PROFESSIONAL DRIVER OCCUPATIONAL RISK ASSESSMENT: CHALLENGES AND THREATS TO THE DEVELOPMENT OF ROAD TRANSPORT

This article aims to assess the occupational risks faced by truck drivers in the context of road transport development, using the Five Steps risk assessment method, which is consistent with international standards (ISO 12100, ISO 31000, ILO). The authors conducted a study to assess 23 occupational hazards faced by truck drivers. Furthermore, the authors identified the economic consequences of road accidents (employee absenteeism, compensation, and logistical losses). The highest risk levels were estimated for road collisions, fires, electrocutions, and factors related to driver stress and fatigue. These results are confirmed by statistics published by EU-OSHA and OSHA, confirming the accuracy of the risk analysis. The risk analysis demonstrates the need to implement specific preventive measures. The goal of this article is to fill a research gap in the assessment of occupational risk among truck drivers and to propose effective preventive measures, which constitute the basis for developing new occupational safety standards in the analyzed profession. It should be emphasized that risk assessment also allows for the identification of significant implications for shaping industry policy, which can contribute to reducing the risk of road accidents and improving driver safety, which is crucial for the efficiency and sustainable development of road transport.

Authors

Publication Details

Journal
Transport Problems
Published
2025-09-30
DOI
https://doi.org/10.20858/tp.2025.20.3.07
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PROFESSIONAL DRIVER OCCUPATIONAL RISK ASSESSMENT: CHALLENGES AND THREATS TO THE DEVELOPMENT OF ROAD TRANSPORT

Dariusz Masłowski, Michał Pałęga, Tomasz Chmielewski, Mariusz Salwin
Transport Problems
Occupational Health and Safety Research
article

PROFESSIONAL DRIVER OCCUPATIONAL RISK ASSESSMENT: CHALLENGES AND THREATS TO THE DEVELOPMENT OF ROAD TRANSPORT

Dariusz Masłowski, Michał Pałęga, Tomasz Chmielewski, Mariusz Salwin
article en

Abstract

This article aims to assess the occupational risks faced by truck drivers in the context of road transport development, using the Five Steps risk assessment method, which is consistent with international standards (ISO 12100, ISO 31000, ILO). The authors conducted a study to assess 23 occupational hazards faced by truck drivers. Furthermore, the authors identified the economic consequences of road accidents (employee absenteeism, compensation, and logistical losses). The highest risk levels were estimated for road collisions, fires, electrocutions, and factors related to driver stress and fatigue. These results are confirmed by statistics published by EU-OSHA and OSHA, confirming the accuracy of the risk analysis. The risk analysis demonstrates the need to implement specific preventive measures. The goal of this article is to fill a research gap in the assessment of occupational risk among truck drivers and to propose effective preventive measures, which constitute the basis for developing new occupational safety standards in the analyzed profession. It should be emphasized that risk assessment also allows for the identification of significant implications for shaping industry policy, which can contribute to reducing the risk of road accidents and improving driver safety, which is crucial for the efficiency and sustainable development of road transport.

Transport ProblemsVol. 20(3)
Openalex Percentile: Top 59%
Occupational Health and Safety Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.