Exploring the Current Landscape of Image-Based BIM Technologies in Smart Building Deconstruction

The increasing interest in building deconstruction as a sustainable way to divert demolition waste and promote material reuse in line with circular economy principles is the focus of this research. Specifically, it investigates how image-based Building Information Modeling (BIM) integration can help with smart building deconstruction by using advanced technology to automatically extract information from existing structures. To map the available research, a systematic literature review and bibliometric analysis were carried out following PRISMA guidelines, and eighty-six relevant publications were selected for synthesis. Frequency analysis was used to determine publication trends over time, sources, and nations. The study also mapped authors, influential works, conceptual topics, and intellectual bases utilizing bibliometric networks via VOSviewer. The findings showed increasing stakeholder involvement and research outputs globally since 2015. Key authors and highly cited papers were identified that have helped the field evolve from early feasibility studies to industry-integrated demonstrations. However, there are still some limitations, such as deploying verified models in real demolition scenarios and the limited scope of applications. The study recommends expanding validated use cases and employing digital technologies to achieve sustainability goals. This study sheds light on the evolving landscape of building deconstruction, emphasizing the growth in research and stakeholder involvement while highlighting important gaps and offering recommendations for future progress. It provides valuable insights into the potential of image-based BIM integration in advancing smart building deconstruction processes.