Unraveling the evolutionary patterns of construction accidents: a risk assessment framework based on average mutual information theory
Abstract Studies of the evolutionary law of construction accidents and the formulation of effective risk assessments are crucial for ensuring construction safety and reducing accidents. However, existing research often focuses exclusively on one of the four critical perspectives: human, facilities,...
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| Format: | Article |
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Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-98229-z |
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| author | Jian Liu Hanqiang Tang Rui Feng |
| author_facet | Jian Liu Hanqiang Tang Rui Feng |
| author_sort | Jian Liu |
| collection | DOAJ |
| description | Abstract Studies of the evolutionary law of construction accidents and the formulation of effective risk assessments are crucial for ensuring construction safety and reducing accidents. However, existing research often focuses exclusively on one of the four critical perspectives: human, facilities, environment, and management, with limited systematic theoretical analysis. Current risk assessments typically emphasized the impact of risks at specific points in time, neglecting the cumulative effects of risks over extended periods. This study has explored how hazardous and harmful factors affect the evolution of accidents, then has established a risk assessment model utilizing average mutual information theory. The findings indicate that “Command violations”, “Command errors”, and “Illegal operations” are the primary direct causes, while “Inadequate occupational safety and health management structure and staffing” and “Inadequate or unimplemented occupational health management system” are key management factors. In addition, it also provides practical guidance for construction enterprises to strengthen safety management from aspects such as safety production investment and safety management system integration. These contributions are expected to significantly improve the safety level of construction projects and reduce the occurrence of accidents. |
| format | Article |
| id | doaj-art-ee92380d203341db96e35064cdfe260c |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-ee92380d203341db96e35064cdfe260c2025-08-20T02:24:29ZengNature PortfolioScientific Reports2045-23222025-04-0115112610.1038/s41598-025-98229-zUnraveling the evolutionary patterns of construction accidents: a risk assessment framework based on average mutual information theoryJian Liu0Hanqiang Tang1Rui Feng2School of Resource and Safety Engineering, University of Science and Technology BeijingSchool of Resource and Safety Engineering, University of Science and Technology BeijingResearch Institute of Macro-Safety Science, University of Science and Technology BeijingAbstract Studies of the evolutionary law of construction accidents and the formulation of effective risk assessments are crucial for ensuring construction safety and reducing accidents. However, existing research often focuses exclusively on one of the four critical perspectives: human, facilities, environment, and management, with limited systematic theoretical analysis. Current risk assessments typically emphasized the impact of risks at specific points in time, neglecting the cumulative effects of risks over extended periods. This study has explored how hazardous and harmful factors affect the evolution of accidents, then has established a risk assessment model utilizing average mutual information theory. The findings indicate that “Command violations”, “Command errors”, and “Illegal operations” are the primary direct causes, while “Inadequate occupational safety and health management structure and staffing” and “Inadequate or unimplemented occupational health management system” are key management factors. In addition, it also provides practical guidance for construction enterprises to strengthen safety management from aspects such as safety production investment and safety management system integration. These contributions are expected to significantly improve the safety level of construction projects and reduce the occurrence of accidents.https://doi.org/10.1038/s41598-025-98229-zConstruction safetyAccident evolutionHazardous and harmful factorsMutual information theoryRisk assessment |
| spellingShingle | Jian Liu Hanqiang Tang Rui Feng Unraveling the evolutionary patterns of construction accidents: a risk assessment framework based on average mutual information theory Scientific Reports Construction safety Accident evolution Hazardous and harmful factors Mutual information theory Risk assessment |
| title | Unraveling the evolutionary patterns of construction accidents: a risk assessment framework based on average mutual information theory |
| title_full | Unraveling the evolutionary patterns of construction accidents: a risk assessment framework based on average mutual information theory |
| title_fullStr | Unraveling the evolutionary patterns of construction accidents: a risk assessment framework based on average mutual information theory |
| title_full_unstemmed | Unraveling the evolutionary patterns of construction accidents: a risk assessment framework based on average mutual information theory |
| title_short | Unraveling the evolutionary patterns of construction accidents: a risk assessment framework based on average mutual information theory |
| title_sort | unraveling the evolutionary patterns of construction accidents a risk assessment framework based on average mutual information theory |
| topic | Construction safety Accident evolution Hazardous and harmful factors Mutual information theory Risk assessment |
| url | https://doi.org/10.1038/s41598-025-98229-z |
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