Exploring the knowledge structure of building information modeling (BIM) adoption in construction scheduling: A bibliometric analysis from 2008 to 2024

Abstract

Effective construction schedule planning is essential for project success. Building Information Modeling (BIM) is a methodology with high potential to enhance planning processes and benefit construction management. Although extensive research has examined BIM’s application in schedule planning from various perspectives, a knowledge gap exists in studies that synthesize and analyze the knowledge structure in this area. Therefore, this study addresses this gap through a bibliometric analysis of 489 journal articles published from 2008 to 2024, utilizing performance metrics, science mapping, and trend analysis techniques. Based on centrality and density metrics, the science mapping reveals five key areas of the knowledge structure of BIM adoption in construction scheduling: BIM construction scheduling, advanced construction monitoring and data integration, supply chain management in sustainable and safe construction, project management and productivity, and earthworks and intelligent construction. Furthermore, trend analysis shows that the integration of BIM with artificial intelligence has been increasing due to its potential to optimize and improve construction planning. BIM enables enhanced project control and monitoring by integrating real-time data updates and visual simulations, supporting proactive decision-making during construction execution. The findings provide an overview of the knowledge field for professionals and researchers, offering information into the current state of BIM adoption in construction scheduling. It highlights current research trends and identifies gaps, suggesting directions for future studies to advance the field.