A review of drivers and barriers of Digital Twin adoption in building project development processes
Open accessAbstract
Over the past few years, the AECO Industry has undergone a shift toward digital transformation, with a growing trend towards adopting innovative technologies such as Digital Twin (DT). DT offers a wide range of applications throughout the building development process. However, some specific factors impede its widespread adoption in the building industry. This study aims to systematically review the available literature on the building project development process from the perspective of DT, with a particular focus on predictive simulations, i.e., co-sims. The review provides a comprehensive overview of drivers and barriers to DT adoption through an analysis of 147 studies between 2013 and 2023. The research identifies seven external and 41 internal drivers, including efficient project management and monitoring, predictive maintenance, and the collection and visualization of real-time data, all of which contribute to improved decision-making processes and reduced operational expenses. Further, the study identifies nine external and 31 internal barriers that impede the adoption of DT in the building development process. These barriers encompass challenges such as a high initial investment cost, a scarcity of a skilled workforce, difficulties in data interoperability, and resistance to change within the organization. A key outcome of the literature review is having identified the opportunity to exploit technologies developed in the automotive sector that enable a seamless integration of specialized simulator models in building development processes, resulting in collaborative simulations. Thus, we propose the concept of a Building Simulation Identity Card (BSIC) to be pursued in future research that would enable stakeholders to address the challenges of collaboration, cooperation, coordination, and communication by creating a common vocabulary to effectively facilitate the adoption of DT in the building's development process.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
High implementation costs are one of the most frequently cited and tangible barriers to the adoption of digital twin systems in civil infrastructures.
“One of the most frequently cited and tangible barriers to the adoption of DTs systems in civil infrastructures is the high implementation costs.”
From Advancing civil infrastructure with digital twins: a review of applications and challenges (2025) · cites this paper as Jahangir et al., 2024
Implementation costs of digital twins in civil engineering remain high due to the need for sophisticated sensors, high-performance computing, and advanced simulation tools.
“These challenges include high implementation costs due to the need for sophisticated sensors, high-performance computing, and advanced simulation tools.”
From Advancing civil infrastructure with digital twins: a review of applications and challenges (2025) · cites this paper as Jahangir et al., 2024
Jahangir et al. (2024) found high initial investment as a top deterrent across surveyed organizations.
“Finds high initial investment as atop deterrent across surveyed organizations”
From Advancing civil infrastructure with digital twins: a review of applications and challenges (2025) · cites this paper as Jahangir et al. (2024)
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042 · see citing works
The internet of things: a survey
Li, S., Xu, L., & Zhao, S.-S. (2014) · Information Systems Frontiers · doi:10.1007/s10796-014-9492-7 · Cited by 9,888 · see citing works
Understanding digital transformation: A review and a research agenda
Vial, G. (2019) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2019.01.003 · Cited by 7,337 · see citing works
Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems
Grieves, M., & Vickers, J. (2017) · Transdisciplinary Perspectives on Complex Systems · doi:10.1007/978-3-319-38756-7_4 · Cited by 3,727 · see citing works
Digital Twin in manufacturing: A categorical literature review and classification
Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.474 · Cited by 3,612 · see citing works
Design Principles for Industrie 4.0 Scenarios
Hermann, M., Pentek, T., & Otto, B. (2016) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.488 · Cited by 2,978 · see citing works
Digital twin: Enabling technologies, challenges and open research
Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020) · IEEE Access · doi:10.1109/access.2020.2998358 · Cited by 2,965 · see citing works
Digital twin-driven product design, manufacturing and service with big data
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920 · see citing works
The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
Glaessgen, E., & Stargel, D. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA · doi:10.2514/6.2012-1818 · Cited by 2,404 · see citing works
Gusenbauer, M., & Haddaway, N. R. (2020) · Research Synthesis Methods · doi:10.1002/jrsm.1378 · Cited by 2,379 · see citing works
Industry 4.0, digitization, and opportunities for sustainability
Ghobakhloo, M. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119869 · Cited by 2,298 · see citing works
Internet of Things (IoT): A Literature Review
Madakam, S., Ramaswamy, R., & Tripathi, S. (2015) · Journal of Computer and Communications · doi:10.4236/jcc.2015.35021 · Cited by 2,085 · see citing works
Review of digital twin about concepts, technologies, and industrial applications
Liu, M., Fang, S., Dong, H., & Xu, C. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.06.017 · Cited by 1,965 · see citing works
Towards a semantic Construction Digital Twin: Directions for future research
