The Effects of the Daily Driven Distance and Age Factor on the Traffic Accidents

  • Figen Ş. KALYONCUOĞLU Suleyman Demirel University Engineering Faculty
  • Mesut TIĞDEMİR Suleyman Demirel University Engineering Faculty
Keywords: traffic accidents, age factor, daily driven distance, involving in accidents,


Based on Turkish traffic survey data (n=5,520), driver accident rates per million kilometre-driver were compared according to the daily driven distances (DDD) for each age group as very old (65+, n=39), old (56-65, n=183), above middle-aged (36-55, n=1,875), middle-aged (26-35, n=2,204), and young (25-, n=1,219). When the accidents-per-km comparison was made in groups matched for daily exposure, there was no evidence of higher risk with increasing age. In all age groups, risk per km decreased with increasing daily driving distance. With this study the accident involvement prediction models have been obtained related to the daily driven distance with and without considering age. These models have been applied to some earlier studies. The results are quite satisfactory. The set of data of this study and the analysis controlling the daily (yearly) driving distance might make the “age” effect disappear.

Author Biographies

Figen Ş. KALYONCUOĞLU, Suleyman Demirel University Engineering Faculty
Mesut TIĞDEMİR, Suleyman Demirel University Engineering Faculty


[1] Peck RC, Kuan J. A statistical model of individual accident risk prediction using driver record, territory and other biographical factors. Accident Analysis and Prevention. 1983;15(5):371–393.

[2] Massie DL, Green PE, Campbell KL. Crash involvement rates by driver gender and the role of average annual mileage. Accident Analysis and Prevention. 1997;29(5):675–685.

[3] Elander J, West R, French D. Behavioral correlates of individual differences in road-traffic crash risk: An examination of methods and findings. Psychological Bulletin. 1993;113(2):279–294.

[4] Maycock G. Accident liability and human factors-researching the relationship. Traffic Engineering and Control. 1985;26:330–335.

[5] Janke MK. Accidents, mileage, and the exaggeration of risk. Accident Analysis and Prevention. 1991;23(2-3):183–188.

[6] Lourens Peter F, Vissers Jan AMM, Jessurun M. Annual mileage, driving violations, and accident involvement in relation to drivers’ sex, age, and level of education. Accident Analysis and Prevention. 1999;31(5):593-597.

[7] Maycock G. The safety of older car drivers in the European Union. Basingstoke: AA Foundation for Road safety Research; 1997.

[8] White S, O’Neill D. Health and relicensing policies for older drivers in the European Union. Gerontology. 2000;46:146–152.

[9] Hakamies-Blomqvist L, Johansson K, Lundberg C. Medical screening of older drivers as a traffic safety measure – a comparative Finnish–Swedish evaluation study. Journal of the American Geriatrics Society. 1996;44(6):650–653.

[10] Broughton J. The variation of car drivers’ accident risk with age. Crowthorne, Berkshire: Transport and Road Research Laboratory; 1988.

[11] Hakamies-Blomqvist L, Raitanen T, O’Neill D. Driver ageing does not cause higher accident rates per km. Transportation Research Part F: Traffic Psychology and Behaviour. 2002 Dec;5(4):271-274.

[12] Hakamies-Blomqvist L. Safety of older persons in traffic. Proceedings Transportation Research Board Conference: Proceedings 27. Washington. 2004.

[13] Organisation for Economic Co-operation and Development (OECD). Ageing and Transport: Mobility Needs and Safety Issues. Paris, France; 2001.

[14] Viano DC, Culver CC, Evans L, Frick M, Scott R. Involvement of older drivers in multi-vehicle side impact crashes. Accident Analysis and Prevention. 1990;22(2):177–188.

[15] Evans L. Traffic Safety and the Driver. Van Nostrand Reinhold, New York; 1991.

[16] Dejeammes M, Ramet M. Aging process and safety enhancement of car occupants. Proceedings of the 15th International Technical Conference on the Enhanced Safety of Vehicles. Melbourne, Australia; 1996.

[17] Mackay M. Occupant protection and vehicle design. Association for the Advancement of Automotive Medicine Course on the Biomechanics of Impact Trauma. Los Angeles, USA; 1998.

[18] Padmanaban J. Crash injury experience of elderly drivers. In: Proceedings of the Presentation at Aging and Driving Symposium. Southfield, MI, Association for the Advancement of Automotive Medicine, Des Plaines, IL. 2001.

[19] Li G, Braver E, Chen L. Fragility versus excessive crash involvement as determinants of high death rates per vehicle-mile of travel among older drivers. Accident Analysis and Prevention. 2003;35(2):227–235.

[20] Fontaine H. Age des conducteurs de voiture et accidents de la route: Quel risque pour les seniors. Recherche-Transports-Securite; 2003. p. 79–80, 107–120.

[21] Kuhn T. The Structure of Scientific Revolutions. 2nd ed. Chicago: University of Chicago Press; 1970.

[22] Staplin L, Gish KW, Joyce J. ‘Low mileage bias’ and related policy implications – cautionary note. Accident Analysis and Prevention. 2008;40(3):1249–1252.

[23] Langford J, Methorst R, Hakamies-Blomqvist L. Older drivers do not have a high crash risk – A replication of low mileage bias. Accident Analysis and Prevention. 2006;38(3):574-578.

[24] Langford J, Koppel S, McCarthy D, Srinivasan S. In defence of the ‘low-mileage bias’. Accident Analysis and Prevention. 2008;40(6):1996-1999.

[25] Kalyoncuoglu SF. Analysis of Driver Behaviors Influencing Traffic Safety in Turkey [dissertation]. Istanbul: I.T.U Natural and Applied Science Institute; 1999 (in Turkish).
How to Cite
KALYONCUOĞLU F, TIĞDEMİR M. The Effects of the Daily Driven Distance and Age Factor on the Traffic Accidents. Promet - Traffic & Transportation [Internet]. 26May2014 [cited 23Sep.2018];26(3):201-7. Available from: