Automatic identification and quantification of safety risks embedded in design stage: a BIM-enhanced approach
Abstract
Design stage plays a decisive role in safety risk management of the whole life cycle for construction projects. However, existing research mostly pay attention to post-accident management and lack pre-management consciousness. Based on the concept of design for safety (DFS), this paper explains how design optimization can enhance the safety performance for construction projects. Firstly, use accident causality theory and trajectory crossing theory to clarify the logical relationship between safety accidents and design process. Then, identify risk sources of safety accidents in deep foundation pit of subway projects and form a safety management knowledge base. Thirdly, based on design and review rules in the knowledge base and improved FEC risk quantification method, quantify the design oriented subway construction safety risks. Finally, use BIM secondary development technology to realize automatic examination and visualization of safety risks. A case study was conducted to verify this research framework. This paper can be a supplement to the existing risk management theoretical research.
Keyword : design for safety (DFS), safety risks quantification, FEC method, knowledge management, BIM
How to Cite
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 and Management, 28(4), 278–291. https://doi.org/10.3846/jcem.2022.16560
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Marinho, A., Couto, J., & Teixeira, J. (2021). Relational contracting and its combination with the bim methodology in mitigating asymmetric information problems in construction projects. Journal of Civil Engineering and Management, 27(4), 217–229. https://doi.org/10.3846/jcem.2021.14742
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Vignali, V., Acerra, E. M., Lantieri, C., Di Vincenzo, F., Piacentini, G., & Pancaldi, S. (2021). Building information Modelling (BIM) application for an existing road infrastructure. Automation in Construction, 128, 103752. https://doi.org/10.1016/j.autcon.2021.103752
Xia, N., Lam, W., Tin, P., Yoon, S., Zhang, N., Zhang, W., Ma, K., & Fielding, R. (2020). Patterns of cancer-related risk behaviors among con-struction workers in Hong Kong: A latent class analysis approach. Safety and Health at Work, 11(1), 26–32. https://doi.org/10.1016/j.shaw.2019.12.009
Xiahou, X., Yuan, J., Li, Q., & Skibniewski, M. J. (2018). Validating DFS concept in lifecycle subway projects in China based on incident case analysis and network analysis. Journal of Civil Engineering and Management, 24(1), 53–66. https://doi.org/10.3846/jcem.2018.300
Yang, Q., & Yu, D. (2013). Research on safety risk identification and evaluation of subway deep foundation pit engineering. Central South University.
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
Zhou, Z., & Guo, W. (2020). Applications of item response theory to measuring the safety response competency of workers in subway construction projects. Safety Science, 127, 104704. https://doi.org/10.1016/j.ssci.2020.104704
Zhou, Z., Irizarry, J., & Li, Q. (2014). Using network theory to explore the complexity of subway construction accident network (SCAN) for promoting safety management. Safety Science, 64, 127–136. https://doi.org/10.1016/j.ssci.2013.11.029
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Andersen, M. T., & Findsen, A. (2019). Exploring the benefits of structured information with the use of virtual design and construction principles in a BIM life-cycle approach. Architectural Engineering and Design Management, 15(2), 83–100. https://doi.org/10.1080/17452007.2018.1546165
Chan, E., Huang, Z., Hung, K., Chan, G., Lam, H., Lo, E., & Yeung, M. (2019). Health emergency disaster risk management of public transport systems: A population-based study after the 2017 subway fire in Hong Kong, China. International Journal of Environmental Research and Public Health, 16(2), 228. https://doi.org/10.3390/ijerph16020228
Chao, F., Yu, L., Huo, J. X., & Wang, M. N. (2014). Risk analysis of collapse during construction for a subway transfer station with large span and small clearance. Applied Mechanics and Materials, 584–586, 2077–2082. https://doi.org/10.4028/www.scientific.net/AMM.584-586.2077
Chen, E., Ye, Z., Wang, C., & Xu, M. (2020). Subway passenger flow prediction for special events using smart card data. IEEE Transactions on Intelligent Transportation Systems, 21(3), 1109–1120. https://doi.org/10.1109/TITS.2019.2902405
Chen, Y. (2020). Agent-based research on crowd interaction in emergency evacuation. Cluster Computing, 23(1), 189–202. https://doi.org/10.1007/s10586-017-1134-7
