Statistical Modeling of Delivery Delays Due to Weather and Traffic Factors

This study investigates the influence of weather conditions and traffic flow dynamics on parcel delivery times. The main goal is to identify the factors contributing to delivery delays, which will help pinpoint key aspects that can improve logistics processes and enhance delivery accuracy. The Kruskal-Wallis test and Dunn’s post hoc analysis examined variations across data groups categorized by weather conditions (e.g., rain, snow, fog, storms) and traffic flow states (e.g., dense, congested, free-flowing, unobstructed). Additionally, a comparative approach was employed to assess the effects of different weather and traffic conditions. The results show that adverse weather conditions, such as rain and snow, combined with high traffic congestion, significantly increase delivery times compared to clear weather and normal or free-flowing traffic conditions. These findings offer valuable insights for future research and the optimization of logistics operations.