Investigating the Influential Personality and Demographic Variables of the Behavior of Public Transport and Freight Drivers in the Factors of Accidents (Case Study: Karaj City)

Document Type : Original Article

Authors
Ph.D., Candidate, Majoring in Transportation Planning, Faculty of Civil Engineering, Arts and Architecture, Tehran Science and Research, Tehran, Iran.
Abstract
Drivers' behavior is one of the most important causes of road accidents and accidents, which can be influenced by countless individual differences such as driving knowledge, information processing, demographic variables and personality. The current research tries to accurately understand this phenomenon among public transport drivers. The sample studied in this research is the drivers of public transportation of goods and passengers in Karaj city. The research method, survey and data collection tool is a questionnaire, the data of which was collected in the form of individual interviews with 200 truck drivers, 220 taxi drivers, 100 inner-city bus drivers, and 68 suburban bus drivers. In this research, using the mentioned questionnaire, six main factors of patient driving, calmness in driving, tendency to fatigue, danger identification, anxious driving and excitement seeking were extracted as driver behavioral factors and the effect of demographic and personality variables on these factors was investigated. Pearson and Spearman correlation tests were also used to test the hypotheses. The results of this research show that the variables of age, level of education, ownership of the vehicle are related to the behavior of the driver, and there is a significant relationship between the personality variables and the driving behavior of professional drivers, and these different aspects of personality and behavior, the differences It justifies the drivers in taking risks and the frequency of accidents.
Keywords

-Amado S., Koyuncu M, Kacaroglu G., (2004). Evaluation of Factors affecting safe driving: Demographic factors, Experience, Personality and Psycho-Technical Turk Pisikoloji Dergisi, 19[53],45-47.
-Cicchino, J. B. and McCartt, A.T., (2015). Critical older driver errors in a national sample of serious US crashes. Accident Analysis & Prevention, 80, 211-219.
-Curry, A.E., Pfeiffer, M.R., Durbin, D.R. and Elliott, M.R., (2015). Young driver crash rates by licensing age, driving experience, and license phase. Accident Analysis & Prevention, 80, 243-250.
-Downey, L. A., et al.  (2013). The effects of cannabis and alcohol on simulated driving: Influences of dose and experience. Accident Analysis & Prevention 500, (1). 886-879. 
-González-Iglesias, B., et al. (2012). Driving anger and traffic violations: Gender differences. Transportation Research Part F., Traffic Psychology and Behaviour 15(4), 404-412.
-Groot, S., et al. (2012). The effect of tire grip on learning driving skill and driving style: A driving simulator study. Transportation Research Part F., Traffic Psychology and Behaviour, 15(4). 413426.
-Hennessy, D., (2011). Chapter 12 Social, Personality, and Affective Constructs in Driving_Handbook of Traffic Psychology. E. P. Bryan. San Diego, Academic Press,149-163.
-Herrero Fernández, D., (2011). Psychometric adaptation of the Driving Anger Expression Inventory in a Spanish sample: Differences by age and gender. Transportation Research Part F., Traffic Psychology and Behaviour, 14(4), 324-329.
-Holland, C. and V. Rathod, (2013). Influence of personal mobile phone ringing and usual intention to answer on driver error. Accident Analysis & Prevention  500, 793-800.
-Landay K, Wood D, Harms P, Ferrell B, Nambisan S., (2020). Relationships between personality facets and accident involvement among truck drivers. J Res Personality, 84:103889.
-Mergia, W.Y., Eustace, D., Chimba, D. and Qumsiyeh, M., (2013). Exploring factors contributing to injury severity at freeway merging and diverging locations in Ohio. Accident Analysis & Prevention, 55, 202-210.
-Shi X, Zhang L., (2017). Effects of altruism and burnout on driving behavior of bus drivers. Accident Analysis and Prevention. 102,110e5.
doi.org/ 10.1016/j.aap.2017.02.025
-The top 10 causes of death. Geneva, World Health Organization. (2019). Available from:
https://www.who.int/news-room/fact-sheets/detail/ the-top-10-causes-of-death.
-Transport Statistics Group. Department of land transport. Transport Statistics under Law on Land Transport 2019 [cited 2020 15 January]. Available from: https://web.dlt.go.th/statistics/index.php.
-World Health Organization, (2019). Global action plan on physical activity 2018-2030: more active people for a healthier world. World Health Organization.
-World Health Organization (2018). Global Status Report on Road Safety 2018.
-Ye, F., and D. Lord (2014). Comparing three commonly used crash severity models on sample size requirements: multinomial logit, ordered probit and mixed logit models. Analytic Methods in Accident Research, 1, 72–85.