Relationship of Dangerous Behavior of Professional Drivers and Penalties on Accidents of Intercity Road Network

Document Type : Research Paper


Department of Civil Engineering, Kermanshah University of Technology


High rate of fatalities in road transportation has raised a world-wide effort to utilize appropriate strategies in order to reduce road accidents. In this regard professional drivers are of great concern due to their large size vehicles and high rate of passenger occupancy. Additionally, comparing to other users of network, planning for behavioral change among them is much more achievable due to their organizational and hence occupational dependency. This research proposes a validated questionnaire in order to measure the dangerous behavior of professional drivers of passenger cars, bus and trucks of intercity road network. Additionally, a structural equation model was developed that explored the causal relationship of dangerous behavior on accident. Further the model indicates that supervising drivers (through penalties) was able to mediate and indeed, reduce the effect of dangerous behavior on accidents previously experienced by respondents. In this study, Data collection was conducted among 603 drivers from 6th-21th September 2022, in Kermanshah, Iran. Results of this study suggests that behavioral change of drivers and adequate supervision on them reduce number of accidents on intercity road network.


  • Aarts Letty and Schagen Ingrid van (2006) “Driving speed and the risk of road crashes: A review”, Accident Analysis & Prevention, Vol. 38, Issue 2, pp. 215-224, ISSN 0001-4575,
  • Bandyopadhyaya Vijaya, Bandyopadhyaya Ranja and Santanu Barman (2022)” Understanding key behavioral factors affecting road traffic citation and crash involvement of professional bus and passenger van drivers using a modified driver behavior questionnaire: an Indian perspective”, International Journal of Occupational Safety and Ergonomics, DOI: 1080/10803548.2022.2140944



  • Desai, J., Li, H., Mathew and J.K. et al. (2021) “Correlating Hard-Braking Activity with Crash Occurrences on Interstate Construction Projects” Indiana Journal of Big Data Analysis Transportation. Vol.3, pp. 27–41




  • DGT (Direccion ´ General de Tr´ afico). (2021). “Las principales cifras de la siniestralidad vial Espana ˜ 2019” [The main figures of the road accident rate Spain 2019]. DGT.


  • Donaldson Amy E., Cook Lawrence J., Hutchings Caroline B. and Dean J. Michael (2006) “Crossing county lines: The impact of crash location and driver's residence on motor vehicle crash fatality”, Accident Analysis & Prevention, Vol. 38, No.4, pp. 723-727, ISSN 0001-4575.


  • Dotse John Enoch and Rowe Richard (2021) “Modelling Ghanaian road crash risk using the Manchester driver behaviour Questionnaire”, Safety Science, Vol. 139, 105213, ISSN 0925-7535,
  • Ge Yan, Luo Xiaohui and Qu Weina (2023) “Impact of feedback content on dangerous driving behaviours based on the triangle model of responsibility”, Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 93, 1-10, ISSN 1369-8478,


  • Hill Andrew, Horswill Mark S., Whiting John and Watson Marcus O., (2023) “Assessing speeding propensity via self-report: An on-road validation study of the Driver Behaviour Questionnaire and three speeding-specific measures”, Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 92, 73-88, ISSN 1369-8478,



  • Lawshe CH, (1975) “A quantitative approach to content validity Personnel psychology”  28:563-75.10.1111/j.1744-6570.1975.tb01393.


  • Koo TK, Li MY. (2016) “A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.” J Chiropr Med. 2016 Jun;15(2):155-63. doi: 10.1016/j.jcm.2016.02.012. Epub 2016 Mar 31. Erratum in: J Chiropr Med. 2017 Dec;16(4):346. PMID: 27330520; PMCID: PMC4913118.



