Safety and regulations restricting the hours of driving of goods vehicle drivers

McDonald, N

doi:10.1080/00140138108924869

Cited by 16 publications

(5 citation statements)

References 6 publications

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“…Despite these shortcomings, the findings tie in well with previous research. As noted earlier, links between long hours at the wheel and fatigue, and between fatigue and accident rates have been documented both in the United States (Harris and Mackie, 1972;Mackie and Miller, 1978) and Europe (Fuller, 1978;Hamelin, 1987;McDonald, 1981McDonald, , 1984. The results here also suggest that job demands are linked to reductions in driver health, notably when mediated by inappropriate attempts at coping.…”

Section: Discussionmentioning

confidence: 82%

“…Possible links between driving hours, fatigue, performance and health for long-distance drivers of heavy vehicles have not been fully explored. Field studies and statistical analyses of truck driver accident data have proliferated recently in the literature (Fuller, 1978(Fuller, , 1984Hamelin, 1987;McDonald, 1981McDonald, , 1984Miller, 1976). Studies of city bus drivers are now also appearing (Evans, Palsane and Carere, 1987;Mulders, Meijman, O'Hanlon and Mulder, 1982;Pokorny, Blom and van Leeuwen, 1987).…”

Section: Long-distance Driving Fatigue and Performancementioning

confidence: 99%

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Work stress among long‐distance coach drivers: A survey and correlational study

Raggatt

1991

J Organ Behavior

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This paper presents findings from an Australian survey of work conditions, coping behaviors and stress among 93 long-distance coach drivers. A tripartite model of coach driver stress is presented. The model proposes that the impacts of job demands (e.g. driving hours) on work-related stress outcomes (e.g. doctor visits) are mediated by a set of maladaptive coping behaviors and responses (e.g. stimulant use, speeding). Correlational analyses of the survey data provided general support for the model. Results suggested that long driving hours provide the single best predictor of maladaptive behaviors such as stimulant use and sleep disturbance among the drivers. The maladaptive behaviors, in turn, consistently predicted stress outcomes such as doctor visits and symptom reports. Direct correlations between job demands and stress outcomes were also consistent with the model, but the correlations were of a lower magnitude. The data suggests that stimulant use and sleep disturbance may be important mediators in the link between job demands and stress outcomes for long-distance coach drivers. Path modelling with larger samples is recommended for future research along the present lines. Implications for work practices within the long-distance transport industry are briefly considered. I wish to thank the coach captains and supervisors who assisted with this study. The work was supported by a James Cook University SRG grant.Requests for reprints should be sent to Peter T. F. Raggatt, P. T. F. RAGGATT WORK STRESS AMONG LONG-DISTANCE COACH DRIVERS 567and night driving appear to be linked to fatigue and accident vulnerability, and field studies suggest that extended driving is typically a stressful task. Little is known, however, about the long-term impacts of driving demands on employee health and well-being.

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Section: Discussionmentioning

confidence: 82%

Section: Long-distance Driving Fatigue and Performancementioning

confidence: 99%

Work stress among long‐distance coach drivers: A survey and correlational study

Raggatt

1991

J Organ Behavior

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“…This contributory factor interacts with circadian rhythmicity and with time on task. Contributions to driving fatigue from sleep loss or disturbance will be a function largely of irregular working hours among professional drivers and of commercial pressures on them to complete a journey, even when they are feeling excessively fatigued, which may tempt them to exceed their legally permi tted hours of driving (see McDonald, 1981).…”

Section: Discussionmentioning

confidence: 99%

Driver Fatigue

1994

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Psychological fatigue is defined as a subjectively experienced disinclination to continue performing the task at hand. It generally impairs human efficiency when individuals continue working after they have become aware of their fatigue. It does not depend on energy expenditure and cannot be measured simply in terms of performance impairment. The interacting causal contributions to fatigue are the length of continuous work spells and daily duty periods, time available for rest and continuous sleep, and the arrangement of duty, rest, and sleep periods within each 24-h cycle. Empirical evidence for the separate and combined effects of these factors on fatigue, performance decrement, and accident risk are briefly reviewed, and the implications of these findings for driving and road safety are considered, with particular reference to the professional driver. This study shows that fatigue is insufficiently recognized and reported as a cause of road accidents and that its effects stem largely from prolonged and irregular working hours, rather than simply from time spent at the wheel.

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“…Many police departments are also chronically understaffed and need scheduling flexibility to meet demands for service. Furthermore, the efficacy of hours-of-service regulations to manage fatigue and improve safety in an operation is continuously being challenged (McDonald, 1981; Jones et al , 2005; Gander et al , 2015; Honn et al , 2019). Operations such as aviation and rail have developed fatigue risk management systems as an alternative, more comprehensive risk management approach for addressing fatigue in the operation while also increasing scheduling flexibility.…”

Section: Discussionmentioning

confidence: 99%

Fatigue and short-term unplanned absences among police officers

Riedy

Dawson

Fekedulegn

et al. 2020

PIJPSM

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PurposeThe purpose of this paper is to assess whether shift work, sleep loss and fatigue are related to short-term unplanned absences in policing.Design/methodology/approachN = 367 police officers from the Buffalo Police Department were studied. Day-by-day work and sick leave data were obtained from the payroll. Absenteeism was defined as taking a single sick day on a regularly scheduled workday. Biomathematical models of fatigue (BMMF) predicted officers' sleep–wake behaviors and on-duty fatigue and sleepiness. Prior sleep, fatigue and sleepiness were tested as predictors of absenteeism during the next shift.FindingsA total of 513,666 shifts and 4,868 cases of absenteeism were studied. The odds of absenteeism increased as on-duty fatigue and sleepiness increased and prior sleep decreased. This was particularly evident for swing shift officers and night shift officers who were predicted by BMMF to obtain less sleep and have greater fatigue and sleepiness than day shift officers. The odds of absenteeism were higher for female officers than male officers; this finding was not due to a differential response to sleep loss, fatigue or sleepiness.Practical implicationsAbsenteeism may represent a self-management strategy for fatigue or compensatory behavior to reduced sleep opportunity. Long and irregular work hours that reduce sleep opportunity may be administratively controllable culprits of absenteeism.Originality/valuePolice fatigue has consequences for police officers, departments and communities. BMMF provide a potential tool for predicting and mitigating police fatigue. BMMF were used to investigate the effects of sleep and fatigue on absenteeism.

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Safety and regulations restricting the hours of driving of goods vehicle drivers

Cited by 16 publications

References 6 publications

Work stress among long‐distance coach drivers: A survey and correlational study

Work stress among long‐distance coach drivers: A survey and correlational study

Driver Fatigue

Fatigue and short-term unplanned absences among police officers

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