Zhou, Z., Goh, Y. M., & Li, Q. (2015). Overview and analysis of safety management studies in the construction industry. Safety science, 72, 337-350.
HSE, H. (2024). Construction statistics in Great Britain.
Haupt, T. C., Akinlolu, M., & Raliile, M. T. (2019, November). Applications of digital technologies for health and safety management in construction. In Proceedings of the 8th World Construction Symposium, Colombo, Sri Lanka (pp. 88-97).
Adekunle, S., Onatayo, D., Ejohwomu, I., & Aigbavboa, C. (2024). Examining challenges in adopting safety leading indicators for construction projects in South Africa. Frontiers in Built Environment, 10, 1441941.
Ortega, N., Paes, D., Feng, Z., Sutrisna, M., & Yiu, T. W. (2025). Investigating the factors that define and influence safety culture: perspectives from expert professionals. Architecture, Structures and Construction, 5(1), 13.
Antwi-Afari, M. F., Li, H., Wong, J. K. W., Oladinrin, O. T., Ge, J. X., Seo, J., & Wong, A. Y. L. (2019). Sensing and warning-based technology applications to improve occupational health and safety in the construction industry: A literature review. Engineering, Construction and Architectural Management, 26(8), 1534-1552.
Agyekum, K., Pittri, H., Botchway, E. A., Amudjie, J., Kumah, V. M. A., Kotei-Martin, J. N., & Oduro, R. A. (2022). Exploring the current technologies essential for health and safety in the Ghanaian construction industry. Merits, 2(4), 314-330.
Li, X., Yi, W., Chi, H. L., Wang, X., & Chan, A. P. (2018). A critical review of virtual and augmented reality (VR/AR) applications in construction safety. Automation in construction, 86, 150-162.
Laufer, A., & Ledbetter, W. B. (1986). Assessment of safety performance measures at construction sites. Journal of construction engineering and management, 112(4), 530-542.
Hinze, J., Thurman, S., & Wehle, A. (2013). Leading indicators of construction safety performance. Safety science, 51(1), 23-28.
Lingard, H., Wakefield, R., & Blismas, N. (2013, May). If you cannot measure it, you cannot improve it: Measuring health and safety performance in the construction industry. In the 19th Triennial CIB World Building Congress, Queensland University of Technology,, Brisbane, Queensland, Australia.
Arezes, P. M., & Sérgio Miguel, A. (2003). The role of safety culture in safety performance measurement. Measuring business excellence, 7(4), 20-28.
Cadieux, J., Roy, M., & Desmarais, L. (2006). A preliminary validation of a new measure of occupational health and safety. Journal of Safety Research, 37(4), 413-419.
Sparer, E. H., & Dennerlein, J. T. (2013). Determining safety inspection thresholds for employee incentives programs on construction sites. Safety Science, 51(1), 77-84.
Toellner, J. (2001). Improving safety & health performance: identifying & measuring leading indicators. Professional Safety, 46(9), 42.
Manuele, F. A. (2009). Leading & lagging indicators. Professional Safety, 54(12), 28-33.
HSE, C. 2006. Developing Process Safety Indicators. A Step-by-step Guide for Chemical and Major Hazard Industries. Health and Safety Executive.
Dyreborg, J. (2009). The causal relation between lead and lag indicators. Safety Science, 47(4), 474-475.
Mohaghegh, Z., & Mosleh, A. (2009). Measurement techniques for organizational safety causal models: Characterization and suggestions for enhancements. Safety science, 47(10), 1398-1409.
Hallowell, M. R., Hinze, J. W., Baud, K. C., & Wehle, A. (2013). Proactive construction safety control: Measuring, monitoring, and responding to safety leading indicators. Journal of construction engineering and management, 139(10), 04013010.
Guo, B. H., & Yiu, T. W. (2016). Developing leading indicators to monitor the safety conditions of construction projects. Journal of management in engineering, 32(1), 04015016.
Construction Industry Institute (CII). (2012). Measuring Safety Performance with Active Safety Leading Indicators (Research Report 284-11). Austin, TX: Construction Industry Institute.
Occupational Safety and Health Administration. (2019). Using leading indicators to improve safety and health outcomes. US: Department of Labor.
Xu, J., Cheung, C., Manu, P., & Ejohwomu, O. (2021). Safety leading indicators in construction: A systematic review. Safety science, 139, 105250.
