Designing a sustainable digital control room for public transport: a comprehensive human performance measurement model

References

• Abeid, A. (2015). Investigation of workplace environment: the case of selected micro and small manufacturing enterprises in tanzania International Journal of Engineering Research and Technology (IJERT), 4(6), 74–81. ISSN 2278–0181 .
   Google Scholar
• Balfe, N., Sharples, S., & Wilson, J. R. (2015). Impact of automation: measurement of performance, workload and behaviour in a complex control environment. Applied Ergonomics, 47(1), 52–64. https://doi.org/10.1016/j.apergo.2014.08.002
   PubMed Web of Science ®Google Scholar
• Bazazan, A., Dianat, I., Mombeini, Z., Mohammad, A., Ignacio, H., & Castellucci, H. I. (2019). Effect of a posture correction. Based Intervention on Musculoskeletal Symptoms and Fatigue among Control Room Operators, 76(1), 12–19. https://doi.org/10.1016/j.apergo.2018.11.008
   Google Scholar
• Boring, R. L., Ulrich, T. A., Lew, R., Kovesdi, C. R., Al Rashdan, A. (2018). A comparison study of operator preference and performance for analog versus digital turbine control systems in control room modernization. Nuclear Technology, 205(4), 1–17 https://doi.org/10.1080/00295450.2018.1509593
   Web of Science ®Google Scholar
• Chang, Y., & Yeh, C. (2010). Human performance interfaces in air traffic control. Applied Ergonomics, 41(1), 123–129. https://doi.org/10.1016/j.apergo.2009.06.002
   PubMed Web of Science ®Google Scholar
• Coupat, R., Philippot, A., Annebicque, D., Gellot, F., & Riera, B. (2016). Automation for improve of mental workload of the systems engineer. IFAC-PapersOnLine, 49(19), 555–560. https://doi.org/10.1016/j.ifacol.2016.10.624
   Google Scholar
• David, W. (1996). Stress and performance in complex domains: a psychophysiological field study of a command-and-control system.
   Google Scholar
• Draper, N. R., & Smith, H. (2014). Selecting the “ Best ” Regression. Applied Regression Analysis, 2(I), 327–368. https://doi.org/10.1002/9781118625590.ch15
   Google Scholar
• Edwards, T., & Martin, L. (2017). The relationship between workload and performance in air traffic control. H-WORKLOAD: International Symposium on Human Mental Workload: Models and Applications June 2017. 28–30. 726 Switzerland: 2017 Springer International Publishing AG. Dublin, Ireland. 120–139 https://doi.org/10.1007/978-3-319-61061-0_8.
   Google Scholar
• Fang, W., Liu, Y., Guo, B., & Zhang, Y. (2015). OCC controller workload evaluation model and application. Procedia Manufacturing, 3(1), 3246–3253. https://doi.org/10.1016/j.promfg.2015.07.876
   Google Scholar
• Grozdanovic, M., & Janackovic, G. L. (2018). The framework for research of operators’ functional suitability and efficiency in the control room. International Journal of Industrial Ergonomics, 63(1), 65–74. https://doi.org/10.1016/j.ergon.2016.10.009
   Web of Science ®Google Scholar
• Ha, J. S., Seong, P. H., Lee, M. S., & Hong, J. H. (2007). Development of human performance measures for human factors validation in the advanced MCR of APR-1400. IEEE Transactions on Nuclear Science, 54(6), 2687–2700. https://doi.org/10.1109/TNS.2007.907549
   Web of Science ®Google Scholar
• Ickens, C. D., Hollands, J. G., Hall, P., Wickens, C. D., & Hollands, J. G. (2000). Engineering Psychology and Human Performance. Prentice-Hall.
   Google Scholar
• Jou, R., Kuo, C., & Tang, M. A. (2013). Study of job stress and turnover tendency among air traffic controllers: the mediating effects of job satisfaction. Transportation Research Part E: Logistics and Transportation Review, 57(1), 95–104. https://doi.org/10.1016/j.tre.2013.01.009
   Web of Science ®Google Scholar
• Jung, H. S., & Jung, H. (2001). Establishment of overall workload assessment technique for various tasks and workplaces. International Journal of Industrial Ergonomics, 28(6), 341–353. https://doi.org/10.1016/S0169-8141(01)00040-3
   Web of Science ®Google Scholar
• Klein, G. (1996). The effect of acute stress on decision making. Eds. James E. Driskell, Eduardo Salas. In Stress and human performance. Erlbaum 311.
   Google Scholar
• Kyriakidis, M., Majumdar, A., & Ochieng, W. Y. (2018). The human performance railway operational index — a novel approach to assess human performance for railway operations. Reliability Engineering & System Safety,170(1), 226–243. https://doi.org/10.1016/j.ress.2017.10.012
   Web of Science ®Google Scholar
• Lee, S. W., Kim, A. R., Park, J., Kang, H. G., & Seong, P. H. (2016). Measuring situation awareness of operating team in different main control room environments of nuclear power plants. Nuclear Engineering and Technology, 48(1), 153–163. https://doi.org/10.1016/j.net.2015.09.008
   Web of Science ®Google Scholar
• Lee, J., Lee, H. K., & Cho, J. H. (2015). A study on the relationship between stress and fatigue and the musculoskeletal symptoms experienced by Korean radiation workers. Journal of Physical Therapy Science, 27(2), 427–431. https://doi.org/10.1589/jpts.27.427
   PubMedGoogle Scholar
• Liu, P., & Li, Z. (2016). Comparison between conventional and digital nuclear power plant main control rooms: a task complexity perspective, part I: overall results and analysis. International Journal of Industrial Ergonomics, 51(1), 10–20. https://doi.org/10.1016/j.ergon.2014.06.011
   Web of Science ®Google Scholar
• McLauglin, J. L. (2007). Stress, fatigue and workload: determining the combined effect on human performance. University of Central Florida.
