Statistical Analysis of Defects Causing Traffic Accidents in Türkiye

Abstract

Road traffic accidents can result in death, injury, financial loss and moral damage and pose a major problem. Traffic accidents, which are recognized as a social problem all over the world and whose causes include many interrelated factors, need to be addressed in a multidisciplinary manner. Safe traffic is a right for everyone. In this direction, many studies in the international literature and traffic accident data in Türkiye were examined in this study, which was prepared to understand the factors that cause traffic accidents, prevent traffic accidents and ensure safe traffic in full. In this study, according to the records of the General Directorate of Security on traffic accidents with fatalities and injuries occurring in Türkiye between 2013 and 2021, five main defects causing traffic accidents, namely “Driver”, “Passenger”, “Pedestrian”, “Road” and “Vehicle”, and a total of 69 sub-defects belonging to these main defects were analyzed. Statistical analysis of the relationship between these defects was performed with One Way Anova and Kruskal Wallis methods. The study also presents recommendations on strategies to improve traffic safety at local and global level for traffic accidents, which is an important health and social policy issue that concerns the whole world today.

Keywords

• Traffic safety
• Traffic accidents
• Traffic defects
• Transportation improvement

References

1. [1] Hyder, A.A., “Measurement is not enough for global road safety: Implementation is key”, The Lancet Public Health, 4(1):e12-e13, (2019).
2. [2] Kaplanhan, F., “Türkiye’de trafik kazalarının ekonomik maliyeti üzerine bir inceleme”, Uluslararası Medeniyet Çalışmaları Dergisi, (2021).
3. [3] Hoque, S., Hasan, R., “Involvement of vehicle factors in road accidents”, Journal of Civil Engineering (IEB), 35(1):17-27, (2007).
4. [4] Van Schoor, O., Van Niekerk, J. L., Grobbelaar, B., “Mechanical failures as a contributing cause to motor vehicle accidents—South Africa”, Accident Analysis & Prevention, 33(6):713-721, (2001). DOI: https://doi.org/10.1016/S0001-4575(00)00083-X
5. [5] Soemitro, R. A. A., Bahat, Y., “Accident analysis assessment to the accident influence factors on traffic safety improvement”, in Proceedings of the Eastern Asia Society for Transportation Studies, (2005). DOI:
6. [6] TUIK, “Road Traffic Accident Statistics”, (2022). https://www.tuik.gov.tr/
7. [7] Zhang, Y., Jing, L., Sun, C., Fang, J., Feng, Y., “Human factors related to major road traffic accidents in China”, Traffic Injury Prevention, 20(8):796-800, (2019). DOI: https://doi.org/10.1080/15389588.2019.1670817
8. [8] Jia, S., Fan, J., “The causes and countermeasures of traffic accidents in Guizhou Province”, China Occup. Saf. Health, 3:40-43, (2014).

9. [9] EGM, “Trafik Kural İhlalleri”, https://www.egm.gov.tr/trafik-kural-ihlalleri.
