This paper has, for the purpose of setting sustainable cycling mobility, identified and assessed basic risk factors influencing crash severity. The study has examined risk factors for cyclist injuries and fatalities, according to the characteristics relative to cyclists, roads, vehicles and environment posing the risk of cyclist fatalities or serious injuries. The method of Binary logistic regression has been used as the study to analyze a sample of 21,235 traffic crashes involving cyclists in Serbia, over the period 2010–2021. The task was not to define the equations for risk prediction, but to determine the injury and fatality risk factors for cyclists. The results of this study show that cyclists older than 60 have a higher probability of being injured. Cyclists are more likely to be injured or killed on weekdays than on weekends, as well as in conditions of twilight. The odds of fatality and injury outside built-up areas are higher, while the odds of sustaining a serious injury are higher in built-up areas. The results of this study indicate significant overlapping with the previous research related to the analysis of factors influencing the severity of cyclist crashes. These results can be important for the policy makers and stakeholders involved, as they can help them gain clear understanding of the current road safety situation, for the purpose of creating an opportunity for developing best action plans and practical measures in the process of implementing sustainable urban mobility planning.

Road safety performance indicators (RSPI) provide essential insight into traffic safety beyond crash statistics, enabling a better understanding of risk factors and policy impacts. In this sense, it is important to determine how RSPIs are related to the outcomes of traffic crashes. This point was the aim of this research, which used data from the ten-year experience of monitoring RSPI in Serbia. Monitoring of road safety performance indicators began in 2013 at the level of 27 police administration units. The relationship between RSPI and the outcomes of traffic crashes was investigated by applying fixed-effects regressions and Mundlak correlated random-effects models for panel data. Results showed that the most significant relationships were observed in the RSPI of protective systems in vehicles (seatbelts, child restraint systems and helmets) and speeding in urban areas. On the other side, speed-related indicators in rural areas and indicators related to distraction had weaker associations with the outcomes of traffic crashes. The set of constructs obtained from observed RSPI explained around 37% of the variability in the total weighted number of traffic crash casualties, highlighting the need to include indicators from all other groups. The findings highlight the methodological and policy value of sustained RSPI monitoring and suggest improvements in indicator design, especially for vulnerable road users, distraction and emerging mobility modes. Finally, the study’s results confirm the importance of monitoring and incorporating indicators from all groups to describe the road safety situation in a local entity accurately.