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Demographic factors, such as age and gender, significantly influence the causes of traffic accidents, which is essential for providing effective road prevention and safety. The work aims to assess the dependency of the demographic factor of age on the causes of traffic accidents and the dependency of gender on the causes of traffic accidents in the Czech Republic from 2011 to 2023, which may be crucial for creating measures. Pearson’s and Spearman’s correlation methods, based on the results from the Shapiro-Wilk test, were used for the analysis. Pearson’s correlation method showed a strong positive correlation between inattention and accident rate in women (0.862) and a substantial positive correlation in men (0.638). Excessive speed and failure to yield were less significant in men than women. Furthermore, the impact of the age groups on the selected causes of accidents was examined. In young drivers (15-24 years), inattention was the leading cause of accidents with a very strong correlation (0.912), excessive speed had a moderate impact (0.505), and failure to yield had a significant impact (0.698). In middle-aged drivers (25-64 years), inattention was still important (0.599). However, excessive speed had a negligible impact (-0.049). In old drivers (65+ years), inattention (0.945) and excessive speed (0.989) were very strong factors, while failure to yield had a very strong impact (0.802) as well. The centralization of data is a limitation of the work.
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