How artificial intelligence changed the construction industry in safety issues
In recent years, the development of machine learning in construction as well as the preparation of appropriate software aims to provide improved solutions to potential safety hazards and risks within the construction environment. However, the fatalities and injuries in construction sites still happe...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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IOP Publishing Ltd.
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/37351/ http://umpir.ump.edu.my/id/eprint/37351/1/How%20Artificial%20Intelligence%20Changed%20the%20Construction%20Industry%20in%20Safety%20Issues.pdf |
| _version_ | 1848825229060603904 |
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| author | Razi, P. Z. Sulaiman, S. K. Ali, Mohammad Idris Ramli, N. I. Saad, M. Syamsyul H. Omar, J. Doh, S. I. |
| author_facet | Razi, P. Z. Sulaiman, S. K. Ali, Mohammad Idris Ramli, N. I. Saad, M. Syamsyul H. Omar, J. Doh, S. I. |
| author_sort | Razi, P. Z. |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | In recent years, the development of machine learning in construction as well as the preparation of appropriate software aims to provide improved solutions to potential safety hazards and risks within the construction environment. However, the fatalities and injuries in construction sites still happened frequently, and the high numbers of accidents and casualties make construction work the most hazardous occupation. This study aims to analyze the prioritize of artificial intelligence (AI) important factors in construction safety using the AHP method. Construction safety practitioners were selected as the respondent. The hierarchy was established consisting of five (5) factors, which were subsequently categorized into twelve (12) sub-factors. With 25.43 percent, jobsite was determined to be the most significant AI element in construction safety, followed by technology component with 25.37% and human error with 22.76%. The subfactors that prioritize are noticed to safety officers when workers disregard safety on the construction site with 69.21%, cloud computing technique, inspecting, controlling, and training with 60.04%, and AI in construction safety can predict the possible issues with 14.29%. The findings of this study can help software developers in determining the level of priority for the use of AI in the safety aspect of construction sites. |
| first_indexed | 2025-11-15T03:25:36Z |
| format | Conference or Workshop Item |
| id | ump-37351 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:25:36Z |
| publishDate | 2023 |
| publisher | IOP Publishing Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-373512023-03-28T07:38:31Z http://umpir.ump.edu.my/id/eprint/37351/ How artificial intelligence changed the construction industry in safety issues Razi, P. Z. Sulaiman, S. K. Ali, Mohammad Idris Ramli, N. I. Saad, M. Syamsyul H. Omar, J. Doh, S. I. TA Engineering (General). Civil engineering (General) TH Building construction In recent years, the development of machine learning in construction as well as the preparation of appropriate software aims to provide improved solutions to potential safety hazards and risks within the construction environment. However, the fatalities and injuries in construction sites still happened frequently, and the high numbers of accidents and casualties make construction work the most hazardous occupation. This study aims to analyze the prioritize of artificial intelligence (AI) important factors in construction safety using the AHP method. Construction safety practitioners were selected as the respondent. The hierarchy was established consisting of five (5) factors, which were subsequently categorized into twelve (12) sub-factors. With 25.43 percent, jobsite was determined to be the most significant AI element in construction safety, followed by technology component with 25.37% and human error with 22.76%. The subfactors that prioritize are noticed to safety officers when workers disregard safety on the construction site with 69.21%, cloud computing technique, inspecting, controlling, and training with 60.04%, and AI in construction safety can predict the possible issues with 14.29%. The findings of this study can help software developers in determining the level of priority for the use of AI in the safety aspect of construction sites. IOP Publishing Ltd. 2023 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/37351/1/How%20Artificial%20Intelligence%20Changed%20the%20Construction%20Industry%20in%20Safety%20Issues.pdf Razi, P. Z. and Sulaiman, S. K. and Ali, Mohammad Idris and Ramli, N. I. and Saad, M. Syamsyul H. and Omar, J. and Doh, S. I. (2023) How artificial intelligence changed the construction industry in safety issues. In: IOP Conference Series: Earth and Environmental Science; 2022 World Sustainable Construction Conference, WSCC 2022 , 14 - 15 October 2022 , Kuala Lumpur, Malaysia. pp. 1-8., 1140 (1). ISSN 1755-1307 (Published) https://doi.org/10.1088/1755-1315/1140/1/012004 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TH Building construction Razi, P. Z. Sulaiman, S. K. Ali, Mohammad Idris Ramli, N. I. Saad, M. Syamsyul H. Omar, J. Doh, S. I. How artificial intelligence changed the construction industry in safety issues |
| title | How artificial intelligence changed the construction industry in safety issues |
| title_full | How artificial intelligence changed the construction industry in safety issues |
| title_fullStr | How artificial intelligence changed the construction industry in safety issues |
| title_full_unstemmed | How artificial intelligence changed the construction industry in safety issues |
| title_short | How artificial intelligence changed the construction industry in safety issues |
| title_sort | how artificial intelligence changed the construction industry in safety issues |
| topic | TA Engineering (General). Civil engineering (General) TH Building construction |
| url | http://umpir.ump.edu.my/id/eprint/37351/ http://umpir.ump.edu.my/id/eprint/37351/ http://umpir.ump.edu.my/id/eprint/37351/1/How%20Artificial%20Intelligence%20Changed%20the%20Construction%20Industry%20in%20Safety%20Issues.pdf |