Nearly 499,000 motor vehicle crashes involving trucks were reported across the United States in 2018, out of which 22% resulted in fatalities and injuries. Given the growing economy and demand for trucking in the future, it is crucial to identify the risk factors to understand where, when, and why the likelihood of getting involved in a severe or moderate injury crash with a truck is higher. This research, therefore, focuses on capturing and exploring risk factors associated with surrounding land use and demographic characteristics in addition to crash, driver, and on-network characteristics by modeling injury severity of crashes involving trucks. Crash data for Mecklenburg County in North Carolina from 2013 to 2017 was used to develop partial proportionality odds model and identify risk factors influencing injury severity of crashes involving trucks. The findings from this research indicate that dark lighting condition, inclement weather condition, the presence of double yellow or no-passing zone, road sections with speed limit >40 mph and curves, and driver fatigue, impairment, and inattention have a significant influence on injury severity of crashes involving trucks. These outcomes indicate the need for effective geometric design and improved visibility to reduce the injury severity of crashes involving trucks. The likelihood of getting involved in a crash with a truck is also high in areas with high employment, government, light commercial, and light industrial land uses. The findings can be used to proactively plan and prioritize the allocation of resources to improve safety of transportation system users in these areas.
SARVANI DUVVURI, PHD
Dr. Sarvani Duvvuri received her Ph.D. in Infrastructure and Environmental Systems (INES) from the University of North Carolina at Charlotte, NC, where she is currently a Postdoctoral Researcher with the Infrastructure, Design, Environment, and Sustainability (IDEAS) Center. Her current research interests include traffic operations and safety, traffic simulation, and connected and automated vehicles.
SRINIVAS S. PULUGURTHA, PHD, PE, FASCE
Dr. Srinivas S. Pulugurtha, P.E., F.ASCE is currently working as a Professor and Research Director of the Department of Civil and Environmental Engineering at the University of North Carolina at Charlotte. He is also the Director of the IDEAS Center.
SONU MATHEW, PHD
Dr. Sonu Mathew received his Ph.D. in Infrastructure and Environmental Systems (INES) from the University of North Carolina at Charlotte, NC. He is a Postdoctoral Researcher with the IDEAS Center. His current research interests include traffic safety, traffic flow modeling and simulation, ITS, connected and automated vehicles, and spatial modeling.
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