Boje, C., Guerriero, A., Kubicki, S., & Rezgui, Y. (2020) · Automation in Construction · doi:10.1016/j.autcon.2020.103179 · Cited by 1,477 · see citing works
Sağıroğlu, Ş., & Terzi, D. S. (2013) · International Conference on Collaboration Technologies and Systems (CTS) · doi:10.1109/cts.2013.6567202 · Cited by 1,425 · see citing works
Leveraging Digital Twin Technology in Model-Based Systems Engineering
Madni, A. M., Madni, C. C., & Lucero, S. D. (2019) · Systems · doi:10.3390/systems7010007 · Cited by 1,050 · see citing works
Baduge, S. K., Thilakarathna, S., Perera, J. S., Arashpour, M., Sharafi, P., Teodosio, B., Shringi, A., & Mendis, P. (2022) · Automation in Construction · doi:10.1016/j.autcon.2022.104440 · Cited by 1,007 · see citing works
Eastman, C., Teicholz, P. M., Sacks, R., & Liston, K. (2008) · Wiley eBooks · doi:10.1002/9780470261309 · Cited by 894 · see citing works
Digital Twin Technology Challenges and Applications: A Comprehensive Review
Botín-Sanabria, D. M., Mihaita, A.-S., Peimbert-García, R. E., Ramírez-Moreno, M. A., Ramírez-Mendoza, R. A., & Lozoya-Santos, J. D. J. (2022) · Remote Sensing · doi:10.3390/rs14061335 · Cited by 878 · see citing works
Digital twin application in the construction industry: A literature review
Opoku, D.-G. J., Perera, S., Osei-Kyei, R., & Rashidi, M. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.102726 · Cited by 753 · see citing works
Digital twin: benefits, use cases, challenges, and opportunities
Attaran, M., & Celik, B. G. (2023) · Decision Analytics Journal · doi:10.1016/j.dajour.2023.100165 · Cited by 704 · see citing works
Digital Twin: Vision, Benefits, Boundaries, and Creation for Buildings
Khajavi, S. H., Motlagh, N. H., Jaribion, A., Werner, L. C., & Holmström, J. (2019) · IEEE Access · doi:10.1109/access.2019.2946515 · Cited by 623 · see citing works
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
Wang, J., Ye, L., Gao, R. X., Li, C., & Zhang, L. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1552032 · Cited by 552 · see citing works
Toward a Digital Twin for real-time geometry assurance in individualized production
Söderberg, R., Wärmefjord, K., Carlson, J. S., & Lindkvist, L. (2017) · CIRP Annals · doi:10.1016/j.cirp.2017.04.038 · Cited by 543 · see citing works
Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus
Lu, Q., Parlikad, A. K., Woodall, P., Ranasinghe, G. D., Xie, X., Liang, Z., Konstantinou, E., Heaton, J., & Schooling, J. M. (2020) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000763 · Cited by 532 · see citing works
Digital twin and its implementations in the civil engineering sector
Jiang, F., Ma, L., Broyd, T., & Chen, K. (2021) · Automation in Construction · doi:10.1016/j.autcon.2021.103838 · Cited by 531 · see citing works
Digital Twin Data Modeling with AutomationML and a Communication Methodology for Data Exchange
Schroeder, G. N., Steinmetz, C., Pereira, C. E., & Espíndola, D. B. (2016) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2016.11.115 · Cited by 495 · see citing works
Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance
Lu, Q., Xie, X., Parlikad, A. K., & Schooling, J. M. (2020) · Automation in Construction · doi:10.1016/j.autcon.2020.103277 · Cited by 484 · see citing works
Cloud computing in construction industry: Use cases, benefits and challenges
Bello, S. A., Oyedele, L. O., Akinadé, O. O., Bilal, M., Delgado, J. M. D., Akanbi, L., Ajayi, A., & Owolabi, H. A. (2020) · Automation in Construction · doi:10.1016/j.autcon.2020.103441 · Cited by 452 · see citing works
Deng, M., Menassa, C., & Kamat, V. (2021) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2021.005 · Cited by 448 · see citing works
Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions
Pan, Y., & Zhang, L. (2022) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-022-09830-8 · Cited by 446 · see citing works
Ebert, C., & Duarte, C. H. C. (2018) · IEEE Software · doi:10.1109/ms.2018.2801537 · Cited by 424 · see citing works
Building blocks for a digital twin of additive manufacturing
Knapp, G. L., Mukherjee, T., Zuback, J. S., Wei, H. L., Palmer, T. A., De, A., & DebRoy, T. (2017) · Acta Materialia · doi:10.1016/j.actamat.2017.06.039 · Cited by 414 · see citing works
Sepasgozar, S. M. E. (2021) · Buildings · doi:10.3390/buildings11040151 · Cited by 381 · see citing works
Wuni, I. Y., Shen, Q., & Osei‐Kyei, R. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.02.010 · Cited by 372 · see citing works
Searching for studies: a guide to information retrieval for Campbell systematic reviews
Kugley, S., Wade, A., Thomas, J., Mahood, Q., Jørgensen, A. K., Hammerstrøm, K., & Sathe, N. (2017) · Campbell Systematic Reviews · doi:10.4073/cmg.2016.1 · Cited by 371 · see citing works
Shahzad, M., Shafiq, M. T., Douglas, D., & Kassem, M. (2022) · Buildings · doi:10.3390/buildings12020120 · Cited by 356 · see citing works
Technologies for digital twin applications in construction
Tuhaise, V. V., Tah, J. H. M., & Abanda, F. H. (2023) · Automation in Construction · doi:10.1016/j.autcon.2023.104931 · Cited by 350 · see citing works
Xia, H., Liu, Z., Efremochkina, M., Liu, X., & Lin, C. (2022) · Sustainable Cities and Society · doi:10.1016/j.scs.2022.104009 · Cited by 345 · see citing works
Santos, R., Costa, A. A., & Grilo, A. (2017) · Automation in Construction · doi:10.1016/j.autcon.2017.03.005 · Cited by 324 · see citing works
BIM Implementation – Global Strategies
Smith, P. (2014) · Procedia Engineering · doi:10.1016/j.proeng.2014.10.575 · Cited by 324 · see citing works
Utilizing Industry 4.0 on the Construction Site: Challenges and Opportunities
Turner, C. J., Oyekan, J. O., Stergioulas, L. K., & Griffin, D. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3002197 · Cited by 310 · see citing works
