This research provides a clear picture of the leading information and future research trends of the BIM-based coordination, contributing to the body of knowledge theoretically and offering references for related stakeholders practically. Moreover, a framework that presents the existing research gaps and future research directions was proposed. Four emerging research topics were further discussed according to the determined scientific map. To map the representative information in the BIM-based coordination research, the determination and visualization of the most influential scholars, journals, countries/regions, and articles, as well as their importance and relationships, were performed through VOSviewer. After a comprehensive filtering process, 656 pieces of literature were collected from Scopus. Hence, this study examines the BIM-based coordination literature published from 2006 to 2020 through bibliometric literature searching, scientific mapping, and in-depth critical analysis to fill the research gap. Recently, there have been numerous studies investigating BIM-based coordination however, no explicit attempt has been made to investigate the current status of relevant research and determine the future directions. Moreover, by conducting a statistical analysis and examining a case study, this paper verifies the accuracy and efficiency of quantity takeoff attained from the proposed BQTCM method and QTCMP.Įnhancing coordination between stakeholders is a critical function of Building Information Modeling (BIM). This paper proposes a BIM-based quantity takeoff code mapping (BQTCM) method to solve the above issue, and develops a quantity takeoff code mapping plug-in (QTCMP) on a BIM modeling software based on the proposed BQTCM method to obtain an accurate bill of quantities directly and efficiently. Specific construction classification systems embedded in mainstream modeling software for building information modeling (BIM) make it difficult for countries adopting different systems to calculate quantity directly.

Theoretically, quantity can be automatically calculated from building information model more quickly and reliably by extracting geometric data and semantic attributes of building elements. Manual quantity takeoff using two-dimensional (2D) drawings and personal knowledge is error-prone and time-consuming.

Autodesk quantity takeoff 2012