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A passenger distribution analysis model for the perceived time of airplane boarding/deboarding, utilizing an ex-Gaussian distribution

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  • Miura, Ayako
  • Nishinari, Katsuhiro

Abstract

This study focused on modeling the perceived time of boarding/deboarding. We conducted an experiment to understand how passengers in the study assessed boarding/deboarding times. According to the results of the analysis, the passenger distribution that took a ratio between perceived time and measured time as a variable was positively skewed. This distribution indicated that the proportion of the passengers for whom perceived time was longer than measured time varied depending on the experimental conditions. Based on this analysis, we have employed an ex-Gaussian distribution to develop a model. The model has revealed that the parameter Ï„, which expressed the length of the ex-Gaussian distribution tail, varied depending on the load factor, seat pitch, and boarding/deboarding methods. By changing these factors, it will be possible to shorten perceived time for certain passengers whose perceived time of boarding/deboarding is longer than measured time.

Suggested Citation

  • Miura, Ayako & Nishinari, Katsuhiro, 2017. "A passenger distribution analysis model for the perceived time of airplane boarding/deboarding, utilizing an ex-Gaussian distribution," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 44-49.
    • Handle: RePEc:eee:jaitra:v:59:y:2017:i:c:p:44-49
    DOI: 10.1016/j.jairtraman.2016.11.010
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    References listed on IDEAS

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    1. Van Landeghem, H. & Beuselinck, A., 2002. "Reducing passenger boarding time in airplanes: A simulation based approach," European Journal of Operational Research, Elsevier, vol. 142(2), pages 294-308, October.
    2. Steffen, Jason H. & Hotchkiss, Jon, 2012. "Experimental test of airplane boarding methods," Journal of Air Transport Management, Elsevier, vol. 18(1), pages 64-67.
    3. Steffen, Jason H., 2008. "Optimal boarding method for airline passengers," Journal of Air Transport Management, Elsevier, vol. 14(3), pages 146-150.
    4. Arnold van Exel, Nicolaas Jacob & Rietveld, Piet, 2010. "Perceptions of public transport travel time and their effect on choice-sets among car drivers," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 75-86.
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    Citations

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    Cited by:

    1. Michael Schultz & Jörg Fuchte, 2020. "Evaluation of Aircraft Boarding Scenarios Considering Reduced Transmissions Risks," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    2. Ren, Xinhui & Zhou, Xiyu & Xu, Xiaobing, 2020. "A new model of luggage storage time while boarding an airplane: An experimental test," Journal of Air Transport Management, Elsevier, vol. 84(C).
    3. Tang, Tie-Qiao & Yang, Shao-Peng & Ou, Hui & Chen, Liang & Huang, Hai-Jun, 2018. "An aircraft boarding model accounting for group behavior," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 182-189.
    4. Michael Schultz & Michael Schmidt, 2018. "Advancements in Passenger Processes at Airports from Aircraft Perspective," Sustainability, MDPI, vol. 10(11), pages 1-15, October.
    5. Wittmann, Jürgen, 2019. "Customer-oriented optimization of the airplane boarding process," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 31-39.
    6. Ren, Xinhui & Xu, Xiaobing, 2018. "Experimental analyses of airplane boarding based on interference classification," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 55-63.

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