Marjana Čubranić-Dobrodolac
University of Belgrade, Faculty of Transport and Traffic Engineering
Krsto Lipovac
University of Belgrade, Faculty of Transport and Traffic Engineering
Svetlana Čičević
University of Belgrade, Faculty of Transport and Traffic Engineering
Boris Antić
University of Belgrade, Faculty of Transport and Traffic Engineering
The model proposed in this paper uses four psychological instruments for assessing driver behaviour and personality traits aiming to find a relationship between the considered constructs and the occurrence of traffic accidents. A Barratt Impulsiveness Scale (BIS-11) was used for the assessment of impulsivity, Aggressive Driving Behaviour Questionnaire (ADBQ) for assessing the aggressiveness while driving, Manchester Driver Attitude Questionnaire (DAQ) and the Questionnaire for self-assessment of driving ability. Besides these instruments, the participants filled out an extensive demographic survey. Within the statistical analysis, in addition to the descriptive indicators, correlation coefficients were calculated and four hierarchical regression analyses were performed to determine the predictive power of personality traits on the occurrence of traffic accidents. Further, to confirm the results and to obtain additional information about the relationship between the considered variables, the structural equation modelling and binary logistic regression have been implemented. A sample of this research covered 305 drivers, of which there were 100 bus drivers and 102 truck drivers, as well as 103 drivers of privately owned vehicles. The results indicate that BIS-11 and ADBQ questionnaires show the best predictive power which means that impulsivity and aggressiveness as personality traits have the greatest influence on the occurrence of traffic accidents. This research could be useful in many fields, such as the design of selection procedures for professional drivers, development of programs for the prevention of traffic accidents and violations of law, rehabilitation of drivers who have been deprived of the driving license, etc.
Bédard M, Guyatt GH, Stones MJ, Hirdes JP. The independent contribution of driver, crash, and vehicle characteristics to driver fatalities. Accident Analysis & Prevention. 2002;34(6): 717-727. Available from: https://doi.org/10.1016/S0001-4575(01)00072-0 [Accessed 24th January 2017]
Quimby AR. Comparing UK and European drivers on speed and speeding issues: some results from SARTRE 3 survey, in Behavioural research in Road Safety: Fifteenth Seminar. London: Department for Transport; 2005. p. 49-67. Available from: http://www.bv.transports.gouv.qc.ca/mono/0996518.pdf [Accessed 22nd
February 2017].
Sjöberg L, Wahlberg A. Risk perception and new age beliefs. Risk Analysis. 2002; 22(4): 751-764. Available from: https://doi.org/10.1111/0272-4332.00066 [Accessed 19th January 2017]
Elvik R. Speed and road safety: Synthesis of evidence from evaluation studies. Transportation Research Record: Journal of the Transportation Research Board. 2005;1908: 59-69. Available from: https://doi.org/10.
Guest Editor: Eleonora Papadimitriou, PhD
Editors: Marko Matulin, PhD, Dario Babić, PhD, Marko Ševrović, PhD
The mission of our journal is to provide high quality communication of research results, which is crucial for the effectiveness of scientific research, the promotion of scientific information, new ideas, and original research in the field of traffic and transportation engineering.
1848-4069
0353-5320
Proud publisher
Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal
