Date of Award


Document Type


Degree Name

Doctor of Philosophy (PhD)

Legacy Department

Industrial Engineering


Dr. David. M. Neyens

Committee Member

Dr. William G. Ferrell

Committee Member

Dr. Anand K. Gramopadhye

Committee Member

Dr. Kevin M. Taaffe


The purpose of this study is to determine the contributing factors and characteristics associated with emergency vehicle(EV) crashes in order to generate insights about the emergency crashes. This dissertation consists of three approaches to address the purpose. In the first analysis a binary logistic regression model was used to identify the critical factors associated with EV crashes that resulted in fatality compared to those that did not. In the second analysis, an ordered regression model was used to identify critical factors that contributed to the severity of injuries that EV occupants experience in crashes as well as the effect of driver distraction and driver fatigue on the severity of injury in EV crashes. The third analysis employed a multinomial logit model to identify the disparities among types of EV (e.g., police, ambulance, and fire trucks) in terms of the types of crash. The results of this research have demonstrated several significant factors associated with the EV crashes in addition to what has been established in literature before.