1665516 - Analysis of Factors Contributing to Different Pedestrian Injury Severity Levels at Different Site

This study focus on the factors affecting pedestrian crashes at different locations with their injury severity level using multinomial logit model. Pedestrian crashes are addressed to be complex events involving interaction among several factors i.e. driver, roadway, and traffic and environment characteristics. The dataset of pedestrian crash in Chicago used to determine the injury severity level with factors leading to it. The data used for this study contain 5,791 pedestrian crash severities from police-reported crashes collected from Chicago in 2011 and 2012. The data were filtered for the crashes occurred at various locations i.e. intersection and non- intersection. Multinomial logit model (MNL) was used to analyses the significant variables which leads to different injury levels i.e. variables like age of vehicle, commuter age, vehicle speed, gender, and day of week, light and weather condition and others. The goal of this study was to focus on crashes that occurred at various locations i.e. intersection and non- intersection. The total crashes that occurred at intersection and non-intersection are 2601 and 3190 out of 5,791 respectively. The results show that there is two significant variables in common which influence the injury severity level i.e. light condition indicates and traffic control devices. Light condition indicates that some crashes on daylight may be more likely to result in minor injury while majority are less likely to cause severely injuries. This study also found that pedestrian are less likely to have severe injury if the crash occurs at place where traffic signals are used as traffic control devices.