10. [10] Nangana, L. S., Monga, B., Ngatu, N. R., Mbelambela, E. P., Mbutshu, L. H., Malonga, K. F., “Frequency, causes and human impact of motor vehicle-related road traffic accident (RTA) in Lubumbashi, Democratic Republic of Congo”, Environmental Health and Preventive Medicine, 21:350-355, (2016). DOI: 10.1007/s12199-016-0536-0
11. [11] Czech, S., Shakeshaft, A. P., Byrnes, J. M., Doran, C. M., “Comparing the cost of alcohol-related traffic crashes in rural and urban environments”, Accident Analysis & Prevention, 42(4):1195-1198, (2010). DOI: https://doi.org/10.1016/j.aap.2010.01.010
12. [12] Zador, P. L., Krawchuk, S. A., Voas, R. B., “Alcohol-related relative risk of driver fatalities and driver involvement in fatal crashes in relation to driver age and gender: An update using 1996 data”, Journal of Studies on Alcohol, 61(3): 387-395, (2000). DOI: https://doi.org/10.15288/jsa.2000.61.387
13. [13] Ristic, B., Rancic, N., Maksimovic, M., Ignjatovic-Ristic, D., “The influence of alcohol intoxication on the severity of injuries suffered by drivers in road traffic accidents”, European Journal of Trauma and Emergency Surgery, 39:363-368, (2013). DOI: 10.1007/s00068-013-0276-4
14. [14] Nishitani, Y., “Alcohol and traffic accidents in Japan”, IATSS Research, 43(2): 79-83, (2019). DOI: https://doi.org/10.1016/j.iatssr.2019.06.002
15. [15] Aarts, L., Van Schagen, I., “Driving speed and the risk of road crashes: A review”, Accident Analysis & Prevention, 38(2): 215-224, (2006). DOI: https://doi.org/10.1016/j.aap.2005.07.004
16. [16] Job, R. S., Brodie, C., “Road safety evidence review: Understanding the role of speeding and speed in serious crash trauma: A case study of New Zealand”, Journal of Road Safety, 33(1): 5-25, (2022). DOI: https://doi.org/10.33492/JRS-D-21-00069
17. [17] Kuyumcu, Z. Ç., Aslan, H., Yose, M. A., Ahadi, S. “Türkiye’de trafik kazaları ve sürücülerin kazalardaki payı”, Academic Perspective Procedia, 3(1): 694-702, (2020). DOI: https://doi.org/10.33793/acperpro.03.01.125
18. [18] Mayda, A. S., Yılmaz, M., Bolu, F., Çelebiler, N., “Traffic accidents and risk factors: evaluation of traffic accidents occurred in Düzce”, (2015). DOI: 10.5455/pmb.1-1396946991
19. [19] Shawky, M., “Factors affecting lane change crashes”, IATSS Research, 44(2), 155-161, (2020). DOI: https://doi.org/10.1016/j.iatssr.2019.12.002
20. [20] Al-Ababsah, H., Al-Talafeeh, A., “The effect of driver behavior mistakes on traffic safety”, Civil and Environmental Research, 6(1):39-54, (2014).
21. [21] Llorca, C., García, A., Moreno, A. T., Pérez-Zuriaga, A. M., “Influence of age, gender and delay on overtaking dynamics”, IET Intelligent Transport Systems, 7(2):174-181, (2013). DOI: https://doi.org/10.1049/iet-its.2012.0147
22. [22] Rubie, E., Haworth, N., Yamamoto, N., “Passing distance, speed and perceived risks to the cyclist and driver in passing events”, Journal of Safety Research, 87:86-95, (2023). DOI: https://doi.org/10.1016/j.jsr.2023.09.007
23. [23] Kraft, B., “Car Accidents Caused by Aggressive Driving”, Kraft & Associates, (2023).
24. [24] Khan, Z. H., Altamimi, A. B., “A new traffic system on driver sensitivity and safe distance headway”, Applied Sciences, 13(20):11262, (2023). DOI: https://doi.org/10.3390/app132011262
25. [25] Young, K. L., Regan, M. A., Triggs, T. J., Tomasevic, N., Stephan, K., Mitsopoulos, E. “Impact on car driving performance of a following distance warning system: Findings from the Australian Transport Accident Commission Safe Car Project”, Journal of Intelligent Transportation Systems, 11(3): p. 121-131, (2007). DOI: https://doi.org/10.1080/15472450701410411
26. [26] Liu, X., Huang, S., Chen, Q., “Analysis of the causes of expressway traffic accidents based on statistics of accidents on the Hunan Provincial expressway in 2012-2018”, Transportation Safety and Environment, (2023).
