2,189
Views
1
CrossRef citations to date
0
Altmetric
Articles

Driver fatigue in taxi, ride-hailing, and ridesharing services: a systematic review

, , &
Pages 572-590 | Received 12 Mar 2023, Accepted 20 Oct 2023, Published online: 05 Nov 2023

References

  • Accident Research Centre. (2020). World-first study tests distraction and fatigue in drivers https://www.monash.edu/muarc/news-and-events/articles/world-first-study-tests-distraction-and-fatigue-in-drivers.
  • Ahlström, C., Anund, A., Fors, C., & Åkerstedt, T. (2018). Effects of the road environment on the development of driver sleepiness in young male drivers. Accident Analysis & Prevention, 112, 127–134. https://doi.org/10.1016/j.aap.2018.01.012
  • Aromataris, E., & Munn, Z. (eds.). (2020). JBI manual for evidence synthesis. JBI. https://synthesismanual.jbi.global.
  • Bartel, E., MacEachen, E., Reid-Musson, E., Meyer, S. B., Saunders, R., Bigelow, P., Kosny, A., & Varatharajan, S. (2019). Stressful by design: Exploring health risks of ride-share work. Journal of Transport & Health, 14, 100571. https://doi.org/10.1016/j.jth.2019.100571
  • Behara, K., Paz, A., Arndt, O., & Baker, D. (2021). A random parameters with heterogeneity in means and Lindley distribution to analyze crash data with excessive zeros: A case study of head-on heavy vehicle crashes in Queensland. Accident Analysis and Prevention, 160.
  • Berg, J. (2015). Income security in the on-demand economy: Findings and policy lessons from a survey of crowdworkers. Comparative Labor Law & Policy Journal, 37, 543–576.
  • Berger, T., Chen, C., & Frey, C. B. (2018). Drivers of disruption? Estimating the Uber effect. European Economic Review, 110, 197–210. https://doi.org/10.1016/j.euroecorev.2018.05.006
  • Berneking, M., Rosen, I. M., Kirsch, D. B., Chervin, R. D., Carden, K. A., Ramar, K., Aurora, R. N., Kristo, D. A., Malhotra, R. K., & Martin, J. L. (2018). The risk of fatigue and sleepiness in the ridesharing industry: An American Academy of Sleep Medicine position statement. Journal of Clinical Sleep Medicine, 14(4), 683–685. https://doi.org/10.5664/jcsm.7072
  • Bouwhuis, S., De Wind, A., De Kruif, A., Geuskens, G. A., Van der Beek, A., Bongers, P., & Boot, C. R. (2018). Experiences with multiple job holding: A qualitative study among Dutch older workers. BMC Public Health, 18(1), 1–12. https://doi.org/10.1186/s12889-018-5841-7
  • Brown, I. D. (1994). Driver fatigue. Human Factors, 36(2), 298–314. https://doi.org/10.1177/001872089403600210
  • Chen, T., Oviedo-Trespalacios, O., Sze, N., & Chen, S. (2022). Distractions by work-related activities: The impact of ride-hailing app and radio system on male taxi drivers. Accident Analysis & Prevention, 178, 106849. https://doi.org/10.1016/j.aap.2022.106849
  • Christie, N., & Ward, H. (2019). The health and safety risks for people who drive for work in the gig economy. Journal of Transport & Health, 13, 115–127. https://doi.org/10.1016/j.jth.2019.02.007
  • Chu, H.-C. (2020). Risky behaviors of older taxi drivers and suggested requirements for renewing their professional driver’s licenses. Transportation Research Interdisciplinary Perspectives, 8, 100272. https://doi.org/10.1016/j.trip.2020.100272
  • Contreras, S. D., & Paz, A. (2018). The effects of ride-hailing companies on the taxicab industry in Las Vegas, Nevada. Transportation Research Part A: Policy and Practice, 115, 63–70. https://doi.org/10.1016/j.tra.2017.11.008
  • Cook, J. (2015). Uber’s internal charts show how its driver-rating system actually works. Insider. https://www.businessinsider.com/leaked-charts-show-how-ubers-driver-rating-system-works-2015-2.
