Ohio crash data for 2003-2007 were used to investigate the odds of a motorcyclist being fatally injured in a crash and the risk factors involved. The results show that risk factors for fatal crashes significantly increase when the following circumstances apply: the motorcyclist is less than 25 years of age, being the motorcycle rider, use of excessive speeding, use of alcohol and/or drugs, riding without helmet, being involved in a single-vehicle crash at a non-intersection location, crashing on horizontal curves, on graded segments, and on major roadways. The combination of risk factors, such as nighttime riding at horizontal curves, excessive speeding on major roads, traveling at excessive speed while under the influence of drugs and/or alcohol, and younger riders negotiating horizontal curves, greatly increases the likelihood of fatal injury crashes. In order to reduce the number of fatal crashes this study indicates that the dangers of excessive speed and operating a motorcycle while intoxicated must be fully stressed to the public. The enactment of an Ohio universal helmet law is particularly recommended.

The purpose of this study was to examine the contributing factors and characteristics associated with fatality and injuries sustained by drivers of emergency vehicles (EVs) involved in traffic crashes in the state of Ohio. Emergence vehicle drivers considered in this study include drivers of firefighter truck, drivers of ambulances (emergency medical services), and law enforcement officers. Some few research efforts recently conducted using Ohio0́9s crash data have shown that emergency vehicles are significant factors in increasing crash and injury severity levels. The current study investigated the injury risk factors of crashes involving EVs by using Ohio crash data for 2011-2015. A binary logistic regression model was developed to identify statistically significant factors related to fatalities and injuries of EV drivers. The logistic regression model identified fourteen factors. Significant factors identified include type of crash, collision type, speed related, traffic control type, alcohol related, type of emergency vehicle, emergency related trip, female driver, light condition, teen-related, not using seatbelt, curved and grade segment. Educational and enforcement strategies can be used to reduce EV related crashes and injuries.

This book (in three volumes) comprises the proceedings of the Fifth Conference of Transportation Research Group of India (CTRG2019) focusing on emerging opportunities and challenges in the field of transportation of people and freight. The contents of the volume include characterization of conventional and innovative pavement materials, operational effects of road geometry, user impact of multimodal transport projects, spatial analysis of travel patterns, socio-economic impacts of transport projects, analysis of transportation policy and planning for safety and security, technology enabled models of mobility services, etc. This book will be beneficial to researchers, educators, practitioners and policy makers alike.