Bhagwat, K., Delhi, V. S. K., & Nanthagopalan, P. (2022). Construction safety performance measurement using a leading indicator-based jobsite safety inspection method: case study of a building construction project. International journal of occupational safety and ergonomics, 28(4), 2645-2656.
Lingard, H. C., Cooke, T., & Blismas, N. (2012). Designing for construction workers’ occupational health and safety: a case study of socio-material complexity. Construction Management and Economics, 30(5), 367-382.
Alruqi, W. M., Hallowell, M. R., & Techera, U. (2018). Safety climate dimensions and their relationship to construction safety performance: A meta-analytic review. Safety science, 109, 165-173.
Guo, H., Yu, Y., & Skitmore, M. (2017). Visualization technology-based construction safety management: A review. Automation in construction, 73, 135-144.
Xu, J., Li, J., & Chen, X. (2024). Assessment of technology adoption in construction safety management: Case study in China. Science Progress, 107(4), 00368504241304198.
Liang, H., Zhang, S., & Su, Y. (2018). Using leading and lagging indicators to select safe contractors at the prequalification stage of construction projects. International journal of occupational and environmental health, 24(1-2), 61-74.
Yap, J. B. H., Lee, K. P. H., Skitmore, M., Lew, Y. L., Lee, W. P., & Lester, D. (2023). Predictors to increase safety technology adoption in construction: an exploratory factor analysis for Malaysia. Journal of Civil Engineering and Management, 29(2), 157-170.
Ting, T. L., & Yahaya, I. (2024). Adoption of technology for construction site safety management: unveiling insight from Penang contractors. Planning Malaysia, 22.
Chong, H. Y., Xu, Y., Lun, C., & Chi, M. (2023). The adoption intentions of wearable technology for construction safety. Buildings, 13(11), 2747.
Manjourides, J., & Dennerlein, J. T. (2019). Testing the associations between leading and lagging indicators in a contractor safety pre‐qualification database. American journal of industrial medicine, 62(4), 317-324.
Hasanzadeh, S., Esmaeili, B., & Dodd, M. D. (2018). Examining the relationship between construction workers’ visual attention and situation awareness under fall and tripping hazard conditions: Using mobile eye tracking. Journal of construction engineering and management, 144(7), 04018060.
Zhou, Z., Irizarry, J., & Li, Q. (2013). Applying advanced technology to improve safety management in the construction industry: a literature review. Construction Management and Economics, 31(6), 606-622.
Akinlolu, M., Haupt, T. C., Edwards, D. J., & Simpeh, F. (2022). A bibliometric review of the status and emerging research trends in construction safety management technologies. International Journal of Construction Management, 22(14), 2699-2711.
Nnaji, C., & Karakhan, A. A. (2020). Technologies for safety and health management in construction: Current use, implementation benefits and limitations, and adoption barriers. Journal of Building Engineering, 29, 101212.
Nnaji, C., Gambatese, J., Karakhan, A., & Eseonu, C. (2019). Influential safety technology adoption predictors in construction. Engineering, Construction and Architectural Management, 26(11), 2655-2681.
Alaloul, W. S., Liew, M. S., Zawawi, N. A. W. A., & Kennedy, I. B. (2020). Industrial Revolution 4.0 in the construction industry: Challenges and opportunities for stakeholders. Ain shams engineering journal, 11(1), 225-230.
Cheng, J. C., Chen, K., & Chen, W. (2020). State-of-the-art review on mixed reality applications in the AECO industry. Journal of Construction Engineering and Management, 146(2), 03119009.
Li, H., Chan, G., & Skitmore, M. (2012). Multiuser virtual safety training system for tower crane dismantlement. Journal of Computing in Civil Engineering, 26(5), 638-647.
Qi, J., Issa, R. R., 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), A4014008.
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.
Awolusi, I., Marks, E., & Hallowell, M. (2018). Wearable technology for personalized construction safety monitoring and trending: Review of applicable devices. Automation in construction, 85, 96-106.
Hasan, S., Zaman, H., Han, S., Al-Hussein, M., & Su, Y. (2012). Integrated building information model to identify possible crane instability caused by strong winds. In Construction Research Congress 2012: Construction Challenges in a Flat World (pp. 1281-1290).
