A comparative injury severity analysis of motorcycle at-fault crashes on rural and urban roadways in Alabama 2017

abstract

The research described in this paper explored the factors contributing to the injury severity resulting from the
motorcycle at-fault accidents in rural and urban areas in Alabama. Given the occurrence of a motorcycle at-fault
crash, random parameter logit models of injury severity (with possible outcomes of fatal, major, minor, and
possible or no injury) were estimated. The estimated models identified a variety of statistically significant factors
influencing the injury severities resulting from motorcycle at-fault crashes. According to these models, some
variables were found to be significant only in one model (rural or urban) but not in the other one. For example,
variables such as clear weather, young motorcyclists, and roadway without light were found significant only in
the rural model. On the other hand, variables such as older female motorcyclists, horizontal curve and at intersection
were found significant only in the urban model. In addition, some variables (such as, motorcyclists
under influence of alcohol, non-usage of helmet, high speed roadways, etc.) were found significant in both
models. Also, estimation findings showed that two parameters (clear weather and roadway without light) in the
rural model and one parameter (on weekend) in the urban model could be modeled as random parameters
indicating their varying influences on the injury severity due to unobserved effects. Based on the results obtained,
this paper discusses the effects of different variables on injury severities resulting from rural and urban
motorcycle at-fault crashes and their possible explanations.