Summary of literature in theoretical background
| n | References | Topic investigated |
|---|---|---|
| 2.1 Information management in the asset management process | ||
| 1 | Macchi et al. (2018) | DTs for asset life cycle management |
| 2 | Heaton (2020) | AIR to support AM |
| 3 | Alnaggar and Pitt (2019) | Process model for managing asset dataflow between stakeholders using BIM open standards |
| 4 | Lu et al. (2019) | Moving from BIM towards DT |
| 5 | Camposano et al. (2021) | Semantic understanding of DTs of built assets |
| 6 | Shahzad et al. (2022) | Challenges, applications and characteristics of DTs in the built environment |
| 7 | Heaton et al. (2019) | A BIM approach to the alignment of organizational objectives to AIR |
| 8 | Munir et al. (2020) | Information requirements for BIM-based asset management |
| 2.2 Digital asset management tools | ||
| 9 | Lu et al. (2020b) | DT-enabled anomaly detection for built asset monitoring in OM |
| 10 | Heaton and Parlikad (2020) | AIM to support the adoption of a DT |
| 11 | Boje et al. (2020) | Construction DT: Directions for future research |
| 12 | Lu et al. (2021) | Moving from BIM to DTs for OM |
| 2.3 Digital twins and artificial intelligence | ||
| 13 | Dietz and Pernul (2020) | A system of system approach to DTs |
| 14 | Jiang et al. (2021) | DT implementations in the civil engineering sector |
| 15 | Lee et al. (2021) | Integrated DT and blockchain framework |
| 16 | Lu et al. (2020a) | Development of a DT at building and city level |
| 17 | Opoku et al. (2021) | DT application in the construction industry |
| 18 | Yitmen et al. (2021) | DTs for building lifecycle management |
| 19 | Zhao et al., 2022a | Application of DT technologies to revamp building OM processes |
| 20 | Ozturk (2021) | DT research in the AECO-FM industry |
| 21 | Davila Delgado and Oyedele (2021) | DT for the built environment |
| 22 | Becerik-Gerber et al. (2012) | Data requirements for BIM-enabled facilities management |
| 23 | Lukesh et al. (2021) | DTs in construction and real estate |
| 24 | Gandomi and Haider (2015) | Big data concepts, methods and analytics |
| 25 | Zhao et al. (2022b) | OM system based on DTs and ML |
| 26 | Bouabdallaoui et al. (2021) | Predictive maintenance in building facilities using ML |
| 27 | Hong et al. (2020) | State-of-the-art research and applications of ML in the building life cycle |
| 28 | Pan and Zhang (2021) | The role of AI in construction engineering and management |
| 2.4 Blockchain-based digital twins | ||
| 29 | Bilal and Oyedele (2020) | Applied ML in construction industry |
| 30 | Rasheed et al. (2020) | DT Values, challenges and enablers from a modeling perspective |
| 31 | Suhail et al. (2022) | Blockchain-based DTs: research trends, issues and future challenges |
| 32 | Teisserenc and Sepasgozar (2021a) | Adoption of BCT through DTs in the construction industry 4.0 |
| 33 | Götz et al. (2022) | Applicability, interoperability and integrability of blockchain-based |
| 34 | Shojaei et al. (2020) | BCT for improving built asset sustainability |
| 35 | Turk and Klinc (2017) | Potentials of BCT for construction management |
| 36 | Salah et al. (2019) | Blockchain for AI |
| 37 | Teisserenc and Sepasgozar (2021b) | Blockchain-based DTs in construction industry 4.0 |
| 38 | Vranken (2017) | Sustainability of bitcoin and blockchains |
| 39 | Nawari and Ravindran (2019) | Blockchain and the built environment |
| 40 | Pedersen et al. (2019) | When to use BCT |
| 41 | Hasan et al. (2020) | Blockchain-based approach for creating a DT |
| 42 | Putz et al. (2021) | Blockchain-based secure DT information management |
| n | References | Topic investigated |
|---|---|---|
| 1 | DTs for asset life cycle management | |
| 2 | AIR to support AM | |
| 3 | Process model for managing asset dataflow between stakeholders using BIM open standards | |
| 4 | Moving from BIM towards DT | |
| 5 | Semantic understanding of DTs of built assets | |
| 6 | Challenges, applications and characteristics of DTs in the built environment | |
| 7 | A BIM approach to the alignment of organizational objectives to AIR | |
| 8 | Information requirements for BIM-based asset management | |
| 9 | DT-enabled anomaly detection for built asset monitoring in OM | |
| 10 | AIM to support the adoption of a DT | |
| 11 | Construction DT: Directions for future research | |
| 12 | Moving from BIM to DTs for OM | |
| 13 | A system of system approach to DTs | |
| 14 | DT implementations in the civil engineering sector | |
| 15 | Integrated DT and blockchain framework | |
| 16 | Development of a DT at building and city level | |
| 17 | DT application in the construction industry | |
| 18 | DTs for building lifecycle management | |
| 19 | Application of DT technologies to revamp building OM processes | |
| 20 | DT research in the AECO-FM industry | |
| 21 | DT for the built environment | |
| 22 | Data requirements for BIM-enabled facilities management | |
| 23 | DTs in construction and real estate | |
| 24 | Big data concepts, methods and analytics | |
| 25 | OM system based on DTs and ML | |
| 26 | Predictive maintenance in building facilities using ML | |
| 27 | State-of-the-art research and applications of ML in the building life cycle | |
| 28 | The role of AI in construction engineering and management | |
| 29 | Applied ML in construction industry | |
| 30 | DT Values, challenges and enablers from a modeling perspective | |
| 31 | Blockchain-based DTs: research trends, issues and future challenges | |
| 32 | Adoption of BCT through DTs in the construction industry 4.0 | |
| 33 | Applicability, interoperability and integrability of blockchain-based | |
| 34 | BCT for improving built asset sustainability | |
| 35 | Potentials of BCT for construction management | |
| 36 | Blockchain for AI | |
| 37 | Blockchain-based DTs in construction industry 4.0 | |
| 38 | Sustainability of bitcoin and blockchains | |
| 39 | Blockchain and the built environment | |
| 40 | When to use BCT | |
| 41 | Blockchain-based approach for creating a DT | |
| 42 | Blockchain-based secure DT information management | |
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