Abstract

Application of emerging digital technology (DT) is an attractive subject of research and is indispensable to the current goal of intelligent construction in many countries. Relevant studies have either focused on the status of a specific DT or proposed preliminary/qualitative comparisons among DTs. This paper provides a systematic understanding of research on applying DTs to the architecture, engineering, construction, and operation (AECO) industry using a mixed-review method. Ten emerging DTs are determined, and publications related to them in 2011–2020 are collected from the Scopus database. The overall status and comparisons of research on 10 emerging DTs by region, journal, and popularity are then presented. The content of research on them is examined through in-depth literature analysis (including research scenario, project stage, and literature evolution in a discipline) and theme classification. Future research directions including technology knowledge, development, application and management, and some practical implications for the country, industry, project, and enterprise, are finally proposed. This research will be informative for academics with regard to the emerging DT’s opportunities in this discipline and provide support for work on the digitization of the AECO industry.

Practical Applications

Some practical implications are proposed from the perspectives of the country, industry, project, and enterprise. For the government, the holistic planning and scientific coordination of emerging DTs need to be highlighted, such as vigorously promoting Building Information Modelling (BIM) and artificial intelligence (AI) and utilizing them to further support the progress of blockchain and digital twin. Establishing demonstration projects to play their radiating roles and accelerate the inter-regional promotion of emerging DTs is also effective. For the industry, it is suggested to build technology alliances to jointly develop integrated platforms covering multiple emerging DTs through in-depth synergy; industry associations are advised to strengthen knowledge diffusion and accumulation for emerging DTs through sharing and training. For projects, applying emerging DTs to the entire life of projects and making them be deeply integrated with off-site, lean, and green construction are advisable. For enterprises, improving the workflow and management model adapted to the application of emerging DTs is necessary. Through adjusting organizational structure and transforming corporate culture, the competitiveness of enterprises could be continuously improved.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This research is supported by the National Natural Science Foundation of China (NSFC) (Nos. 72101044 and 72071027), the Fundamental Research Funds for the Central Universities [No. DUT20RC (3)092], the China Postdoctoral Science Foundation (2022M712047), and the Natural Science Foundation of Shandong Province (No. ZR2021QG046).

References

Abbasnejad, B., M. P. Nepal, A. Ahankoob, A. Nasirian, and R. Drogemuller. 2021. “Building Information Modelling (BIM) adoption and implementation enablers in AEC firms: A systematic literature review.” Archit. Eng. Des. Manage. 17 (5–6): 411–433. https://doi.org/10.1080/17452007.2020.1793721.
Adaloudis, M., and J. B. Roca. 2021. “Sustainability tradeoffs in the adoption of 3D concrete printing in the construction industry.” J. Cleaner Prod. 307 (Jul): 127201. https://doi.org/10.1016/j.jclepro.2021.127201.
Adami, P., P. B. Rodrigues, P. J. Woods, B. Becerik-Gerber, L. Soibelman, Y. Copur-Gencturk, and G. Lucas. 2021. “Effectiveness of VR-based training on improving construction workers’ knowledge, skills, and safety behavior in robotic teleoperation.” Adv. Eng. Inf. 50 (Oct): 101431. https://doi.org/10.1016/j.aei.2021.101431.
Ahat, B., A. C. Baktir, N. Aras, I. K. Altinel, A. Ozgovde, and C. Ersoy. 2021. “Optimal server and service deployment for multi-tier edge cloud computing.” Comput. Networks 199 (Nov): 108393. https://doi.org/10.1016/j.comnet.2021.108393.
Ai, M. Y., J. Yu, H. M. Zhang, and H. Y. Wang. 2021. “Optimal subsampling algorithms for big data regressions.” Stat. Sin. 31 (2): 749–772. https://doi.org/10.5705/ss.202018.0439.
Alavi, A. H., and A. H. Gandomi. 2017. “Big data in civil engineering.” Autom. Constr. 79: 1–2. https://doi.org/10.1016/j.autcon.2016.12.008.
Alreshidi, E., M. Mourshed, and Y. Rezgui. 2018. “Requirements for cloud-based BIM governance solutions to facilitate team collaboration in construction projects.” Requir. Eng. 23 (1): 1–31. https://doi.org/10.1007/s00766-016-0254-6.
Altaf, M. S., A. Bouferguene, H. X. Liu, M. Al-Hussein, and H. T. Yu. 2018. “Integrated production planning and control system for a panelized home prefabrication facility using simulation and RFID.” Autom. Constr. 85 (Jan): 369–383. https://doi.org/10.1016/j.autcon.2017.09.009.
Alwisy, A., S. B. Hamdan, B. Barkokebas, A. Bouferguene, and M. Al-Hussein. 2019. “A BIM-based automation of design and drafting for manufacturing of wood panels for modular residential buildings.” Int. J. Constr. Manage. 19 (3): 187–205. https://doi.org/10.1080/15623599.2017.1411458.
Amasyali, K., and N. M. El-Gohary. 2018. “A review of data-driven building energy consumption prediction studies.” Renewable Sustainable Energy Rev. 81 (Part 1): 1192–1205. https://doi.org/10.1016/j.rser.2017.04.095.
An, Y., H. J. Li, T. X. Su, and Y. T. Wang. 2021. “Determining uncertainties in AI applications in AEC sector and their corresponding mitigation strategies.” Autom. Constr. 131 (Nov): 103883. https://doi.org/10.1016/j.autcon.2021.103883.
Angst, C. M., R. Agarwal, V. Sambamurthy, and K. Kelley. 2010. “Social contagion and information technology diffusion: The adoption of electronic medical records in US hospitals.” Manage. Sci. 56 (8): 1219–1241. https://doi.org/10.1287/mnsc.1100.1183.
Arashpour, M., V. Kamat, Y. Bai, R. Wakefield, and B. Abbasi. 2018. “Optimization modeling of multi-skilled resources in prefabrication: Theorizing cost analysis of process integration in off-site construction.” Autom. Constr. 95 (Nov): 1–9. https://doi.org/10.1016/j.autcon.2018.07.027.
Ayodele, O. A., A. Chang-Richards, and V. Gonzalez. 2020. “Factors affecting workforce turnover in the construction sector: A systematic review.” J. Constr. Eng. Manage. 146 (2): 03119010. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001725.
Azhar, S. 2011. “Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry.” Leadersh. Manage. Eng. 11 (3): 241–252. https://doi.org/10.1061/(ASCE)LM.1943-5630.0000127.
Azhar, S., W. A. Carlton, D. Olsen, and I. Ahmad. 2011. “Building information modeling for sustainable design and LEED (R) rating analysis.” Autom. Constr. 20 (2): 217–224. https://doi.org/10.1016/j.autcon.2010.09.019.
Bakhtiarizadeh, E., W. M. Shahzad, M. Poshdar, M. Khalfan, and J. O. B. Rotimi. 2021. “Blockchain and Information Integration: Applications in New Zealand’s Prefabrication Supply Chain.” Buildings 11 (12): 608. https://doi.org/10.3390/buildings11120608.
Banihashemi, S., A. Tabadkani, and M. R. Hosseini. 2018. “Integration of parametric design into modular coordination: A construction waste reduction workflow.” Autom. Constr. 88 (Apr): 1–12. https://doi.org/10.1016/j.autcon.2017.12.026.
Barlish, K., and K. Sullivan. 2012. “How to measure the benefits of BIM: A case study approach.” Autom. Constr. 24 (Jul): 149–159. https://doi.org/10.1016/j.autcon.2012.02.008.
Battistella, C., A. F. De Toni, and R. Pillon. 2016. “Inter-organisational technology/knowledge transfer: A framework from critical literature review.” J. Technol. Transfer 41 (5): 1195–1234. https://doi.org/10.1007/s10961-015-9418-7.
