Individual, business-related, and work environment factors associated with driving tired among taxi drivers in two metropolitan U.S. cities

Menéndez, Cammie Chaumont; Socias-Morales, Christina; Konda, Srinivas; Ridenour, Marilyn

doi:10.1016/j.jsr.2019.05.001

Cited by 15 publications

(5 citation statements)

References 28 publications

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“…Physical fatigue had the strongest direct and positive relation to driving while tired and also had a specific indirect effect between work pressure and driving while tired. When fatigue has been explored in relation to driving while tired by taxi drivers, researchers have suggested that focusing on decreasing the causes and effects of fatigue will make road safety interventions more effective (Menéndez et al, 2019). This is also suggested in the current study as organisations should try to find ways to manage time and work pressure in the organisation.…”

Section: Job Demands and Aberrant Driving Behaviourmentioning

confidence: 88%

Aberrant Driving Behaviour Among Home Health Care Workers

Nordgård¹,

Nordfjærn

2022

SSRN Journal

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Section: Job Demands and Aberrant Driving Behaviourmentioning

confidence: 88%

Aberrant Driving Behaviour Among Home Health Care Workers

Nordgård¹,

Nordfjærn

2022

SSRN Journal

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“…82 International studies of taxi drivers and other passenger driversfor-hire focus on the prevalence of fatigue-related outcomes (e.g., driving while tired, motor vehicle collisions) and risk factor identification. Established epidemiologic associations are between fatigue and motor vehicle collisions or near misses, [83][84][85][86][87][88][89][90] with shift timing, 89,90 length of working time, [87][88][89][90][91][92][93][94] and insufficient rest periods 87,90,91,95 the most frequently identified risk factors. Other risk factors include pay structure, 89 caffeine use, 90,92 optimism bias where drivers are unaware of their fatigue level, 86,91,95 deficient sleep time or quality, 88,92 working an additional job, 92 poor safety climate, high perceived job demands, and workplace violence 94 and emotional demands.…”

Section: Urban Transit and Ground Passengermentioning

confidence: 99%

“…Established epidemiologic associations are between fatigue and motor vehicle collisions or near misses, [83][84][85][86][87][88][89][90] with shift timing, 89,90 length of working time, [87][88][89][90][91][92][93][94] and insufficient rest periods 87,90,91,95 the most frequently identified risk factors. Other risk factors include pay structure, 89 caffeine use, 90,92 optimism bias where drivers are unaware of their fatigue level, 86,91,95 deficient sleep time or quality, 88,92 working an additional job, 92 poor safety climate, high perceived job demands, and workplace violence 94 and emotional demands. 96 The starting point for addressing fatigue-related risks are HOS limitations for passenger-carrying vehicles, including buses, that are set by federal regulation (49 CFR Part 395).…”

Section: Urban Transit and Ground Passengermentioning

confidence: 99%

Research gaps and needs for preventing worker fatigue in the transportation and utilities industries

Sieber

Chen

Krueger³

et al. 2022

American J Industrial Med

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Background The transportation and utilities industries include establishments engaged in the movement of passengers and freight, or the provision of public power, water, and other services. Along with the warehousing industry, they make up the US National Occupational Research Agenda's Transportation, Warehousing and Utilities (TWU) industry sector. In 2018 the sector composed 5% of the US workforce, with approximately 8 million workers. TWU workers experienced 19% of all fatalities among U.S. workers in 2018 and 7% of total occupational injuries and illnesses. Methods Around‐the‐clock operations, heavy workloads, long and irregular shifts, complicated schedules, and time pressures characterize work across the US TWU sector. However, there are considerable differences in worker priorities and concerns between TWU industries. Major areas of concern within the sector include disparities in work schedules; required training for employee fatigue awareness and prevention; physical and mental job demands; and safety culture. Results Strategies for fatigue mitigation are critical to reduce the prevalence of injuries, safety‐critical events, and crashes in TWU workers. Further research on the incidence and characterization of fatigue among TWU workers will guide the development of effective mitigation strategies. The influence of work scheduling on missed sleep opportunities and disrupted circadian rhythms should be determined. Evaluation of fatigue mitigation strategies can lead to the adoption of the most effective ones for each TWU industry. Conclusion Implementation of effective strategies is critical for the health, safety, wellbeing, and productivity of workers in the TWU sector.

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“…Drivers traveling for work show specific features, some of which constitute known accident risk factors: longer time on the road [6][7][8], fatigue or lack of rest breaks [9], time pressure [4], demands from the hierarchy or from clients [6], distraction [10]. On the other hand, professional drivers have greater driving experience and training, with specific driving licenses for certain types of vehicle.…”

Section: Introductionmentioning

confidence: 99%

The risk of road traffic crashes for occupational drivers: A responsibility study with comparison to the general population

Guibert,

Martin,

Gadegbeku

et al. 2024

WOR

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BACKGROUND: Road accidents are the leading type of work-related fatalities, but the impact of work-related travel on overall traffic safety has been scarcely studied. OBJECTIVE: The main objective of the present study was to assess drivers’ relative road accident risk between work-related and personal journeys. METHODS: A responsible/non-responsible case-control study was performed on a sample of 7,051 road accidents in France from the VOIESUR project. Logistic regression determined odds-ratios according to work-related versus personal travel, and identified risk factors for responsibility, specific to each of the two sub-groups. RESULTS: Drivers traveling on duty or commuting home were significantly less often responsible for accidents than drivers on personal journeys: OR = 0.75 [0.63; 0.89] and 0.65 [0.53; 0.80] respectively. Responsibility was significantly more frequent in commuting to versus from work: OR = 1.38 [1.06; 1.78]. Among on-duty drivers, professional passenger-transport drivers had the lowest risk of responsibility (OR = 0.25 [0.11; 0.58]), while those on temporary or work/study contracts and professional light goods vehicle drivers had the highest risk (OR = 11.64 [2.15; 62.94] and OR = 29.83 [5.19; 171.38] respectively). When driving under the influence of alcohol, risk of responsibility was higher in commuting home than in personal journeys. CONCLUSION: On-duty drivers showed lower risk of responsibility for an accident than other drivers. However, on-duty drivers on temporary or work/study contracts, who are usually not subject to specific regulations, showed higher risk, and should be the subject of particular attention regarding occupational risk prevention.

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Individual, business-related, and work environment factors associated with driving tired among taxi drivers in two metropolitan U.S. cities

Cited by 15 publications

References 28 publications

Aberrant Driving Behaviour Among Home Health Care Workers

Aberrant Driving Behaviour Among Home Health Care Workers

Research gaps and needs for preventing worker fatigue in the transportation and utilities industries

The risk of road traffic crashes for occupational drivers: A responsibility study with comparison to the general population

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