An Application of Driver Behavior Questionnaire: Case Study of Amman

Abstract

This research used the Manchester Driver Behaviour Questionnaire (DBQ) to analyze the driving behaviour of a group of a sample of drivers (N = 400) in Amman, the capital of Jordan. An Online Survey was distributed to respondents who accepted to take a part in this research. Out of 50 questions, 20 questions were selected according to the nature of the Jordanian drivers and the questionnaire consisted of two parts, general characteristics of driver and questions about driving behavior. The results of socio-demographic revealed that there were 242 males and 158 females, the largest age group was 19–34 years, and the majority of respondents reported (0–3) injuries in the last three years. The Principal Component Analysis (PCA) instrument analysis by Promax with Kaiser Normalization assessed four factors solution (lapses, (deliberately and ordinary) violation and errors). The largest number of items was observed to be correlated with errors in this current sample. Additional analysis showed the potential of certain elements (seven items) to predict injuries through a forecasting model, especially because most of these behaviors are unsafe and their actions lead to collisions. By comparing the average scores, Jordanian drivers were found to have received the lowest scores of Qatari and Emirati drivers, and a similarity was found in the traffic culture between Jordan and Qatar. The main findings of this paper showed the ability of DBQ to analyze the behavior of Jordanian drivers on the road.