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Determination the influence of road factors on the occurrence of traffic accidents with dead pedestrians on the territory of Belgrade by independent estimates
Author(s) -
Nenad M. Marković,
Dalibor Pešić,
M Kovác,
Emir Smailović
Publication year - 2021
Publication title -
put i saobraćaj/put i saobraćaj
Language(s) - English
Resource type - Journals
eISSN - 2406-1557
pISSN - 0478-9733
DOI - 10.31075/pis.67.04.08
Subject(s) - pedestrian , transport engineering , road traffic , geography , business , engineering
The world is paying more and more attention to the safety of vulnerable road users, and especially the safety of pedestrians. The reason for that is the large representation of vulnerable participants in the total number of victims in traffic accidents. Belgrade stood out as especially unsafe for pedestrians, because their endangerment is higher than the world average, but also higher than in the rest of Serbia. In order to increase the safety of pedestrians, appropriate management measures are applied, which are, as a rule, based on the recognized influencing factors of the occurrence of these accidents. For that reason, it is extremely important to define the real influencing factors in the right way. One of the best tools for recognizing the impact of road factors is the independent assessment of the impact of the road on accidents, which the road manager, according to the Law, is obliged to conduct in the event of a traffic accident with fatalities. The paper analyzes 59 traffic accidents with dead pedestrians, which occurred in the period from 15.05.2019. to 06/02/2021 years on the territory of the city of Belgrade and for which an independent assessment of the impact of the road was conducted. The results indicate that the road factor had an impact on the occurrence of more than half of the traffic accidents with dead pedestrians. Also, the results indicate the existence of a number of different influencing factors, which indicates the need for further implementation of these analyzes. The paper presents characteristic examples of the most commonly identified influencing factors.

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