International Journal of Injury Control and Safety Promotion This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

A hybrid clustering and random forest model to analyse vulnerable road user to motor vehicle (VRU-MV) crashes
Int J Inj Contr Saf Promot. 2023 Sep;30(3):338-351. doi: 10.1080/17457300.2023.2180804. Epub 2023 Feb 22.ABSTRACTThe main goal of this study is to investigate the unobserved heterogeneity in VRU-MV crash data and to determine the relatively important contributing factors of injury severity. For this end, a latent class analysis (LCA) coupled with random parameters logit model (LCA-RPL) is developed to segment the VRU-MV crashes into relatively homogeneous clusters and to explore the differences among clusters. The random-forest-based SHapley Additive exPlanation (RF-SHAP) approach is used to explore the relative importance...
Source: International Journal of Injury Control and Safety Promotion - August 29, 2023 Category: Accident Prevention Authors: Zhiyuan Sun Duo Wang Xin Gu Yuxuan Xing Jianyu Wang Huapu Lu Yanyan Chen Source Type: research

Injury research in the era of digital technologies
Int J Inj Contr Saf Promot. 2023 Sep;30(3):325-326. doi: 10.1080/17457300.2023.2245654.NO ABSTRACTPMID:37643463 | DOI:10.1080/17457300.2023.2245654 (Source: International Journal of Injury Control and Safety Promotion)
Source: International Journal of Injury Control and Safety Promotion - August 29, 2023 Category: Accident Prevention Authors: Geetam Tiwari Source Type: research

Relationships among causal factors influencing mine accidents using structural equation modelling
This study explores the relationship between the causal factors of accidents within Ghanaian mines using SEM. Data obtained from the analysis of incident reports using HFACS-GMI were quantified to enable its use in the SEM software, as SEM calculations cannot be done using a 0/1 description. The study also tests five hypotheses, including the basic assumption of the HFACS model. The case study results showed that organisational factors significantly influence workplace/individual conditions; upper causal categories do not only influence adjacent immediate lower causal categories, and partial correlations exist between caus...
Source: International Journal of Injury Control and Safety Promotion - August 23, 2023 Category: Accident Prevention Authors: Theophilus Joe-Asare Eric Stemn Newmont Amegbey Source Type: research