Becerik-Gerber, B., F. Jazizadeh, N. Li, and G. Calis. 2012. “Application areas and data requirements for BIM-enabled facilities management.” J. Constr. Eng. Manage. 138 (3): 431–442. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000433.
Besklubova, S., M. J. Skibniewski, and X. Q. Zhang. 2021. “Factors affecting 3D printing technology adaptation in construction.” J. Constr. Eng. Manage. 147 (5): 04021026. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002034.
Bilal, M., L. O. Oyedele, J. Qadir, K. Munir, S. O. Ajayi, O. O. Akinade, H. A. Owolabi, H. A. Alaka, and M. Pasha. 2016. “Big Data in the construction industry: A review of present status, opportunities, and future trends.” Adv. Eng. Inf. 30 (3): 500–521. https://doi.org/10.1016/j.aei.2016.07.001.
Boje, C., A. Guerriero, S. Kubicki, and Y. Rezgui. 2020. “Towards a semantic Construction Digital Twin: Directions for future research.” Autom. Constr. 114 (Jun): 103179. https://doi.org/10.1016/j.autcon.2020.103179.
Bos, F., R. Wolfs, Z. Ahmed, and T. Salet. 2016. “Additive manufacturing of concrete in construction: Potentials and challenges of 3D concrete printing.” Virtual Phys. Prototyping 11 (3): 209–225. https://doi.org/10.1080/17452759.2016.1209867.
Bryde, D., M. Broquetas, and J. M. Volm. 2013. “The project benefits of building information modelling (BIM).” Int. J. Project Manage. 31 (7): 971–980. https://doi.org/10.1016/j.ijproman.2012.12.001.
Buchanan, C., and L. Gardner. 2019. “Metal 3D printing in construction: A review of methods, research, applications, opportunities and challenges.” Eng. Struct. 180 (Feb): 332–348. https://doi.org/10.1016/j.engstruct.2018.11.045.
Bui, D. T., T. A. Tuan, H. Klempe, B. Pradhan, and I. Revhaug. 2016. “Spatial prediction models for shallow landslide hazards: A comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree.” Landslides 13 (2): 361–378. https://doi.org/10.1007/s10346-015-0557-6.
Buswell, R. A., W. R. L. de Silva, S. Z. Jones, and J. Dirrenberger. 2018. “3D printing using concrete extrusion: A roadmap for research.” Cem. Concr. Res. 112 (Oct): 37–49. https://doi.org/10.1016/j.cemconres.2018.05.006.
Cao, D., H. Li, G. Wang, and T. Huang. 2017. “Identifying and contextualising the motivations for BIM implementation in construction projects: An empirical study in China.” Int. J. Project Manage. 35 (4): 658–669. https://doi.org/10.1016/j.ijproman.2016.02.002.
Cha, Y. J., W. Choi, G. Suh, S. Mahmoudkhani, and O. Buyukozturk. 2018. “Autonomous structural visual inspection using region-based deep learning for detecting multiple damage types.” Comput.-Aided Civ. Infrastruct. Eng. 33 (9): 731–747. https://doi.org/10.1111/mice.12334.
Cha, Y.-J., W. Choi, and O. Büyüköztürk. 2017. “Deep learning-based crack damage detection using convolutional neural networks.” Comput.-Aided Civ. Infrastruct. Eng. 32 (5): 361–378. https://doi.org/10.1111/mice.12263.
Chang, V. 2021. “An ethical framework for big data and smart cities.” Technol. Forecasting Social Change 165 (Apr): 120559. https://doi.org/10.1016/j.techfore.2020.120559.
Chen, C., and L. Tang. 2019. “BIM-based integrated management workflow design for schedule and cost planning of building fabric maintenance.” Autom. Constr. 107 (Nov): 102944. https://doi.org/10.1016/j.autcon.2019.102944.
Chen, H. M., K. C. Chang, and T. H. Lin. 2016. “A cloud-based system framework for performing online viewing, storage, and analysis on big data of massive BIMs.” Autom. Constr. 71 (Part 1): 34–48. https://doi.org/10.1016/j.autcon.2016.03.002.
Chen, I. H., S. C. Ho, and M. B. Su. 2020. “Computer vision application programming for settlement monitoring in a drainage tunnel.” Autom. Constr. 110 (Feb): 103011. https://doi.org/10.1016/j.autcon.2019.103011.
Chen, X., and W. S. Lu. 2017. “Identifying factors influencing demolition waste generation in Hong Kong.” J. Cleaner Prod. 141 (Jan): 799–811. https://doi.org/10.1016/j.jclepro.2016.09.164.
Chen, Y. H., and D. W. Han. 2018. “Water quality monitoring in smart city: A pilot project.” Autom. Constr. 89 (May): 307–316. https://doi.org/10.1016/j.autcon.2018.02.008.
Cheng, J. C. P., K. Y. Chen, and W. W. Chen. 2020. “State-of-the-art review on mixed reality applications in the AECO industry.” J. Constr. Eng. Manage. 146 (2): 03119009. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001749.
Cheng, T., M. Venugopal, J. Teizer, and P. A. Vela. 2011. “Performance evaluation of ultra wideband technology for construction resource location tracking in harsh environments.” Autom. Constr. 20 (8): 1173–1184. https://doi.org/10.1016/j.autcon.2011.05.001.
Chi, H. L., S. C. Kang, and X. Wang. 2013. “Research trends and opportunities of augmented reality applications in architecture, engineering, and construction.” Autom. Constr. 33 (Aug): 116–122. https://doi.org/10.1016/j.autcon.2012.12.017.
Choi, W., J. Kim, S. Lee, and E. Park. 2021. “Smart home and internet of things: A bibliometric study.” J. Cleaner Prod. 301 (Jun): 126908. https://doi.org/10.1016/j.jclepro.2021.126908.
Costin, A., A. Adibfar, H. J. Hu, and S. S. Chen. 2018. “Building information modeling (BIM) for transportation infrastructure: Literature review, applications, challenges, and recommendations.” Autom. Constr. 94 (Oct): 257–281. https://doi.org/10.1016/j.autcon.2018.07.001.
Dai, F., A. Olorunfemi, W. B. Peng, D. P. Cao, and X. C. Luo. 2021. “Can mixed reality enhance safety communication on construction sites? An industry perspective.” Saf. Sci. 133 (Jan): 105009. https://doi.org/10.1016/j.ssci.2020.105009.
Daim, T., K. K. Lai, H. Yalcin, F. Alsoubie, and V. Kumar. 2020. “Forecasting technological positioning through technology knowledge redundancy: Patent citation analysis of IoT, cybersecurity, and Blockchain.” Technol. Forecasting Social Change 161 (Dec): 120329. https://doi.org/10.1016/j.techfore.2020.120329.
Deb, D., and M. Fuad. 2021. “Integrating big data and cloud computing topics into the computing curricula: A modular approach.” J. Parallel Distrib. Comput. 157 (Nov): 303–315. https://doi.org/10.1016/j.jpdc.2021.07.012.
DebRoy, T., W. Zhang, J. Turner, and S. S. Babu. 2017. “Building digital twins of 3D printing machines.” Scr. Mater. 135 (Jul): 119–124. https://doi.org/10.1016/j.scriptamat.2016.12.005.
De Schutter, G., K. Lesage, V. Mechtcherine, V. N. Nerella, G. Habert, and I. Agusti-Juan. 2018. “Vision of 3D printing with concrete: Technical, economic and environmental potentials.” Cem. Concr. Res. 112 (Oct): 25–36. https://doi.org/10.1016/j.cemconres.2018.06.001.
