Abstract
Road traffic accidents (RTA) have been of concern both in developed and developing nations of the world. This study examined the road accident trends in Osun State, Nigeria, over 7 years (2015 to 2021). The dataset used is secondary data obtained from the Federal Road Safety Commission (FRSC), Osun State, Nigeria. This includes the number of cases (fatal, serious, and minor), the number of people dead, and the number of people injured. Multivariate Time Series analysis shows that an average of 243 and 44 people were injured and killed, respectively, quarterly. For the total of 1859 reported cases, 6809 and 1232 people were injured and killed, respectively, for the 7 years. The Vector Autoregressive (VAR) model was applied to study the underlying patterns and forecast future values for the number of deaths and injuries for the year 2022. Based on the value of Akaike's Information Criteria (AIC) and Bayesian's Information Criteria (BIC), the model with the constant was the best of all. The result of the forecast indicates that 245 people are predicted to be injured in the first quarter of 2022 and 243 people in the second, third, and fourth quarters. 44 people are predicted to be killed in the first quarter of 2022 and 45 people in the second, third, and fourth quarters, accident occurrence for the 7 years has a low severity index. According to the findings, it was discovered that the number of people injured and killed in traffic accidents has been rising over time. This is the outcome of several variables, including environmental, human, and road-related factors. Therefore, to decrease traffic-related deaths and injuries, the government and concerned non-governmental organizations must embark on educating drivers about defensive driving, enforcing road traffic laws, and traffic education to the populace.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Similar Papers
More From: Journal of Construction Project Management and Innovation
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.