Mapping the Nexus of 5D BIM and Big Data in Project Cost Management: A Systematic Review

Abstract

Success in construction projects fundamentally depends on exceptional project management, with project cost management (PCM) being one of the key components. However, PCM often faces constraints such as outdated data and data inaccuracies throughout the project’s lifecycle, which consequently undermine its reliability. Recently, 5D Building Information Modelling (BIM) is gaining attention as an innovative work process that could facilitate PCM enhancement.  Despite the potential of 5D BIM to address the PCM issues, it is found that technology struggles with certain PCM data complexities; thus, suggesting that big data analytics (BDA) might be beneficial if used concurrently with 5D BIM in providing solutions. Nevertheless, the linkage between 5D BIM components and big data (BD) attributes remains scantily mapped. Therefore, a systematic mapping between these domains is necessary as a forerunner to manifest their relationship. In order to address this gap, this research employs a systematic literature mapping method with the aim to illustrate the associations and the potential synergies between 5D BIM and BD attributes. The findings suggest that there is a distinct theoretical connection between them, highlighting the need for further exploration and investigation for practical implementation. This research serves as a milestone in understanding the interplay between 5D BIM and BD attributes, paving the way for more effective integration in the current industry practices.