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Variations of driving behavior across Kingdom of Saudi Arabia

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Abstract

The driving behavior is the way where an operator controls a set of operations that a person conducts to ensure both public safety and adherence to traffic regulations. The aim of this study is to identify several demographic variables that are related to traffic crashes in the Kingdom of Saudi Arabia (KSA), as well as to test the validity of the driving behavior questionnaire (DBQ). Using a confusion matrix, the accuracy of the used questionnaires was compared to the field data which obtained from official reports. The findings revealed that a complicated interaction of predictors, which is most likely due to the wide range of geographical, environmental, and authoritative factors. The accuracy of the fitted questionnaires data was highly (86.2%) matched with the official data.

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References

  1. Astrom AN, Moshiro C, Hemed Y, Heuch I, Kvale G (2006) Perceived susceptibility to and perceived causes of road traffic injuries in an urban and rural area of Tanzania. Crashes Anal Prev 38(1):54–62

    Article  Google Scholar 

  2. World Health Organization (2018) Global status report on road safety 2018: supporting a decade of action: summary. World Health Organization

  3. Murray CJ, Barber RM, Foreman KJ, Ozgoren AA, Abd-Allah F, Abera SF, Abu-Rmeileh NM (2015) Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: quantifying the epidemiological transition. Lancet 386(10009):2145–2191

    Article  Google Scholar 

  4. Hasan T, Ahmed I, Al-Bar H (2014) Drivers’ perceptions of unsafe driving behaviors and their countermeasures: a study in Saudi Arabia. J Technol 70:33–42

    Google Scholar 

  5. Hashem A (2007) Cooperation council for the Arab States of the Gulf"GCC". ARMY WAR COLL CARLISLE BARRACKS PA

  6. Ali E, Elbadawy S, Shawly S (2014) Young drivers behavior and its influence on traffic accidents. J Traffic Logist Eng. 2:45–51

    Article  Google Scholar 

  7. Ramisetty-Mikler S, Almakadma A (2016) Attitudes and behaviors towards risky driving among adolescents in Saudi Arabia. Int J Pediatr Adolesc Med 3(2):55–63

    Article  Google Scholar 

  8. Hassan HM (2016) Investigation of the self-reported aberrant driving behavior of young male Saudi drivers: A survey-based study. J Transp Saf Secur 8(2):113–128

    Google Scholar 

  9. Hassan HM, Al-Faleh H (2013) Exploring the risk factors associated with the size and severity of roadway crashes in Riyadh. J Saf Res 47:67–74

    Article  Google Scholar 

  10. http://www.moh.gov.sa/en/Ministry/Statistics/Indicator/Pages/Indicator-2012-01-10-0001.aspx [Retrieved 24 Feb 2018]

  11. Issa Y (2016) Effect of driver’s personal characteristics on traffic accidents in Tabuk city in Saudi Arabia. J Transp Lit 10(3):25–29

    Article  Google Scholar 

  12. Mohamed M, Bromfield NF (2017) Attitudes, driving behavior, and crashes involvement among young male drivers in Saudi Arabia. Transp Res F Traffic Psychol Behav 47:59–71

    Article  Google Scholar 

  13. Al-Hemoud AM, Simmons RJ, Al-Asfoor MM (2010) Behavior and lifestyle characteristics of male Kuwaiti drivers. J Saf Res 41(4):307–313

    Article  Google Scholar 

  14. Hassan HM, Dimitriou L, Abdel-Aty MA, Al-Ghamdi AS (2013) Analysis of risk factors affecting size and severity of traffic crashes in riyadh, Saudi Arabia (No. 13–2333).

  15. Jiménez-Mejías E, Prieto CA, Martínez-Ruiz V, del Castillo JDDL, Lardelli- Claret P, Jimenez-Moleon JJ (2014) Gender-related differences in distances travelled, driving behaviour and traffic crashes among university students. Transp Res F Traffic Psychol Behav 27:81–89

    Article  Google Scholar 

  16. Al Reesi H, Al Maniri A, Plankermann K, Al Hinai M, Al Adawi S, Davey J, Freeman J (2013) Risky driving behavior among university students and staff in the Sultanate of Oman. Accid Anal Prev 58:1–9

    Article  Google Scholar 

  17. González-Iglesias B, Gómez-Fraguela JA, Luengo-Martín MÁ (2012) Driving anger and traffic violations: gender differences. Transp Res F Traffic Psychol Behav 15(4):404–412

    Article  Google Scholar 

  18. Bener A, Özkan T, Lajunen T (2008) The driver behavior questionnaire in Arab Gulf countries: Qatar and the United Arab Emirates. Crashes Anal Prev 40(4):1411–1417

    Article  Google Scholar 

  19. Lajunen T, Parker D, Summala H (2004) The manchester driver behavior questionnaire: cross-cultural study. Crashes Anal Prev 36:231–238