Ding, Z. K., S. Liu, L. H. Liao, and L. Zhang. 2019. “A digital construction framework integrating building information modeling and reverse engineering technologies for renovation projects.” Autom. Constr. 102 (Jun): 45–58. https://doi.org/10.1016/j.autcon.2019.02.012.
Dong, L. X., D. Shi, and F. Q. Zhang. 2021. “3D printing and product assortment strategy.” Manage. Sci. 68 (8): 5724–5744. https://doi.org/10.1287/mnsc.2021.4178.
Du, J., Y. M. Shi, Z. B. Zou, and D. Zhao. 2018. “CoVR: Cloud-based multiuser virtual reality headset system for project communication of remote users.” J. Constr. Eng. Manage. 144 (2): 04017109. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001426.
Duarte, G., N. Brown, A. Memari, and J. P. Duarte. 2021. “Learning from historical structures under compression for concrete 3D printing construction.” J. Build. Eng. 43 (Nov): 103009. https://doi.org/10.1016/j.jobe.2021.103009.
Dwivedi, Y. K., et al. 2021. “Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy.” Int. J. Inf. Manage. 57 (Apr): 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002.
Eadie, R., M. Browne, H. Odeyinka, C. McKeown, and S. McNiff. 2013. “BIM implementation throughout the UK construction project lifecycle: An analysis.” Autom. Constr. 36 (Dec): 145–151. https://doi.org/10.1016/j.autcon.2013.09.001.
Elgendy, I. A., W. Z. Zhang, C. Y. Liu, and C. H. Hsu. 2021. “An efficient and secured framework for mobile cloud computing.” IEEE Trans. Cloud Comput. 9 (1): 79–87. https://doi.org/10.1109/TCC.2018.2847347.
Elghaish, F., M. R. Hosseini, S. Matarneh, S. Talebi, S. Wu, I. Martek, M. Poshdar, and N. Ghodrati. 2021. “Blockchain and the ‘Internet of Things’ for the construction industry: Research trends and opportunities.” Autom. Constr. 132 (Dec): 103942. https://doi.org/10.1016/j.autcon.2021.103942.
Fairburn, C. G., and V. Patel. 2017. “The impact of digital technology on psychological treatments and their dissemination.” Behav. Res. Ther. 88 (Jan): 19–25. https://doi.org/10.1016/j.brat.2016.08.012.
Fan, C., F. Xiao, Z. D. Li, and J. Y. Wang. 2018. “Unsupervised data analytics in mining big building operational data for energy efficiency enhancement: A review.” Energy Build. 159 (Jan): 296–308. https://doi.org/10.1016/j.enbuild.2017.11.008.
Fang, W. L., L. Y. Ding, P. E. D. Love, H. B. Luo, H. Li, F. Pena-Mora, B. T. Zhong, and C. Zhou. 2020. “Computer vision applications in construction safety assurance.” Autom. Constr. 110 (Feb): 103013. https://doi.org/10.1016/j.autcon.2019.103013.
Gbadamosi, A. Q., L. Oyedele, A. M. Mahamadu, H. Kusimo, M. Bilal, J. M. D. Delgado, and N. Muhammed-Yakubu. 2020. “Big data for design options repository: Towards a DFMA approach for offsite construction.” Autom. Constr. 120 (Dec): 103388. https://doi.org/10.1016/j.autcon.2020.103388.
Getuli, V., P. Capone, and A. Bruttini. 2021. “Planning, management and administration of HS contents with BIM and VR in construction: An implementation protocol.” Eng. Constr. Archit. Manag. 28 (2): 603–623. https://doi.org/10.1108/ECAM-11-2019-0647.
Getuli, V., P. Capone, A. Bruttini, and S. Isaac. 2020. “BIM-based immersive virtual reality for construction workspace planning: A safety-oriented approach.” Autom. Constr. 114 (Jun): 103160. https://doi.org/10.1016/j.autcon.2020.103160.
Ghaffarianhoseini, A., J. Tookey, A. Ghaffarianhoseini, N. Naismith, S. Azhar, O. Efimova, and K. Raahemifar. 2017. “Building information modelling (BIM) uptake: Clear benefits, understanding its implementation, risks and challenges.” Renewable Sustainable Energy Rev. 75 (Aug): 1046–1053. https://doi.org/10.1016/j.rser.2016.11.083.
Gledson, B. J., and D. Greenwood. 2017. “The adoption of 4D BIM in the UK construction industry: An innovation diffusion approach.” Eng. Constr. Archit. Manage. 24 (6): 950–967. https://doi.org/10.1108/ECAM-03-2016-0066.
Gong, J., and N. J. Navimipour. 2022. “An in-depth and systematic literature review on the blockchain-based approaches for cloud computing.” Cluster Comput. 25 (1): 383–400. https://doi.org/10.1007/s10586-021-03412-2.
Guo, H. L., H. Li, G. Chan, and M. Skitmore. 2012. “Using game technologies to improve the safety of construction plant operations.” Accid. Anal. Prev. 48 (Sep): 204–213. https://doi.org/10.1016/j.aap.2011.06.002.
Haouari, M., M. Mhiri, M. El-Masri, and K. Al-Yafi. 2022. “A novel proof of useful work for a blockchain storing transportation transactions.” Inf. Process. Manage. 59 (1): 102749. https://doi.org/10.1016/j.ipm.2021.102749.
Harikrishnan, A., A. S. Abdallah, S. K. Ayer, M. El Asmar, and P. B. Tang. 2021. “Feasibility of augmented reality technology for communication in the construction industry.” Adv. Eng. Inf. 50 (Oct): 101363. https://doi.org/10.1016/j.aei.2021.101363.
Hong, J. K., G. Q. P. Shen, Z. D. Li, B. Y. Zhang, and W. Q. Zhang. 2018. “Barriers to Promoting prefabricated construction in China: A cost–benefit analysis.” J. Cleaner Prod. 172 (Jan): 649–660. https://doi.org/10.1016/j.jclepro.2017.10.171.
Hou, L., S. Z. Wu, G. M. Zhang, Y. T. Tan, and X. Y. Wang. 2021. “Literature review of digital twins applications in construction workforce safety.” Appl. Sci. 11 (1): 339. https://doi.org/10.3390/app11010339.
Huang, M. Q., J. Ninic, and Q. B. Zhang. 2021. “BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives.” Tunnelling Underground Space Technol. 108 (Feb): 103677. https://doi.org/10.1016/j.tust.2020.103677.
Hussain, M., L. F. Wei, A. Lakhan, S. Wali, S. Ali, and A. Hussain. 2021. “Energy and performance-efficient task scheduling in heterogeneous virtualized cloud computing.” Sustainable Comput. Inf. Syst. 30 (Jun): 100517. https://doi.org/10.1016/j.suscom.2021.100517.
Ibem, E. O., and S. Laryea. 2014. “Survey of digital technologies in procurement of construction projects.” Autom. Constr. 46 (Oct): 11–21. https://doi.org/10.1016/j.autcon.2014.07.003.
Ivanov, D., A. Dolgui, and B. Sokolov. 2019. “The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics.” Int. J. Prod. Res. 57 (3): 829–846. https://doi.org/10.1080/00207543.2018.1488086.
Ivson, P., A. Moreira, F. Queiroz, W. Santos, and W. Celes. 2020. “A systematic review of visualization in building information modeling.” IEEE Trans. Vis. Comput. Graph. 26 (10): 3109–3127. https://doi.org/10.1109/TVCG.2019.2907583.
Jain, R. K., K. M. Smith, P. J. Culligan, and J. E. Taylor. 2014. “Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy.” Appl. Energy 123 (Jun): 168–178. https://doi.org/10.1016/j.apenergy.2014.02.057.
