Drivers’ speed citation involvement in five Arabian Gulf Countries

Abstract EN

This study investigates the association between drivers’ characteristics and their speed citation involvement.

Besides driving experience and accident involvement, the studied characteristics include monthly income, age, level of education, marital status and gender type.

In order to model the above parameters; regression analysis was carried out to data gathered from 4774 drivers from five Arabian Gulf Cooperation Council (GCC) countries.

The data were collected using a questionnaire involving short answers on the required characteristics.

Official records were not possible to be used since they do not properly represent the actual drivers’ population, simply because of the considerable amount of tickets issued to the owners of the vehicles rather than to the violating drivers.

However, the gathered data on speed citations were possible to be compared indirectly with that officially published.

The two matched reasonably well.

The final developed model showed drivers’ age, accident involvement, and monthly income to be significantly associated with speed citation involvement.

Age showed a negative association and the other two parameters showed positive associations.

In the presence of these variables, all the remaining variables become unbalanced and are automatically removed form the model.

In the absence of age, driving experience and level of education become significant.

The former is negatively associated with speed citations and the latter positively.

The findings are believed to be important for law enforcers, driving rehabilitators, insurance decision makers, and traffic policy makers.