Planning and developing facility management-enabled building information model (FM-enabled BIM)
Pishdad-Bozorgi, P., Gao, X., Eastman, C. M., & Self, A. P. (2017) · Automation in Construction · doi:10.1016/j.autcon.2017.12.004 · Cited by 301 · see citing works
An overview of machine learning applications for smart buildings
Alanne, K., & Sierla, S. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.103445 · Cited by 282 · see citing works
Building Information Modelling, Artificial Intelligence and Construction Tech
Sacks, R., Girolami, M., & Brilakis, I. (2020) · Developments in the Built Environment · doi:10.1016/j.dibe.2020.100011 · Cited by 271 · see citing works
Blockchain for digital twins: recent advances and future research challenges
Yaqoob, I., Salah, K., Uddin, M., Jayaraman, R., Omar, M., & Imran, M. (2020) · IEEE Network · doi:10.1109/mnet.001.1900661 · Cited by 256 · see citing works
Angjeliu, G., Coronelli, D., & Cardani, G. (2020) · Computers & Structures · doi:10.1016/j.compstruc.2020.106282 · Cited by 251 · see citing works
Shishehgarkhaneh, M. B., Keivani, A., Moehler, R., Jelodari, N., & Laleh, S. R. (2022) · Buildings · doi:10.3390/buildings12101503 · Cited by 244 · see citing works
Digital twins: An analysis framework and open issues
Boyes, H. A., & Watson, T. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103763 · Cited by 241 · see citing works
A Digital-Twin Evaluation of Net Zero Energy Building for Existing Buildings
Kaewunruen, S., Rungskunroch, P., & Welsh, J. (2018) · Sustainability · doi:10.3390/su11010159 · Cited by 241 · see citing works
Qian, C., Liu, X., Ripley, C., Qian, M., Liang, F., & Yu, W. (2022) · Future Internet · doi:10.3390/fi14020064 · Cited by 235 · see citing works
Arsiwala, A., Elghaish, F., & Zoher, M. (2023) · Energy and Buildings · doi:10.1016/j.enbuild.2023.112851 · Cited by 221 · see citing works
Digital Twins’ Applications for Building Energy Efficiency: A Review
Bortolini, R., Rodrigues, R., Alavi, H., Vecchia, L. F. D., & Forcada, N. (2022) · Energies · doi:10.3390/en15197002 · Cited by 214 · see citing works
Leveraging Digital Twin for Sustainability Assessment of an Educational Building
Tagliabue, L. C., Cecconi, F. R., Maltese, S., Rinaldi, S., Ciribini, A. L. C., & Flammini, A. (2021) · Sustainability · doi:10.3390/su13020480 · Cited by 212 · see citing works
A Blockchain-Based Approach for the Creation of Digital Twins
Hasan, H. R., Salah, K., Jayaraman, R., Omar, M., Yaqoob, I., Pešić, S., Taylor, T., & Boscovic, D. (2020) · IEEE Access · doi:10.1109/access.2020.2974810 · Cited by 193 · see citing works
Digital Twin for Sustainability Evaluation of Railway Station Buildings
Kaewunruen, S., & Xu, N. (2018) · Frontiers in Built Environment · doi:10.3389/fbuil.2018.00077 · Cited by 192 · see citing works
Zhao, J., Feng, H., Chen, Q., & Garcia de Soto, B. (2022) · Journal of Building Engineering · doi:10.1016/j.jobe.2022.104028 · Cited by 192 · see citing works
An investigation for integration of deep learning and digital twins towards Construction 4.0
Kor, M., Yitmen, İ., & Alizadehsalehi, S. (2022) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-08-2021-0148 · Cited by 188 · see citing works
Semi-automatic geometric digital twinning for existing buildings based on images and CAD drawings
Lu, Q., Chen, L., Li, S., & Pitt, M. (2020) · Automation in Construction · doi:10.1016/j.autcon.2020.103183 · Cited by 185 · see citing works
Digital twins in infrastructure: definitions, current practices, challenges and strategies
Broo, D. G., & Schooling, J. (2023) · International Journal of Construction Management · doi:10.1080/15623599.2021.1966980 · Cited by 184 · see citing works
Digital Twins for Construction Sites: Concepts, LoD Definition, and Applications
Zhang, J., Cheng, J. C. P., Chen, W., & Chen, K. (2021) · Journal of Management in Engineering · doi:10.1061/(asce)me.1943-5479.0000948 · Cited by 180 · see citing works
From BIM Towards Digital Twin: Strategy and Future Development for Smart Asset Management
Lu, Q., Xie, X., Heaton, J., Parlikad, A. K., & Schooling, J. M. (2019) · Studies in computational intelligence · doi:10.1007/978-3-030-27477-1_30 · Cited by 177 · see citing works
A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective
Ladj, A., Wang, Z., Meski, O., Belkadi, F., Ritou, M., & Cunha, C. M. D. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.07.018 · Cited by 173 · see citing works
Digital Twin Research in the AECO-FM Industry
Ozturk, G. B. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.102730 · Cited by 172 · see citing works
Digital Twin Hospital Buildings: An Exemplary Case Study through Continuous Lifecycle Integration
Peng, Y., Zhang, M., Yu, F.-Q., Xu, J., & Gao, S. (2020) · Advances in Civil Engineering · doi:10.1155/2020/8846667 · Cited by 172 · see citing works
Rafsanjani, H. N., & Nabizadeh, A. H. (2021) · Energy and Built Environment · doi:10.1016/j.enbenv.2021.10.004 · Cited by 170 · see citing works
Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin
Liu, J., Zhou, H., Liu, X., Tian, G., Wu, M., Cao, L., & Wang, W. (2019) · IEEE Access · doi:10.1109/access.2019.2893309 · Cited by 167 · see citing works
Peeking into the void: Digital twins for construction site logistics
Greif, T., Stein, N., & Flath, C. M. (2020) · Computers in industry (Print) · doi:10.1016/j.compind.2020.103264 · Cited by 162 · see citing works
A Review of the Digital Twin Technology in the AEC‐FM Industry
Hosamo, H., Imran, A., Cardenas-Cartagena, J., Svennevig, P. R., Svidt, K., & Nielsen, H. K. (2022) · Advances in Civil Engineering · doi:10.1155/2022/2185170 · Cited by 161 · see citing works
Towards next generation cyber-physical systems and digital twins for construction
