Intervention Analysis of Road Traffic Accidents in Nigeria


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This study reports on the development in road traffic accidents in Nigeria since 1994. The preliminary survey took Edo state, one of the 36 constituent States of Nigeria, as a case study. An intervention model, which is a combination of an ARIMA noise and dichotomous models, was employed in analyzing a seven-year monthly accident time series obtained from the Federal Office of Statistics and the Federal Road Safety Corps of Nigeria. The Durbin Watson’s test statistic, used to ascertain the adequacy of our ARIMA predictive model, suggested that the intervention model adopted has a good fit. The study points up a significant reduction in the rate of road traffic accidents through multiple policy interventions of Nigeria.



Advanced Materials Research (Volumes 18-19)

Edited by:

Prof. A.O. Akii Ibhadode




A.C. Igboanugo and E.F. Ekhuemelo, "Intervention Analysis of Road Traffic Accidents in Nigeria ", Advanced Materials Research, Vols. 18-19, pp. 375-382, 2007

Online since:

June 2007




[1] UN Chronicle (June - August 2003) - WHO and FIA: Joint efforts for road safety- Safe Road, World Health Day (2004).

[2] J.O. Asalor, E.A. Onibere, G.C. Ovuworie: Road Traffic Accidents in Developing Countries. Vol. 1 (1994).

[3] G.E.P. Box and G.C. Tiao: Intervention analysis with applications to economic and environmental problems. Journal of the American Statistical Association, 70, 70 - 79 (1975).


[4] D. T. Campbell and J.C. Stanley: Experimental and quisi-experimental designs for research. Chicago Rand McNally (1963).

[5] B. M. Yang and J. Kim: Road Traffic Accidents and Policy Interventions in Korea. Journal of Injury Control and Safety Promotion, Vol. 10, No. 1-2, (2003) pp.89-94 Swets and Zeitlinger.


[6] L.L.P. Balkin, Ernst Young and J. Keithord: Assessing the impact of speed limit increases on fatal inter state crashes. George Town, University U.S. A (2003).

[7] Petersens Richard: Statistical Modeling of Traffic Safety Development (2003).

[8] P.A. Hancock and SN DE Ridder: Behavioural accident avoidance science: understanding response in collision incipient conditions. Ergonomics, vol. 46, No. 12, (2003) pp.1111-1135 (25).


[9] K. Afukaar Francis: Speed control in developing countries: Issues, Challenges and Opportunities in Reducing Road Traffic Injuries (2002).


[10] P. Suniyawonpaisal and S. Kanchanasut: Road traffic injuries in Thailand; Trends, Selected underlying determinants and Status of intervention (2002).

[11] I.A. Olukoga: Pedestrian Casualties and Fatalities in Road Traffic Crashes in a South Africa Municipality. Traffic Injury Prevention, vol. 4, No 4, (2003) pp.355-357(3). Taylor and Francis Ltd.


[12] E. Ehikhamenor and H. Obianwuho: digital screening for Blood Alcohol Concentration (BAC) in a Southern Nigeria City. Traffic Injury Prevention, vol. 7, No 1, 2006 pp.70-75 (6).


[13] F.K. Afukaar, P. Antwi, and S. Ofosu-Amaah: Pattern of Road Traffic Injuries in Ghana. Implications for control: Injury control and safety promotion, vol. 10, No. 1-2, 2003. pp.69-76 (8).


[14] M. G. Trinidad, F. A. Javier: Road Traffic Accidents among Alcohol Dependent Patients: The Effect of Treatment. Accid. Anal. Prev., vol. 38, (2005) pp.201-207.