Jang, K., J. W. Kim, K. B. Ju, and Y. K. An. 2021. “Infrastructure BIM platform for lifecycle management.” Appl. Sci. 11 (21): 10310. https://doi.org/10.3390/app112110310.
Jia, M. D., A. Komeily, Y. R. Wang, and R. S. Srinivasan. 2019. “Adopting internet of things for the development of smart buildings: A review of enabling technologies and applications.” Autom. Constr. 101 (May): 111–126. https://doi.org/10.1016/j.autcon.2019.01.023.
Jiang, F., L. Ma, T. Broyd, and K. Chen. 2021. “Digital twin and its implementations in the civil engineering sector.” Autom. Constr. 130 (Oct): 103838. https://doi.org/10.1016/j.autcon.2021.103838.
Jiang, Y. 2021. “Intelligent building construction management based on BIM digital twin.” Comput. Intell. Neurosci. 2021: 4979249. https://doi.org/10.1155/2021/4979249.
Jiao, Y., Y. H. Wang, S. H. Zhang, Y. Li, B. M. Yang, and L. Yuan. 2013a. “A cloud approach to unified lifecycle data management in architecture, engineering, construction and facilities management: Integrating BIMs and SNS.” Adv. Eng. Inf. 27 (2): 173–188. https://doi.org/10.1016/j.aei.2012.11.006.
Jiao, Y., S. H. Zhang, Y. K. Li, Y. H. Wang, and B. M. Yang. 2013b. “Towards cloud Augmented Reality for construction application by BIM and SNS integration.” Autom. Constr. 33 (Aug): 37–47. https://doi.org/10.1016/j.autcon.2012.09.018.
Jin, R. Y., C. M. Hancock, L. Tang, and D. Wanatowski. 2017. “BIM investment, returns, and risks in China’s AEC industries.” J. Constr. Eng. Manage. 143 (12): 04017089. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001408.
Jo, B. W., R. M. A. Khan, and Y. S. Lee. 2018. “Hybrid Blockchain and internet-of-things network for underground structure health monitoring.” Sensors 18 (12): 4268. https://doi.org/10.3390/s18124268.
Johnson, N., M. L. Druckenmiller, F. Danielsen, and P. L. Pulsifer. 2021. “The use of digital platforms for community-based monitoring.” Bioscience 71 (5): 452–466. https://doi.org/10.1093/biosci/biaa162.
Kaewunruen, S., P. Rungskunroch, and J. Welsh. 2019. “A digital-twin evaluation of net zero energy building for existing buildings.” Sustainability 11 (1): 159. https://doi.org/10.3390/su11010159.
Kaewunruen, S., and N. F. Xu. 2018. “Digital twin for sustainability evaluation of railway station buildings.” Front. Built Environ. 4: 77. https://doi.org/10.3389/fbuil.2018.00077.
Keirstead, J., M. Jennings, and A. Sivakumar. 2012. “A review of urban energy system models: Approaches, challenges and opportunities.” Renewable Sustainable Energy Rev. 16 (6): 3847–3866. https://doi.org/10.1016/j.rser.2012.02.047.
Khajavi, S. H., N. H. Motlagh, A. Jaribion, L. C. Werner, and J. Holmstrom. 2019. “Digital twin: Vision, benefits, boundaries, and creation for buildings.” IEEE Access 7: 147406–147419. https://doi.org/10.1109/ACCESS.2019.2946515.
Klein, L., N. Li, and B. Becerik-Gerber. 2012. “Imaged-based verification of as-built documentation of operational buildings.” Autom. Constr. 21 (Jan): 161–171. https://doi.org/10.1016/j.autcon.2011.05.023.
Koch, C., K. Georgieva, V. Kasireddy, B. Akinci, and P. Fieguth. 2015. “A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure.” Adv. Eng. Inf. 29 (2): 196–210. https://doi.org/10.1016/j.aei.2015.01.008.
Kontovourkis, O., and G. Tryfonos. 2020. “Robotic 3D clay printing of prefabricated non-conventional wall components based on a parametric-integrated design.” Autom. Constr. 110 (Feb): 103005. https://doi.org/10.1016/j.autcon.2019.103005.
Kouhizadeh, M., S. Saberi, and J. Sarkis. 2021. “Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers.” Int. J. Prod. Econ. 231 (Jan): 107831. https://doi.org/10.1016/j.ijpe.2020.107831.
Kumar, S., G. Livermont, and G. McKewan. 2010. “Stage implementation of RFID in hospitals.” Technol. Health Care 18 (1): 31–46. https://doi.org/10.3233/THC-2010-0570.
Le, Q. T., A. Pedro, and C. S. Park. 2015. “A social virtual reality based construction safety education system for experiential learning.” J. Intell. Rob. Syst. 79 (3–4): 487–506. https://doi.org/10.1007/s10846-014-0112-z.
Lee, D., and S. Lee. 2021. “Digital twin for supply chain coordination in modular construction.” Appl. Sci. 11 (13): 5909. https://doi.org/10.3390/app11135909.
Lee, S., and O. Akin. 2011. “Augmented reality-based computational fieldwork support for equipment operations and maintenance.” Autom. Constr. 20 (4): 338–352. https://doi.org/10.1016/j.autcon.2010.11.004.
Li, C. Z., Z. Chen, F. Xue, X. T. R. Kong, B. Xiao, X. L. Lai, and Y. Y. Zhao. 2021a. “A blockchain- and IoT-based smart product-service system for the sustainability of prefabricated housing construction.” J. Cleaner Prod. 286 (Mar): 125391. https://doi.org/10.1016/j.jclepro.2020.125391.
Li, C. Z. D., R. Y. Zhong, F. Xue, G. Y. Xu, K. Chen, G. G. Q. Huang, and G. Q. P. Shen. 2017a. “Integrating RFID and BIM technologies for mitigating risks and improving schedule performance of prefabricated house construction.” J. Cleaner Prod. 165 (Nov): 1048–1062. https://doi.org/10.1016/j.jclepro.2017.07.156.
Li, J., D. Greenwood, and M. Kassem. 2019. “Blockchain in the built environment and construction industry: A systematic review, conceptual models and practical use cases.” Autom. Constr. 102 (Jun): 288–307. https://doi.org/10.1016/j.autcon.2019.02.005.
Li, J., H. Zhou, T. Liu, and S. W. Yang. 2015. “Application of internet of things in tunnel engineering: A review.” Electron. J. Geotech. Eng. 20 (26): 12921–12933.
Li, J. H., C. T. Wu, P. K. Chu, and M. Gelinsky. 2020a. “3D printing of hydrogels: Rational design strategies and emerging biomedical applications.” Mater. Sci. Eng., R: Rep. 140 (Apr): 100543. https://doi.org/10.1016/j.mser.2020.100543.
Li, L. 2018. “China’s manufacturing locus in 2025: With a comparison of ‘Made-in-China 2025’ and ‘Industry 4.0’.” Technol. Forecasting Social Change 135 (Oct): 66–74. https://doi.org/10.1016/j.techfore.2017.05.028.
Li, N., and B. Becerik-Gerber. 2011. “Performance-based evaluation of RFID-based indoor location sensing solutions for the built environment.” Adv. Eng. Inf. 25 (3): 535–546. https://doi.org/10.1016/j.aei.2011.02.004.
Li, N., G. Calis, and B. Becerik-Gerber. 2012. “Measuring and monitoring occupancy with an RFID based system for demand-driven HVAC operations.” Autom. Constr. 24 (Jul): 89–99. https://doi.org/10.1016/j.autcon.2012.02.013.
