RT info:eu-repo/semantics/article
T1 Analysis of occupational accidents in the construction metal products manufacturing subsector in Spain: Trends and risk factors
A1 Fuentes-Bargues, José Luis
A1 Sánchez-Lite, Alberto
A1 Geijo-Barrientos, José Manuel
A1 Romero-Barriuso, Alvaro
A1 Villena-Escribano, Blasa Maria
A1 González-Gaya, Cristina
K1 Ingeniería Industrial
K1 Accidents rate
K1 Construction
K1 Health & safety
K1 Industry
K1 Injuries
K1 Metal products
K1 Spain
K1 3310 Tecnología Industrial
AB Research on work accidents is important to determine the causes of occupational accidents to effectively prevent them in the future and improve workplace safety. This study aims to analyse the evolution of accidents in the metal products manufacturing subsector for construction (CNAE subsector 251) in Spain for the period 2009-2022 to classify accidents into different operational profiles. This will facilitate the proposal of specific preventive measures based on the severity and characteristics of each accident. Data for this study are collected from occupational accident reports via the Delt@ (Electronic declaration of injured workers) IT system. The study variables were classified into five groups: temporal, personal, business, circumstances, and consequences. Accidents at work are more common in males and in middle-aged workers (30-59 years). Companies with less than five workers, works outside the usual workplace and workers with less three months of length of the service in the company present high accident rate, both in light as fatal accidents. A semi-supervised model has been developed using the Fuzzy Cluster algorithm that can detect serious accidents with a recall rate of approximately 64% and group them into three distinct categories. This makes it possible to propose specific preventive measures for each category, of which there are 12 in total.
PB Springer Nature
SN 0268-3768
YR 2025
FD 2025
LK https://uvadoc.uva.es/handle/10324/82471
UL https://uvadoc.uva.es/handle/10324/82471
LA eng
NO The International Journal of Advanced Manufacturing Technology, noviembre 2025, vol. 139, n.º 11–12, p. 1–17
NO Producción Científica
DS UVaDOC
RD 03-feb-2026