Vienna road crashes: a multivariate approach to understanding driver-related risks

Road safety is worldwide researched field where crashes play a causal role and injuries are counted as outcomes. Approaches and techniques are diverse, but with same goal—contribute to safer road environment for everyone included. Drivers of personal vehicles are the most protected traffic group due to protection provided by vehicle and mandatory safety belt in comparison to pedestrians as the most venerable participants. Also, this group of drivers is characterized by the high presence of very young drivers whose psychological characteristics place them in a vulnerable risky subgroup. According to the original data of the traffic police on crashes of personal car drivers in the town of Vienna, since 2010 they have had the highest number of crashes in 2012 and after slow decrease is recorded. Still high in total number of crashes involving only drivers of personal vehicles from a traffic safety point of view this still represents an extremely worrying problem that has not received proper social attention. In response to knowledge gaps, this research is essential to address leading characterizations in crashes with aim to answer what is trend in crash occurrence during 2010–2020 inside Vienna municipality, and what is predicted trend. Is there significant and distinctive difference based on gender and age with conditions under which crashes are occurring influencing different injury degree. Multiple regression undoubtedly points fields for action in statistically based findings providing the most important answer to this research: why there are so many injuries and what is leading cause of them. Answering this question contributes toward higher safety environment for all participants.