Identifying falling-from-height hazards in building information models: From the perspectives of time and location

Falling-from-Height (FFH) is the leading hazard among the 'Fatal Five' in the architectural/engineering/construction (AEC) industry, often resulting in severe consequences. Therefore, preventing these accidents is critical at the earliest stage. However, current FFH hazard identification methods suffer from a high workload, computational intensity, and lack of comprehensiveness. We propose a voxelization-based method to identify the temporal and spatial information on FFH hazards in Building Information Modeling (BIM). This method considers the falling, accessibility, and temporal conditions. We compared this method with a traditional FFH hazard identification method. The results indicate that the proposed method can rapidly identify all potential FFH hazard information, with a recall of 100 % and a precision of 81.5 %. It is 30 times faster than the offset geometry method and is not affected by the curvature of model surfaces, improving the effectiveness of FFH hazard identification. The proposed method is highly suitable for preventing FFH accidents and can be implemented during the design and construction preparation stages, increasing the effectiveness of FFH accident control. • The proposed method can quickly and efficiently identify all potential FFH hazards by considering temporal and spatial information. • The proposed method considers the elements’ protections against FFH hazards, avoiding false positives (FPs). • The proposed method has the ability to visualize the output facilitates preventing FFH hazards.

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Institutions

Publication Details

Journal
Journal of Building Engineering
Published
2025-03-17
DOI
https://doi.org/10.1016/j.jobe.2025.112377
Citations
2
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
2.01
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article

Identifying falling-from-height hazards in building information models: From the perspectives of time and location

Chuxiong Shen, Chao Tang, Zeng Guo, Qiankun Wang
2 citations
Journal of Building Engineering
BIM and Construction Integration
2.01
article

Identifying falling-from-height hazards in building information models: From the perspectives of time and location

Chuxiong Shen, Chao Tang, Zeng Guo, Qiankun Wang
article en
2 citations

Abstract

Falling-from-Height (FFH) is the leading hazard among the 'Fatal Five' in the architectural/engineering/construction (AEC) industry, often resulting in severe consequences. Therefore, preventing these accidents is critical at the earliest stage. However, current FFH hazard identification methods suffer from a high workload, computational intensity, and lack of comprehensiveness. We propose a voxelization-based method to identify the temporal and spatial information on FFH hazards in Building Information Modeling (BIM). This method considers the falling, accessibility, and temporal conditions. We compared this method with a traditional FFH hazard identification method. The results indicate that the proposed method can rapidly identify all potential FFH hazard information, with a recall of 100 % and a precision of 81.5 %. It is 30 times faster than the offset geometry method and is not affected by the curvature of model surfaces, improving the effectiveness of FFH hazard identification. The proposed method is highly suitable for preventing FFH accidents and can be implemented during the design and construction preparation stages, increasing the effectiveness of FFH accident control. • The proposed method can quickly and efficiently identify all potential FFH hazards by considering temporal and spatial information. • The proposed method considers the elements’ protections against FFH hazards, avoiding false positives (FPs). • The proposed method has the ability to visualize the output facilitates preventing FFH hazards.

Journal of Building EngineeringVol. 104
Wuhan University of Technology (CN), Sanya University (CN)
Sustainable cities and communities
Openalex Percentile: Top 16%
BIM and Construction Integration
2.01
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