Abstract
Road traffic accident occurrences are terrible global phenomena all over the world. With more and different motorized vehicles, Bangladesh and Khulna city face a more significant number of fatalities and injuries. The metropolitan city is one of the riskiest places for road accidents because of its higher population density than in any other location. Road accidents in Khulna city are a significant problem, and they are increasing day by day. So, to reduce the severity of road accidents, the factors influencing road accident severity in Khulna city must be studied and analyzed. Binomial logistic regression is selected and applied to predict the risk or severity of 266 accidents from 2010 to 2019, collected by the Traffic Branch of the Deputy Police Commissioner of Khulna Metropolitan Police. The response variable for this study is accident severity (fatal and non-fatal). According to the study's findings, the number of injuries, number of fatalities, vehicle velocity, accident time, collision type, type of vehicle, and vehicle ownership influence the severity of road traffic accidents in Khulna. This study and its recommendations will aid in developing and implementing future road traffic policies and safety measures.
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