Akanmu, A., Anumba, C., & Ogunseiju, O. O. (2021) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2021.027 · Cited by 159 · see citing works
Digital Twin in Industry 4.0: Technologies, Applications and Challenges
Pires, F., Cachada, A., Barbosa, J., Moreira, A., & Leitão, P. (2019) · International Conference on Industrial Informatics · doi:10.1109/indin41052.2019.8972134 · Cited by 157 · see citing works
Niu, Y., Lu, W., Chen, K., Huang, G. G., & Anumba, C. (2015) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000550 · Cited by 155 · see citing works
Digital Twins for Intelligent Green Buildings
Yang, B., Lv, Z., & Wang, F. (2022) · Buildings · doi:10.3390/buildings12060856 · Cited by 152 · see citing works
Digital Twins in the Construction Industry: A Perspective of Practitioners and Building Authority
Ammar, A., Nassereddine, H., AbdulBaky, N., AbouKansour, A., Tannoury, J., Urban, H., & Schranz, C. (2022) · Frontiers in Built Environment · doi:10.3389/fbuil.2022.834671 · Cited by 148 · see citing works
Sepasgozar, S. M. E., Hui, F. K. P., Shirowzhan, S., Foroozanfar, M., Yang, L., & Aye, L. (2020) · Sustainability · doi:10.3390/su13010161 · Cited by 146 · see citing works
Hosamo, H., Nielsen, H. K., Kraniotis, D., Svennevig, P. R., & Svidt, K. (2023) · Energy and Buildings · doi:10.1016/j.enbuild.2023.112992 · Cited by 140 · see citing works
Clausen, A., Arendt, K., Johansen, A., Sangogboye, F. C., Kjærgaard, M. B., Veje, C. T., & Jôrgensen, B. N. (2021) · Energy Informatics · doi:10.1186/s42162-021-00153-9 · Cited by 137 · see citing works
Drivers for Digital Twin Adoption in the Construction Industry: A Systematic Literature Review
Opoku, D.-G. J., Perera, S., Osei‐Kyei, R., Rashidi, M., Famakinwa, T., & Bamdad, K. (2022) · Buildings · doi:10.3390/buildings12020113 · Cited by 134 · see citing works
Su, S., Zhong, R. Y., Jiang, Y., Song, J., Yang, F., & Cao, H. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.102030 · Cited by 130 · see citing works
Building demolition waste management through smart BIM: A case study in Hong Kong
Kang, K., Besklubova, S., Dai, Y., & Zhong, R. Y. (2022) · Waste Management · doi:10.1016/j.wasman.2022.02.027 · Cited by 122 · see citing works
Barriers to the Adoption of Digital Twin in the Construction Industry: A Literature Review
Opoku, D.-G. J., Perera, S., Osei‐Kyei, R., Rashidi, M., Bamdad, K., & Famakinwa, T. (2023) · Informatics · doi:10.3390/informatics10010014 · Cited by 121 · see citing works
Naderi, H., & Shojaei, A. (2023) · Automation in Construction · doi:10.1016/j.autcon.2023.104785 · Cited by 115 · see citing works
Post-Earthquake Building Evaluation Using UAVs: A BIM-Based Digital Twin Framework
LEVINE, N. M., & Spencer, B. F. (2022) · Sensors · doi:10.3390/s22030873 · Cited by 114 · see citing works
A review of the Digital Twin technology for fault detection in buildings
Hosamo, H., Nielsen, H. K., Alnmr, A., Svennevig, P. R., & Svidt, K. (2022) · Frontiers in Built Environment · doi:10.3389/fbuil.2022.1013196 · Cited by 110 · see citing works
Moving from building information models to digital twins for operation and maintenance
Lu, Q., Xie, X., Parlikad, A. K., Schooling, J. M., & Konstantinou, E. (2020) · Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction · doi:10.1680/jsmic.19.00011 · Cited by 110 · see citing works
Zhao, L., Zhang, H., Wang, Q., & Wang, H. (2021) · Advances in Civil Engineering · doi:10.1155/2021/6638897 · Cited by 106 · see citing works
Conferences vs. journals in computing research
Vardi, M. Y. (2009) · Communications of the ACM · doi:10.1145/1506409.1506410 · Cited by 104 · see citing works
Blockchain Technology toward Smart Construction: Review and Future Directions
Liu, H., Han, S., & Zhu, Z. (2023) · Journal of Construction Engineering and Management · doi:10.1061/jcemd4.coeng-11929 · Cited by 100 · see citing works
Improving construction safety with virtual-design construction technologies – a review
Afzal, M., Shafiq, M. T., & Jassmi, H. A. (2021) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2021.018 · Cited by 94 · see citing works
Cybersecurity for digital twins in the built environment: current research and future directions
Alshammari, K., Beach, T., & Rezgui, Y. (2021) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2021.010 · Cited by 93 · see citing works
Banfi, F., Brumana, R., Salvalai, G., & Previtali, M. (2022) · Energies · doi:10.3390/en15124497 · Cited by 93 · see citing works
Kineber, A. F., Singh, A. K., Fazeli, A., Mohandes, S. R., Cheung, C. M., Arashpour, M., EJOHWOMU, O. A., & Zayed, T. M. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104930 · Cited by 91 · see citing works
Options for and Challenges of Employing Digital Twins in Construction Management
Salem, T., & Dragomir, M. (2022) · Applied Sciences · doi:10.3390/app12062928 · Cited by 90 · see citing works
Alaloul, W. S., Qureshi, A. H., Musarat, M. A., & Saad, S. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.102877 · Cited by 88 · see citing works
Digital twins for performance management in the built environment
Petri, I., Rezgui, Y., Ghoroghi, A., & Alzahrani, A. (2023) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2023.100445 · Cited by 88 · see citing works
Automatic description of complex buildings from multiple images
Kim, Z., & Nevatia, R. (2004) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2004.05.004 · Cited by 87 · see citing works
Seven Metaphors to Understand Digital Twins of Built Assets
Camposano, J. C., Smolander, K., & Ruippo, T. (2021) · IEEE Access · doi:10.1109/access.2021.3058009 · Cited by 86 · see citing works
Halbach, S., Sharer, P. B., Pagerit, S., Rousseau, A. P., & Folkerts, C. (2010) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2010-01-0241 · Cited by 80 · see citing works
