This paper employed an ordered probit model (OPM) to examine factors that affect the injury severity of motorcycle accidents and the severity of damage to the vehicle in those crashes. Nine years of motorcycle accident data was obtained for Singapore through police reports, including categorical assessments of the severity of accidents based on 3 levels. Damage severity to the vehicle was also assessed and categorized into 4 levels. This type of data is best analysed using OPMs because it requires no assumptions regarding the ordinality of the dependent variable, which in this case is the severity score. Various models were examined to determine what factors were related to increased injury and damage severity of motorcycle accidents. Factors found to lead to increases in the probability of severe injuries and to increased probability of vehicle damage are discussed. (Author/publisher)
Samenvatting