Transactions on Transport Sciences 2024, 15(3):4-11 | DOI: 10.5507/tots.2024.011
Improving the Risk Assessment Process of Road Accidents Involving Trucks
- a. International Institute of Management Kyiv, str. Shulyavska, 10/12, block B, 04116, Kyiv, Ukraine
- b. Kyiv National University of Construction and Architecture, 31 Povitroflotskyi Ave., 03037, Kyiv, Ukraine
- c. Dnipro University of Technology, 19 Yavornytsky Ave., 49005, Dnipro, Ukraine
The safety of road freight transport is an important component of the safety management system. The safety basis of freight transport is risk assessment. However, existing models for their assessment operate with static dangerous factors that increase the probability of a dangerous event and the severity of its consequences. The transportation process is characterized by dynamic changes in dangerous factors, which requires appropriate improvement of existing approaches. For this, the relationship between the risk of a hazardous event (road accident) and the negative impact of dangerous factors was determined. This made it possible to develop a model for assessing the risk of road accidents, as a cumulative effect of risks from all dangerous external and internal factors, taking into account dangerous actions and without actions of drivers during cargo transportation. To propose a process of occupational risk management taking into account the change in the influence of dangerous factors on the probability of the occurrence of a hazardous event and the degree of severity of injuries from it, based on the matrix for determining the risk of changing dangerous factors over time. To introduce the division of all dangerous factors into static, which do not change (almost do not change) over time during the year, and dynamic ones - which are changed in a period from one hour to a year, which will allow to determine the overall level of risk from the cumulative impact of dangerous factors, considering all combinations of their manifestation.
Keywords: Occupational risk; Road accident; Dynamic model; Management decisions
Received: February 27, 2024; Revised: May 28, 2024; Accepted: June 18, 2024; Prepublished online: August 21, 2024; Published: December 1, 2024 Show citation
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