Modeling and analysis of the impact of BIM-based field data capturing technologies on automated construction progress monitoring

Abstract

Leveraging automated field data capturing technologies and Building Information Modeling (BIM) for site status analysis would play a more significant role in advancing decision-making in construction projects if applied to the traditional progress control. Despite the numerous advances in project progress control technologies, 3D modeling, and BIM execution, there is still a lack of awareness regarding the impact of these technologies on the overall performance of the projects, leading to the use of time-consuming and ineffective monitoring processes by the companies. For this reason, this study proposes a model for BIM-based field data capturing technologies and analyses the impact of field data capturing technologies on automated project progress monitoring comparing 3D model and BIM workflows. The empirical data were collected through a computerized self-administered questionnaire (CSAQ) survey conducted to contracting and engineering consulting companies operating in the Middle East, Mid-Asia, Europe, North America, and the Far East. The structural equation modeling (SEM) method was used to test the hypotheses and develop the skill model. The study confirms the importance of using field data capturing technologies with BIM in two main stages (modeling and execution) to enhance automated project progress monitoring performance. The study highlights the need for further exploration of the role of BIM-based field data capturing technologies in improving automated construction project progress monitoring.