Kannan, M. R., & Santhi, M. H. (2013). Constructability assessment of climbing formwork systems using building information modeling. Procedia Engineering, 64, 1129-1138.
Nnaji, C., Gambatese, J., Lee, H. W., & Zhang, F. (2020b). Improving construction work zone safety using technology: A systematic review of applicable technologies. Journal of traffic and transportation engineering (English edition), 7(1), 61-75.
Kiani, A., Salman, A., & Riaz, Z. (2014). Real-time environmental monitoring, visualization, and notification system for construction H&S management. Journal of Information Technology in Construction, 19, 72-91.
Qian, H. (2021, July). Design of tunnel automatic monitoring system based on BIM and IOT. In Journal of Physics: Conference Series (Vol. 1982, No. 1, p. 012073). IOP Publishing.
Pang, B., Shi, J., Jiang, L., & Pan, Z. (2024). A Semantic Approach to Dynamic Path Planning for Fire Evacuation through BIM and IoT Data Integration. Advances in Civil Engineering, 2024(1), 8839865.
Chen, H., Hou, L., Zhang, G. K., & Moon, S. (2021). Development of BIM, IoT and AR/VR technologies for fire safety and upskilling. Automation in Construction, 125, 103631.
Ding, L., Zhou, Y., & Akinci, B. (2014). Building Information Modeling (BIM) application framework: The process of expanding from 3D to computable nD. Automation in construction, 46, 82-93.
Kim, H., & Ahn, H. (2011). Temporary facility planning of a construction project using BIM (Building Information Modeling). In Computing in Civil Engineering (2011) (pp. 627-634).
Kim, K., & Teizer, J. (2014). Automatic design and planning of scaffolding systems using building information modeling. Advanced Engineering Informatics, 28(1), 66-80.
Cheng, T., & Teizer, J. (2013). Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications. Automation in construction, 34, 3-15.
Fan, W., Zhou, J., Zhou, J., Liu, D., Shen, W., & Gao, J. (2021). Safety management system prototype/framework of deep foundation pit based on BIM and IoT. Advances in Civil Engineering, 2021(1), 5539796.
Cambraia, F. B., Saurin, T. A., & Formoso, C. T. (2010). Identification, analysis and dissemination of information on near misses: A case study in the construction industry. Safety science, 48(1), 91-99.
Themistocleous, K., Neocleous, K., Pilakoutas, K., & Hadjimitsis, D. G. (2014, August). Damage assessment using advanced non-intrusive inspection methods: Integration of space, UAV, GPR, and field spectroscopy. In Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014) (Vol. 9229, pp. 496-500). SPIE.
Woodcock, K. (2014). Model of safety inspection. Safety science, 62, 145-156.
Cheng, J. C., Chen, K., & Chen, W. (2020). State-of-the-art review on mixed reality applications in the AECO industry. Journal of Construction Engineering and Management, 146(2), 03119009.
Li, Y., & Liu, C. (2012). Integrating field data and 3D simulation for tower crane activity monitoring and alarming. Automation in Construction, 27, 111-119.
Chantawit, D., Hadikusumo, B. H., Charoenngam, C., & Rowlinson, S. (2005). 4DCAD‐Safety: visualizing project scheduling and safety planning. Construction Innovation, 5(2), 99-114.
Fargnoli, M., & Lombardi, M. (2020). Building information modelling (BIM) to enhance occupational safety in construction activities: Research trends emerging from one decade of studies. Buildings, 10(6), 98.
Haupt, T. C., Akinlolu, M., & Raliile, M. T. (2019, November). Emerging technologies in construction safety and health management. In International Conference on Innovation, Technology, Enterprise, and Entrepreneurship (ICITEE) (pp. 413-420).
Zhou, Z., Goh, Y. M., & Li, Q. (2015). Overview and analysis of safety management studies in the construction industry. Safety science, 72, 337-350.
Golizadeh, H., Hon, C. K., Drogemuller, R., & Hosseini, M. R. (2018). Digital engineering potential in addressing causes of construction accidents. Automation in Construction, 95, 284-295.
Li, H., Lu, M., Chan, G., & Skitmore, M. (2015). Proactive training system for safe and efficient precast installation. Automation in Construction, 49, 163-174.
Shen, X., & Marks, E. (2016). Near-miss information visualization tool in BIM for construction safety. Journal of construction engineering and management, 142(4), 04015100.
