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Safety

Safety is an international, peer-reviewed, open access journal on industrial and human health safety published bimonthly online by MDPI.

All Articles (783)

A Simulation Framework for Synthetic Data Generation and Safety Assessment at Intersections

  • Giovanni Andrea Dimauro,
  • Salvatore Cafiso and
  • Giuseppina Pappalardo
  • + 2 authors

This study proposes a modelling framework for simulating cyclist–vehicle interactions at urban intersections characterised by geometric constraints and variable visibility conditions. A Digital Model (DM) of the intersection geometry was developed in SUMO, complemented by a custom behavioural model calibrated using experimental trajectory data to capture cyclists’ and drivers’ perception–reaction and braking behaviour. These two components were combined to simulate scenarios with varying visibility conditions and perception-triggered braking responses in severe conflict situations. Results show that reduced visibility significantly reduces temporal safety margins, with over 50% of all simulated interactions yielding differential time-to-arrival (TTA2) values below 2 s. Furthermore, obstructed conditions lead to higher- and more-dispersed relative crossing speeds (DV), typically increasing by 0.5–1.0 m/s compared to unobstructed conditions. Simulation data confirmed that clear visibility promotes anticipatory and adaptive user behaviour, whereas limited sightlines reduce braking availability and increase the likelihood and severity of conflicts, with distributions conditioned by the intersection’s geometry. The ability to generate detailed synthetic datasets of cyclist–vehicle interactions, often not obtainable through field observation, demonstrates the potential of the proposed framework for safety assessment. This approach supports the evaluation of mitigation strategies, including C-ITS-based solutions, and provides a basis for developing predictive AI models to enhance the safety of vulnerable road users.

5 February 2026

Bicycle and vehicle trajectories in the study areas.

The present study examines the well-being of workers in an Italian manufacturing plant, focusing on work engagement, emotional exhaustion and work ability. These dimensions have received relatively little attention in manufacturing contexts. Utilising a person-centred approach, the objective is to identify distinct subjective well-being profiles among Italian manufacturing workers and to examine how work-related psychosocial characteristics differentiate these profiles. The research, which collected data from 340 workers (predominantly male at 62.1%) between July and September 2023, focused on work engagement, emotional exhaustion, and work ability—factors that have been previously understudied in manufacturing environments. Through cluster analysis, researchers were able to identify three worker profiles. The largest group, designated “Motivated & Healthy” (45.3%), exhibited the most favourable characteristics: strong work engagement, minimal emotional exhaustion, and adequate work ability. These workers reported experiencing reduced physical demands, greater autonomy in decision-making, and superior rewards compared to their colleagues. The second-largest group, “Motivated & Stressed” (32.5%), demonstrated a mixed profile. While maintaining average work engagement, these workers experienced high levels of emotional exhaustion and diminished work ability. The smallest group, termed “Disillusioned” (22.2%), consisted entirely of blue-collar workers and exhibited the most concerning pattern: low engagement, high exhaustion, and mediocre work ability. This group also reported the most challenging working conditions, including the highest physical and cognitive demands, least decision-making authority, and lowest rewards. The study corroborates earlier research findings by identifying significant relationships between work engagement and work ability (positive correlation) and emotional exhaustion (negative correlation). These results suggest that manufacturing facilities might benefit from tailoring their support strategies to address the specific needs of each worker profile, rather than applying one-size-fits-all solutions.

4 February 2026

Plot of means across clusters. [Note: Cluster labels should be added directly to the figure: Cluster 1 = Disillusioned; Cluster 2 = Motivated & Healthy; Cluster 3 = Motivated & Stressed].

This study investigates safety management and risk prevention on Mount Olympus, Greece, focusing on challenges having an impact on visitors and professionals operating in the area. The research is grounded in theories of safety, risk management, and sustainable tourism in mountain environments. A mixed qualitative methodology was applied, including a review of secondary literature, ten semi-structured interviews with key stakeholders, and data triangulation. Results show that, although major trails are well-marked, deficiencies persist in permanent rescue infrastructure, technological support, visitor education, and coordinated communication. Stakeholder collaboration remains fragmented, and the implementation of innovative technologies is limited. The study recommends enhancing inter-agency cooperation, adopting technological tools such as navigation and early warning systems, and promoting active community participation. Overall, the findings highlight the necessity of an integrated safety framework that combines prevention, preparedness, and education to ensure the sustainable development of Mount Olympus as a safe and high-quality outdoor tourism destination.

2 February 2026

Mount Olympus (this file is in the public domain in the United States because it was solely created by NASA. https://commons.wikimedia.org/wiki/File:Olympus_NASA.jpg (accessed on 18 January 2026)).

Work-Related Musculoskeletal Disorders in Brazil’s Meat Industry: A 2006–2024 Occupation, Age, and Gender Overview

  • Lilian Dias Pereira,
  • Irenilza de Alencar Nääs and
  • Maria do Carmo Baracho de Alencar
  • + 2 authors

This study presents a quantitative, cross-sectional analysis of work-related musculoskeletal disorders (WRMSDs) among sick leave recipients in Brazil’s meat production chain, using official surveillance data. A marked temporal shift was observed; women remained more affected by upper limb injuries, such as shoulder and wrist disorders. In 2022, male notifications surpassed female ones, marking a turning point linked to improved reporting and the inclusion of WRMSDs in Brazil’s compulsory notification list. Workers aged 20–49 were the most impacted group, with diagnoses including shoulder lesions, tenosynovitis, carpal tunnel syndrome, back pain, and occupational risk exposure. The findings highlight systemic barriers, including underreporting, inadequate protection, and weak return-to-work protocols. Implementing gender-differentiated ergonomic protocols is crucial, as it requires reducing repetitive strain for women in line-feeding/cutting roles, and mitigating environmental hazards (such as cold, vibration, and chemical exposure) for men in farming/slaughtering. These results underscore the urgent need for gender-sensitive preventive strategies and occupational health policies tailored to the meat processing industry.

2 February 2026

Work-related musculoskeletal disorder (WRMSD) notifications by gender in Brazil from 2006 to 2024.

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Volume III: Industrialisation, Sustainability, Resilience and Health & Safety
Editors: Srinath Perera, Albert P. C. Chan, Dilanthi Amaratunga, Makarand Hastak, Patrizia Lombardi, Sepani Senaratne, Xiaohua Jin, Anil Sawhney

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Safety - ISSN 2313-576X