Gondia, A.M., Ezzeldin, M., El-Dakhakhni, W.: Machine learning-based construction site dynamic risk models. Technol. Forecast. Soc. Change 189, 122347 (2023)
Hegde, J., Rokseth, B.: Applications of machine learning methods for engineering risk assessment–a review. Safety Sci. 122, 104492 (2020)
Garcia, J., et al.: Machine learning techniques applied to construction: a hybrid bibliometric analysis of advances and future directions. Autom. Constr. 142, 104532 (2022)
Xu, Y., Zhou, Y., Sekula, P., Ding, L.: Machine learning in construction: from shallow to deep learning. Dev. Built Environ. 6, 100045 (2021)
Ngo, J., Hwang, B.G., Zhang, C.: Big data and predictive analytics in the construction industry: applications, status quo, and potential in Singapore’s construction industry. In: Construction Research Congress, Reston, VA, pp. 715–724 (2020)
Yu, T., Liang, X., Wang, Y.: Factors affecting the utilization of big data in construction projects. J. Constr. Eng. Manage. 146(5), 04020032 (2020)
Taylan, O., Kabli, M.R., Porcel, C., Herrera-Viedma, E.: Contractor selection for construction projects using consensus tools and big data. Int. J. Fuzzy Syst. 20, 1267–1281 (2018)
Bilal, M., et al.: Big Data in the construction industry: a review of present status, opportunities, and future trends. Adv. Eng. Inform. 30(3), 500–521 (2016)
Ngo, J., Hwang, B.G., Zhang, C.: Factor-based big data and predictive analytics capability assessment tool for the construction industry. Autom. Constr. 110, 103042 (2020)
Li, F., et al.: Towards big data-driven construction industry. J. Ind. Inf. Integr. 100483 (2023)
Bilal, M., et al.: Investigating profitability performance of construction projects using big data: a project analytics approach. J. Build. Eng. 26, 100850 (2019)
Guo, S., Luo, H., Yong, L.: A big data-based workers behavior observation in China metro construction. Procedia Eng. 123, 190–197 (2015)
Zhang, Y., Luo, H., He, Y.: A system for tender price evaluation of construction project based on big data. Procedia Eng. 123, 606–614 (2015)
Fang, R.: Research on big data processing technology based on machine and deep learning and system framework construction. In: 2024 IEEE 2nd International Conference on Sensors, Electronics and Computer Engineering (ICSECE), pp. 274–280 (2024)
Gondia, A.S., El-Dakhakhni, W., Nassar, A.H.: Machine learning algorithms for construction projects delay risk prediction. J. Constr. Eng. Manage. 146(1), 04019085 (2020)
George, M.R., Nalluri, M.R., Anand, K.B.: Application of ensemble machine learning for construction safety risk assessment. J. Inst. Eng. (India) Ser. A 103(4), 989–1003 (2022)
Kineber, F.: Identifying the Internet of Things (IoT) implementation benefits for sustainable construction project. HBRC J. 20(1), 700–766 (2024)
Kuo, T.C., Peng, C.Y., Kuo, C.J.: Smart support system of material procurement for waste reduction based on big data and predictive analytics. Int. J. Logist. Res. Appl. 27(2), 243–260 (2024)
Yun, J., Jeong, K., Youn, J., Lee, D.: Big data analysis model for predicting operational risk in overseas construction projects. J. Asian Archit. Build. Eng. 21(6), 2524–2531 (2022)
Zhang, S., Li, X.: A comparative study of machine learning regression models for predicting construction duration. J. Asian Archit. Build. Eng. 23(6), 1980–1996 (2024)
Ashraf, M.R., Mahfouz, S.Y.: Price prediction of residential buildings using random forest and artificial neural network. HBRC J. 20(1), 23–41 (2024)
Tixier, J.P., Hallowell, M.R., Rajagopalan, B., Bowman, D.: Application of machine learning to construction injury prediction. Autom. Constr. 69, 102–114 (2016)
Hashemi, S.T., Ebadati, O.M., Kaur, H.: Cost estimation and prediction in construction projects: a systematic review on machine learning techniques. SN Appl. Sci. 2(10), 1703 (2020)
