RT info:eu-repo/semantics/article
T1 Key predictors of injury severity in occupational accidents involving construction-site vehicles
A1 Sánchez-Lite, A
A1 Fuentes-Bargues, J.L.
A1 Geijo-Barrientos, J.M.
A1 González-Gaya, C
A1 Sampaio, A.Z.
K1 Ingeniería Industrial
K1 Occupational accidents
K1 Material agent
K1 Construction
K1 Vehicles
K1 Accident statistics
K1 3310 Tecnología Industrial
AB Across national statistics, construction repeatedly ranks among sectors with the highest injury and fatality rates. Vehicle-related accidents constitute a modest share of minor injuries yet contribute a significant fraction of construction fatalities. This study analysed 16,781 Spanish construction vehicle-related accidents recorded from 2009 to 2022 (2.5% severe-fatal) to identify determinants of injury severity and develop predictive models. Records were retrieved from Delt@, the compulsory national electronic occupational injury reporting platform. Variables were structured into two domains (organisational, contextual) and five categories. Methods combined descriptive profiling, chi 2 association tests, mutual-information ranking and three machine-learning classifiers (Random Forest, XGBoost, multilayer perceptron). Seven predictors-hour block, worker age, job tenure, site zone, deviation pattern, injury type and body region-showed the strongest association with severity. Separate models were trained on contextual and organisational feature sets. The contextual model detected 87.1% of severe/fatal cases (balanced accuracy 88.1.%), while the organisational model detected 59.3% (balanced accuracy 62.1%). The findings emphasise the importance of scheduling (time-of-day exposure), targeted training for short-tenure and at-risk age groups (30-59 years old), and control of the site zone. These results provide practical guidance for managers, regulators, engineers and safety practitioners seeking to reduce the number of vehicle-related accidents on construction sites, particularly those with a high level of severity.
PB Elsevier
SN 2590-1230
YR 2025
FD 2025
LK https://uvadoc.uva.es/handle/10324/82506
UL https://uvadoc.uva.es/handle/10324/82506
LA spa
NO Results in Engineering, febrero 2025, vol. 28, n. 1, art. 107762
DS UVaDOC
RD 24-feb-2026