Classifying the operational energy performance of buildings with the use of digital twins
Spūdys, P., Afxentiou, N., Georgali, P., Klumbytė, E., Jurelionis, A., & Fokaides, P. A. (2023) · Energy and Buildings · doi:10.1016/j.enbuild.2023.113106 · Cited by 79 · see citing works
Li, M., Lu, Q., Bai, S., Zhang, M., Tian, H., & Qin, L. (2021) · Automation in Construction · doi:10.1016/j.autcon.2021.103961 · Cited by 77 · see citing works
Digital Twins and Road Construction Using Secondary Raw Materials
Meža, S., Pranjić, A. M., Vezočnik, R., Osmokrović, I., & Lenart, S. (2021) · Journal of Advanced Transportation · doi:10.1155/2021/8833058 · Cited by 75 · see citing works
Almusaed, A., & Yitmen, İ. (2023) · Sustainability · doi:10.3390/su15064955 · Cited by 75 · see citing works
Xie, M., Qiu, Y., Liang, Y., Zhou, Y., Liu, Z., & Zhang, G. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.05.008 · Cited by 72 · see citing works
Digital Twin-Based Assessment Framework for Energy Savings in University Classroom Lighting
Seo, H., & Yun, W.-S. (2022) · Buildings · doi:10.3390/buildings12050544 · Cited by 72 · see citing works
Integration of Digital Twin and Circular Economy in the Construction Industry
Meng, X., Das, S., & Meng, J. (2023) · Sustainability · doi:10.3390/su151713186 · Cited by 71 · see citing works
Fotland, G., Haskins, C., & Rølvåg, T. (2019) · Systems Engineering · doi:10.1002/sys.21503 · Cited by 68 · see citing works
Productivity monitoring in building construction projects: a systematic review
Alaloul, W. S., Alzubi, K. M., Malkawi, A. B., Salaheen, M. A., & Musarat, M. A. (2021) · Engineering Construction & Architectural Management · doi:10.1108/ecam-03-2021-0211 · Cited by 68 · see citing works
Newaz, M. T., Ershadi, M., Carothers, L., Jefferies, M. C., & Davis, P. R. (2021) · Safety Science · doi:10.1016/j.ssci.2021.105618 · Cited by 68 · see citing works
Adoption of Big Data analytics in construction: development of a conceptual model
Ram, J., Afridi, N. K., & Khan, K. A. (2019) · Built Environment Project and Asset Management · doi:10.1108/bepam-05-2018-0077 · Cited by 66 · see citing works
Review of Digital Twins for Constructed Facilities
Khallaf, R., Khallaf, L., Anumba, C., & Madubuike, O. C. (2022) · Buildings · doi:10.3390/buildings12112029 · Cited by 64 · see citing works
Digital twins in manufacturing: an assessment of drivers, enablers and barriers to implementation
Neto, A. A., Deschamps, F., da Silva, E. R., & de Lima, E. P. (2020) · Procedia CIRP · doi:10.1016/j.procir.2020.04.131 · Cited by 63 · see citing works
Jiang, Y.-S., Li, M., Wu, W., Wu, X.-Q., Zhang, X., Huang, X.-Y., Zhong, R., & Huang, G. G. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2023.101951 · Cited by 61 · see citing works
Construction and Maintenance of Building Geometric Digital Twins: State of the Art Review
Drobnyi, V., Hu, Z., Fathy, Y., & Brilakis, I. (2023) · Sensors · doi:10.3390/s23094382 · Cited by 61 · see citing works
Digital Twins in Architecture, Engineering, Construction and Operations. A Brief Review and Analysis
Al-Sehrawy, R., & Kumar, B. (2020) · Lecture notes in civil engineering · doi:10.1007/978-3-030-51295-8_64 · Cited by 59 · see citing works
Al-Raqeb, H., Ghaffar, S. H., Al‐Kheetan, M. J., & Chougan, M. (2023) · Cleaner Waste Systems · doi:10.1016/j.clwas.2023.100075 · Cited by 59 · see citing works
Energy Consumption Forecasting for the Digital-Twin Model of the Building
Henzel, J., Wróbel, Ł., Fice, M., & Sikora, M. (2022) · Energies · doi:10.3390/en15124318 · Cited by 58 · see citing works
Daniotti, B., Masera, G., Bolognesi, C. M., Spagnolo, S. L., Pavan, A., Iannaccone, G., Signorini, M., Ciuffreda, S., Mirarchi, C., Lucky, M. N., et al. (2022) · Buildings · doi:10.3390/buildings12020231 · Cited by 56 · see citing works
Park, J.-S., Lee, D.-G., Jimenez, J. A., Lee, S., & Kim, J. W. (2023) · Applied Sciences · doi:10.3390/app13074598 · Cited by 56 · see citing works
Cyber-Physical Systems Design: Formal Foundations, Methods and Integrated Tool Chains
Fitzgerald, J. S., Gamble, C., Larsen, P. G., Pierce, K. G., & Woodcock, J. (2015) · IEEE/ACM International Conference on Formal Methods in Software Engineering (FormaliSE) · doi:10.1109/formalise.2015.14 · Cited by 55 · see citing works
Ni, Z., Liu, Y., Karlsson, M., & Gong, S. (2022) · IEEE Access · doi:10.1109/access.2022.3202181 · Cited by 55 · see citing works
The Internet of Things: Limitless Opportunities for Business and Society
Attaran, M. (2017) · Journal of Strategic Innovation and Sustainability · Cited by 53 · see citing works
Major opportunities of digital twins for smart buildings: a scientometric and content analysis
Ghansah, F. A., & Lu, W. (2023) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-09-2022-0192 · Cited by 53 · see citing works
Geometric parameter updating in digital twin of built assets: A systematic literature review
Osadcha, I., Jurelionis, A., & Fokaides, P. A. (2023) · Journal of Building Engineering · doi:10.1016/j.jobe.2023.106704 · Cited by 51 · see citing works
Fit-for-purpose: Measuring occupancy to support commercial building operations: A review
Azimi, S., & O’Brien, W. (2022) · Building and Environment · doi:10.1016/j.buildenv.2022.108767 · Cited by 50 · see citing works
Office building occupancy monitoring through image recognition sensors
Mannino, A., Moretti, N., Dejaco, M. C., Baresi, L., & Fulvio, R. C. (2019) · International Journal of Safety and Security Engineering · doi:10.2495/safe-v9-n4-371-380 · Cited by 49 · see citing works
Integration of digital technologies in the field of construction in the Russian Federation
Aleksandrova, E. B., Vinogradova, V., & Tokunova, G. F. (2019) · Engineering Management in Production and Services · doi:10.2478/emj-2019-0019 · Cited by 47 · see citing works