  • Crain, T. L., Brossoit, R. M., Robles-Saenz, F., & Tran, M. (2020). Fighting fatigue: A conceptual model of driver sleep in the gig economy. Sleep Health, 6(3), 358–365. https://doi.org/10.1016/j.sleh.2020.02.004
  • Dalziel, J. R., & Job, R. S. (1997). Motor vehicle accidents, fatigue and optimism bias in taxi drivers. Accident Analysis & Prevention, 29(4), 489–494. https://doi.org/10.1016/S0001-4575(97)00028-6
  • Dang, S., Cao, S., Li, J., & Zhang, X. (2022). Dynamic incentive mechanism design for regulation-aware systems. International Journal of Intelligent Systems, 37(2), 1299–1321. https://doi.org/10.1002/int.22670
  • Dawson, D., & McCulloch, K. (2005). Managing fatigue: It’s about sleep. Sleep Medicine Reviews, 9(5), 365–380. https://doi.org/10.1016/j.smrv.2005.03.002
  • Dawson, D., Searle, A. K., & Paterson, J. L. (2014). Look before you (s)leep: Evaluating the use of fatigue detection technologies within a fatigue risk management system for the road transport industry. Sleep Medicine Reviews, 18(2), 141–152. https://doi.org/10.1016/j.smrv.2013.03.003
  • Desmond, P. A., & Hancock, P. A. (2000). Active and passive fatigue states. In Peter A. Hancock & Paula A. Desmond (Eds.), Stress, workload, and fatigue (pp. 455–465). CRC Press.
  • Facey, M. E. (2003). The health effects of taxi driving. Canadian Journal of Public Health, 94(4), 254–257. https://doi.org/10.1007/BF03403545
  • Gastaldi, M., Rossi, R., & Gecchele, G. (2014). Effects of driver task-related fatigue on driving performance. Procedia - Social and Behavioral Sciences, 111, 955–964. https://doi.org/10.1016/j.sbspro.2014.01.130
  • Glöss, M., McGregor, M., & Brown, B. (2016). Designing for labour: Uber and the on-demand mobile workforce. Proceedings of the 2016 CHI conference on human factors in computing systems, New York, USA. https://doi.org/10.1145/2858036.2858476
  • Hall, J. V., & Krueger, A. B. (2018). An analysis of the labor market for Uber’s driver-partners in the United States. ILR Review, 71(3), 705–732. https://doi.org/10.1177/0019793917717222
  • Hancock, P. A., & Desmond, P. A. (2001). Stress, workload, and fatigue. Mahwah Lawrence Erlbaum Associates Publishers.
  • Higgins, J. S., Michael, J., Austin, R., Akerstedt, T., Van Dongen, H. P., Watson, N., Czeisler, C., Pack, A. I., & Rosekind, M. R. (2017). Asleep at the wheel: A national compendium of efforts to eliminate drowsy driving. Sleep, 40(2). https://doi.org/10.1093/sleep/zsx001
  • Hill, L., Baird, S., Torres, K., Obrochta, C., & Jain, P. (2021). A survey of distracted driving and electronic device use among app-based and taxi drivers. Traffic Injury Prevention, 22(1), S27–S31. https://doi.org/10.1080/15389588.2021.1935905
  • Husain, N. A., Mohamad, J., & Idris, M. A. (2019). Daily emotional demands on traffic crashes among taxi drivers: fatigue and safety motivation as mediators. IATSS Research, 43(4), 268–276. https://doi.org/10.1016/j.iatssr.2019.03.001
  • Hussain, M., & Shi, J. (2022). Modelling and examining the influence of predictor variables on the road crashes in functionally classified vehicles in Pakistan. International Journal of Crashworthiness, 27(4), 1118–1127. https://doi.org/10.1080/13588265.2021.1909839
  • Icasiano, C. D. A., & Taeihagh, A. (2021). Governance of the risks of ridesharing in Southeast Asia: An in-depth analysis. Sustainability, 13(11), 6474. https://doi.org/10.3390/su13116474
  • ILO. (2016). Non-standard employment around the world: Understanding challenges, shaping prospects. International Labour Organization. http://www.ilo.org/global/publications/books/WCMS_534326/lang–en/index.htm.
  • Irwin, M. R., Olmstead, R., Carrillo, C., Sadeghi, N., FitzGerald, J. D., Ranganath, V. K., & Nicassio, P. M. (2012). Sleep loss exacerbates fatigue, depression, and pain in rheumatoid arthritis. Sleep, 35(4), 537–543. https://doi.org/10.5665/sleep.1742
  • Jarrahi, M. H., & Sutherland, W. (2019). Algorithmic management and algorithmic competencies: Understanding and appropriating algorithms in gig work. iConference.