Li, X., W. Yi, H. L. Chi, X. Y. Wang, and A. P. C. Chan. 2018. “A critical review of virtual and augmented reality (VR/AR) applications in construction safety.” Autom. Constr. 86 (Feb): 150–162. https://doi.org/10.1016/j.autcon.2017.11.003.
Li, X. Y., Z. H. Jiang, B. Song, and L. J. Liu. 2017b. “Long-term knowledge evolution modeling for empirical engineering knowledge.” Adv. Eng. Inf. 34 (Oct): 17–35. https://doi.org/10.1016/j.aei.2017.08.001.
Li, Y., M. K. Lim, and C. Wang. 2022. “An intelligent model of green urban distribution in the blockchain environment.” Resour. Conserv. Recycl. 176 (Jan): 105925. https://doi.org/10.1016/j.resconrec.2021.105925.
Li, Y. S., J. Y. Ma, and Y. J. Zhang. 2021b. “Image retrieval from remote sensing big data: A survey.” Inf. Fusion 67 (Mar): 94–115. https://doi.org/10.1016/j.inffus.2020.10.008.
Li, Z., S. W. Zhang, Q. F. Meng, and X. Hu. 2020b. “Barriers to the development of prefabricated buildings in China: A news coverage analysis.” Eng. Constr. Archit. Manage. 28 (10): 2884–2903. https://doi.org/10.1108/ECAM-03-2020-0195.
Liao, Y. X., F. Deschamps, E. D. R. Loures, and L. F. P. Ramos. 2017. “Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal.” Int. J. Prod. Res. 55 (12): 3609–3629. https://doi.org/10.1080/00207543.2017.1308576.
Lin, A., A. Goel, D. H. Alwin, C. Yeo, J. Chung, S. Dai, C. Wang, H. Taylor, and H. Wei. 2022. “Compressive load-dominated concrete structures for customized 3D-printing fabrication.” Autom. Constr. 141 (Sep): 104467. https://doi.org/10.1016/j.autcon.2022.104467.
Liu, C. S., H. W. Chen, S. Y. Wang, Q. Liu, Y. G. Jiang, D. W. Zhang, M. Liu, and P. Zhou. 2020. “Two-dimensional materials for next-generation computing technologies.” Nat. Nanotechnol. 15 (7): 545–557. https://doi.org/10.1038/s41565-020-0724-3.
Liu, X. M., H. Y. Liu, Z. Wan, T. Chen, and K. Tian. 2015. “Application and study of internet of things used in rural water conservancy project.” J. Comput. Methods Sci. Eng. 15 (3): 477–488. https://doi.org/10.3233/JCM-150560.
London, K., Z. Pablo, and N. Gu. 2021. “Explanatory defect causation model linking digital innovation, human error and quality improvement in residential construction.” Autom. Constr. 123 (Mar): 103505. https://doi.org/10.1016/j.autcon.2020.103505.
Love, P. E. D., and J. Matthews. 2019. “The ‘how’ of benefits management for digital technology: From engineering to asset management.” Autom. Constr. 107 (Nov): 102930. https://doi.org/10.1016/j.autcon.2019.102930.
Lu, W. S., X. Chen, Y. Peng, and L. Y. Shen. 2015a. “Benchmarking construction waste management performance using big data.” Resour. Conserv. Recycl. 105 (Part A): 49–58. https://doi.org/10.1016/j.resconrec.2015.10.013.
Lu, W. S., W. M. W. Lee, F. Xue, and J. Y. Xu. 2021a. “Revisiting the effects of prefabrication on construction waste minimization: A quantitative study using bigger data.” Resour. Conserv. Recycl. 170 (Jul): 105579. https://doi.org/10.1016/j.resconrec.2021.105579.
Lu, W. S., L. Yuan, and F. Xue. 2021b. “Investigating the bulk density of construction waste: A big data-driven approach.” Resour. Conserv. Recycl. 169 (Jun): 105480. https://doi.org/10.1016/j.resconrec.2021.105480.
Lu, Y. J., Y. K. Li, M. Skibniewski, Z. L. Wu, R. S. Wang, and Y. Le. 2015b. “Information and communication technology applications in architecture, engineering, and construction organizations: A 15-year review.” J. Manage. Eng. 31 (1): A4014010. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000319.
Lu, Y. J., Z. L. Wu, R. D. Chang, and Y. K. Li. 2017. “Building information modeling (BIM) for green buildings: A critical review and future directions.” Autom. Constr. 83 (Nov): 134–148. https://doi.org/10.1016/j.autcon.2017.08.024.
Lyu, W. J., and J. Liu. 2021. “Artificial intelligence and emerging digital technologies in the energy sector.” Appl. Energy 303 (Dec): 117615. https://doi.org/10.1016/j.apenergy.2021.117615.
Mansfield, E. 1961. “Technical change and the rate of imitation.” Econometrica 29 (4): 741–766. https://doi.org/10.2307/1911817.
Mao, C., F. Y. Xie, L. Hou, P. Wu, J. Wang, and X. Y. Wang. 2016. “Cost analysis for sustainable off-site construction based on a multiple-case study in China.” Habitat Int. 57 (Oct): 215–222. https://doi.org/10.1016/j.habitatint.2016.08.002.
Marchment, T., and J. Sanjayan. 2020. “Mesh reinforcing method for 3D concrete printing.” Autom. Constr. 109 (Jan): 102992. https://doi.org/10.1016/j.autcon.2019.102992.
Martinez, P., M. Al-Hussein, and R. Ahmad. 2019. “A scientometric analysis and critical review of computer vision applications for construction.” Autom. Constr. 107 (Nov): 102947. https://doi.org/10.1016/j.autcon.2019.102947.
Mechtcherine, V., F. P. Bos, A. Perrot, W. R. L. da Silva, V. N. Nerella, S. Fataei, R. J. M. Wolfs, M. Sonebi, and N. Roussel. 2020. “Extrusion-based additive manufacturing with cement-based materials: Production steps, processes, and their underlying physics: A review.” Cem. Concr. Res. 132 (Jun): 106037. https://doi.org/10.1016/j.cemconres.2020.106037.
Meng, Q. F., Y. F. Zhang, Z. Li, W. X. Shi, J. Wang, Y. H. Sun, L. Xu, and X. Y. Wang. 2020. “A review of integrated applications of BIM and related technologies in whole building life cycle.” Eng. Constr. Archit. Manage. 27 (8): 1647–1677. https://doi.org/10.1108/ECAM-09-2019-0511.
Mitra, M., and S. Gopalakrishnan. 2016. “Guided wave based structural health monitoring: A review.” Smart Mater. Struct. 25 (5): 053001. https://doi.org/10.1088/0964-1726/25/5/053001.
Mollah, M. B., J. Zhao, D. Niyato, K. Y. Lam, X. Zhang, A. Ghias, L. H. Koh, and L. Yang. 2021. “Blockchain for future smart grid: A comprehensive survey.” IEEE Internet Things J. 8 (1): 18–43. https://doi.org/10.1109/JIOT.2020.2993601.
Mostafaei, A., A. M. Elliott, J. E. Barnes, F. Z. Li, W. D. Tan, C. L. Cramer, P. Nandwana, and M. Chmielus. 2021. “Binder jet 3D printing? Process parameters, materials, properties, modeling, and challenges.” Prog. Mater. Sci. 119 (Jun): 100707. https://doi.org/10.1016/j.pmatsci.2020.100707.
Motamedi, A., M. M. Soltani, and A. Hammad. 2013. “Localization of RFID-equipped assets during the operation phase of facilities.” Adv. Eng. Inf. 27 (4): 566–579. https://doi.org/10.1016/j.aei.2013.07.001.
