Pedestrian Serious Casualty Risk in Victoria, Australia: A Logistic Regression Analysis of Road, Environmental and Human Demographic Factors
Keywords: Pedestrian Safety
Submission Date: 2016 Conference: ARSC
EXTENDED ABSTRACT: Pedestrian safety is securing more and more support from the Victorian Government. This paper investigated the effect of road, environmental and human demographic characteristics on the likelihood of pedestrian fatal and serious injuries in Victoria, Australia. Pedestrian injury data was obtained from Transport Accident Commission (TAC) dataset, where the injury data are validated using TAC hospitalization data. A binary logistic regression model was developed to identify factors influencing the likelihood of pedestrian serious casualty. This study will assist TAC and VicRoads in formulation of pedestrian programs and selection of treatments which effectively target pedestrian serious casualty risk factors.