Hadi Nemati; Reza Akbarigheibi
Abstract
Traffic accidents usually cause not only significant human casualties, but also significant economic losses. Therefore, the prevention of traffic accidents to maintain public safety and reduce economic losses is the concern of the countries of the world. Macro-level road safety studies provide the possibility ...
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Traffic accidents usually cause not only significant human casualties, but also significant economic losses. Therefore, the prevention of traffic accidents to maintain public safety and reduce economic losses is the concern of the countries of the world. Macro-level road safety studies provide the possibility of identifying influential factors that play an important role in creating safety policies for vehicle drivers. The development of appropriate statistical methods for the analysis of traffic accident data is a fundamental line of research in the field of traffic safety analysis. The main purpose of this study is to investigate the effective factors in the occurrence of traffic accidents in accident-prone areas within the city. Also, appropriate solutions were presented to prevent accidents caused by traffic violations, which is one of the important parameters. The studied area is from Imam Hussain Boulevard to Navab Crossroad, which was extracted based on the available information, including the number of accidents with damage, injury and death, and traffic violations in a 4-year period (2019-2022) in the Highway Police. SPSS software was used to analyze the data. Due to the small amount of data, Pearson's correlation coefficient was used to measure the relationship, and due to the acceptance of linear relationship between research variables, linear regression was used to find the relationship equation. The results showed that 82% of the causes of accidents in the mentioned area are traffic violations. And most of the main causes of accidents are, in order, failure to pay attention to the front 41%, failure to respect the right of way 28%, sudden change of direction 16%, failure to observe the horizontal distance 11% and failure to observe the longitudinal distance 4%. Also, the increase in accidents can be prevented by providing solutions such as police presence, law enforcement, installation of traffic control cameras, road network calming program, and accident hazard training.
