The taxi industry: working conditions and health of drivers, a literature review

Poó, Fernando Martín; Ledesma, Rubén Daniel; López, Soledad Susana

doi:10.1080/01441647.2017.1370035

Cited by 25 publications

(29 citation statements)

References 63 publications

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“…Partnering with local police or transportation departments to institute “no drive” rules in the event of disorderly passenger behavior may be an additional intervention. However, some of these factors may not be prevented, such as angry/unfriendly passenger behavior, or the potential increased competition presented by transportation ride sharing businesses, such as Uber, Lyft, or Grab …”

Section: Discussionmentioning

confidence: 99%

“…The cost of living in San Francisco is one of the highest in the United States, driven by high housing costs, and therefore financial stressors expressed by the drivers may be unique to this location. These data were collected before the introduction of the Uber‐Lyft‐Grab ride‐sharing economy, and may not be reflective of today's taxi environment . And, null findings, for example, unfair treatment due to race, nationality, or sex not significantly associated with depression symptoms, may be the result of small sample sizes.…”

Section: Discussionmentioning

confidence: 99%

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Associations between daily‐on‐the job hassles with perceived mental exertion and depression symptoms in taxi drivers

Burgel

Elshatarat

2019

American J Industrial Med

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Introduction Taxi drivers experience frequent hassles that may contribute to mental exertion and depression symptoms. Aim Mental exertion and depression symptoms in taxi drivers are explored in association with hassles, effort‐reward imbalance, job strain, and iso‐strain. Methods Personal interviews were conducted with 130 drivers in San Francisco. Results Mental exertion averaged 4.5 (±2.68) and physical exertion averaged 3.71 (±2.1) on 0 to 10 Borg scales. Based on the Center for Epidemiological Studies‐Depression scale, 38% had depression symptoms. Mental exertion and depression symptoms correlated with job strain, iso‐strain and effort‐reward imbalance in anticipated directions, lending construct validity to the Borg mental exertion scale. Physical exertion, night shift, stressful personal events, and being uninsured for healthcare predicted mental exertion. Lack of respect by dispatchers and stressful personal events predicted depression symptoms. Conclusion Selected hassles may be remedied by communication trainings, emphasizing mutual respect. Recognition and treatment of depression in taxi drivers are important.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Associations between daily‐on‐the job hassles with perceived mental exertion and depression symptoms in taxi drivers

Burgel

Elshatarat

2019

American J Industrial Med

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“…Firstly, taxi drivers drive in a work-related context [8]. A small body of studies have investigated an occupational context [6,9], and most of them have examined the driving behaviour among the general driving population.…”

Section: Introductionmentioning

confidence: 99%

Aberrant Driving Behaviour, Risk Involvement, and Their Related Factors Among Taxi Drivers

Vahedi

Mohaymany

Tabibi

et al. 2018

IJERPH

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The current study aims to investigate the aberrant driving behaviour and risk involvement of Iranian taxi drivers. The sample comprised 405 Iranian taxi drivers, who were recruited with a cross-sectional design, using a self-completion questionnaire survey during October and November 2016. We contribute to the literature by understanding how and to what extent the socioeconomic, demographic, driving, and aberrant driving behaviours influence risk involvement (accident involvement and traffic tickets). The validated 27-item Driver Behaviour Questionnaire (DBQ) was applied to measure aberrant driving behaviour. The results from valid observations (n = 381) explored a four-factor solution (including errors, ordinary violations, lapses, and aggressive violations) of the DBQ. The results also showed that being a single driver, having a high annual driving mileage, and a high number of daily taxi trips were positively associated with accident involvement. Furthermore, there was a positive correlation between the more ordinary violations and aggressive violations and accident involvement. Establishing better training and qualification mechanisms for taxi drivers could be considered by traffic safety experts in order to reduce ordinary and aggressive violations.

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“…(v) Taxi reviews. Poó et al (2018) [77] reviewed the working conditions of taxi drivers, their relationship to road risk exposure, and their consequences on the health of workers, indicating that it is necessary for taxi drivers to pay more attention to their health. Skok et al (2019) [78] reviewed the taxi literature and private hire industry in London and identified six key research themes, including disruptive innovation, the sharing economy, business models, historical context, regulations, and labour.…”

Section: Taxi Service Improvementmentioning

confidence: 99%

Multiple Utility Analyses for Sustainable Public Transport Planning and Management: Evidence from GPS-Equipped Taxi Data in Haikou

Gui

2020

Sustainability

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The transportation utility values calculated by traditional utility methods are not comprehensive. Some objects and factors are ignored in traditional utility methods, and this narrow perspective is their primary drawback. In intelligent transportation systems, it is necessary to calculate transportation utility for promoting public traffic planning and management. To build a sustainable intelligent transportation system, modified utility methods are essential to analyze transportation utility in a comprehensive way with innovative technologies and efficient communication systems. To solve the disadvantages of traditional utility methods, it is necessary to establish a new method to build sustainable public transport in the future. In this study, the Multiple Utility Method and Transportation Utility Method are proposed for public transport planning and management from multiple perspectives. A sample is presented to provide a better description, and 69,174 GPS-equipped taxi data in Haikou are adopted for the application of the Transportation Utility Method. The results show that the transportation utility values calculated by the Transportation Utility Method are more comprehensive than the transportation utility calculated by traditional utility methods. This indicates that it is necessary to calculate transportation utility from multiple perspectives based on the Transportation Utility Method. Future directions could include improving the methods, considering more factors, expanding the data used, and extrapolating this research to other cities around the world with similar urban metrics and urban form.

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The taxi industry: working conditions and health of drivers, a literature review

Cited by 25 publications

References 63 publications

Associations between daily‐on‐the job hassles with perceived mental exertion and depression symptoms in taxi drivers

Associations between daily‐on‐the job hassles with perceived mental exertion and depression symptoms in taxi drivers

Aberrant Driving Behaviour, Risk Involvement, and Their Related Factors Among Taxi Drivers

Multiple Utility Analyses for Sustainable Public Transport Planning and Management: Evidence from GPS-Equipped Taxi Data in Haikou

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