Application of Machine Learning Technology for Construction Site

Although several research studies on the application of machine learning to the construction field are actively underway, no study has yet been done on the areas where the application is primarily needed. Using the importance-performance analysis method, this paper identified the top five areas of construction sites where machine learning technology needs to be applied. Furthermore, it suggests application plans developed by using the Delphi method. The identified top five areas were unmanned tower crane, inspection of joint connections, prediction of construction safety accidents, operation of construction lift, lay out of tower crane. This study is expected to facilitate the effective application of machine learning technology at construction sites in the future. Ultimately, the purpose of this study is to reduce waste of labor and the safety risks at construction sites through machine learning technologies.