Impact of Policy Interventions on Traffic Mortality: A Decade of Data from Eastern Saudi Arabia

Abstract: Traffic accidents are a major cause of mortality globally, and Saudi Arabia faces significant challenges in reducing road fatalities. This study examines 10 years of traffic accident data (2010-2020) from the Eastern Region of Saudi Arabia to assess the impact of policy interventions on traffic mortality rates. The dataset includes detailed demographic, geographic, and temporal information on traffic-related fatalities, enabling a comprehensive analysis of factors contributing to accidents. Using machine learning models, such as classification algorithms for severity prediction and time series forecasting for mortality trends, this research investigates the effectiveness of various policy measures. Additionally, geospatial clustering techniques are employed to identify high-risk zones, providing insights into where policy interventions have been most effective. The analysis explores the relationship between the timing and type of policy interventions—such as stricter traffic regulations, enhanced road infrastructure, and public awareness campaigns—and the reduction in fatalities. Results from this study highlight the most successful interventions and reveal areas that continue to pose risks despite policy efforts. This research offers a significant insights for policymakers to improve road safety in the Eastern Region of Saudi Arabia. The findings contribute to the global understanding of how targeted interventions can reduce traffic-related fatalities, offering valuable lessons for regions facing similar challenges.