Cheng, Z., Lu, J., & Zhao, Y. (2020). Pedestrian evacuation risk assessment of subway station under large-scale sport activity. International Journal of Environmental Research and Public Health, 17(11), 3844. https://doi.org/10.3390/ijerph17113844
Danfeng, Y., & Jing, W. (2019). Subway passenger flow forecasting with multi-station and external factors. IEEE Access, 7, 57415–57423. https://doi.org/10.1109/ACCESS.2019.2914239
Esfahani, M. E., Rausch, C., Sharif, M. M., Chen, Q., Haas, C., & Adey, B. T. (2021). Quantitative investigation on the accuracy and precision of Scan-to-BIM under different modelling scenarios. Automation in Construction, 126, 103686. https://doi.org/10.1016/j.autcon.2021.103686
Ezisi, U., & Issa, M. H. (2019). Case study application of prevention through design to enhance workplace safety and health in Manitoba heavy construction projects. Canadian Journal of Civil Engineering, 46(2), 124–133. https://doi.org/10.1139/cjce-2017-0454
Fu, G., Xie, X., Jia, Q., Li, Z., Chen, P., & Ge, Y. (2020). The development history of accident causation models in the past 100 years: 24Model, a more modern accident causation model. Process Safety and Environmental Protection, 134, 47–82. https://doi.org/10.1016/j.psep.2019.11.027
Hallowell, M. R. (2012). Safety-knowledge management in American construction organizations. Journal of Management in Engineering, 28(2), 203–211. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000067
Hallowell, M. R., & Hansen, D. (2016). Measuring and improving designer hazard recognition skill: Critical competency to enable prevention through design. Safety Science, 82, 254–263. https://doi.org/10.1016/j.ssci.2015.09.005
Hardison, D., & Hallowell, M. (2019). Construction hazard prevention through design: Review of perspectives, evidence, and future objective research agenda. Safety Science, 120, 517–526. https://doi.org/10.1016/j.ssci.2019.08.001
Heinrich, H. W. (1980). Industrial accident prevention: A safety management approach. McGraw-Hill Companies.
Hossain, M. A., Abbott, E. L. S., Chua, D. K. H., Nguyen, T. Q., & 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
Jiang, X., Wang, S., Wang, J., Lyu, S., & Skitmore, M. (2020). A decision method for construction safety risk management based on ontology and improved CBR: Example of a subway project. International Journal of Environmental Research and Public Health, 17(11), 3928. https://doi.org/10.3390/ijerph17113928
Jin, R., Wang, F., & Liu, D. (2020). Dynamic probabilistic analysis of accidents in construction projects by combining precursor data and expert judgments. Advanced Engineering Informatics, 44, 101062. https://doi.org/10.1016/j.aei.2020.101062
Kim, I., Lee, Y., & Choi, J. (2020). BIM-based hazard recognition and evaluation methodology for automating construction site risk assessment. Applied Sciences, 10(7), 2335. https://doi.org/10.3390/app10072335
Lee, Y., Kim, I., & Choi, J. (2020). Development of BIM-based risk rating estimation automation and a design-for-safety review system. Applied Sciences, 10(11), 3902. https://doi.org/10.3390/app10113902
Leontaris, G., Morales-Nápoles, O., Dewan, A., & Wolfert, A. R. M. R. (2019). Decision support for offshore asset construction using expert judgments for supply disruptions risk. Automation in Construction, 107, 102903. https://doi.org/10.1016/j.autcon.2019.102903
Li, Y., Wang, H., Wang, C., & Huang, Y. (2017). Personnel evacuation research of subway transfer station based on fire environment. Procedia Engineering, 205, 431–437. https://doi.org/10.1016/j.proeng.2017.10.394
Li, Q., Wang, Y. M., Zhang, K. B., Yu, H., & Tao, Z. Y. (2020). Field investigation and numerical study of a siltstone slope instability induced by excavation and rainfall. Landslides, 17(6), 1485–1499. https://doi.org/10.1007/s10346-020-01396-5
Lin, Y., Chang, J., & Su, Y. (2016). Developing construction defect management system using bim technology in quality inspection. Journal of Civil Engineering and Management, 22(7), 903–914. https://doi.org/10.3846/13923730.2014.928362
Lingard, H., Cooke, T., Blismas, N., & Wakefield, R. (2013). Prevention through design. Built Environment Project and Asset Management, 3(1), 7–23. https://doi.org/10.1108/BEPAM-06-2012-0036
Liu, P., Li, Q., Bian, J., Song, L., & Xiahou, X. (2018a). Using interpretative structural modeling to identify critical success factors for safety man-agement in subway construction: A China study. International Journal of Environmental Research and Public Health, 15(7), 1359. https://doi.org/10.3390/ijerph15071359