  • Maldonado, A., Torres, M.A., Catena, A., C´ andido, A. and Megías-Robles, A., (2020) “From riskier to safer driving decisions: The role of feedback and the experiential automatic processing system”. Transportation Research. Part F: Traffic Psychology and Behavior. Vol. 73, pp. 307–317. https://


  • Megías-Robles Alberto, Sánchez-López María T. and Fernández-Berrocal Pablo (2022) “The relationship between self-reported ability emotional intelligence and risky driving behaviour: Consequences for accident and traffic ticket rate”, Accident Analysis & Prevention, Vol. 174, No. 106760, ISSN 0001-4575,


  • Mokarami Hamidreza, Alizadeh Seyed Shamseddin, Pordanjani Tayebe Rahimi and Varmazyar Sakineh (2019) “The relationship between organizational safety culture and unsafe behaviors, and accidents among public transport bus drivers using structural equation modeling”, Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 65, pp. 46-55, ISSN 1369-8478,


  • Bandyopadhyaya, Vijaya & Bandyopadhyaya, Ranja & Barman, Santanu. (2022). “Understanding Key Behavioral Factors Affecting Road Traffic Citation and Crash Involvement of Professional Bus and Passenger Van Drivers Using Modified Driver Behavior Questionnaire – An Indian Perspective.” International journal of occupational safety and ergonomics: JOSE. 10.1080/10803548.2022.2140944.


  • Navas, J.F., Martín-P´erez, C., Petrova, D., Verdejo-García, A., Cano, M., SagripantiMazuquín, O., Perandr´es-Gomez, ´ A., Lopez-Martín, ´ A., ´ Cordovilla-Guardia, S., Megías, A., Perales, J.C. and Vilar-Lopez, ´ R., (2019) “Sex differences in the association between impulsivity and driving under the influence of alcohol in young adults: The specific role of sensation seeking”. Accident Analysis and Prevention. Vol. 124, pp. 174–179. 10.1016/j.aap.2018.12.024.


  • Pei Y.L. (2003) “Research on countermeasures for road condition causes of traffic accidents (in Chinese)” China Journal of Highway and Transport, Vol.16, No. 4, pp. 77-82.


  • Pessoa, L., 2008. “On the relationship between emotion and cognition”. Nat. Rev. Neurosci. Vol. 9, No. 2, pp. 148–158.


  • Ren Y.L. (2010) “Present situation of road traffic safety and methods for traffic accident analysis (in Chinese)” Road Traffic and Safety, Vol. 10, No. 2, pp. 3-6.


  • Rowe Richard, Roman Gabriela D., McKenna Frank P., Barker Edward and Poulter Damian, (2015) “Measuring errors and violations on the road: A bifactor modeling approach to the Driver Behavior Questionnaire”, Accident Analysis & Prevention, Vol 74, 118-125, ISSN 0001-4575,



  • Sanchez-Mangas R.,  Garcia-Ferrrer A., De Juan A.,  and  Arroyo A.M. (2010) “The probability of death in road traffic accidents. How important is a quick medical response” Accident Analysis and Prevention, Vol. 42, No. 4, pp. 1048-1056, 1016/j.aap.2009.12.012.


  • Siskind Victor, Steinhardt Dale, Sheehan Mary, O’Connor Teresa and Hanks Heather (2011) “Risk factors for fatal crashes in rural Australia”, Accident Analysis & Prevention, Vol. 43, No. 3, 1082-1088, ISSN 0001-4575,


  • Ventsislavova, P., Crundall, D., Garcia-Fernandez, P. and Castro, C., 2021. “Assessing willingness to engage in risky driving behaviour using naturalistic driving footage: the role of age and gender”. International Journal of Environmental Research and Public Health Vol. 18, No. 19, 10227.
  • Williams AF, Kyrychenko SY and Retting RA. (2006) “Characteristics of speeders”. Journal of Safety Research. Vol. 37, No. 3, 227-32. doi:10.1016/j.jsr.2006.04.001. Epub 2006 Jul 26. PMID: 16872632.


  • WHO (2018) “Global status report on road safety” World Health Organization.


  • Yan X.P.,  Zhang H. ,  Wu C.Z. ,  Mao Z. and Lei H. (2013) “Research progress and prospect of road traffic driving behavior (in Chinese)” Journal of Transport Information and Safety, Vol. 31 (