Identifying falling-from-height hazards in building information models: From the perspectives of time and location
Year: 2025
Type: article
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.
Source: Journal of Building Engineering
Authors: Qiankun Wang, Chuxiong Shen, Zeng Guo, Chao Tang
Institution: Wuhan University of Technology
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,940
OpenAlex ID: W4408518811