Liu, X., Li, L., Liu, X., Zhang, T., Rong, X., Yang, L., & Xiong, D. (2018b). Field investigation on characteristics of passenger flow in a Chinese hub airport terminal. Building and Environment, 133, 51–61. https://doi.org/10.1016/j.buildenv.2018.02.009
Liu, P., Xie, M., Bian, J., Li, H., & Song, L. (2020). A hybrid PSO–SVM model based on safety risk prediction for the design process in metro station construction. International Journal of Environmental Research and Public Health, 17(5), 1714. https://doi.org/10.3390/ijerph17051714
Marinho, A., Couto, J., & Teixeira, J. (2021). Relational contracting and its combination with the bim methodology in mitigating asymmetric information problems in construction projects. Journal of Civil Engineering and Management, 27(4), 217–229. https://doi.org/10.3846/jcem.2021.14742
Niu, S., Xi, J., Ding, T., & Hu, L. (2009). Traffic safety characteristics of curved section of two-lane highway based on track-cross theory [Conference presentation]. Second International Conference on Transportation Engineering, Chengdu, China. https://doi.org/10.1061/41039(345)317
Olawumi, T. O., & Chan, D. W. M. (2019). Building information modelling and project information management framework for construction projects. Journal of Civil Engineering and Management, 25(1), 53–75. https://doi.org/10.3846/jcem.2019.7841
Pan, H., Gou, J., Wan, Z., Ren, C., Chen, M., Gou, T., & Luo, Z. (2019). Research on coupling degree model of safety risk system for tunnel construction in subway shield zone. Mathematical Problems in Engineering, 2019, 5783938. https://doi.org/10.1155/2019/5783938
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, 103049. https://doi.org/10.1016/j.tust.2019.103049
Rey, R. O., de Melo, R. R. S., & Costa, D. B. (2021). Design and implementation of a computerized safety inspection system for construction sites using UAS and digital checklists – Smart Inspecs. Safety Science, 143, 105430. https://doi.org/10.1016/j.ssci.2021.105430
Shafiq, M. T., & Afzal, M. (2020). Potential of virtual design construction technologies to improve job-site safety in Gulf corporation council. Sustainability, 12(9), 3826. https://doi.org/10.3390/su12093826
Shin, H. (2020). Analysis of subway passenger flow for a smarter city: Knowledge extraction from Seoul Metro’s ‘untraceable’ big data. IEEE Access, 8, 69296–69310. https://doi.org/10.1109/ACCESS.2020.2985734
Siu, M. F., Leung, W. J., & Chan, W. D. (2018). A data-driven approach to identify-quantify-analyse construction risk for Hong Kong NEC projects. Journal of Civil Engineering and Management, 24(8), 592–606. https://doi.org/10.3846/jcem.2018.6483
Su, Y., Yang, S., Liu, K., Hua, K., & Yao, Q. (2019). Developing a case-based reasoning model for safety accident pre-control and decision making in the construction industry. International Journal of Environmental Research and Public Health, 16(9), 1511. https://doi.org/10.3390/ijerph16091511
Szymberski, R. (1997). Construction project safety planning. Tappi Journal, 80(11), 69–74.
Vignali, V., Acerra, E. M., Lantieri, C., Di Vincenzo, F., Piacentini, G., & Pancaldi, S. (2021). Building information Modelling (BIM) application for an existing road infrastructure. Automation in Construction, 128, 103752. https://doi.org/10.1016/j.autcon.2021.103752
Xia, N., Lam, W., Tin, P., Yoon, S., Zhang, N., Zhang, W., Ma, K., & Fielding, R. (2020). Patterns of cancer-related risk behaviors among con-struction workers in Hong Kong: A latent class analysis approach. Safety and Health at Work, 11(1), 26–32. https://doi.org/10.1016/j.shaw.2019.12.009
Xiahou, X., Yuan, J., Li, Q., & Skibniewski, M. J. (2018). Validating DFS concept in lifecycle subway projects in China based on incident case analysis and network analysis. Journal of Civil Engineering and Management, 24(1), 53–66. https://doi.org/10.3846/jcem.2018.300
Yang, Q., & Yu, D. (2013). Research on safety risk identification and evaluation of subway deep foundation pit engineering. Central South University.
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
Zhou, Z., & Guo, W. (2020). Applications of item response theory to measuring the safety response competency of workers in subway construction projects. Safety Science, 127, 104704. https://doi.org/10.1016/j.ssci.2020.104704
Zhou, Z., Irizarry, J., & Li, Q. (2014). Using network theory to explore the complexity of subway construction accident network (SCAN) for promoting safety management. Safety Science, 64, 127–136. https://doi.org/10.1016/j.ssci.2013.11.029
Zhou, H., Zhao, Y., Shen, Q., Yang, L., & Cai, H. (2020). Risk assessment and management via multi-source information fusion for undersea tunnel construction. Automation in Construction, 111, 103050. https://doi.org/10.1016/j.autcon.2019.103050