01719263

Component

This study aims to investigate the factors affecting the severity of urban crashes among male and female drivers. Traffic crashes occurred in Tehran, Iran during the year 2009 and were analysed in this research. The observations were divided into two groups based on driver’s gender. Two crash severity models were estimated for each group using binary logit model in which dependent variable included property damage only crashes and injury/fatal crashes. Pseudo-elasticity values were calculated to better compare male and female drivers and understand the exact effect of each variable. The results indicated that factors such as increased driver’s age, non-educated drivers, weekend,nighttime and intersections increase the crash severity in both male and female drivers. Among human factors which affect the crash severity, violating the traffic rules and speeding increased the crash severity in male drivers, while lack of driving experience and vehicle mechanical defect increased the females’ crash severity. Furthermore, crashes involving male drivers were more severe in clear and foggy weather conditions, while female drivers were observed to have more severe crashes in rainy weather. Significant differences in contributing factors to severity of crashes in male and female drivers prove that separate policies for these two groups of drivers should be adopted. The findings suggest that, educational programs could help encourage drivers to obey driving rules and improve roads safety.

19-02204

English

6p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

References

Crash severity; Drivers; Gender; Highway safety; Human factors in crashes; Logits; Traffic crashes; Urban areas

Tehran (Iran)

Highways; Safety and Human Factors

Transportation Research Board Annual Meeting 2019 Paper #19-02204

TRIS, TRB, ATRI

Oct 9 2019 3:13PM

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