27. [27] Lipovac, K., Vujanic, M., Maric, B., Nesic, M., “The influence of a pedestrian countdown display on pedestrian behavior at signalized pedestrian crossings”, Transportation Research Part F: Traffic Psychology and Behaviour, 20:121-134, (2013). DOI: https://doi.org/10.1016/j.trf.2013.07.002
28. [28] Pasanen, E., “Driving speeds and pedestrian safety: A mathematical model”, (1992).
29. [29] Klinjun, N., Kelly, M., Praditsathaporn, C., Petsirasan, R., “Identification of factors affecting road traffic injuries incidence and severity in Southern Thailand based on accident investigation reports”, Sustainability, 13(22): 12467, (2021). DOI: https://doi.org/10.3390/su132212467
30. [30] Agarwal, P. K., Kumar, P., Singh, H., “Causes and factors in road traffic accidents at a tertiary care center of western Uttar Pradesh”, Medico-Legal Update, 20(1), (2020).
31. [31] Rosenbloom, T., Perlman, A. “Tendency to commit traffic violations and presence of passengers in the car”, Transportation Research Part F: Traffic Psychology and Behaviour, 39, 10-18, (2016). DOI: https://doi.org/10.1016/j.trf.2016.02.008
32. [32] Lee, C., Abdel-Aty, M. “Presence of passengers: Does it increase or reduce driver's crash potential?”, Accident Analysis & Prevention, 40(5), 1703-1712, (2008). DOI: https://doi.org/10.1016/j.aap.2008.06.006
33. [33] Megías, A., Cándido, A., Catena, A., Molinero, S., Maldonado, A. “The passenger effect: risky driving is a function of the driver‐passenger emotional relationship”, Applied Cognitive Psychology, 28(2), 254-258, (2014). DOI: https://doi.org/10.1002/acp.2989
34. [34] Levulytė, L., Baranyai, D., Sokolovskij, E., Török, Á. “Pedestrians’ role in road accidents”, International Journal for Traffic and Transport Engineering, 7(3), 328-341, (2017). DOI: http://dx.doi.org/10.7708/ijtte.2017.7(3).04
35. [35] Hamed, M. M., “Analysis of pedestrians’ behavior at pedestrian crossings”, Safety Science, 38(1): 63-82, (2001). DOI: https://doi.org/10.1016/S0925-7535(00)00058-8
36. [36] Akbar, A., “Road crossing behavior of pedestrians at unsignalised intersection of Dhaka city”, (2017).
37. [37] Febres, J. D., Mariscal, M. Á., Herrera, S., García-Herrero, S., “Pedestrians’ injury severity in traffic accidents in Spain: A pedestrian actions approach”, Sustainability, 13(11), 6439, (2021). DOI: https://doi.org/10.3390/su13116439
38. [38] Malik, F. A., Jabbar, S.F.S.F.F.R.M., Rashid, I.W.S.M.S.F., “Road accidents and prevention”, International Journal of Engineering Development and Research, 5(2):40-46, (2017).
39. [39] Touahmia, M., “Identification of risk factors influencing road traffic accidents”, Engineering, Technology & Applied Science Research, 8(1), 2417-2421, (2018).
40. [40] Pembuain, A., Priyanto, S., Suparma, L., “The effect of road infrastructure on traffic accidents”, In 11th Asia Pacific Transportation and the Environment Conference (APTE 2018) (pp. 176-182). Atlantis Press, (2019, October). DOI: 10.2991/apte-18.2019.27
41. [41] Lankarani, K. B., Heydari, S. T., Aghabeigi, M. R., Moafian, G., Hoseinzadeh, A., Vossoughi, M., “The impact of environmental factors on traffic accidents in Iran”, Journal of injury and violence research, 6(2), 64, (2014). DOI: 10.5249/jivr.v6i2.318
42. [42] Öner, J., Ersoysal, H., “Uşak ilinde meydana gelen trafik kazalarının incelenmesi”, Avrupa Bilim ve Teknoloji Dergisi, (31): 298-308, (2021). DOI: https://doi.org/10.31590/ejosat.996702
43. [43] Bureika, G., Žuraulis, V., Sadauskas, V., “Research on automobile technical state impact on road traffic accident level in the country”, in Transport Means-2012: Proceedings of the 16th international conference, (2012).
