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Articles

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Artificial intelligence for safety and health

  1. Chian, E. Y. T., Goh, Y. M., Tian, J., & Guo, B. H. W. (2022). Dynamic identification of crane load fall zone: A computer vision approach. Safety Science, 156, 105904. https://doi.org/10.1016/j.ssci.2022.105904
  2. Chian, E., Fang, W., Goh, Y. M., & Tian, J. (2021). Computer vision approaches for detecting missing barricades. Automation in Construction, 131, 103862. https://doi.org/10.1016/j.autcon.2021.103862
  3. Goh, Y. M., & Ubeynarayana, C. U. (2017). Construction accident narrative classification: An evaluation of text mining techniques. Accident Analysis & Prevention, 108, 122–130. https://doi.org/10.1016/j.aap.2017.08.026
  4. Kam, S. H., Lan, T., Sun, K., & Goh, Y. M. (2025). Feature weights in contractor safety performance assessment: Comparative study of expert-driven and analytics-based approaches. Automation in Construction, 174, 106142. https://doi.org/10.1016/j.autcon.2025.106142
  5. Lim, Y. G., Wu, J., Goh, Y. M., Tian, J., & Gan, V. (2023). Automated classification of “cluttered” construction housekeeping images through supervised and self-supervised feature representation learning. Automation in Construction, 156, 105095. https://doi.org/10.1016/j.autcon.2023.105095
  6. Poh, C. Q. X., Ubeynarayana, C. U., & Goh, Y. M. (2018). Safety leading indicators for construction sites: A machine learning approach. Automation in Construction, 93, 375–386. https://doi.org/10.1016/j.autcon.2018.03.022
  7. Sun, K., Lan, T., Goh, Y. M., & Huang, Y.-H. (2024). Overcoming imbalanced safety data using extended accident triangle. arXiv. https://doi.org/10.48550/ARXIV.2408.07094
  8. Sun, K., Shao, Z., Goh, Y. M., Tian, J., & Gan, V. J. L. (2025). Change detection network for construction housekeeping using feature fusion and large vision models. Automation in Construction, 172, 106038. https://doi.org/10.1016/j.autcon.2025.106038
  1. Hu, X., Goh, Y. M., & Lin, A. (2021). Educational impact of an Augmented Reality (AR) application for teaching structural systems to non-engineering students. Advanced Engineering Informatics, 50, 101436. https://doi.org/10.1016/j.aei.2021.101436
  2. Hu, X., Safiena, S., Goh, Y. M., & Lin, A. (2023). Using virtual reality (VR) to improve structural systems knowledge of project and facilities management students. Educational Technology Research and Development, 71(5), 1993–2019. https://doi.org/10.1007/s11423-023-10251-y
  3. Lee, Y. Y. R., Samad, H., & Miang Goh, Y. (2020). Perceived importance of authentic learning factors in designing construction safety simulation game-based assignment: Random Forest approach. Journal of Construction Engineering and Management, 146(3), 04020002. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001779
  4. Safiena, S., & Goh, Y. M. (2022). A hazard identification digital simulation game developed based on the extended authentic learning framework. Journal of Engineering Education, 111(3), 642–664. https://doi.org/10.1002/jee.20459
  5. Safiena, S., & Goh, Y. M. (2024). Authentic learning questionnaire for digital simulation games in higher education: A construction safety case study. Education and Information Technologies, 29(14), 17915–17941. https://doi.org/10.1007/s10639-024-12543-z
  6. Safiena, S., Tay, J., Miang Goh, Y., & Lim, M. (2023). SafeSim Design: A digital game-based learning approach to address Design for Safety (DfS) competency. In G. Geng, X. Qian, L. H. Poh, & S. D. Pang (Eds.), Proceedings of the 17th East Asian-Pacific Conference on Structural Engineering and Construction, 2022 (pp. 360–372). Springer Nature. https://doi.org/10.1007/978-981-19-7331-4_29
  7. Tay, J., Goh, Y. M., Safiena, S., & Bound, H. (2022). Designing digital game-based learning for professional upskilling: A systematic literature review. Computers & Education, 184, 104518. https://doi.org/10.1016/j.compedu.2022.104518
  8. Yang, F., & Miang Goh, Y. (2022). VR and MR technology for safety management education: An authentic learning approach. Safety Science, 148, 105645. https://doi.org/10.1016/j.ssci.2021.105645

Education and training

Design for Safety (DfS) and safety management

  1. Lim, M. S., & Goh, Y. M. (2023). Development and validation of the Design for Safety (DfS) climate measurement tool. Journal of Risk Research, 26(12), 1331–1352. https://doi.org/10.1080/13669877.2023.2288003
  2. Lim, M. S. H., Tang, Y., Du, S., & Goh, Y. M. (2025). Beyond compliance: A two-axis model of Design for Safety implementation in mandatory contexts. Journal of Management in Engineering, 41(5), 04025029. https://doi.org/10.1061/JMENEA.MEENG-6492
  3. He, Y., Huang, Y.-H., Lee, J., Lytle, B., Asmone, A. S., & Goh, Y. M. (2022). A mixed-methods approach to examining safety climate among truck drivers. Accident Analysis & Prevention, 164, 106458. https://doi.org/10.1016/j.aap.2021.106458
  4. Sun, K., Lan, T., Goh, Y. M., Safiena, S., Huang, Y.-H., Lytle, B., & He, Y. (2024). An interpretable clustering approach to safety climate analysis: Examining driver group distinctions. Accident Analysis & Prevention, 196, 107420. https://doi.org/10.1016/j.aap.2023.107420
  1. Lim, W. C., Tashrif, S. M., Goh, Y. M., & Adrian Koh, S. J. (2021). Validation of the energy balance approach for design of vertical lifeline systems. International Journal of Occupational Safety and Ergonomics, 27(3), 673–685. https://doi.org/10.1080/10803548.2019.1616948
  2. Tashrif, S. M., Lim, W. C., Goh, Y. M., Hu, X., & Koh, S. J. A. (2022). Experimental validation of an energy balance approach for design of horizontal lifeline systems. International Journal of Occupational Safety and Ergonomics, 28(1), 275–288. https://doi.org/10.1080/10803548.2020.1763031

Fall hazards and control

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