Understanding pedestrian hit-and-run crash patterns using Louisiana data

Abstract Walking is an active and sustainable mode of transportation with numerous health and environmental benefits. However, the growing concern over the increasing number of hit-and-run crashes involving pedestrians poses a significant threat to public health. This research investigates the various factors contributing to the severity of injuries sustained by pedestrians in hit-and-run crashes. By analysing data from hit-and-run incidents involving pedestrians in Louisiana, USA between 2017 and 2021, this study examined the complex relationships between contributing factors, pedestrian actions, driver and pedestrian characteristics and injury severity. Bayesian network analysis was employed to unravel the intricate web of variables. Findings showed that the highest probability of pedestrian injury occurred when the driver's condition was known and normal, without the involvement…