S. W. (2016). Developing a tailored RBS linking to BIM for risk management of bridge projects. Engineering, Construction and Architectural Management, 23(6), 727-750. https://doi.org/10.1108/ECAM-01-2016-0009

Zou, Y., Kiviniemi, A., Jones, S. W., & Walsh, J. (2019). Risk information management for bridges by integrating risk breakdown structure into 3D/4D BIM. KSCE Journal of Civil Engineering, 23, 467-480. https://doi.org/10.1007/s12205-018-1924-3

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2026-06-17

How to Cite

Rayane Silva Lucena, S., da Cruz, F. M., & Maria Vasconcelos Valerio, B. (2026). The BIM impact on work safety planning and management in the AEC industry. Revista Gestão & Tecnologia, 26(1), 181–208. https://doi.org/10.20397/2177-6652/2026.v26i1.3131

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Vol. 26 No. 1 (2026)

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ARTIGO

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