44. [44] Yan, M., Chen, W., Wang, J., Zhang, M., Zhao, L., “Characteristics and causes of particularly major road traffic accidents involving commercial vehicles in China”, International Journal of Environmental Research and Public Health, 18(8): 3878, (2021). DOI: https://doi.org/10.3390/ijerph18083878
45. [45] Oluwole, A. M., Rani, M. R. A., Rohani, J. M., “Commercial bus accident analysis through accident database”, Journal of Transport System Engineering, 2(1), 7-14, (2015).
46. [46] Ross, S. M., “Introduction to Probability and Statistics for Engineers and Scientist”, (2015).
47. [47] Analysis of variance (ANOVA) explained with formula, and an example, https://www-qualitygurus-com.translate.goog/analysis-of-variance-anova-explained-with-formula-and-an-example/?_x_tr_sl=en&_x_tr_tl=tr&_x_tr_hl=tr&_x_tr_pto=tc
48. [48] Torsen, E., Atule, A.A., “A nonparametric approach to data analysis on road traffic accidents”, International Journal of Mathematics and Statistics Invention (IJMSI), 6(3), (2018).
49. [49] Sheikh, M., “A statistical analysis of road traffic accidents and casualties in Bangladesh”, (2009). DOI: http://researchrepository.napier.ac.uk/id/eprint/2753
50. [50] Hunde, B. M., Aged, Z. D., “Statistical analysis of road traffic car accident in Dire Dawa Administrative City, Eastern Ethiopia”, Sci J Appl Mathematics Statistics, 3:250-256, (2015). DOI: 10.11648/j.sjams.20150306.14
51. [51] Velasco, V. P., Robielos, R. A. C., Gumasing, M. J. J., “Analysis of road traffic accident criticality in CALABARZON Philippines”, in Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management, (2021).
52. [52] Gulzar, S., Yahya, F., Mir, Z., Zafar, R., “Provincial analysis of traffic accidents in Pakistan”, Academic Research International, 3(3):365, (2012).
53. [53] Paçacı, B., Kasap, R., Çubuk, M., “Eğitim düzeyi, cinsiyet ve konumun trafik kazalarına etkisinin incelenmesi”, Trafik Mühendisliği Sempozyumu, (2024).
54. [54] Ekpenyong, E. J., Oko, P. I., “Analysis of reported cases of road traffic accidents in Umuahia Metropolis”, Journal of Applied Quantitative Methods, 10(2): 36-44, (2015).
55. [55] Mbarek, A., Jiber, M., Yahyaouy, A., Sabri, A., “Road traffic mortality in Morocco: Analysis of statistical data”, in 2020 International Conference on Intelligent Systems and Computer Vision (ISCV), (2020). DOI: 10.1109/ISCV49265.2020.9204325
56. [56] Borucka, A., Kozłowski, E., Oleszczuk, P., Świderski, A., “Predictive analysis of the impact of the time of day on road accidents in Poland”, Open Engineering, 11(1):142-150, (2020). DOI: https://doi.org/10.1515/eng-2021-0017
57. [57] Jiang, X., Yan, X., Huang, B., Richards, S. H., “Influence of curbs on traffic crash frequency on high-speed roadways”, Traffic Injury Prevention, 12(4): 412-421, (2011). DOI: https://doi.org/10.1080/15389588.2011.578285
58. [58] Athwani, M., Pandey, R. “Analysis of road traffic accidents in india with special focus on Uttar Pradesh”, (2015).
