Skip to main content

A Qualitative Study on the Workload of High-Speed Railway Dispatchers

  • Conference paper
  • First Online:
Engineering Psychology and Cognitive Ergonomics (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12767))

Included in the following conference series:

Abstract

In this study, we sought to make an initial exploration to extract the factors that can influence the workload of Chinese high-speed railway (HSR) dispatchers. We also evaluated whether it is applicable to use the Integrated Workload Scale (IWS) scale in this context. By conducting in-depth interviews with five experienced dispatchers, we found that the main factors affecting the workload of high-speed railway dispatchers are the section complexity, the traffic flow, the abnormal situations, and usability of human-computer interfaces. We also found the original IWS scale may not be suitable to assess the workload of Chinese high-speed railway dispatchers due to the differences in work arrangement, equipment, organizational culture, and language. We discussed several ways to reduce the workload of HSR dispatchers and the possible ways to revise this workload measurement in this new context.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zhou, X., Yao, D., Zhu, M., Zhang, X., Zhang, Z.: Vigilance detection method for high-speed rail using wireless wearable EEG collection technology based on low-rank matrix decomposition. IET Intel. Transp. Syst. 12(8), 819–825 (2018). https://doi.org/10.1049/iet-its.2017.0239

    Article  Google Scholar 

  2. Young, M.S., Brookhuis, K.A., Wickens, C.D., Hancock, P.A.: State of science: mental workload in ergonomics. Ergonomics 58(1), 1–17 (2015). https://doi.org/10.1080/00140139.2014.956151

    Article  Google Scholar 

  3. Roth, E.M., Malsch, N., Multer, J., Coplen, M.: Understanding how railroad dispatchers manage and control trains: a cognitive task analysis of a distributed team planning task. Hum. Factors Ergon. Soc. Annu. Meet. Proc. 43(3), 218–222 (1999). https://doi.org/10.1177/154193129904300319

    Article  Google Scholar 

  4. McDonald, W.: Train controllers interface design and mental workload. In: Noyes, J., Bransby, M. (Eds.), People in Control, The Institution of Electrical Engineers, London, UK, pp. 239–258 (2001)

    Google Scholar 

  5. Reinach, S.: Preliminary development of a railroad dispatcher task load assessment tool: identification of dispatcher tasks and data collection methods. Technical Report No. DOT/FRA/ORD-07–13. U.S. Department of Transportation Federal Railroad Administration Office of Research and Development, Washington, DC, USA (2007)

    Google Scholar 

  6. Helbig, L.: A Field Study of Work Demands on Railway Traffic Dispatchers in Centralised Centres (eds.). In: The Proceedings of 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering and The 3rd International Conference on Maintenance Engineering, vol. III, pp.458–461 (2012)

    Google Scholar 

  7. Weeda, C., Zeilstra, M.P., Nadashi, N., Scott, A., Mills, A.: Prediction of mental workload of monitoring tasks. In: Nadashi, N., Scott, A., Wilson, J.R., Mills, A., Rail Human Factors Supporting reliability, safety and cost reduction, Proceedings of the Fourth International Conference on Rail Human Factors, London. pp. 633–640 (2013). https://doi.org/10.1201/b13827-83

  8. Brennan, S.D.: An experimental report on rating scale descriptor sets for the instantaneous self assessment (ISA) recorder. DRA Technical Memorandum (CAD5) 92017, DRA Maritime Command and Control Division, Portsmouth (1992)

    Google Scholar 

  9. Pickup, L., Wilson, J., Nichols, S., Mitchell, L., Morrisroe, G.: The integrated workload scale (IWS): a new self report tool to assess railway signaller workload. Appl. Ergon. 36, 681–694 (2006). https://doi.org/10.1016/j.apergo.2005.05.004

    Article  Google Scholar 

  10. Bethel, C.L., Murphy, R.R.: Review of Human Studies Methods in HRI and Recommendations. Int. J. Soc. Robot. 2(4), 347–359 (2010). https://doi.org/10.1007/s12369-010-0064-9

    Article  Google Scholar 

  11. China Railway Corporation, Railway technical management regulations. China Railway Publishing House (2014). (in Chinese)

    Google Scholar 

  12. Chengdu Railway Bureau, Emergency handling operation manual (2020). (in Chinese)

    Google Scholar 

  13. Zhang, J., E, X., Du, F., Yang, J., Loft, S.: The Difficulty to Break a Relational Complexity Network Can Predict Air Traffic Controllers’ Mental Workload and Performance in Conflict Resolution. Human Factors, (2019). https://doi.org/10.1177/0018720819880646

  14. Majumdar, A., Ochieng, W.Y.: Air traffic control complexity and safety: framework for sector design based on controller interviews of complexity factors. Trans. Res. Rec. Trans. Res. Board 2007(1), 70–80 (2007). https://doi.org/10.3141/2007-09

    Article  Google Scholar 

  15. Loft, S., Sanderson, P., Neal, A., Mooij, M.: Modeling and predicting mental workload in en route air traffic control: critical review and broader implications. Hum. Factors 49(3), 376–399 (2007). https://doi.org/10.1518/001872007X197017

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jingyu Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chen, Z., Guo, Z., Feng, G., Shi, L., Zhang, J. (2021). A Qualitative Study on the Workload of High-Speed Railway Dispatchers. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2021. Lecture Notes in Computer Science(), vol 12767. Springer, Cham. https://doi.org/10.1007/978-3-030-77932-0_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-77932-0_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77931-3

  • Online ISBN: 978-3-030-77932-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics