Computer vision (CV) and Building Information Modeling (BIM) (CV-BIM) are increasingly used in digital construction, yet often operate as standalone tools rather than integrated socio-technological components for resilient, circular, and net-positive built environments. This separation limits data-rich visibility across the construction lifecycle. Therefore, this study explores CV-BIM integration for resilient construction.
The search was conducted on October 29, 2025, without date restrictions, and included 127 Web of Science journal articles with 4,453 cited references. Citation, co-citation, and co-occurrence analyses used VOSviewer. The bibliometric findings and selected case studies were used to develop a data-rich visibility roadmap.
Citation analysis identified three themes representing the field's intellectual foundations. Co-citation analysis revealed four clusters characterizing the current knowledge structure, while co-occurrence analysis identified five clusters indicating future research directions. The study also identified six case studies integrating CV and BIM for resilient construction. Accordingly, a data-rich visibility roadmap was developed to support lifecycle visibility and resilient built environment outcomes.
The roadmap informs theory and practice by translating identified gaps into measurable constructs, supporting hypothesis development, and prioritizing empirical validation of CV-BIM integration.
This study synthesizes fragmented CV-BIM research into a resilience-oriented roadmap for data-rich, circular, and net-positive built environments.
