DMP-2015.

This study explores the demographic and behavioral determinants of road traffic accident (RTA) severity in the context of the Dhaka metropolitan area, Bangladesh. Road crash data recorded by the Dhaka Metropolitan Police (DMP) were analyzed through ordered logistic regression and generalized ordered logistic regression. The results were interpreted using log odds ratios, odds ratios, predicted probabilities, and marginal effects. The findings reveal that young and middle-aged drivers exhibit significantly higher odds of severe crashes compared to underage drivers. Young-aged drivers are 14 percentage points more likely to cause fatal crashes when compared to old aged drivers in our ordered logit model. In addition, male drivers show higher odds of severe crashes than females. Factors such as overloading of vehicles, alcohol consumption while driving, and over-speeding were identified as the major contributors to increasing crash severity. Alcohol consumption had an odds ratio of 1.223 in the ordered logit model, and it had odds ratios of 2.418, 1.722, and 1.086 for the thresholds of motor collision, simple injury, and grievous injury, respectively, in the generalized ordered logit model. In contrast, the use of seatbelts, vehicle fitness maintenance, and drivers’ licensing shows mitigating effects on crash severity, with significant odds ratios