Investigating the Risk Factors on Crash Severity for Selected Risky Roads in Al-Diwaniyah City by Utilizing a Binary Probit Model

Traffic crashes are one of the main reasons for deaths many people and loss property. Road safety is a crucial aspect transportation that aims to prevent injuries on road, several contributing factors affect it. In this study, binary probit model using N-Logit software was applied crash-related data examine contribution variables severe crash outcomes in Al-Diwaniyah City. Crash severity (the dependent variable) study dichotomous variable with two categories, non-severe. Because nature variable, found suitable. Out 37 independent obtained from Hospital traffic reports between 2014 2021 fieldwork evaluate pavement surface condition index (PCI), six were statistically significantly associated crashes. These include driver age, spring summer seasons, conditions, pedestrian collisions, multi-vehicle Some proposals also recommended reduce crashes, such as median barriers regulate crossing, managing proper number lanes roads avoid congestion due large vehicles, assessing annually at least, identify defects conduct appropriate maintenance. Therefore, governments agencies must prioritize regular evaluation part their maintenance programs highways. conclusion, road complex issue requires multi-faceted approach involving various stakeholders government agencies, law enforcement vehicle manufacturers, drivers, pedestrians, other users.