Modelling Road Traffic Crash Variables in Anambra State, Nigeria: An Application of Negative Binomial Regression

International audience Incessant road traffic crashes with attendant injuries and deaths to road users have been a thing of serious concern to all stakeholders in low-middle-income countries including Nigeria. This study analyzed the causes of road traffic crashes in Anambra Sta te, Nigeria with the intention of determining significant factors affecting road traffic crashes in the State using negative binomial regression model. The result revealed that: over speeding, use of mobile phone while driving, loss of control, dangerous driving, brake failure, tyre failure/burst, bad road, sleeping on steering, wrongful overtaking, road obstruction and weather condition are the statistical significant factors influencing road traffic crashes in Anambra State, Nigeria. The analysis of the residual and likelihood ratio showed that the model is robust in describing crash situations in the State. The outcome of this study will help road safety agency in the State in understanding the significant crash contributing factors, their effects, and in developing effective and efficient countermeasures that can help in curbing crash occurrences in the State.