Zhang, A., Yang, J., & Wang, F. (2023) · Journal of Building Engineering · doi:10.1016/j.jobe.2023.107859 · Cited by 46 · see citing works
Emergence of Digital TwinsPreprint
Datta, S. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1610.06467 · Cited by 45 · see citing works
Sirin, G., Paredis, C. J. J., Yannou, B., Coatanéa, É., & Landel, E. (2015) · IEEE Systems Journal · doi:10.1109/jsyst.2014.2371541 · Cited by 44 · see citing works
The Concept of Digital Twin for Construction Safety
Teizer, J., Johansen, K. W., & Schultz, C. P. L. (2022) · ASCE Construction Research Congress (CRC) · doi:10.1061/9780784483961.121 · Cited by 43 · see citing works
Self-citationBarkokébas, B., Al‐Hussein, M., & Hamzeh, F. (2022) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0002420 · Cited by 42 · see citing works
Torrecilla-García, J. A., Pardo-Ferreira, M., & Rubio-Romero, J. (2021) · Dirección y Organización · doi:10.37610/dyo.v0i74.600 · Cited by 37 · see citing works
Hoeft, M., & Trask, C. (2022) · Sustainability · doi:10.3390/su14106104 · Cited by 35 · see citing works
A tool-based system architecture for a digital twin: a case study in a healthcare facility
Harode, A., Thabet, W., & Dongre, P. (2023) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2023.006 · Cited by 35 · see citing works
A linked-data paradigm for the integration of static and dynamic building data in digital twins
Mavrokapnidis, D., Katsigarakis, K., Pauwels, P., Petrova, E., Korolija, I., & Rovas, D. (2021) · ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) · doi:10.1145/3486611.3491125 · Cited by 35 · see citing works
Digital twin development for airport management
Oliveira, P. P. (2020) · Journal of Airport Management · doi:10.69554/pzmm9316 · Cited by 34 · see citing works
Sensor Control in Anti-Submarine Warfare—A Digital Twin and Random Finite Sets Based Approach
Wang, P., Yang, M., Peng, Y., Zhu, J., Ju, R.-S., & Yin, Q.-J. (2019) · Entropy · doi:10.3390/e21080767 · Cited by 34 · see citing works
Prinsloo, T., & Deventer, J. P. V. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-71084-6_7 · Cited by 33 · see citing works
Flood Damage Assessment: A Review of Microscale Methodologies for Residential Buildings
Aribisala, O. D., Yum, S., Adhikari, M. D., & Song, M. (2022) · Sustainability · doi:10.3390/su142113817 · Cited by 32 · see citing works
Civil Infrastructure Digital Twins: Multi-Level Knowledge Map, Research Gaps, and Future Directions
Naderi, H., & Shojaei, A. (2022) · IEEE Access · doi:10.1109/access.2022.3223557 · Cited by 31 · see citing works
Trading building demolition waste via digital twins
Su, S., Yu, C., Jiang, Y., Kang, K., & Zhong, R. Y. (2023) · Automation in Construction · doi:10.1016/j.autcon.2023.105105 · Cited by 30 · see citing works
Towards Data-centric Decision Making for Smart Infrastructure: Data and Its Challenges
Broo, D. G., & Schooling, J. M. (2020) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2020.11.014 · Cited by 28 · see citing works
Digital Twin in the Architecture, Engineering, and Construction Industry: A Bibliometric Review
Almatared, M., Liu, H.-X., Tang, S.-X., Sulaiman, M., Lei, Z., & Li, H.-X. (2022) · Construction Research Congress 2022 · doi:10.1061/9780784483961.070 · Cited by 28 · see citing works
Applications of digital technologies for health and safety management in construction
Haupt, T. C., Akinlolu, M., & Raliile, M. T. (2019) · World Construction Symposium (WCS) · doi:10.31705/wcs.2019.9 · Cited by 26 · see citing works
BUILDING DIGITAL TWINS FOR SMART CITIES: A CASE STUDY IN GREECE
Evangelou, T., Gkeli, M., & Potsiou, C. (2022) · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-annals-x-4-w2-2022-61-2022 · Cited by 26 · see citing works
Extending capabilities of BIM to support performance based design
Jung, N., Häkkinen, T., & Rekola, M. (2018) · Aaltodoc (Aalto University) · Cited by 25 · see citing works
Re-design of smart homes with digital twins
Gopinath, V., Srija, A. S., & Sravanthi, C. N. (2019) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1228/1/012031 · Cited by 22 · see citing works
Ali, A. K., & Badinelli, R. D. (2016) · Procedia Engineering · doi:10.1016/j.proeng.2016.04.038 · Cited by 21 · see citing works
Towards a Credibility Assessment of Models and Simulations
Luckring, J. M., Tripathi, R., Zang, T. A., Green, L. L., Morrison, J., & Blattnig, S. R. (2008) · NASA STI Repository (National Aeronautics and Space Administration) · Cited by 18 · see citing works
Design and Construction Integration Technology Based on Digital Twin
Zhou, L., An, C., Shi, J., Lv, Z., & Liang, H. (2021) · Power System and Green Energy Conference (PSGEC) · doi:10.1109/psgec51302.2021.9541682 · Cited by 16 · see citing works
Guidance for Materials 4.0 to interact with a digital twin
Cogswell, D. J., Paramatmuni, C., Scotti, L., & Moffat, J. P. (2022) · Data-Centric Engineering · doi:10.1017/dce.2022.23 · Cited by 16 · see citing works
Integrating Digital Twin Technology Into Large Panel System Estates Retrofit Projects
Duch-Żebrowska, P., & Zielonko-Jung, K. (2021) · Urban Planning · doi:10.17645/up.v6i4.4464 · Cited by 15 · see citing works
Digital Twins in the Built Environment
Lu, Q., Xie, X., Parlikad, A. K., Schooling, J. M., & Pitt, M. (2022) · doi:10.1680/dtbe.65802 · Cited by 15 · see citing works
Designing a Large-Scale Immersive Visit in Architecture, Engineering, and Construction
Belaroussi, R., Dai, H., González, E. D., & Martín‐Gutiérrez, J. (2023) · Applied Sciences · doi:10.3390/app13053044 · Cited by 15 · see citing works
The FMI 3.0 Standard Interface for Clocked and Scheduled Simulations