  • Jaydarifard, S., Smith, S. S., Mann, D., Rossa, K. R., Salehi, E. N., Srinivasan, A. G., & Soleimanloo, S. S. (2023). Precarious employment and associated health and social consequences; A systematic review. Australian and New Zealand Journal of Public Health, 47(4), 100074. https://doi.org/10.1016/j.anzjph.2023.100074
  • Kang, L., Zhao, Y., & Meng, Q. (2022). An empirical study of taxi crashes in Singapore. Asian Transport Studies, 8, 100056. https://doi.org/10.1016/j.eastsj.2022.100056
  • Kent, J. L., Crane, M., Waidyatillake, N., Stevenson, M., & Pearson, L. (2023). Urban form and physical activity through transport: A review based on the d-variable framework. Transport Reviews, 43(4), 726–754. https://doi.org/10.1080/01441647.2023.2165575
  • Li, M. K., Yu, J. J., Ma, L., & Zhang, W. (2019). Modeling and mitigating fatigue-related accident risk of taxi drivers. Accident Analysis & Prevention, 123, 79–87. https://doi.org/10.1016/j.aap.2018.11.001
  • Lim, S. M., & Chia, S. E. (2015). The prevalence of fatigue and associated health and safety risk factors among taxi drivers in Singapore. Singapore Medical Journal, 56(2), 92. https://doi.org/10.11622/smedj.2014169
  • Liu, C. C., Hosking, S. G., & Lenné, M. G. (2009). Predicting driver drowsiness using vehicle measures: Recent insights and future challenges. Journal of Safety Research, 40(4), 239–245. https://doi.org/10.1016/j.jsr.2009.04.005
  • Lock, A., Bonetti, D., & Campbell, A. (2018). The psychological and physiological health effects of fatigue. Occupational Medicine, 68(8), 502–511. https://doi.org/10.1093/occmed/kqy109
  • Mabry, J. E., Glenn, T. L., & Hickman, J. S. (2019). Commercial motor vehicle operator fatigue detection technology catalog and review. Virginia Tech Transportation Institute.
  • Mahajan, K., & Velaga, N. R. (2022). Effects of partial sleep deprivation: A comparative assessment of young non-professional and professional taxi drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 85, 209–220. https://doi.org/10.1016/j.trf.2022.01.008
  • Mao, H., Deng, X., Jiang, H., Shi, L., Li, H., Tuo, L., Shi, D., & Guo, F. (2021). Driving safety assessment for ride-hailing drivers. Accident Analysis & Prevention, 149, 105574. https://doi.org/10.1016/j.aap.2020.105574
  • Marani, H., Roche, B., Anderson, L., Rai, M., Agarwal, P., & Martin, D. (2020). The impact of working conditions on the health of taxi drivers in an urban metropolis. International Journal of Workplace Health Management, 13(6), 671–686. https://doi.org/10.1108/IJWHM-03-2020-0027
  • Marcus, J. H., & Rosekind, M. R. (2017). Fatigue in transportation: NTSB investigations and safety recommendations. Injury Prevention, 23(4), 232–238. https://doi.org/10.1136/injuryprev-2015-041791
  • May, J. F., & Baldwin, C. L. (2009). Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies. Transportation Research Part F: Traffic Psychology and Behaviour, 12(3), 218–224. https://doi.org/10.1016/j.trf.2008.11.005
  • Menéndez, C., Socias-Morales, C., Konda, S., & Ridenour, M. (2019). Individual, business-related, and work environment factors associated with driving tired among taxi drivers in two metropolitan US cities. Journal of Safety Research, 70, 71–77. https://doi.org/10.1016/j.jsr.2019.05.001
  • Meng, F., Li, S., Cao, L., Li, M., Peng, Q., Wang, C., & Zhang, W. (2015). Driving fatigue in professional drivers: A survey of truck and taxi drivers. Traffic Injury Prevention, 16(5), 474–483. https://doi.org/10.1080/15389588.2014.973945
  • Meng, F., Wong, S., Yan, W., Li, Y., & Yang, L. (2019). Temporal patterns of driving fatigue and driving performance among male taxi drivers in Hong Kong: A driving simulator approach. Accident Analysis & Prevention, 125, 7–13. https://doi.org/10.1016/j.aap.2019.01.020
  • Peng, Z., Wang, Y., & Truong, L. T. (2022). Individual and combined effects of working conditions, physical and mental conditions, and risky driving behaviors on taxi crashes in China. Safety Science, 151, 105759. https://doi.org/10.1016/j.ssci.2022.105759
  • Peng, Z., Zhang, H., & Wang, Y. (2020). Work-related factors, fatigue, risky behaviours and traffic accidents among taxi drivers: A comparative analysis among age groups. International Journal of Injury Control and Safety Promotion, 28(1), 58–67. https://doi.org/10.1080/17457300.2020.1837885
  • Phillips, R. O., Kecklund, G., Anund, A., & Sallinen, M. (2017). Fatigue in transport: A review of exposure, risks, checks and controls. Transport Reviews, 37(6), 742–766. https://doi.org/10.1080/01441647.2017.1349844
  • Poó, F. M., Ledesma, R. D., & López, S. S. (2018). The taxi industry: Working conditions and health of drivers, a literature review. Transport Reviews, 38(3), 394–411. https://doi.org/10.1080/01441647.2017.1370035
  • Rani, U., Dhir, R. K., & Gobel, N. (2023). Work on online labour platforms: Does formal education matter?. In Ursula Huws & Rosalind Gill (Eds.), Platformization and informality: Pathways of change, alteration, and transformation (pp. 47–87). Palgrave Macmillan.
