Chen, Zhen-SongChen, Kou-DanXu, Ya-QiangPedrycz, WitoldSkibniewski, Miroslaw J.2024-05-192024-05-1920241474-03461873-5320https://doi.org10.1016/j.aei.2023.102245https://hdl.handle.net/20.500.12713/4828The digital twin (DT) represents a powerful tool for advancing construction industry to provide a cyber- physical integration that enables real-time monitoring of assets and activities and facilitates decision-making. Due to the inherent characteristics of the construction industry and the diverse possibilities with DT, proliferation of building digital twin (BDT) necessitates a comprehensive comprehension of its evolution and the creation of roadmaps. This paper aims to contribute to the formalization and standardization of BDT. It designs a novel assessment framework for the overall maturity measurement of existing BDT projects. The developed BDT maturity model incorporates a collective opinion generation paradigm based on a fairness aware multiobjective optimization model to provide an expert-based evaluation system for evaluating the maturity of BDT projects. The effectiveness and feasibility of the proposed framework have been validated through a case study of an experimental BDT initiative. This paper establishes a generalizable framework for BDT maturity assessment that can offer insights into BDT maturity standards to construction practitioners to create effective strategies for the diffusion, development, and maturation of BDT.eninfo:eu-repo/semantics/closedAccessBuilding Digital TwinMaturity ModelFairness ConcernMultiobjective OptimizationProbability Distribution FunctionArticle59WOS:001112333600001N/A10.1016/j.aei.2023.102245