Driver injury severity study for truck involved accidents at highway-rail grade crossings in the United States |
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| Institution: | 1. University Transportation Research Center, City College of New York, New York, NY 10031, United States;2. Department of Civil, Construction, & Environmental Engineering, San Diego State University, CA 92182, United States;3. Leidos, Inc., 11251 Roger Bacon Drive, Reston, VA 20190, United States;4. Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China;1. School of Civil and Construction Engineering Oregon State University, 309 Owen Hall, Corvallis, OR 97331-3212, USA;2. Department of Civil and Environmental Engineering, West Virginia University, Room 621 ESB, P. O. Box 6103, Morgantown, WV 26506-6103, USA;1. Department of Civil Engineering, University of South Alabama, 150 Jaguar Drive, Shelby Hall, Suite 3142, Mobile, AL 36688, United States;2. Department of Civil, Construction & Environmental Engineering, University of Alabama, Box 870205, Tuscaloosa, AL 35487, United States;1. Rensselaer Polytechnic Institute, 4027 JEC Building, 110 8th Street, Troy, NY 12180-3590, USA;2. Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, 4032 JEC Building, 110 8th Street, Troy, NY 12180-3590, USA;1. Department of Pharmaceutical Sciences, Universidade Estadual de Londrina (UEL), Londrina, Paraná, Brazil;2. Postgraduate Program in Public Health, Department of Public Health, Universidade Estadual de Londrina (UEL), Brazil |
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| Abstract: | Although trucks only account for approximately 4% of all the vehicles based on the Federal Railway Administration (FRA) database, about 25% involved truck accidents happen at highway-rail grade crossings. This study applied an ordered probit model to explore the determinants of injury severity of truck drivers at highway-rail grade crossing in the United States. Given the importance of trucking to the economics of a country and the safety concerns posed by the trucks (as a result of their large size and weight making them difficult to control, maneuver, and stop), a comprehensive research on truck accidents is critical. Based on data analysis results, the strong effects of driver-, environmental-, weather- characteristics on the injury severities in truck accidents happened at highway-rail grade crossings are found. The findings reveal that better speed control for trucks will significantly reduce driver injury severity in accidents occurring at highway-rail grade crossings. In addition, several truck driver behavior characteristics (such as driving under influence of fatigue during peak hour) were found to be statistically significant predictors of high-level injury severity. Thus, education and enforcement targeted to truck drivers could facilitate safety improvements. Moreover, environmental factor (such as area type and roadway pavement) is found to be statistically significant. Truck drivers are more likely to have severe injury in open space area with low traffic volume compared with other areas. The bad weather and visibility condition is found to increase the probability of truck drivers’ high level injury severity. |
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| Keywords: | Injury severity Truck drivers Highway-rail grade crossing Accidents Ordered probit model |
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