Gomes, C. Â. G., Blochwitz, T., Bertsch, C., Wernersson, K., Schuch, K., Pierre, R., Kotte, O., Zacharias, I., Blesken, M., Sommer, T., et al. (2021) · Linköping electronic conference proceedings · doi:10.3384/ecp2118127 · Cited by 13 · see citing works
Xie, X., Moretti, N., Merino, J., Chang, J. Y., Pauwels, P., & Parlikad, A. K. (2022) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/1101/9/092010 · Cited by 13 · see citing works
Bujari, A., Calvio, A., Foschini, L., Sabbioni, A., & Antonio Corradi, A. (2021) · International Conference on Information Technology for Social Good (GoodIT) · doi:10.1145/3462203.3475919 · Cited by 12 · see citing works
Co-simulation at different levels of expertise with Maestro2
Hansen, S. T., Thule, C., Gomes, C. Â. G., Lausdahl, K., Madsen, F. P., Abbiati, G., & Larsen, P. G. (2023) · Journal of Systems and Software · doi:10.1016/j.jss.2023.111905 · Cited by 10 · see citing works
Developing a methodological framework for adopting digitalization for deconstruction planning
Jin, R., Panuwatwanich, K., Adamu, Z. A., Madanayake, U., & Ebohon, O. J. (2021) · AIP conference proceedings · doi:10.1063/5.0071722 · Cited by 10 · see citing works
Digital Twins in the Real World
Napp, N. (2022) · IEEE International Conference on Intelligent Reality (ICIR) · doi:10.1109/icir55739.2022.00019 · Cited by 9 · see citing works
Intelligent Design and Construction Coordination of Nuclear Power Based on Digital Twin
Guo, C., Xu, X., Hu, J., Zhang, J., & Zhou, Z. (2022) · Advances in transdisciplinary engineering · doi:10.3233/atde220276 · Cited by 8 · see citing works
Aspects of FMI in Building Simulation
Schwan, T., Unger, R., & Pipiorke, J. (2017) · Linköping electronic conference proceedings · doi:10.3384/ecp1713273 · Cited by 7 · see citing works
Timing-Aware Software-in-the-Loop Simulation of Automotive Applications with FMI 3.0
Ravi, S., Beermann, L., Kotte, O., Pazzaglia, P., Vinnakota, M., Ziegenbein, D., & Hamann, A. (2023) · ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS) · doi:10.1109/models58315.2023.00022 · Cited by 6 · see citing works
A digital twin framework for construction and operation of the radioactive waste repository
Xu, H., Duo, Y., & Tang, T. (2022) · Nuclear Technology and Radiation Protection · doi:10.2298/ntrp2203181x · Cited by 6 · see citing works
Digitalisation of the quality control of concrete manufacturing and construction
Bohner, E., Vehmas, T., Laikari, A., Okkonen, M., Kiviniemi, M., Lahdenperä, P., & Ferreira, M. (2019) · Cited by 5 · see citing works
Ariyachandra, M. R. M. F., Samarakkody, A. L., & Perera, B. A. K. S. (2019) · World Construction Symposium (WCS) · doi:10.31705/wcs.2019.50 · Cited by 5 · see citing works
Implementing digital twins in existing infrastructures
Lünnemann, P., Lindow, K., & Goßlau, L. (2023) · Forschung im Ingenieurwesen · doi:10.1007/s10010-023-00639-w · Cited by 5 · see citing works
Technologies, tools, and resources - driving forces in construction sector digitalization
Parusheva, S. S., & Aleksandrova, Y. (2021) · International Conference on Intelligent Computing and Information Systems (ICICIS) · doi:10.1109/icicis52592.2021.9694177 · Cited by 5 · see citing works
Digital Twin Cities: Data Availability and Systematic Data Collection
Jacobellis, M., & Ilbeigi, M. (2022) · ASCE Construction Research Congress (CRC) · doi:10.1061/9780784483954.045 · Cited by 5 · see citing works
Analysis of key factors causing delay in green buildings: An empirical study in China
Sajjad, M. S., & Zhongjing, P. A. N. (2019) · CRC Press eBooks · doi:10.1201/9781003000716-34 · Cited by 4 · see citing works
VOSviewer goes online! (Part 2)
van Eck, N. J., & Waltman, L. (2021) · doi:10.59350/rar8d-zmp93 · Cited by 4 · see citing works
Secure Smart City Infrastructure Using Digital Twin and Blockchain
Samanta, S., Sarkar, A., & Bulo, Y. (2022) · Lecture notes in networks and systems · doi:10.1007/978-981-19-0619-0_33 · Cited by 2 · see citing works
Digital Twin-Enabled Building Demolition Waste Trading Workflow
Su, S., Jiang, Y., Yu, C., & Zhong, R. Y. (2023) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/case56687.2023.10260571 · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Bas, T. G. (2025) · Pharmaceuticals · doi:10.3390/ph18060908 · Cited by 32 · see citing works
Evaluating the Economic Impact of Digital Twinning in the AEC Industry: A Systematic Review
Karunaratne, T. L. W., Ajiero, I. R., Joseph, R., Farr, E. R. P., & Piroozfar, P. A. E. (2025) · Buildings · doi:10.3390/buildings15142583 · Cited by 27 · see citing works
Hu, W., Ou, Y., Liu, H., Ni, P., & Chang, C. (2025) · Building and Environment · doi:10.1016/j.buildenv.2025.113997 · Cited by 27 · see citing works
Advancing civil infrastructure with digital twins: a review of applications and challenges
Kaveh, H., & Alhajj, R. (2025) · Journal of Civil Engineering and Management · doi:10.3846/jcem.2025.24921 · Cited by 12 · see citing works
Virtual worlds in AECO operations: Towards a human-centric framework
Martinez, M. P., Javier, M. S., & Felipe, M. L. R. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106529 · Cited by 10 · see citing works
Baghdadi, A. (2025) · Journal of Asian Architecture and Building Engineering · doi:10.1080/13467581.2025.2517242 · Cited by 7 · see citing works
Eze, E. C., Sofolahan, O., Omoboye, O., & Ameyaw, E. E. (2025) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-10-2024-0438 · Cited by 8 · see citing works
Jahangir, M. F., Kamari, A., & Schultz, C. P. L. (2025) · Automation in Construction · doi:10.1016/j.autcon.2025.106225 · Cited by 6 · see citing works
Self-citationInvestigating determinants of digital twins for predictive maintenance
Nagrani, S., & Narwane, V. S. (2025) · Journal of Quality in Maintenance Engineering · doi:10.1108/jqme-05-2024-0047 · Cited by 5 · see citing works