Munoz-La Rivera, F., J. Mora-Serrano, I. Valero, and E. Onate. 2021. “Methodological-technological framework for construction 4.0.” Arch. Comput. Methods Eng. 28 (2): 689–711. https://doi.org/10.1007/s11831-020-09455-9.
Murguia, D., P. Demian, and R. Soetanto. 2021. “Systemic BIM adoption: A multilevel perspective.” J. Constr. Eng. Manage. 147 (4): 04021014. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002017.
Nawari, N. O., and S. Ravindran. 2019. “Blockchain and the built environment: Potentials and limitations.” J. Build. Eng. 25 (Sep): 100832. https://doi.org/10.1016/j.jobe.2019.100832.
Ness, D., J. Swift, D. C. Ranasinghe, K. Xing, and V. Soebarto. 2015. “Smart steel: New paradigms for the reuse of steel enabled by digital tracking and modeling.” J. Cleaner Prod. 98 (Jul): 292–303. https://doi.org/10.1016/j.jclepro.2014.08.055.
Nicoletti, G., C. von Rueden, and D. Andrews. 2020. “Digital technology diffusion: A matter of capabilities, incentives or both?” Eur. Econ. Rev. 128 (Sep): 103513. https://doi.org/10.1016/j.euroecorev.2020.103513.
Oke, A. E., A. F. Kineber, I. Al-Bukhari, I. Famakin, and C. Kingsley. 2021. “Exploring the benefits of cloud computing for sustainable construction in Nigeria.” J. Eng. Des. Technol. https://doi.org/10.1108/JEDT-04-2021-0189.
Omar, T., and M. L. Nehdi. 2016. “Data acquisition technologies for construction progress tracking.” Autom. Constr. 70 (Oct): 143–155. https://doi.org/10.1016/j.autcon.2016.06.016.
Pan, X. F., X. Y. Pan, M. L. Song, B. W. Ai, and Y. Ming. 2020. “Blockchain technology and enterprise operational capabilities: An empirical test.” Int. J. Inf. Manage. 52 (Jun): 101946. https://doi.org/10.1016/j.ijinfomgt.2019.05.002.
Pan, Y., and L. M. Zhang. 2021. “Roles of artificial intelligence in construction engineering and management: A critical review and future trends.” Autom. Constr. 122 (Feb): 103517. https://doi.org/10.1016/j.autcon.2020.103517.
Park, J., E. Marks, Y. K. Cho, and W. Suryanto. 2016. “Performance test of wireless technologies for personnel and equipment proximity sensing in work zones.” J. Constr. Eng. Manage. 142 (1): 04015049. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001031.
Parsanezhad, P., and J. Dimyadi. 2014. “Effective facility management and operations via a bim-based integrated information system.” CIB Facil. Manage. Conf. 21–23. https://doi.org/10.13140/2.1.2298.9764.
Perera, S., S. Nanayakkara, M. N. N. Rodrigo, S. Senaratne, and R. Weinand. 2020. “Blockchain technology: Is it hype or real in the construction industry?” J. Ind. Inf. Integr. 17 (Mar): 100125. https://doi.org/10.1016/j.jii.2020.100125.
Pradhananga, P., M. ElZomor, and G. S. Kasabdji. 2021. “Identifying the challenges to adopting robotics in the US construction industry.” J. Constr. Eng. Manage. 147 (5): 05021003. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002007.
Redmond, A., A. Hore, M. Alshawi, and R. West. 2012. “Exploring how information exchanges can be enhanced through Cloud BIM.” Autom. Constr. 24 (Jul): 175–183. https://doi.org/10.1016/j.autcon.2012.02.003.
Reinold, J., V. N. Nerella, V. Mechtcherine, and G. Meschke. 2022. “Extrusion process simulation and layer shape prediction during 3D-concrete-printing using the particle finite element method.” Autom. Constr. 136 (Apr): 104173. https://doi.org/10.1016/j.autcon.2022.104173.
Rogers, E. M. 1995. “Diffusion of innovations: Modifications of a model for telecommunications.” In Vol. 17 of Die diffusion von innovationen in der telekommunikation, 2525–3838. Berlin: Springer.
Sabeti, S., O. Shoghli, M. Baharani, and H. Tabkhi. 2021. “Toward AI-enabled augmented reality to enhance the safety of highway work zones: Feasibility, requirements, and challenges.” Adv. Eng. Inf. 50 (Oct): 101429. https://doi.org/10.1016/j.aei.2021.101429.
Sabine, H., T. Paul, and C. Ethan. 2017. Prefabrication: The changing face of engineering and construction, 2017 FMI/BIMForum prefabrication survey. Raleigh, NC: FMI.
Sacks, R., A. Perlman, and R. Barak. 2013. “Construction safety training using immersive virtual reality.” Construct. Manage. Econ. 31 (9): 1005–1017. https://doi.org/10.1080/01446193.2013.828844.
Saghiri, S., and V. Mirzabeiki. 2021. “Omni-channel integration: The matter of information and digital technology.” Int. J. Oper. Prod. Manage. https://doi.org/10.1108/IJOPM-04-2021-0262.
Sangiorgio, V., S. Martiradonna, F. Fatiguso, and I. Lombillo. 2021. “Augmented reality based-decision making (AR-DM) to support multi-criteria analysis in constructions.” Autom. Constr. 124 (Apr): 103567. https://doi.org/10.1016/j.autcon.2021.103567.
Sarfaraz, A., R. K. Chakrabortty, and D. L. Essam. 2021. “A tree structure-based improved blockchain framework for a secure online bidding system.” Comput. Secur. 102 (Mar): 102147. https://doi.org/10.1016/j.cose.2020.102147.
Schonbeck, P., M. Lofsjogard, and A. Ansell. 2020. “Quantitative review of construction 4.0 technology presence in construction project research.” Buildings 10 (10): 173. https://doi.org/10.3390/buildings10100173.
Scott, D. J., T. Broyd, and L. Ma. 2021. “Exploratory literature review of blockchain in the construction industry.” Autom. Constr. 132 (Dec): 103914. https://doi.org/10.1016/j.autcon.2021.103914.
Shen, C., and F. Pena-Mora. 2018. “Blockchain for cities: A systematic literature review.” IEEE Access 6: 76787–76819. https://doi.org/10.1109/ACCESS.2018.2880744.
Shen, W. M., G. Newsham, and B. Gunay. 2017. “Leveraging existing occupancy-related data for optimal control of commercial office buildings: A review.” Adv. Eng. Inf. 33 (Aug): 230–242. https://doi.org/10.1016/j.aei.2016.12.008.
Singh, V., N. Gu, and X. Y. Wang. 2011. “A theoretical framework of a BIM-based multi-disciplinary collaboration platform.” Autom. Constr. 20 (2): 134–144. https://doi.org/10.1016/j.autcon.2010.09.011.
Skiti, T. 2020. “Institutional entry barriers and spatial technology diffusion: Evidence from the broadband industry.” Strategic Manage. J. 41 (7): 1336–1361. https://doi.org/10.1002/smj.3146.
Sun, L., Z. Shang, Y. Xia, S. Bhowmick, and S. Nagarajaiah. 2020. “Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection.” J. Struct. Eng. 146 (5): 04020073. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002535.
Tanasiev, V., G. C. Patru, D. Rosner, G. Sava, H. Necula, and A. Badea. 2021. “Enhancing environmental and energy monitoring of residential buildings through IoT.” Autom. Constr. 126 (Jun): 103662. https://doi.org/10.1016/j.autcon.2021.103662.
Tang, M., and H. Liao. 2021. “From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey.” Omega 100 (Apr): 102141. https://doi.org/10.1016/j.omega.2019.102141.