    Article  Google Scholar 

  20. Sucha M, Sramkova L, Risser R (2014) The manchester driving behaviour questionnaire: self-reports of aberrant behaviour among czech drivers. Eur Transp Res Rev 6(4):493–502

    Article  Google Scholar 

  21. Sayed I, Abdelgawad H, Said D (2022) Studying driving behavior and risk perception: a road safety perspective in Egypt. J Eng Appl Sci 69:22

    Article  Google Scholar 

  22. Shaaban K, Siam A, Badran A (2021) Analysis of traffic crashes and violations in a developing country. Transp Res Procedia 55:1689–1695

    Article  Google Scholar 

  23. Tanveer M, Kashmiri A, Naeem H, Yan H, Qi X, Rizvi S, Wang T, Lu H (2020) an assessment of age and gender characteristics of mixed traffic with autonomous and manual vehicles: a cellular automata approach. Sustainability 12(7):2922. https://doi.org/10.3390/su12072922

    Article  Google Scholar 

  24. Zolali M, Mirbaha B, Layegh M, Benhood H (2021) A behavioral model of drivers’ mean speed influenced by weather conditions, road geometry, and driver characteristics using a driving simulator study. Adv Civ Eng 2021 Article ID 5542905:18

  25. Israel GD (1992) Determining sample size. Gainesville: University of Florida cooperative extension service. Institute of Food and Agriculture Sciences, EDIS, pp 1–5

    Google Scholar 

  26. Lawton R, Parker D, Manstead AS, Stradling SG (1997) The role of effect in predicting social behaviors: the case of road traffic violations. J Appl Soc Psychol 27(14):1258–1276

    Article  Google Scholar 

  27. Parker D, Lajunen T, Stradling S (1998) Attitudinal predictors of interpersonally aggressive violations on the road. Transp Res F Traffic Psychol Behav 1(1):11–24

    Article  Google Scholar 

  28. Ozkan T, Lajunen T (2005) Multidimensional traffic locus of control scale (T-LOC): factor structure and relationship to risky driving. Personal Individ Differ 38:533–545

    Article  Google Scholar 

  29. Deffenbacher JL, Stephens AN, Sullman MJM (2016) Driving anger as a psychological construct: twenty years of research using the driving anger scale. Transp Res F Traffic Psychol Behav 42:236–247

    Article  Google Scholar 

  30. Granato D, Santos JS, Escher GB, Ferreira BL, Maggio RM (2018) Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: a critical perspective. Trends Food Sci Technol 72:83–90

    Article  Google Scholar 

  31. Kaiser HF (1960) The application of electronic computers to factor analysis. Educ Psychol Meas 20:141–151. https://doi.org/10.1177/001316446002000116

    Article  Google Scholar 

  32. Belachew M, Zeleke D (2015) Statistical analysis of road traffic car accident in Dire Dawa administrative city, Eastern Ethiopia. Sci J Appl Math Stat 3(6):250–256

    Article  Google Scholar 

  33. Cerniglia L, Cimino S, Ballarotto G, Casini E, Ferrari A, Carbone P, Cersosimo M (2015) Motor vehicle accidents and adolescents: an empirical study on their emotional and behavioral profiles, defense strategies and parental support. Transp Res F Traffic Psychol Behav 35:28–36

    Article  Google Scholar 

  34. Shan ZQ (2013) A MANOVA of historical and unhistorical factors for traffic volume forecasting. ICTIS 2013: Improv Multimodal Transp Syst-Inf, Saf, Integr 391–397

  35. Sikdar P, Rabbani A, Dhapekar NK, Bhatt DG (2017) Hypothesis testing of road traffic accident data in India. Int J Civ Eng Technol 8(6):430–435

    Google Scholar 

  36. Provost FJ, Fawcett T, Kohavi R (1998) The case against accuracy estimation for comparing induction algorithms. In: ICML, Vol 98. p 445-453

  37. Martiskainen P, Järvinen M, Skön JP, Tiirikainen J, Kolehmainen M, Mononen J (2009) Cow behaviour pattern recognition using a three-dimensional accelerometer and support vector machines. Appl Anim Behav Sci 119(1–2):32–38

    Article  Google Scholar 

  38. Pérez-Marín AM, Ayuso M, Guillen M (2019) Do young insured drivers slow down after suffering an accident? Transp Res F Traffic Psychol Behav 62:690–699

    Article  Google Scholar 

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Acknowledgements

The authors extend their appreciation to Dr. Bismark R.D.K Agbelie, The Catholic University of America, for his guidance and support.

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Correspondence to Abdelhalim Azam.

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Alhazmi, R., Sindi, W., Aburizaiza, M. et al. Variations of driving behavior across Kingdom of Saudi Arabia. Innov. Infrastruct. Solut. 7, 314 (2022). https://doi.org/10.1007/s41062-022-00916-7

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