Literature DB >> 30274744

Determining the likelihood that fatigue was present in a road accident: A theoretical review and suggested accident taxonomy.

Drew Dawson1, Amy C Reynolds2, Hans P A Van Dongen3, Matthew J W Thomas1.   

Abstract

Estimates in developed countries of the extent to which fatigue contributes to road accidents range from as low as 5% to as high as 50% of all accidents. Compared with other causes of road accidents (e.g., speeding, drink-driving), the variability in these estimates is exceptionally high and may be indicative of the difficulty in determining the likelihood of fatigue as a cause of road accidents. This review compares differences in the way road accidents are classified as fatigue-related (or not) by expert panels and road safety regulators, highlighting conflicting conceptual approaches, lack of consistency, and the poor psychometric qualities of classification rules used across jurisdictions. In order to facilitate future research, the review then proposes a new theoretical approach and a potentially more logical accident 'taxonomy'. A putative accident 'taxonomy' is proposed using two dimensions: (1) estimating the likelihood that a driver was fatigued at the time of the accident, and (2) estimating the degree to which accident phenomenology is consistent with fatigue-related error. This 'taxonomy' could assist accident investigators and road safety regulators to more reliably quantify the contribution of fatigue to road accidents, and may also assist researchers and regulators in the post-hoc interrogation of existing accident databases to better determine the relative incidence of fatigue-related road accidents.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Accident investigation; Alertness; Circadian misalignment; Microsleeps; Road accidents; Road safety; Sleep loss; Workplace health and safety

Mesh:

Year:  2018        PMID: 30274744     DOI: 10.1016/j.smrv.2018.08.006

Source DB:  PubMed          Journal:  Sleep Med Rev        ISSN: 1087-0792            Impact factor:   11.609


  3 in total

1.  Guiding principles for determining work shift duration and addressing the effects of work shift duration on performance, safety, and health: guidance from the American Academy of Sleep Medicine and the Sleep Research Society.

Authors:  Indira Gurubhagavatula; Laura K Barger; Christopher M Barnes; Mathias Basner; Diane B Boivin; Drew Dawson; Christopher L Drake; Erin E Flynn-Evans; Vincent Mysliwiec; P Daniel Patterson; Kathryn J Reid; Charles Samuels; Nita Lewis Shattuck; Uzma Kazmi; Gerard Carandang; Jonathan L Heald; Hans P A Van Dongen
Journal:  J Clin Sleep Med       Date:  2021-11-01       Impact factor: 4.062

2.  Risk Factors for Sleepiness at the Wheel and Sleep-Related Car Accidents Among Patients with Obstructive Sleep Apnea: Data from the French Pays de la Loire Sleep Cohort.

Authors:  AbdelKebir Sabil; Remi Bignard; Chloé Gervès-Pinquié; Pierre Philip; Marc Le Vaillant; Wojciech Trzepizur; Nicole Meslier; Frédéric Gagnadoux
Journal:  Nat Sci Sleep       Date:  2021-10-05

3.  Essential…but also vulnerable? Work intensification, effort/reward imbalance, fatigue and psychological health of Spanish cargo drivers during the COVID-19 pandemic.

Authors:  Luis Montoro; Boris Cendales; Francisco Alonso; Adela Gonzalez-Marin; Ignacio Lijarcio; Javier Llamazares; Sergio A Useche
Journal:  PeerJ       Date:  2022-03-08       Impact factor: 2.984

  3 in total

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