   Google Scholar
• Meshkati, N. (2006). Safety and human factors considerations in control rooms of oil and gas pipeline systems: conceptual issues and practical observations. International Journal of Occupational Safety and Ergonomics: JOSE, 12(1), 79–93. https://doi.org/10.1080/10803548.2006.11076669
   PubMed Web of Science ®Google Scholar
• Naser, J. U.S. Department of Energy (2004) Palo Alto, California: Electric Power Research Institute, Inc. Human factors guidance for control room and digital human-system interface design and modification.
   Google Scholar
• Naumann, A., Grippenkoven, J., Giesemann, S., Stein, J., & Dietsch, S. (2013). Rail human factors-human-centred design for railway systems. IFAC, 46(15) 330–332. https://doi.org/10.3182/20130811-5-US-2037.00095
   Google Scholar
• O'Hara, J. & Brown, W. United States Nuclear Regulatory Commission. (2002). The effects of interface management tasks on crew performance and safety in complex, computer-based systems. Washington, DC: U.S. Nuclear Regulatory Commission.
   Google Scholar
• Saaty, R. W. (1987). The analytical hierarchy process - what and how it is used. Mathematical Modelling, 9(3), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8
   Web of Science ®Google Scholar
• Salo, L., Savioja, P., & McAllen, R. M. (2006). Operator experiences on working in screen-based control rooms. Clinical and Experimental Pharmacology & Physiology, 33(12), 1255–1258. https://doi.org/10.1111/j.1440-1681.2006.04520.x
   PubMed Web of Science ®Google Scholar
• Sethumadhavan, A. (2011). Effects of first automation failure on situation awareness and performance in an air traffic control task proc. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2007(1), 350–354. https://doi.org/10.1177/1071181311551072
   Google Scholar
• Thomas, R. P., Willems, B., Shanteau, J., Raacke, J., & Friel, B. (2001). Measuring the performance of experts: an application to air traffic control. The Journal of Biological Chemistry, 276(5), 3408–3416. https://doi.org/10.1074/jbc.M002884200
   PubMed Web of Science ®Google Scholar
• Truschzinski, M., Betella, A., Brunnett, G., & Verschure, P. F. M. J. (2018). emotional and cognitive influences in air traffic controller tasks: an investigation using a virtual environment. Applied Ergonomics, 69(1), 1–9. https://doi.org/10.1016/j.apergo.2017.12.019
   PubMed Web of Science ®Google Scholar
• Tsao, L., Chang, J., & Ma, L. (2007). Fatigue of Chinese railway employees and its in fl uential factors: Structural equation modelling. Applied Ergonomics,62(1), 131–141. https://doi.org/10.1016/j.apergo.2017.02.021
   Google Scholar
• Wang, W., Liu, X., & Qin, Y. A. (2018). Modified heart method with FANP for human error assessment in high-speed railway dispatching tasks. International Journal of Industrial Ergonomics, 67(1), 242–258. https://doi.org/10.1016/j.ergon.2018.06.002
   Web of Science ®Google Scholar
• Weiner, J. S. (1982). The measurement of human workload. Ergonomics, 25(11), 953–965. https://doi.org/10.1080/00140138208925057
   PubMed Web of Science ®Google Scholar
• Wilson, J. R. (2014). Fundamentals of systems ergonomics/human factors. Applied Ergonomics, 45(1), 5–13. https://doi.org/10.1016/j.apergo.2013.03.021
   PubMed Web of Science ®Google Scholar
• Xu, J., Anders, S., Pruttianan, A., France, D., Lau, N., Adams, J. A., & Weinger, M. B. (2018). Human performance measures for the evaluation of process control human-system interfaces in high-fidelity simulations. Applied Ergonomics, 73(1), 151–165. https://doi.org/10.1016/j.apergo.2018.06.008
   PubMed Web of Science ®Google Scholar
• Yang, J., Kim, T., & Kim, J. (2017). Analysis of errors of commission for a ce type plant with the advanced control room in the full power condition. Annals of Nuclear Energy, 10(1), 184–195. https://doi.org/10.1016/j.anucene.2017.03.019
   Web of Science ®Google Scholar
• Zimmermann, H. J. (2011). Fuzzy set theory—and its applications. Springer Science & Business Media.
   Google Scholar
• Zou, Y., Zhang, L., Dai, L., Li, P., & Qing, T. (2017). Human reliability analysis for digitized nuclear power plants: case study on the Lingao II nuclear power plant. Nuclear Engineering and Technology, 49(2), 335–341. https://doi.org/10.1016/j.net.2017.01.011
   Web of Science ®Google Scholar