The evolution of digital twin applications in construction and the built environment: analysis of trends, research clusters and future directions

The integration of Digital Twins a concept with deep-roots in manufacturing into construction and the built-environment represents a burgeoning frontier. This paper provides a comprehensive scientometric analysis of research spanning from 1970 to 2024 to delineate the evolution, current landscape, and emerging trends in this field. Utilizing a meticulous search of titles, abstracts, and keywords within the Web of Science database, this study curated a dataset of 162 publications pertinent to digital twin applications in construction and the built-environment. Analyzed through the lens of CiteSpace software, findings spotlight pivotal contributions from leading nations including England, the United States, China, Australia, and Finland, with the University of Cambridge standing out for its prolific output. The analysis identifies seven pivotal research clusters, among them intelligent building representation, asset monitoring, and innovative active building systems. This study maps out the intellectual terrain of digital twin research, highlighting key institutions, influential authors, and research-hotspots. By offering a panoramic view of global trends, themes, patterns, and timelines, study aims to enrich the understanding of digital twin technology's current state and prospective directions. It is crafted to serve as a strategic resource for researchers, built-environment professionals, and policymakers, guiding future research endeavors in this dynamic domain.