A Multinomial Logit Model of Pedestrian–Vehicle Crash Severity

Abstract

ABSTRACT This article estimated a multinomial logit model to identify the factors determining the severity of pedestrian–vehicle crashes in South Korea. Our results showed that relative to minor crashes, fatal and serious crashes were associated with collisions involving heavy vehicles; drivers who were drunk, male or under the age of 65; pedestrians who were over the age of 65 or female; and pedestrians who were hit in the middle of the road, on high speed roads, in inclement weather conditions, at night, on road links, in tunnels, on bridges, or on wider roads.