  • Rani, U., Gobel, N., & Dhir, R. K. (2022). Is flexibility and autonomy a myth or reality on taxi platforms? Comparison between traditional and app-based taxi drivers in developing countries. In Valerio De Stefano, Ilda Durri, Charalampos Stylogiannis, & Mathias Wouters (Eds.), A Research Agenda for the Gig Economy and Society (pp. 167–192). Edward Elgar Publishing.
  • Rayle, L., Dai, D., Chan, N., Cervero, R., & Shaheen, S. (2016). Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco. Transport Policy, 45, 168–178. https://doi.org/10.1016/j.tranpol.2015.10.004
  • Sharot, T. (2011). The optimism bias. Current Biology, 21(23), R941–R945. https://doi.org/10.1016/j.cub.2011.10.030
  • Shi, J., Tao, L., Li, X., Xiao, Y., & Atchley, P. (2014). A survey of taxi drivers’ aberrant driving behavior in Beijing. Journal of Transportation Safety & Security, 6(1), 34–43. https://doi.org/10.1080/19439962.2013.799624
  • Smith, S. S., Horswill, M. S., Chambers, B., & Wetton, M. (2009). Hazard perception in novice and experienced drivers: The effects of sleepiness. Accident Analysis & Prevention, 41(4), 729–733. https://doi.org/10.1016/j.aap.2009.03.016
  • Tejero Gimeno, P., Pastor Cerezuela, G., & Choliz Montanes, M. (2006). On the concept and measurement of driver drowsiness, fatigue and inattention: Implications for countermeasures. International Journal of Vehicle Design, 42(1–2), 67–86. https://doi.org/10.1504/IJVD.2006.010178
  • Uber Team. (2020). Driving while tired or fatigued. https://www.uber.com/en-AU/blog/fatigue-management/.
  • Wang, P. C., & Delp, L. (2014). Health status, job stress and work-related injury among Los Angeles taxi drivers. Work, 49(4), 705–712. https://doi.org/10.3233/WOR-131696
  • Wang, Y., Li, L., & Prato, C. G. (2019). The relation between working conditions, aberrant driving behaviour and crash propensity among taxi drivers in China. Accident Analysis & Prevention, 126, 17–24. https://doi.org/10.1016/j.aap.2018.03.028
  • Williamson, A., Lombardi, D. A., Folkard, S., Stutts, J., Courtney, T. K., & Connor, J. L. (2011). The link between fatigue and safety. Accident Analysis & Prevention, 43(2), 498–515. https://doi.org/10.1016/j.aap.2009.11.011
  • Wood, A. J. (2021). Algorithmic management consequences for work organisation and working condition. https://joint-research-centre.ec.europa.eu/publications/algorithmic-management-consequences-work-organisation-and-working-conditions_en.
  • Wood, Z., Parry, G., Carruthers, J., & Rose, K. (2017). Assessing the impact of digital innovations in the London transportation network. Project Report. UWE Repository. http://eprints.uwe.ac.uk/31047.
  • World Health Organization (WHO). (2020). Road safety. OECD Publishing. https://doi.org/10.1787/65afc565-en