Digital twin adoption in port authorities: a structured framework for use case assessment
Saragani, C., Garrido, J., & Saurí, S. (2026) · Journal of Shipping and Trade · doi:10.1186/s41072-026-00234-6 · Cited by 4 · see citing works
Benefits of adopting digital twin technology (DTT) in the Nigerian construction industry
Arowoiya, V. A., Oke, A. E., Chan, M., & Adelusi, A. O. (2025) · International Journal of Construction Management · doi:10.1080/15623599.2025.2544913 · Cited by 3 · see citing works
Technological Drivers and Barriers for Digital Twin Adoption in the Malaysian Construction Industry
Esa, M. B., Munianday, P., & Asim, J. (2024) · Journal of Advanced Research in Applied Sciences and Engineering Technology · doi:10.37934/araset.54.1.331350 · Cited by 3 · see citing works
Nicolas, D., Feltus, C., & Marques, R. (2025) · Annals of Computer Science and Information Systems · doi:10.15439/2025f8576 · Cited by 2 · see citing works
Wang, L., Zhang, Y., & Yuan, F. (2025) · Engineering Construction & Architectural Management · doi:10.1108/ecam-05-2025-0743 · Cited by 2 · see citing works
Reduce Energy Consumption through Digital Twin: A Literature Review
Arsecularatne, B. P., Rodrigo, N., & Chang, R. (2025) · CIB Conferences · doi:10.7771/3067-4883.1245 · Cited by 2 · see citing works
Nassereddine, H., Khoshkenar, A., Maier, F., Pratt, W. S., Ramadan, B., Hatoum, M. B., & Mitchell, A. (2025) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2025.039 · Cited by 1 · see citing works
Okanlawon, T. T., Oyewobi, L. O., Kabir, I., Badamasi, A. A., Dodo, M., & Jimoh, R. A. (2025) · Journal of Engineering Design and Technology · doi:10.1108/jedt-03-2025-0120 · Cited by 2 · see citing works
Digital Twin Framework for Smart City Development: Systematic Review
Miraoui, Z., Nasser, A., & Kodad, M. (2025) · International Conference on Circuit, Systems and Communication (ICCSC) · doi:10.1109/iccsc66714.2025.11135106 · Cited by 1 · see citing works
Lee, M. J. L., Ng, H., & Hsu, L. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3584142
Design Wire Engineer Leverage and Transfer (DWELT) Framework for Building-Level Digital Twins
Farghaly, K., Mêda, P., Shaw, C., O’Donnell, J., Cecconi, F. R., & Moretti, N. (2025) · Lecture notes in civil engineering · doi:10.1007/978-3-032-09040-9_1
Salleh, M. R. A., Mohd, S., Wen, T. J., Senin, M. S., & Teng, N. C. (2025) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/1577/1/012015
Inteligencia artificial y macrodatos en la gestión del talento para megaconstrucciones
Montúfar, G. (2026) · Revista Iberoamericana de Innovación Científica JA TUAIDA · doi:10.59722/riic.v3i1.1029
Materiality Matters: Data-Driven Interiors for Hospitality Design Optimization
Efstathiou, A., & Vasileiou, P. (2026) · Springer proceedings in business and economics · doi:10.1007/978-3-032-12968-0_98
Digitalisation of Maintenance in Rolling Stock Assets
Menayo, A. C., Sánchez-Herguedas, A., & Márquez, A. C. (2026) · Engineering asset management review · doi:10.1007/978-3-032-21502-4_10
From Gut Feeling to Data-Driven Decisions
Schnellmann, M., & Proper, H. A. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-28110-4_1
AI-Enabled Technology Adoption Models for Smart Construction and Facility Operations
Al-Azazi, S. A., Kamaruding, M., Alaghbari, M. A., Mutahar, A. Y., Gartoumi, K. I., & Baarimah, A. O. (2026) · ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) · doi:10.1109/icetsis68266.2026.11548812
Sahin, C., & Yıldırım, N. (2026) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-08-2025-0522
Bweupe, A. S., Mwiya, B., & Hamunzala, B. (2026) · Journal of Civil Construction and Environmental Engineering · doi:10.11648/j.jccee.20261104.14
Zohourian, M., Pamidimukkala, A., & Kermanshachi, S. (2026) · Architecture Structures and Construction · doi:10.1007/s44150-026-00211-4
Badamasi, A. A., Xie, X., & Kassem, M. (2026) · ASCE Construction Research Congress (CRC) · doi:10.1061/9780784486979.076
Assessing Construction Students’ Readiness for Technology-Driven Sustainable Construction
Shen, J., Wen, J., Adhikari, S., & Fanijo, E. O. (2026) · ASCE Construction Research Congress (CRC) · doi:10.1061/9780784486993.045
Van, B. P., Wong, P. S. P., & Abbasnejad, B. (2026) · Smart and Sustainable Built Environment · doi:10.1108/sasbe-07-2025-0426
Value frameworks as federated digital platforms for digitalised road infrastructure
Ariyachandra, M. R. M. F., Sivasothy, P., & Asmone, A. S. (2026) · Construction Management and Economics · doi:10.1080/01446193.2026.2740145
Towards Trustworthy Urban Digital Twins: A User Acceptance Model
Panagiotarou, A., Politi, C. T., Koufopavlou, O., Antonopoulos, C., Faliagka, E., Tranoris, C., & Voros, N. S. (2026) · Pan-Hellenic Conference on Progress in Computing and Informatics (PCI) · doi:10.1145/3829216.3829325
- Authors
- Jahangir, M. F., Schultz, C. P. L., & Kamari, A.
- Affiliations
- Aarhus University (DK)
- Corresponding author
- Schultz, Carl Peter Leslie
- Venue
- Journal of Information Technology in Construction
- Published
- 2024-03-28
- Volume
- 29
- Pages
- 141-178
- ISSN
- 1400-6529 (ISSN-L)
- 1874-4753
- OpenAlex
- W4393260144
- Cited by
- 34
- References
- 173
- Citations by year
- 2026: 14 · 2025: 19 · 2024: 1
- FWCI
- 6.31
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Information Technology in Construction (publishedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Building and Construction › 3D Modeling in Geospatial Applications
- Keywords
- digital twin adoption, drivers and barriers, co-simulation, predictive maintenance, data interoperability, resistance to change, digitalization of construction, AECO industry, real-time data visualization, project management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
