Association Between Commercial Vehicle Driver At-Fault Crashes Involving Sleepiness/Fatigue and Proximity to Rest Areas and Truck Stops

Details

• Personal Author:
  Bunn TL ; Rock PJ ; Slavova S ; Bunn TL ; Rock PJ ; Slavova S
• Description:
  Introduction: There is ongoing concern at the national level about the availability of adequate commercial vehicle rest areas and truck stops for commercial vehicle drivers to rest or to wait for a delivery window. Methods: A retrospective case-control study was conducted to determine the association between the occurrence of sleepiness/fatigue-related (cases) vs. all other human factor-related commercial vehicle driver at-fault crashes (controls) and proximity to rest areas, weigh stations with rest havens, and truck stops. Results: Commercial vehicle driver at-fault crashes involving sleepiness/fatigue were more likely to occur on roadways where the nearest rest areas/weigh stations with rest havens/truck stops were located 20 miles or more from the commercial vehicle crash site (Odds Ratio [OR] = 2.32; Confidence Interval [CI] 1.615, 3.335] for 20-39.9 miles vs. < 20 miles; and OR = 6.788 [CI 2.112, 21.812] for 40+ miles) compared to commercial vehicle at-fault driver crashes with human factors other than sleepiness/fatigue cited in crash reports. Commercial vehicle driver at-fault crashes involving sleepiness/fatigue also were more likely to occur on parkways compared to interstates (adjusted OR = 3.747 [CI 2.83, 4.95]), during nighttime hours (adjusted OR = 6.199 [CI 4.733, 8.119]), and on dry pavement (adjusted OR 1.909, [CI 1.373, 2.655]). Conclusions: The use of statewide crash data analysis coupled with ArcGIS mapping capabilities provided the opportunity to both statistically determine and to visualize the association between rest area/weigh station with rest haven/truck stop distance and the occurrence of commercial vehicle driver at-fault crashes involving sleepiness/fatigue. Implementation and evaluation of commercial vehicle employer policies and interventions such as the use of commercial vehicle driver fatigue alert systems may help to reduce fatigue and sleepiness in commercial vehicle drivers. These results can be used by state and local highway transportation officials to inform and increase truck parking availability, especially on parkways. [Description provided by NIOSH]
• Subjects:
  Accident Prevention Accidents Accidents, Occupational Automobiles Fatigue Geographic Information Systems Mortality Occupational Health Public Health Risk Assessment Safety Sleep Sleep Initiation And Maintenance Disorders

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• Keywords:
  Accident Analysis Accident Prevention Accident Rates Accident Statistics ArcGIS Author Keywords: Commercial Vehicles Automobile Safety Crash Driver Drivers Geographic Information Systems Humans Injury Prevention Mortality Data Motor Vehicles Physiological Fatigue Public Health Rest Areas Rest Periods Risk Analysis Sleep Deprivation Sleepiness Statistical Analysis Surveillance Programs Truck Drivers Trucking Work Intervals

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• ISSN:
  0001-4575
• Document Type:
  Text
• Funding:
  Cooperative Agreement
• Genre:
  Journal Article ; Journal Article
• Place as Subject:
  Kentucky ; OSHA Region 4
• CIO:
  National Institute for Occupational Safety and Health (NIOSH) ; National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health ; Workplace Safety & Health
• Location:
  North America ; North America
• Pages in Document:
  3-9
• Volume:
  126
• NIOSHTIC Number:
  nn:20051570
• Citation:
  Accid Anal Prev 2019 May; 126:3-9
• Contact Point Address:
  Terry L. Bunn, Kentucky Injury Prevention and Research Center, University of Kentucky, College of Public Health, 333 Waller Ave., Suite 242, Lexington, KY 40504, USA
• Email:
  tlbunn2@uky.edu
• Federal Fiscal Year:
  2019
• Performing Organization:
  University of Kentucky
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Accident Analysis and Prevention
• End Date:
  20260630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:05d85e7df22c5b5316e8422d303ea75dc1678bb267f8e0e9479c3de0dcf94e20deafd7c56caf9d8ecb758c389e51d3a27e508b20f2cdbb1f66a85112e3f6f389
• Download URL:
  https://stacks.cdc.gov/view/cdc/211463/cdc_211463_DS1.pdf
• File Type:
  [PDF - 398.52 KB ]