59. [59] EGM, “2021-2030 Karayolu Trafik Güvenliği Strateji Belgesi”, (2021). https://www.trafik.gov.tr/2021-2023-karayolu-trafik-guvenligi-strateji-belgesi-ve-2021-2023-karayolu-trafik-guvenligi-eylem-plani
60. [60] Gülada, M. O., Avcı, Ö., Çakı, C., “Emniyet kemerinin trafik güvenliğindeki rolü: Kamu spotlarının nitel analizi”, Trafik ve Ulaşım Araştırmaları Dergisi, 6(1): 59-79, (2023). DOI: https://doi.org/10.38002/tuad.1179833
61. [61] Chakraborty, M., Singh, H., Savolainen, P. T., Gates, T. J., “Examining correlation and trends in seatbelt use among occupants of the same vehicle using a bivariate probit model”, Transportation Research Record, 2675(7): 288-298, (2021). DOI: https://doi.org/10.1177/0361198121995487
62. [62] Quan, Y., Yibing, L., Yue, Z. “The analysis on the human-vehicle-road characteristics of vehicle rear-end impact accidents”, in IEEE International Conference on Vehicular Electronics and Safety, (2005). DOI: 10.1109/ICVES.2005.1563654
63. [63] Varhelyi, A., “Drivers’ speed behaviour at a zebra crossing: A case study”, Accident Analysis & Prevention, 30(6): 731-743, (1998).
64. [64] Mako, E., “Evaluation of human behaviour at pedestrian crossings”, in 2015 6th IEEE International Conference on Cognitive Infocommunications (Coginfocom), (2015). DOI: 10.1109/CogInfoCom.2015.7390634
65. [65] Türkiye Cumhuriyeti İçişleri Bakanlığı, “Karayolu trafik güvenliği uygulama politikası”, (2017). https://www.guvenlitrafik.gov.tr/kurumlar/guvenlitrafik.gov.tr/yayinlar/paydas_kurum_yayin/pdf_paydas/07_Karayolu-Trafik-Guvenligi-Uygulama-Politikasi.pdf
66. [66] 2021-2030 Karayolu trafik güvenliği on yıllık eylem planı. https://en.guvenlitrafik.gov.tr/kurumlar/guvenlitrafik.gov.tr/yayinlar/diger-uluslararasi/pdf-diger/kuresel_plan.pdf
67. [67] Road safety toolkit, “Road safety plans”, https://toolkit.irap.org/management/road-safety-plans/
68. [68] UNECE, “About UN road safety fund”, https://unece.org/about-un-road-safety-fund
69. [69] Goswami, A., Sonowal, R., “A statistical analysis of road traffic accidents in Dibrugarh City, Assam, India”, Division of Epidemiology and Nutrition, Regional Medical Research Centre. (2009).
70. [70] Awariefe, C., Ekryota, G., “Comparative study of causative factors of road traffic accidents in Nigeria: Non-parametric approach (A Study of Delta State)”, Interdisciplinary Journal of Maritime and Interdisciplinary Research, 3(15): 117-128, (2021).
71. [71] Ahmed, L. A., “Using logistic regression in determining the effective variables in traffic accidents”, Applied Mathematical Sciences, 11(42): 2047-2058, (2017).
72. [72] Lu, T., Dunyao, Z. H. U., Lixin, Y., Pan, Z., “The traffic accident hotspot prediction: Based on the logistic regression method”, In 2015 International conference on transportation information and safety (ICTIS), IEEE., 107-110, (2015, June). DOI: 10.1109/ICTIS.2015.7232194
73. [73] Zong, F., Xu, H., Zhang, H., “Prediction for traffic accident severity: Comparing the Bayesian network and regression models”, Mathematical Problems in Engineering, 2013(1): 475194, (2013). DOI: https://doi.org/10.1155/2013/475194
74. [74] Chen, H., Zhao, Y., Ma, X., “Critical factors analysis of severe traffic accidents based on Bayesian network in China”, Journal of Advanced Transportation, 2020(1): 8878265, (2020). DOI: https://doi.org/10.1155/2020/8878265