Attitudes of Metro Drivers Towards Design of Immediate Physical Environment and System Layout

Aleksandrs Rjabovs , Roberto Palacin

Urban Rail Transit ›› 2015, Vol. 1 ›› Issue (2) : 104 -111.

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Urban Rail Transit ›› 2015, Vol. 1 ›› Issue (2) : 104 -111. DOI: 10.1007/s40864-015-0020-y
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Attitudes of Metro Drivers Towards Design of Immediate Physical Environment and System Layout

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Abstract

In this study, the authors examined attitudes of the Tyne & Wear (T&W) Metro drivers towards system design-related factors and their influence on the propagation of driver-related incidents. The system design features assessed include the position of running signals, visibility of different signal types, and platform location in relation to the travelling direction. The methodology based on data gathering through a self-administered questionnaire distributed among the drivers has been used. These data have been evaluated using multivariate analysis techniques against historic data on incidents to uncover potential relationships between drivers’ perceptions and incident occurrence. The results show that the participants do not tend to consider system design factors as influential towards incident propagation. However, the analysis shows correlation between the driver responses and historical incident data such as corroboration of the increased incident propagation risks during the engineering works and the possessions.

Keywords

Urban railways / Metro / Human–system interface / Human factors / Safety / PSF

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Aleksandrs Rjabovs, Roberto Palacin. Attitudes of Metro Drivers Towards Design of Immediate Physical Environment and System Layout. Urban Rail Transit, 2015, 1(2): 104-111 DOI:10.1007/s40864-015-0020-y

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References

[1]

De Egea BG, Holgado PC, Suárez CG (2013) Humanscan®: a software solution towards the management of human reliability in the rail industry, in 4th International Conference on Rail Human Factors. CRC Press, London, pp 718–724

[2]

Gourlay C, Cole C, Rakotonirainy A (2013) Special Issue on work of the cooperative research centre for rail innovation, Australia. In: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, vol 227(5), pp 405–406

[3]

Fujino H et al (2013) Study of train drivers’ work motivation and its relationship to organisational factors in a Japanese railway company

[4]

Clarke S. Organizational factors affecting the incident reporting of train drivers. Work Stress, 1998, 12(1): 6-16

[5]

Horishita T, Yamaura K, Kanayama M (2013) Study of effective praise in train driver’s workplace, in 4th international conference on rail human factors, CRC Press, London, pp 614–620

[6]

Vatshelle Å, Moen BE. Serious on-the-track accidents experienced by train drivers: psychological reactions and long-term health effects. J Psychosom Res, 1997, 42(1): 43-52

[7]

Chang HL, Yang CY, Wu JG. Job stress and its influence on train drivers. J China Railw Soc, 2005, 27(2): 21-27.

[8]

Yum BS Symptoms of PTSD according to individual and work environment characteristics of Korean railroad drivers with experience of person-under-train accidents. J Psychosom Res, 2006, 61(5): 691-697

[9]

Jeon HJ Sleep quality, posttraumatic stress, depression, and human errors in train drivers: a population-based nationwide study in South Korea. Sleep, 2014, 37(12): 1969-1975.

[10]

De Araújo Fernandes S Jr The impact of shift work on Brazilian train drivers with different chronotypes: a comparative analysis through objective and subjective criteria. Med Princ Pract, 2013, 22(4): 390-396

[11]

Stevenson MG Assessment, re-design and evaluation of changes to the driver’s cab in a suburban electric train. Appl Ergon, 2000, 31(5): 499-506

[12]

Herriotts P. Identification of vehicle design requirements for older drivers. Appl Ergon, 2005, 36(3): 255-262

[13]

Powell JP, González-Gil A, Palacin R. Experimental assessment of the energy consumption of urban rail vehicles during stabling hours: influence of ambient temperature. Appl Therm Eng, 2014, 66(1–2): 541-547

[14]

Howard DF. Tyne and wear metro: a modern rapid transit system. Proc Inst Mech Eng Proc, 1976, 190(18): 121-136

[15]

Mackay KR (1999) Sunderland metro: challenge and opportunity. In: Proceedings of the ICE-Municipal Engineer, vol 133, pp 53–63

[16]

Fenner D. Train protection. IEE Rev, 2002, 48(5): 29

[17]

Mann HB, Whitney DR. On a test of whether one of two random variables is stochastically larger than the other. Ann Math Stat, 1947, 18: 50-60

[18]

Naweed A (2013) Simulator integration in the rail industry: the Robocop problem. In: Proceedings of the Institution of Mechanical Engineers, Part F: J Rail Rapid Transit, vol 227(5), pp 407–418

[19]

Thiffault P, Bergeron J. Monotony of road environment and driver fatigue: a simulator study. Accid Anal Prev, 2003, 35(3): 381-391

[20]

Yang HK A study concerning analysis of arousal state of locomotive engineering during operating train. Trans Korean Inst Electr Eng, 2012, 61(6): 891-898

[21]

Keun Sang P, Ohkubo T. A case study on the relationship between neuro-sensory work and work load. Comput Ind Eng, 1994, 27(1–4): 393-396

[22]

Gillham B. Developing a questionnaire, 2000, London: Continuum

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