Date of Award
12-2013
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Committee Chair/Advisor
Dr. David. M. Neyens
Committee Member
Dr. William G. Ferrell
Committee Member
Dr. Anand K. Gramopadhye
Committee Member
Dr. Kevin M. Taaffe
Abstract
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.
Recommended Citation
Abdelwanis, Naji, "Characteristics and Contributing Factors of Emergency Vehicle Crashes" (2013). All Dissertations. 1224.
https://open.clemson.edu/all_dissertations/1224