Motor vehicle crashes are the major cause of worker injuries and fatalities in the oil and gas industry. The current study uses an online survey to investigate driving safety and crash risk among the oil and gas industry workers. We examine driver characteristics and attentional and cognitive abilities associated with increased crash risks and evaluate the frequency of traffic warnings, tickets, crashes, and near-crashes among this driver population. The preliminary results from this ongoing study suggest a significant link between drivers’ age, experience, and attentional and cognitive deteriorations and increased motor vehicle crash risk. The survey responses also showed that crashes involving certain types and characteristics might be particularly prevalent among this driver group.
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References
1.
AdlerL. A.SpencerT.FaraoneS. V.KesslerR. C.HowesM. J.BiedermanJ.SecnikK. (2006). Validity of pilot adult ADHD Self- Report Scale (ASRS) to rate adult ADHD symptoms. Annals of Clinical Psychiatry: Official Journal of the American Academy of Clinical Psychiatrists, 18(3), 145–148. https://doi.org/10.1080/10401230600801077
2.
BlairB.HughesJ.AllshouseW.McKenzieL.AdgateJ. (2018). Truck and multivehicle truck accidents with injuries near Colorado oil and gas operations. International Journal of Environmental Research and Public Health, 15(9), 1861. https://doi.org/10.3390/ijerph15091861
3.
BoalW.LiJ.Rodrigues-AcostaR. (2016). Seat belt use among adult workers – 21 states, 2013. Centers for Disease Control and Prevention: Morbidity and Morality Weekly Report, 65(23), 593-597.
4.
BroadbentD.E.CooperP.F.FitzGeraldP.ParkesK.R. (1982). The Cognitive Failures Questionnaire (CFQ) and its correlates. British Journal of Clinical Psychology, 21, 1-16.
5.
Di FlumeriG.BorghiniG.AricoP.SciaraffaN.LanziP.PozziS.VignaliV.LantieriC.BichicchiA.SimoneA.BabiloniF. (2018). EEG-based mental workload neurometric to evaluate the impact of different traffic and road conditions in real driving settings. Frontiers in Human Neuroscience, 12, 509. https://doi.org/10.3389/fnhum.2018.00509
FengJ.MarulandaS.DonmezB. (2014). Susceptibility to driver distraction questionnaire: development and relation to relevant self-reported measures. Transportation Research Record Journal of the Transportation Research Board. DOI:10.3141/2434-04
8.
GeorgeS.ClarkM.CrottyM. (2007). Development of the Adelaide driving self-efficacy scale. Clinical rehabilitation, 21(1), 56–61. https://doi.org/10.1177/0269215506071284
9.
HallmarkS. L.HsuY.-Y.MazeT.McDonaldT.FitzsimmonsE. (2009, January). Investigating factors contributing to large truck lane departure crashes using the Federal Motor Carrier Safety Administration’s Large Truck Crash Causation Study (LTCCS) database. https://intrans.iastate.edu/app/uploads/2018/03/lg_truck_lane_departure.pdf
10.
KesslerR.AdlerL.AmesM.DemlerO.RaraoneS.HiripiE.HowesM.JinR.SecnikK.SpencerT. (2005). The World Health Organization adult ADHD self-report scale (ASRS): A short screening scale for use in the general population. Psychological Medicine, 35(2), 245-256. doi:10.1017/S0033291704002892
PengY.BoyleL. N. (2012). Commercial driver factors in run-off-road crashes. Transportation research record, 2281(1), 128-132.
13.
ReasonJMansteadAStradlingSBaxterJCampbellK (1990) Errors and violations on the road: a real distinction?Ergonomics33:1315–1332. doi:10.1080/00140139008925335
14.
ReimerB.AmbrosioL.A.D.GilbertJ.CoughlinJ.F.BiedermanJ.SurmanC.FriedR.AleardiM. (2005). Behavior differences in drivers with attention deficit hyperactivity disorder: The driving behavior questionnaire. Accident Analysis and Prevention, 37, 996-1004.
15.
RetzerK.HillR.PrattS. (2013). Motor vehicle fatalities among oil and gas extraction workers. Accident Analysis & Prevention, 51, 168-174. https://doi.org/10.1016/j.aap.2012.11.005
SmithS.ArmstrongK.SteinhardtD.HaworthN. (2008). Early morning road crashes: the side effects of age and gender. Australasian Road Safety Research Policing and Education Conference, 623-636.
18.
The National Institute for Occupational Safety and Health (NIOSH). (2017). Fatalities in oil and gas extraction (FOG) 2017. Centers for Disease Control and Prevention. https://www.cdc.gov/niosh/topics/fog/data2017.html#Event
19.
US Bureau of Labor Statistics (BLS). (2019). Fatal occupational injuries resulting from transportation incidents and homicides, all United States, 2018. https://www.bls.gov/iif/oshwc/cfoi/cftb0323.xlsx
WangY.MaJ.WeiL. (2019). Investigating the effect of long trip on driving performance, eye blinks, and awareness of sleepiness among commercial drivers: A naturalistic driving test study. Scientia Iranica, 26(1), 95-102.