Tang, S., D. R. Shelden, C. M. Eastman, P. Pishdad-Bozorgi, and X. H. Gao. 2019. “A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends.” Autom. Constr. 101 (May): 127–139. https://doi.org/10.1016/j.autcon.2019.01.020.
Tay, Y. W. D., B. Panda, S. C. Paul, N. A. N. Mohamed, M. J. Tan, and K. F. Leong. 2017. “3D printing trends in building and construction industry: A review.” Virtual Phys. Prototyping 12 (3): 261–276. https://doi.org/10.1080/17452759.2017.1326724.
Tetik, M., A. Peltokorpi, O. Seppanen, and J. Holmstrom. 2019. “Direct digital construction: Technology-based operations management practice for continuous improvement of construction industry performance.” Autom. Constr. 107 (Nov): 102910. https://doi.org/10.1016/j.autcon.2019.102910.
Tokognon, C. J. A., B. Gao, G. Y. Tian, and Y. Yan. 2017. “Structural health monitoring framework based on internet of things: A survey.” IEEE Internet Things J. 4 (3): 619–635. https://doi.org/10.1109/JIOT.2017.2664072.
Trappey, A. J. C., C. V. Trappey, U. H. Govindarajan, A. C. Chuang, and J. J. H. Sun. 2017. “A review of essential standards and patent landscapes for the Internet of Things: A key enabler for Industry 4.0.” Adv. Eng. Inf. 33 (Aug): 208–229. https://doi.org/10.1016/j.aei.2016.11.007.
Valero, E., A. Adan, and C. Cerrada. 2015. “Evolution of RFID applications in construction: A literature review.” Sensors 15 (7): 15988–16008. https://doi.org/10.3390/s150715988.
Varriale, V., A. Cammarano, F. Michelino, and M. Caputo. 2021. “Sustainable supply chains with blockchain, IoT and RFID: A simulation on order management.” Sustainability 13 (11): 6372. https://doi.org/10.3390/su13116372.
Vogel, K. M. 2021. “Big data, AI, platforms, and the future of the US intelligence workforce: A research agenda.” IEEE Technol. Soc. Mag. 40 (3): 84–92. https://doi.org/10.1109/MTS.2021.3104384.
Volk, R., J. Stengel, and F. Schultmann. 2014. “Building information modeling (BIM) for existing buildings—Literature review and future needs.” Autom. Constr. 38 (Mar): 109–127. https://doi.org/10.1016/j.autcon.2013.10.023.
Voordijk, J. T. 2019. “Technological mediation in construction: Postphenomenological inquiry into digital technologies.” J. Constr. Eng. Manage. 145 (12): 04019084. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001719.
Walton, N., and B. S. Nayak. 2021. “Rethinking of Marxist perspectives on big data, artificial intelligence (AI) and capitalist economic development.” Technol. Forecasting Social Change 166 (May): 120576. https://doi.org/10.1016/j.techfore.2021.120576.
Wamba, S. F., and M. M. Queiroz. 2020. “Blockchain in the operations and supply chain management: Benefits, challenges and future research opportunities.” Int. J. Inf. Manage. 52 (Jun): 102064. https://doi.org/10.1016/j.ijinfomgt.2019.102064.
Wang, M. D., C. C. Wang, S. Sepasgozar, and S. Zlatanova. 2020a. “A systematic review of digital technology adoption in off-site construction: Current status and future direction towards industry 4.0.” Buildings 10 (11): 204. https://doi.org/10.3390/buildings10110204.
Wang, P., P. Wu, J. Wang, H. L. Chi, and X. Y. Wang. 2018. “A critical review of the use of virtual reality in construction engineering education and training.” Int. J. Environ. Res. Public Health 15 (6): 1204. https://doi.org/10.3390/ijerph15061204.
Wang, W., N. Kumar, J. X. Chen, Z. G. Gong, X. J. Kong, W. Wei, and H. H. Gao. 2020b. “Realizing the potential of internet of things for smart tourism with 5G and AI.” IEEE Network 34 (6): 295–301. https://doi.org/10.1109/MNET.011.2000250.
Wang, X. Y., M. Truijens, L. Hou, Y. Wang, and Y. Zhou. 2014. “Integrating augmented reality with building information modeling: Onsite construction process controlling for liquefied natural gas industry.” Autom. Constr. 40 (Apr): 96–105. https://doi.org/10.1016/j.autcon.2013.12.003.
Wang, Z., H. Hu, J. Gong, X. Ma, and W. Xiong. 2019. “Precast supply chain management in off-site construction: A critical literature review.” J. Cleaner Prod. 232 (Sep): 1204–1217. https://doi.org/10.1016/j.jclepro.2019.05.229.
Wen, Q. J., Z. J. Ren, H. Lu, and J. F. Wu. 2021. “The progress and trend of BIM research: A bibliometrics-based visualization analysis.” Autom. Constr. 124 (Apr): 103558. https://doi.org/10.1016/j.autcon.2021.103558.
Wetzel, E. M., and W. Y. Thabet. 2015. “The use of a BIM-based framework to support safe facility management processes.” Autom. Constr. 60 (Dec): 12–24. https://doi.org/10.1016/j.autcon.2015.09.004.
Wolfs, R. J. M., F. P. Bos, and T. A. M. Salet. 2019. “Hardened properties of 3D printed concrete: The influence of process parameters on interlayer adhesion.” Cem. Concr. Res. 119 (May): 132–140. https://doi.org/10.1016/j.cemconres.2019.02.017.
Wong, J. K. W., J. Ge, and S. X. He. 2018. “Digitisation in facilities management: A literature review and future research directions.” Autom. Constr. 92 (Aug): 312–326. https://doi.org/10.1016/j.autcon.2018.04.006.
Wong, J. K. W., and J. Zhou. 2015. “Enhancing environmental sustainability over building life cycles through green BIM: A review.” Autom. Constr. 57 (Sep): 156–165. https://doi.org/10.1016/j.autcon.2015.06.003.
Wu, H. T., B. T. Zhong, H. Li, P. Love, X. Pan, and N. Zhao. 2021. “Combining computer vision with semantic reasoning for on-site safety management in construction.” J. Build. Eng. 42 (Oct): 103036. https://doi.org/10.1016/j.jobe.2021.103036.
Wu, P., J. Wang, and X. Y. Wang. 2016. “A critical review of the use of 3-D printing in the construction industry.” Autom. Constr. 68 (Aug): 21–31. https://doi.org/10.1016/j.autcon.2016.04.005.
Xiong, X., A. Adan, B. Akinci, and D. Huber. 2013. “Automatic creation of semantically rich 3D building models from laser scanner data.” Autom. Constr. 31 (3): 325–337. https://doi.org/10.1016/j.autcon.2012.10.006.
Xu, J., R. Y. Jin, P. Piroozfar, Y. B. Wang, B. G. Kang, L. Ma, D. Wanatowski, and T. Yang. 2018. “Constructing a BIM climate-based framework: Regional case study in China.” J. Constr. Eng. Manage. 144 (11): 04018105. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001568.
Xu, S. H. 2021. “Three-dimensional visualization algorithm simulation of construction management based on GIS and VR technology.” Complexity 2021: 6631999. https://doi.org/10.1155/2021/6631999.
Yan, X. Z., and H. Zhang. 2021. “Computer vision-based disruption management for prefabricated building construction schedule.” J. Comput. Civ. Eng. 35 (6): 04021027. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000990.
Yang, L., and F. Qian. 2015. “Application and consideration of digital technology in architecture design.” In Proc., Int. Conf. on Education Research and Reform (ERR 2015), 475–479. Indianapolis: Society for the Application of Intelligent Information Technology.
