Peer-reviewed articles 17,970 +


Title: ARTIFICIAL INTELLIGENCE AND BUILDING INFORMATION MODELING AS A TOOL FOR THE MANAGEMENT OF SAFETY AND SUSTAINABILITY OF GREEN CONSTRUCTION PROJECTS

ARTIFICIAL INTELLIGENCE AND BUILDING INFORMATION MODELING AS A TOOL FOR THE MANAGEMENT OF SAFETY AND SUSTAINABILITY OF GREEN CONSTRUCTION PROJECTS

PlumX Article Metrics by Elsevier
Tomas Mandicak; Marcela Spisakova
10.5593/sgem2024v/6.2/s25.18
10.5593/sgem2024v/6.2
1314-2704
978-619-7603-78-1
English
24
6.2
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Green Building Materials and Eco-Technologies
Artificial intelligence (AI) is breaking through more and more into all sectors of the economy. A groundbreaking tool that can change several industries is still at the beginning of the journey and mass implementation, with questionable results. Sustainability and safety in the construction industry have been a priority for the last decades. Pursuing sustainable and safe implementation of construction projects brings several challenges regarding innovations and implementation in practice. This research solves the safety issue by reducing accidents and improving health and sustainability in the management of construction projects. Sustainability and green buildings are close to safety and a healthy environment, which can point to some correlations of the overall sustainable approach in the industry. The research aims to analyze digital tools such as artificial intelligence and information modelling of buildings and the possibilities of use and impacts on the safety and sustainability of construction projects. The research was based on data from a construction industry survey. Data processing uses statistical testing of the research sample and relevant methods. The results point to the possibilities and impacts of using AI and BIM on the safety and sustainability of construction projects.
[1] Abioye S. O., et al., "Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges," Elsevier Ltd., 2021.
[2] Altaie M. R., Dishar M. M., "Integration of Artificial Intelligence Applications and Knowledge Management Processes for Construction Projects Management," Civil Engineering Journal (Iran), vol. 10, no. 3, pp. 738–756, 2024.
[3] Winge S., Albrechtsen E., Mostue B. A., "Causal factors and connections in construction accidents."
[4] Extance A., "How AI technology can tame the scientific literature," Nature, vol. 561, no. 7722, pp. 273–274, 2018.
[5] Zabala-Vargas S., Jaimes-Quintanilla M., Jimenez-Barrera M. H., "Big Data, Data Science, and Artificial Intelligence for Project Management in the Architecture, Engineering, and Construction Industry: A Systematic Review," Multidisciplinary Digital Publishing Institute (MDPI), 2023.
[6] Cao N., Cheung S.-O., Li K., "Perceptive Biases in Construction Mediation: Evidence and Application of Artificial Intelligence," Buildings, vol. 13, no. 10, p. 2460, 2023.
[7] Saka A. B., Oyedele L. O., Akanbi L. A., Ganiyu S. A., Chan D. W. M., Bello S. A., "Conversational artificial intelligence in the AEC industry: A review of present status, challenges and opportunities," Advanced Engineering Informatics, vol. 55, p. 101869, 2023.
[8] Owolabi J. D., Malagwi D., Oyeyipo O., Ola-Ade E. O., Tunji-Olayeni P. F., "Application of artificial intelligence in the Nigerian building and construction industry," International Journal of Advanced and Applied Sciences, vol. 9, no. 10, pp. 33–39, 2022.
[9] Winge S., Albrechtsen E., Mostue B. A., "Causal factors and connections in construction accidents," Saf Sci, vol. 112, pp. 130–141, 2019.
[10] Jallow H., Renukappa S., Suresh S., "Knowledge Management and Artificial Intelligence (AI)," Proceedings of the European Conference on Knowledge Management, ECKM, Academic Conferences and Publishing International Limited, 2020, pp. 363–369.
[11] Egwim C. N., et al., "Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle," Multidisciplinary Digital Publishing Institute (MDPI), 2024.
[12] Abioye S. O., et al., "Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges," Elsevier Ltd., 2021.
[13] Jnes S., How Construction Technology Is Changing The Industry, LinkdIn, Aviable at: https://www.linkedin.com/pulse/how-construction-technology-changing-industry-simon-jones/
This work presents partial research results of projects KEGA 009TUKE-4/2022 “An interactive tool for designing a safe construction site in an immersive virtual reality”.
conference
https://doi.org/10.5593/sgem2024v/6.2/s25.18
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Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
24th International Multidisciplinary Scientific GeoConference SGEM 2024, 27 - 30 November, 2024
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
147-154
27 - 30 November, 2024
website
10170
artificial intelligence, safety, sustainability, construction.

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