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Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review
Open accessAbstract
The widespread use of artificial intelligence (AI) in civil engineering has provided civil engineers with various benefits and opportunities, including a rich data collection, sustainable assessment, and productivity. The trend of construction is diverted toward sustainability with the aid of digital technologies. In this regard, this paper presents a systematic literature review (SLR) in order to explore the influence of AI in civil engineering toward sustainable development. In addition, SLR was carried out by using academic publications from Scopus (i.e., 3478 publications). Furthermore, screening is carried out, and eventually, 105 research publications in the field of AI were selected. Keywords were searched through Boolean operation “Artificial Intelligence” OR “Machine intelligence” OR “Machine Learning” OR “Computational intelligence” OR “Computer vision” OR “Expert systems” OR “Neural networks” AND “Civil Engineering” OR “Construction Engineering” OR “Sustainable Development” OR “Sustainability”. According to the findings, it was revealed that the trend of publications received its high intention of researchers in 2020, the most important contribution of publications on AI toward sustainability by the Automation in Construction, the United States has the major influence among all the other countries, the main features of civil engineering toward sustainability are interconnectivity, functionality, unpredictability, and individuality. This research adds to the body of knowledge in civil engineering by visualizing and comprehending trends and patterns, as well as defining major research goals, journals, and countries. In addition, a theoretical framework has been proposed in light of the results for prospective researchers and scholars.
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“Over the past decade, ML techniques has obtained significant attention for addressing complex engineering challenges [52], [53].”
From Integrating AI in engineering education: A comprehensive review and student-informed module design for U.K. students (2025) · cites this paper as [53]
Citations
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
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
Tranfield, D., Denyer, D., & Smart, P. (2003) · British Journal of Management · doi:10.1111/1467-8551.00375 · Cited by 15,386
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242 · cited 1×
“Much research has been conducted on the rise of AI from the beginning of the modern era to the present [31–34].”
BackgroundDigital transformation: A multidisciplinary reflection and research agenda
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Qi Dong, J., Fabian, N., & Haenlein, M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2019.09.022 · Cited by 5,720
Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry
Azhar, S. (2011) · Leadership and Management in Engineering · doi:10.1061/(asce)lm.1943-5630.0000127 · Cited by 2,207
Systematic Reviews: Rationale for systematic reviews
Mulrow, C. D. (1994) · BMJ · doi:10.1136/bmj.309.6954.597 · Cited by 1,677
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018) · Process Safety and Environmental Protection · doi:10.1016/j.psep.2018.05.009 · Cited by 1,440
Pan, Y., & Zhang, L. (2021) · Automation in Construction · doi:10.1016/j.autcon.2020.103517 · Cited by 1,336
Vaio, A. D., Palladino, R., Hassan, R., & Escobar, O. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.08.019 · Cited by 1,320
Research works printed but not linked: 4
- Lukovac, 2018, Normalized weighted geometric bonferroni mean operator of interval rough numbers–application in interval rough dematel-copras model, Facta Univ. Ser. Mech. Eng., 16, 171
- Vyas, 2018, Artificial intelligence: The beginning of a new era in pharmacy profession, Asian J. Pharm, 12, 72
- Amico, 2016, How artificial intelligence will redefine management, Harv. Bus. Rev., 2, 1
- Bannerjee, 2018, Artificial intelligence in agriculture: A literature survey, Int. J. Sci. Res. Comput. Sci. Appl. Manag. Stud., 7, 1
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Mai, T. G., Nguyen, M., Ghobakhlou, A., Yan, W., Chhun, B., & Nguyen, H. (2024) · Automation in Construction · doi:10.1016/j.autcon.2024.105522 · Cited by 28
Rupasinghe, R. L., Perera, P., Bandara, R., Amarasekera, H., & Vlosky, R. P. (2023) · Energies · doi:10.3390/en17010054 · Cited by 28
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Byrd, A. R., & Geheran, M. P. (2026) · Journal of Computing in Civil Engineering · doi:10.1061/jccee5.cpeng-6649 · Cited by 3
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Salah, M. S., Seghier, M. E. A. B., Gautam, S., & Mohamed, O. A. (2026) · Results in Engineering · doi:10.1016/j.rineng.2026.110464 · Cited by 1
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Chouikh, A., Khechine, H., & Gagnon, M.-P. (2023) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2023.209 · Cited by 1
Duan, C. (2024) · International Journal of Engineering Science Technologies · doi:10.29121/ijoest.v8.i3.2024.603 · Cited by 1
Bong, C. K., Huey, K. W., & Krishnan, A. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24jun946 · Cited by 1
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Zhang, L. (2022) · Journal of Building Design and Environment · doi:10.37155/2811-0730-0101-1
Alqawasmeh, H. M. (2023) · International Journal of Geomate · doi:10.21660/2023.103.3532
Study of the mechanical behavior of swelling and highly compacted clays in road constructionPreprint
Ouslimane, N., Bensalah, J., Barebita, H., & Belfaquir, M. (2023) · Research Square · doi:10.21203/rs.3.rs-2887415/v1
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Wright, S. A. (2024) · ASEE Southeast Section Conference · doi:10.18260/1-2--45520
Metadata
- Authors
- Manzoor, B., Othman, I., Durdyev, S., Ismail, S., & Wahab, M.
- Affiliations
- Universiti Teknologi Petronas (MY)
- Ara Institute of Canterbury (NZ)
- University of Technology Malaysia (MY)
- Corresponding author
- Durdyev, Serdar
- Venue
- Applied System Innovation
- Publisher
- MDPI AG
- Published
- 2021-08-06
- Volume
- 4
- Issue
- 3
- Pages
- 52
- ISSN
- 2571-5577 (ISSN-L)
- OpenAlex
- W3190382256
- Cited by
- 118
- References
- 142
- Citations by year
- 2026: 24 · 2025: 30 · 2024: 27 · 2023: 17 · 2022: 13 · 2021: 7
- FWCI
- 1.48
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Applied System Innovation (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
- Physical Sciences › Engineering › Civil and Structural Engineering › Civil and Structural Engineering Research
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Keywords
- artificial intelligence in civil engineering, sustainable development, sustainable construction, construction automation, machine learning, computer vision, expert systems, artificial neural networks, research trends, digital technologies in construction
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 ›
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