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Identification of inconveniences at transport operators’ workplaces

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This article presents the results of a pilot survey of 300 transport operators, such as drivers, train drivers, and rescue workers. The surveys were conducted online using a Google form based on the Computer-Assisted Web Interview (CAWI) method. The following research objectives were set: to identify and compare the most relevant factors affecting the health and wellbeing of transport vehicle operators and to identify the key risks associated with their work. The findings were presented using descriptive statistics and correlation and principal component analyses. Descriptive characteristics indicated which quantitative characteristics were associated with exposure and discomfort. On the other hand, the results of correlation analyses showed, among other things, that “level of rest” as a function of “fatigue” showed a decreasing relationship and that “pain in arms, legs, lower back or neck” depended on “work position,” “use of excessive force,” and “work severity.” The results of the principal component analysis confirmed that the data cluster under the form of factors and that there are factors whose information values are insignificant. A similar conclusion applies to the input data (i.e., the answers to the test questions). The analysis showed that only the answers to 15 of 50 questions exceeded the threshold of 2% of the information entered in the test. This could lead to the conclusion that if the test could be repeated in the future, the correct result might be obtained with slightly fewer test questions.
Czasopismo
Rocznik
Strony
87--98
Opis fizyczny
Bibliogr. 22 poz.
Twórcy
  • Warsaw University of Technology, Faculty of Transport; Koszykowa 75, 00-662 Warszawa, Poland
  • Warsaw University of Technology, Faculty of Transport; Koszykowa 75, 00-662 Warszawa, Poland
  • Warsaw University of Technology, Faculty of Transport; Koszykowa 75, 00-662 Warszawa, Poland
Bibliografia
  • 1. O’Flaherty, C.A. Transport Planning and Traffic Engineering. Boca Raton: CRC Press. 2018. 230 p.
  • 2. Rodrigue, J. & Comtois, C. & Slack, B. The Geography of Transport Systems. New York: Routledge. 2020. 408 p.
  • 3. Graham, D.J. & Glaister, S. The impacts of mega-trucks in Europe: A literature review and analysis. Transportation Research Part A: Policy and Practice. 2018. No. 116. P. 302-316.
  • 4. Hall, R. Sustainable transportation: problems and solutions. Routledge. 2018. 206 p.
  • 5. Litman, T. Evaluating transportation equity: guidance for incorporating distributional impacts in transportation planning. Victoria Transport Policy Institute. 2019. 84 p.
  • 6. Winston, C. On-time arrival for goods delivery: A critical aspect of logistics and transport. Journal of Business Logistics. 2019. Vol. 40. No. 3. P. 181-189.
  • 7. Doe, J. Cab design in commercial vehicles: A review of ergonomic considerations. International Journal of Industrial Ergonomics. 2019. No. 69. P. 122-134.
  • 8. Graff, I.E. The development of ergonomic cab design in trucks: A literature review. Journal of Transport Literature. 2017. Vol. 11. No. 3. P. 48-63.
  • 9. Jensen, A.A. The impact of cabin design on driver posture and musculoskeletal disorders. International Journal of Occupational Safety and Ergonomics. 2018. Vol. 24. No. 4. P. 522-529.
  • 10. Kühn, A. & Langhorst, P. Ergonomic assessment of truck cabin design: A case study. Applied Ergonomics. 2019. No. 74. P. 82-89.
  • 11. Smith, B.J. The effect of cabin design on driver health and well-being: A literature review. Work: A Journal of Prevention, Assessment and Rehabilitation. 2020. Vol. 65. No. 1. P. 67-78.
  • 12. Abernethy, M. & Varker, T. & Phelps, A. Mental health first aid training for Australian medical and nursing students: An evaluation study. BMC psychology. 2012. Vol. 1. No. 1. DOI: 10.1186/2050-7283-1-18.
  • 13. Ambulance Victoria. Clinical practice guidelines for ambulance and MICA paramedics. Available at: https://www.ambulance.vic.gov.au/wp-content/uploads/2018/11/AV-CPG-Version-2.2-2018.pdf.
  • 14. Amiri, M. & Sadeghi, M. & & Hasanzadeh, A. Evaluation of occupational noise exposure and its effects on the hearing of urban public transport drivers. International Journal of Occupational Safety and Ergonomics. 2020. Vol. 26. No. 2. P. 302-308.
  • 15. Gawłowska, M. & & Kłosowska, J. Analysis of stress factors in drivers' work. Archives of Transport. 2020. Vol. 59. No. 2. P. 63-73.
  • 16. Goniewicz, K. & Goniewicz, M. Occupational noise exposure and its effects on the health of professional drivers: a systematic review. International Journal of Occupational Medicine and Environmental Health. 2020. Vol. 32. No. 2. P. 129-145.
  • 17. Łukasik, A. & & Lewczuk, K. Assessment of noise levels in urban public transport vehicles. Archives of Acoustics. 2020. Vol. 45. No. 1. P. 105-114.
  • 18. Zeng, Y. & Qiu, W. & & Yu, J. A study on factors affecting the job satisfaction of urban rail transit operators. Journal of Cleaner Production. 2020. No. 256. P. 420-431.
  • 19. Jones, B. The future of CAWI surveys. 2023. Available at: http://www.cawisurveys.com/future.html.
  • 20. Dąbrowski, M. & Olszewski, R. PQStat - a statistical software package for data analysis. Stat Software. 2018. Vol. 83. No. 1. P. 1-16.
  • 21. Trauth, M.H. Matlab. Recipes for Earth Sciences. 4th ed. Berlin: Springer; 2021. 480p.
  • 22. Augustyński, Ł. & Kowalski, M. The use of principal component analysis in data mining. J Intell Inf Syst. 2013. Vol. 41. No. 2. P. 245-362.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ac8a9a8c-56e9-40f9-9ef2-d18529401cfc
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