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Identification of inconveniences at transport operators’ workplaces

Bęczkowska Sylwia, Grabarek Iwona, Kozłowski Maciej

Transport Problems

2023

T. 18, z. 4

87--98

This article presents the results of a pilot survey of 300 transport operators, such as drivers, train drivers, and rescue workers. The surveys were conducted online using a Google form based on the Computer-Assisted Web Interview (CAWI) method. The following research objectives were set: to identify and compare the most relevant factors affecting the health and wellbeing of transport vehicle operators and to identify the key risks associated with their work. The findings were presented using descriptive statistics and correlation and principal component analyses. Descriptive characteristics indicated which quantitative characteristics were associated with exposure and discomfort. On the other hand, the results of correlation analyses showed, among other things, that “level of rest” as a function of “fatigue” showed a decreasing relationship and that “pain in arms, legs, lower back or neck” depended on “work position,” “use of excessive force,” and “work severity.” The results of the principal component analysis confirmed that the data cluster under the form of factors and that there are factors whose information values are insignificant. A similar conclusion applies to the input data (i.e., the answers to the test questions). The analysis showed that only the answers to 15 of 50 questions exceeded the threshold of 2% of the information entered in the test. This could lead to the conclusion that if the test could be repeated in the future, the correct result might be obtained with slightly fewer test questions.

Risk and human factor in carriage of dangerous goods by road

Bęczkowska Sylwia, Choromański Włodzimierz, Grabarek Iwona

Transport Problems

2020

T. 15, z. 4, cz. 1

19--28

Authors in the article present an original method of risk assessment, taking “human errors" into account in its assumptions, filling an existing methodological gap in this field of study. This article presents a general concept of a method: estimating risk assessment and modeling human factors as the main cause of a road accident. Fuzzy logic techniques have been used to generate the value of the parameter characterizing the human factor. The authors „band” model is used in the calculation of the probability of a traffic accident in the transportation of hazardous products. Literary and original research has been conducted in the development of the model. This new approach to risk assessment takes into account in particular the effect of the human factor on the probability of an accident, as well as the diversity of the different segments making up the total route of a dangerous good. This method is useful for estimating the variability of risk, taking into account the human factor both on planned and existing routes depending on the categorization of road sections, the division into classes of dangerous goods, the effect of possible scenarios, and risks on transport safety.