Huang, X., & Hinze, J. (2006). Owner’s role in construction safety. Journal of construction engineering and management, 132(2), 164-173.
Weinstein, M., Gambatese, J., & Hecker, S. (2005). Can design improve construction safety?: Assessing the impact of a collaborative safety-in-design process. Journal of construction engineering and management, 131(10), 1125-1134.
Sakr, M., & Sadhu, A. (2023). Visualization of structural health monitoring information using Internet-of-Things integrated with building information modeling. Journal of Infrastructure Intelligence and Resilience, 2(3), 100053.
Ding, L., Jiang, W., & Zhou, C. (2022). IoT sensor-based BIM system for smart safety barriers of hazardous energy in petrochemical construction. Frontiers of Engineering Management, 9(1), 1-15.
Liang, Y., & Liu, Q. (2022). Early warning and real-time control of construction safety risk of underground engineering based on building information modeling and internet of things. Neural Computing and Applications, 34(5), 3433-3442.
Wang, J., Luo, H., Pena-Mora, F., Zhou, W., & Fang, W. (2024). An integrated BIM-IoT framework for real-time quality monitoring in construction site. Journal of Construction Engineering and Management, 150(11), 05024013.
Bueno, S., & Salmeron, J. L. (2008). Fuzzy modeling enterprise resource planning tool selection. Computer Standards & Interfaces, 30(3), 137-147.
Glykas, M. (Ed.). (2010). Fuzzy cognitive maps: Advances in theory, methodologies, tools and applications (Vol. 247). Springer.
Kleijnen, J. P. (1995). Verification and validation of simulation models. European journal of operational research, 82(1), 145-162.
Yegnanarayana, B. (2009). Artificial neural networks. PHI Learning Pvt. Ltd.
Christoforou, A., & Andreou, A. S. (2017). A framework for static and dynamic analysis of multi-layer fuzzy cognitive maps. Neurocomputing, 232, 133-145.
Lopez, C., & Salmeron, J. L. (2014). Dynamic risks modelling in ERP maintenance projects with FCM. Information sciences, 256, 25-45.
Salmeron, J. L., Mansouri, T., Moghadam, M. R. S., & Mardani, A. (2019). Learning fuzzy cognitive maps with modified asexual reproduction optimisation algorithm. Knowledge-Based Systems, 163, 723-735.
Kosko, B. (1986). Fuzzy cognitive maps. International journal of man-machine studies, 24(1), 65-75.
Peláez, C. E., & Bowles, J. B. (1996). Using fuzzy cognitive maps as a system model for failure modes and effects analysis. information sciences, 88(1-4), 177-199.
Papageorgiou, E. I. (2010). A novel approach on constructed dynamic fuzzy cognitive maps using fuzzified decision trees and knowledge-extraction techniques. In Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications (pp. 43-70). Berlin, Heidelberg: Springer Berlin Heidelberg.
Groumpos, P. P. (2010). Fuzzy cognitive maps: basic theories and their application to complex systems. In Fuzzy cognitive maps: Advances in theory, methodologies, tools and applications (pp. 1-22). Berlin, Heidelberg: Springer Berlin Heidelberg.
Glaser, B. (1978). Theoretical sensitivity. Advances in the methodology of grounded theory.
Hobbs, B. F., Ludsin, S. A., Knight, R. L., Ryan, P. A., Biberhofer, J., & Ciborowski, J. J. (2002). Fuzzy cognitive mapping as a tool to define management objectives for complex ecosystems. Ecological Applications, 12(5), 1548-1565.
Rodriguez-Repiso, L., Setchi, R., & Salmeron, J. L. (2007). Modelling IT projects success: Emerging methodologies reviewed. Technovation, 27(10), 582-594.
Yaman, D., & Polat, S. (2009). A fuzzy cognitive map approach for effect-based operations: An illustrative case. Information Sciences, 179(4), 382-403.
Ravasan, A. Z., & Mansouri, T. (2014). A FCM-based dynamic modeling of ERP implementation critical failure factors. International Journal of Enterprise Information Systems (IJEIS), 10(1), 32-52.
Breckenridge, J., & Jones, D. (2009). Demystifying theoretical sampling in grounded theory research. Grounded Theory Review, 8(02), 113-126.
