**4.5 Pedestrian**

As we analyzed Model 1, we can see the following variables that were significant: age (Age) and applied situations of users (AS). In contrast to Model 2, the most significant variables were the income (Income), level of road knowledge (LRK) they believe they have, and the age at which they obtained road knowledge (ARK). The significant variables that influence the probability of the pedestrian being involved in a traffic accident are applied situations (−10.2266) and the age at which they obtained road knowledge (−1.2199) (**Table 6**).

*Probability to Be Involved in a Road Accident: Transport User Socioeconomic Approach DOI: http://dx.doi.org/10.5772/intechopen.106325*


#### **Table 6.**

*Logit model, pedestrian probability to be involved in a traffic crash.*