Yang, M. Y., M. T. Fu, and Z. H. Zhang. 2021. “The adoption of digital technologies in supply chains: Drivers, process and impact.” Technol. Forecasting Social Change 169 (Aug): 120795. https://doi.org/10.1016/j.techfore.2021.120795.
Yang, R., R. Wakefield, S. N. Lyu, S. Jayasuriya, F. L. Han, X. Yi, X. C. Yang, G. Amarasinghe, and S. P. Chen. 2020. “Public and private blockchain in construction business process and information integration.” Autom. Constr. 118 (Oct): 103276. https://doi.org/10.1016/j.autcon.2020.103276.
Yassin, A. A., F. Hamzeh, and F. E. Sakka. 2020. “Agent based modeling to optimize workflow of robotic steel and concrete 3D printers.” Autom. Constr. 110 (Feb): 103040. https://doi.org/10.1016/j.autcon.2019.103040.
Yi, W., and A. P. C. Chan. 2014. “Critical review of labor productivity research in construction journals.” J. Manage. Eng. 30 (2): 214–225. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000194.
Yin, X. F., H. X. Liu, Y. Chen, and M. Al-Hussein. 2019. “Building information modelling for off-site construction: Review and future directions.” Autom. Constr. 101 (May): 72–91. https://doi.org/10.1016/j.autcon.2019.01.010.
Yuan, H. P., and Y. Yang. 2020. “BIM adoption under government subsidy: Technology diffusion perspective.” J. Constr. Eng. Manage. 146 (1): 04019089. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001733.
Zahid, H., O. Elmansoury, and R. Yaagoubi. 2021. “Dynamic predicted mean vote: An IoT-BIM integrated approach for indoor thermal comfort optimization.” Autom. Constr. 129 (Sep): 103805. https://doi.org/10.1016/j.autcon.2021.103805.
Zhai, Y., K. Chen, J. Zhou, J. Cao, Z. Lyu, X. Jin, G. Shen, W. Lu, and G. Huang. 2019. “An Internet of Things-enabled BIM platform for modular integrated construction: A case study in Hong Kong.” Adv. Eng. Inf. 42 (Oct): 100997. https://doi.org/10.1016/j.aei.2019.100997.
Zhang, J. Y., J. C. P. Cheng, W. W. Chen, and K. Y. Chen. 2022. “Digital twins for construction sites: Concepts, LoD definition, and applications.” J. Manage. Eng. 38 (2): 04021094. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000948.
Zhang, N., C. F. Zhang, and D. P. Wu. 2021a. “Construction of a smart management system for physical health based on IoT and cloud computing with big data.” Comput. Commun. 179 (Nov): 183–194. https://doi.org/10.1016/j.comcom.2021.08.018.
Zhang, S. J., J. Teizer, J. K. Lee, C. M. Eastman, and M. Venugopal. 2013. “Building information modeling (BIM) and safety: Automatic safety checking of construction models and schedules.” Autom. Constr. 29 (Jan): 183–195. https://doi.org/10.1016/j.autcon.2012.05.006.
Zhang, Y. H., R. H. Deng, X. M. Liu, and D. Zheng. 2021b. “Outsourcing service fair payment based on blockchain and its applications in cloud computing.” IEEE Trans. Serv. Comput. 14 (4): 1152–1166. https://doi.org/10.1109/TSC.2018.2864191.
Zhang, Z. Y., Z. M. Yuan, G. D. Ni, H. Lin, and Y. J. Lu. 2020. “The quality traceability system for prefabricated buildings using blockchain: An integrated framework.” Front. Eng. Manage. 7 (4): 528–546. https://doi.org/10.1007/s42524-020-0127-z.
Zheng, Y., L. Capra, O. Wolfson, and H. Yang. 2014. “Urban computing: Concepts, methodologies, and applications.” ACM Trans. Intell. Syst. Technol. 5 (3): 38. https://doi.org/10.1145/2629592.
Zhong, B. T., H. T. Wu, L. Y. Ding, P. E. D. Love, H. Li, H. B. Luo, and L. Jiao. 2019. “Mapping computer vision research in construction: Developments, knowledge gaps and implications for research.” Autom. Constr. 107 (Nov): 102919. https://doi.org/10.1016/j.autcon.2019.102919.
Zhong, R. Y., P. Yi, X. Fan, F. Ji, W. Zou, L. Hao, S. T. Ng, W. Lu, G. Q. P. Shen, and G. Q. Huang. 2017. “Prefabricated construction enabled by the Internet-of-Things.” Autom. Constr. 76 (Apr): 59–70. https://doi.org/10.1016/j.autcon.2017.01.006.
Zhou, I. A., I. Makhdoom, N. Shariati, M. A. Raza, R. Keshavarz, J. Lipman, M. Abolhasan, and A. Jamalipour. 2021a. “Internet of things 2.0: Concepts, applications, and future directions.” IEEE Access 9: 70961–71012. https://doi.org/10.1109/ACCESS.2021.3078549.
Zhou, J. X., G. Q. Shen, S. H. Yoon, and X. Jin. 2021b. “Customization of on-site assembly services by integrating the internet of things and BIM technologies in modular integrated construction.” Autom. Constr. 126 (Jun): 103663. https://doi.org/10.1016/j.autcon.2021.103663.
Zhu, B. R., B. Nematollahi, J. L. Pan, Y. Zhang, Z. X. Zhou, and Y. M. Zhang. 2021. “3D concrete printing of permanent formwork for concrete column construction.” Cem. Concr. Compos. 121 (Aug): 104039. https://doi.org/10.1016/j.cemconcomp.2021.104039.
Zhu, J., X. Wang, P. Wang, Z. Wu, and M. J. Kim. 2019. “Integration of BIM and GIS: Geometry from IFC to shapefile using open-source technology.” Autom. Constr. 102 (Jun): 105–119. https://doi.org/10.1016/j.autcon.2019.02.014.
Zhu, J. X., P. Wu, M. C. Chen, M. J. Kim, X. Y. Wang, and T. C. Fang. 2020. “Automatically processing IFC clipping representation for BIM and GIS integration at the process level.” Appl. Sci. 10 (6): 2009. https://doi.org/10.3390/app10062009.

Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 149Issue 3March 2023

History

Published online: Jan 11, 2023
Published in print: Mar 1, 2023
Discussion open until: Jun 11, 2023

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Assistant Professor, Dept. of Construction Management, Dalian Univ. of Technology, Dalian 116024, China. ORCID: https://orcid.org/0000-0002-2654-6322. Email: [email protected]
Ph.D. Candidate, Dept. of Construction Management, Dalian Univ. of Technology, Dalian 116024, China. Email: [email protected]
Associate Professor, School of Management Engineering, Qingdao Univ. of Technology, Qingdao 266520, China; Postdoctoral Fellow, Antai College of Economics and Management, Shanghai Jiao Tong Univ., Shanghai 200030, China (corresponding author). ORCID: https://orcid.org/0000-0003-0288-0999. Email: [email protected]
Associate Professor, School of Management, Guangzhou Univ., Guangzhou 510006, China. ORCID: https://orcid.org/0000-0002-2046-8116. Email: [email protected]
Professor, Dept. of Construction Management, Dalian Univ. of Technology, Dalian 116024, China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

  • Digital Technologies for Preventing, Mitigating, and Resolving Contractual Disagreements in the AEC Industry: A Systematic Literature Review, Journal of Construction Engineering and Management, 10.1061/JCEMD4.COENG-14032, 150, 6, (2024).
  • A Bibliometric Review of BIM in Prefabricated Construction Environment, ICCREM 2023, 10.1061/9780784485217.071, (733-743), (2023).

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share