Abstract
Rwanda, like other African countries, faced the challenges of road traffic crashes, which increased year-over-year. In this present study, the authors employed logistic regression and discriminant analysis to model the contributing factors associated with crash severity in Rwanda over a study period from January 2010 to December 2022. The logistic regression results revealed that all predicted variables were statistically significant and showed an impact on the occurrence of crashes in Rwanda. The model was correctly classified, with an overall accuracy of 75.4%. For discriminant analysis, the results revealed that all explanatory variables have a high and lesser impact, with a significance probability less than 0.05. The discriminant function was reclassified with an overall accuracy of 64.2%. The predicted models can be used as proactive tools for guiding road safety policy-makers in planning, designing, and executing road infrastructure.
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