**4.1 Freight driver**

Two models were analyzed, in the first model, it can be seen that the significant variable is the income. Unlike Model 2, the most significant variable turned out to be the years with the driver's license (YDL) that the user has. It is worth mentioning that the variable that resulted most significantly in freight driver to determine the probability of being involved in a road accident is theincome (0.8345) (**Table 2**).

## **4.2 Vehicle driver**

The first two models were analyzed, showing the following variables that are significant: if the user has a driver's license (DL) and the age at which the road

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


#### **Table 2.**

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


#### **Table 3.**

*Logit models, vehicle driver probability to be involved in a traffic crash.*

knowledge was obtained (ARK). In Model 2, the most significant variables were age (Age) and income (Income). It should be noted that the variable that resulted most significantly in vehicle drivers is driver's license (2.4749) (**Table 3**).
