The transport of dangerous goods by road represents a specific problem, considering that these vehicles can have great negative effects on people and the environment in the event of an accident. In the last few decades, various methods have been defined for risk management in this area. Most of these methods are based on reducing the probability and the consequences of an accident. In a large number of cases, the probability of the occurrence is in much greater focus than the consequences. To fill this gap, we created a new model for assessing the consequences on the population in the event of a fire during gasoline transportation. The model is based on the hypothesis that hazard intensity is directly proportional to the intensity of the heat generated by the fire and inversely proportional to the distance from the accident. The model was implemented through a Belgrade case study with multi-agent simulation. The results of the paper show that there is a 43% probability that there would be between 11 and 28 casualties in the observed location in the event of an accident. This confirms the initial hypothesis and shows that the model can be successfully used to assess the consequences.

Sustainable mobility implies the use of modes of transport that have less negative impact on the environment, but at the same time encourage a healthier way of life, reduce traffic accidents and facilitate access to transport for all levels of society. Educating school children about sustainable mobility is a necessary step in preparing new generations for a responsible attitude towards mobility and the environment. This work aims to analysed the effectiveness of two selected methods of educating school children about sustainable mobility. The "Traffic Snake game " aims to educate children, as well as their parents and teachers, and change their behaviours in terms of choosing sustainable ways of moving, while the main goal of the "Sugioka" game is to educate school children about sustainable mobility and the benefits of public transport. Research conducted in several Belgrade elementary schools in 2017 and 2023 showed that there is a significant potential for educational activities to change mobility patterns in favor of sustainable modes of travel.

In an era marked by rapid urban development, the efficiency of public transport (PT) systems has taken on unprecedented significance. The main model for assessing the efficiency of PT systems is the data envelopment analysis (DEA). This study leverages DEA to conduct a comprehensive evaluation of 12 PT lines in Belgrade, to optimise resource allocation. The first DEA model developed by Charnes, Cooper and Rhodes (CCR) under the assumption of a constant returns to scale production technology. By employing the input-oriented CCR DEA model, this research provides a comprehensive understanding of the efficiency landscape in Belgrade’s PT system. The primary hypothesis is that PT lines exhibiting characteristics such as reduced resource utilisation, a smaller fleet of engaged vehicles, lower vehicle frequency, decreased operating costs, and yet achieving a higher volume of transported passengers, are likely to be more efficient. The results of this analysis highlight three exceptional lines – Lines 23, 31 and 95 – all of which achieved an efficiency score of 1.000. Additionally, the study employs super-efficiency analysis, identifying Line 31 as the “most efficient”. These findings validate the initial hypothesis and have far-reaching implications for stakeholders, providing invaluable insights into potential strategies for fortifying Belgrade’s PT system.