Abstract

AbstractRoad traffic injuries alone account for nearly 3000 deaths per day and around two million lives worldwide. India, developing nation also faces substantial number of death due to road accidents, and it is increasing at an alarming rate. Among several states, Tamilnadu topped the number of road accidents accounting for around 14.9% of the road accidents occurring in the country. Among the cities, Chennai reported the highest number of road accidents during 2016. Hence, systematically analyzing road data and implementing proper measures are need of the hour to reduce fatality rate in coming years in urban cities. Hence, in this study, road traffic data extracted from the road accidents analysis and management system (RADMS) database has been analyzed for urban Chennai for the year 2015. The outcome variable was considered to be accident severity and the predictor variables were classified into driver, road, vehicle, temporal, collision and environmental factors. The quantitative data was analyzed for descriptive statistics, and chi-square test was performed to measure the association between accident severity and predictor variables at 95% confidence intervals. Driver’s gender, no. of drivers involved in accidents, whether the accident was hit and run case, location of accident, vehicle type, Illumination level, road surface conditions, central divider, junction type, no. of lanes, traffic movement and landmark were the contributing factors associated with accident severity. Data analysis from this study provide insights on factors to be considered to reduce accident fatalities and injuries.KeywordsAccident severityRisk factorsChennai cityRoad safety

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call