Exploring the relationship between truck load capacity and traffic accidents in the European Union |
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| Institution: | 1. Applied Economics & Management Research Group, University of Seville, Spain;2. Dept. of Economic Policy, University of Barcelona, Spain;1. North Dakota State University Extension, Central Grasslands Research Extension Center, 4824 48th Avenue SE, Streeter, ND 58483, USA;2. Reymann Memorial Farms, West Virginia University Davis College of Agriculture, Natural Resources and Design, 1695 State Route 259 North, Wardensville, WV 26851, USA;3. Ridgeline Vet Services, LLC, 89493 509 Avenue, Lynch, NE 68746, USA;1. School of Civil and Construction Engineering, Oregon State University, 211 Kearney Hall, Corvallis, OR 97331-3212, United States;2. School of Civil and Construction Engineering, Oregon State University, 309 Owen Hall, Corvallis, OR 97331-3212, United States;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. Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Division of Safety Research, 1095 Willowdale Road, Morgantown, WV 26505, United States;2. Virginia Tech Transportation Institute, Virginia Tech, 3500 Transportation Research Dr., Blacksburg, VA 24061, United States;3. Department of Statistics, Virginia Tech, 406A Hutcheson Hall, Blacksburg, VA 24061, United States;1. School of Transportation, Southeast University, Jiangsu Key Laboratory of Urban ITS, Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, PR China;2. School of Transportation, Southeast University, Jiangsu Key Laboratory of Urban ITS, Southeast University, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, 2 Sipailou, Nanjing 210096, PR China;3. Urban Planning Group, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands;4. School of Transportation, Dalian Maritime University, PR China |
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| Abstract: | Applying econometric techniques to EU28 panel data and controlling for explanatory variables such as road types, we find that increased truck load capacity does not necessarily aggravate road traffic safety. Specifically, heavy trucks do not seem to be linked with greater numbers of traffic fatalities/accidents, medium trucks appear to be the worst performers in terms of fatalities, and light trucks seem to be the worst for accidents. In summary, our results clarify the complex relationship between truck load capacity and road safety, pointing to the existence of a negative correlation for accidents per capita and an inverse U-shaped curve for fatalities per capita. |
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| Keywords: | Road freight transport Truck types Load capacity Road safety Panel data European Union |
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