A comprehensive analysis of factors leading to speeding offenses among large-truck drivers |
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| Affiliation: | 1. Ministry of Transportation and Communications, 6 Shengfu Road, Chung-Shin Village, Nantou City 54045, Taiwan, ROC;2. Department of Transportation Technology and Management, Feng Chia University, 100 Wenhwa Road, Seatwen, Taichung City 54407, Taiwan, ROC;3. Center for Advanced Transportation Management Systems, Feng Chia University, 100 Wenhwa Road, Taichung City 40724, Taiwan, ROC;1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China;2. Department of Civil Engineering, University of New Mexico, Albuquerque 87131, USA;1. Department of Civil Engineering, Ryerson University, Toronto, Ontario, Canada;2. Department of Civil Engineering, Central Tehran Branch, Islamic Azad University (IAUCTB), Tehran, Iran;3. Department of Civil Engineering, University of Golestan, Gorgan, Iran;1. School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran;2. Department of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway;1. Intelligent Transportation Research Center, Wuhan University of Technology, Wuhan, China;2. School of Traffic & Transportation Engineering, Central South University, Changsha, China;3. China Transport Telecommunications & Information Center, Beijing, China;4. Ministry of Transport of the People’s Republic of China, Beijing, China;5. California PATH, University of California, Berkeley, CA, USA;1. Battelle Memorial Institute, 1100 Dexter Ave. N. Suite 350, Seattle, WA 98109, USA;2. National Highway Traffic Safety Administration, 1200 New Jersey Ave. SE. W46-500, DC 20590, USA;1. School of Civil and Construction Engineering, Oregon State University, 211 Kearney Hall, Corvallis, OR 97331, United States;2. School of Civil and Construction Engineering, Oregon State University, 101 Kearney Hall, Corvallis, OR 97331, United States;3. Department of Civil and Environmental Engineering, Portland State University, Engineering Building, 1930 SW 4th Ave, Portland, OR 97201, United States;4. School of Economic Sciences, Washington State University, United States |
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| Abstract: | Much research has demonstrated that speeding is the most common offense among car drivers. However, few studies have focused on this offense among drivers of large trucks. This paper investigates the factors that lead to speeding offenses for drivers of large trucks in Taiwan. The study sample consisted of information for 2101 male large-truck drivers from a national survey in 2012. The results revealed that drivers’ daily working hours ranged from 2 to 15 h with a mean of 9.67 h, and that they worked for approximately 25.23 days – and rested only 4.77 days – per month. Among these observed drivers, 11.6% reported having at least one speeding offense over a one-year period. The results of a logistic regression model presented that the factors that influenced speeding offense were not related to job experience. Rather, the driver’s demographics (age and education), mental condition (sleep quality), and driving status (yearly distance driven and driving late at night) were significantly linked to speeding offenses. |
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| Keywords: | Large truck driver Speeding offense Sleep quality Driving status |
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