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Experimental analyses of airplane boarding based on interference classification

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  • Ren, Xinhui
  • Xu, Xiaobing

Abstract

Passenger boarding is a key activity of flight turnover. A reduction in boarding time can benefit airlines carriers, airports, and passengers in terms of economical, operational, and customer satisfaction reasons, respectively. The study classifies seat interference and aisle interference to aid in analyzing airplane boarding. A boarding experiment was conducted in a prototype cabin with forty-eight seats to evaluate six boarding strategies and explore the impact of music on boarding and passengers' perceived time. The experimental results confirm that reserve-pyramid and outside-to-inside strategies exhibit good efficiency. In addition, the back-to-front strategy used by several airlines is inefficient; and music significantly affects the perceived time and reduces the boarding time to a certain extent. The results of the study can provide a reference for airlines to select boarding strategies and improve passenger experience.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jaitra:v:71:y:2018:i:c:p:55-63
    DOI: 10.1016/j.jairtraman.2018.06.007
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    14. Qiang, Sheng-Jie & Jia, Bin & Xie, Dong-Fan & Gao, Zi-You, 2014. "Reducing airplane boarding time by accounting for passengers' individual properties: A simulation based on cellular automaton," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 42-47.
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    Cited by:

    1. Hélio Moreira & Luís P. Ferreira & Nuno O. Fernandes & Francisco J. G. Silva & Ana L. Ramos & Paulo Ávila, 2023. "A Simulation Study of Aircraft Boarding Strategies," Mathematics, MDPI, vol. 11(20), pages 1-13, October.
    2. Camelia Delcea & Liviu-Adrian Cotfas & Nora Chiriță & Ionuț Nica, 2018. "A Two-Door Airplane Boarding Approach When Using Apron Buses," Sustainability, MDPI, vol. 10(10), pages 1-14, October.
    3. Camelia Delcea & Liviu-Adrian Cotfas & Mostafa Salari & R. John Milne, 2018. "Investigating the Random Seat Boarding Method without Seat Assignments with Common Boarding Practices Using an Agent-Based Modeling," Sustainability, MDPI, vol. 10(12), pages 1-28, December.
    4. Salari, Mostafa & Milne, R. John & Delcea, Camelia & Kattan, Lina & Cotfas, Liviu-Adrian, 2020. "Social distancing in airplane seat assignments," Journal of Air Transport Management, Elsevier, vol. 89(C).
    5. Camelia Delcea & Liviu-Adrian Cotfas & Liliana Crăciun & Anca Gabriela Molanescu, 2018. "Are Seat and Aisle Interferences Affecting the Overall Airplane Boarding Time? An Agent-Based Approach," Sustainability, MDPI, vol. 10(11), pages 1-23, November.
    6. 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).
    7. Fabrin, Bruna H.P. & Ferrari, Denise B. & Arraut, Eduardo M. & Neumann, Simone, 2024. "Towards balancing efficiency and customer satisfaction in airplane boarding: An agent-based approach," Operations Research Perspectives, Elsevier, vol. 12(C).
    8. Wittmann, Jürgen, 2019. "Customer-oriented optimization of the airplane boarding process," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 31-39.
    9. Zeineddine, Hassan, 2021. "Reducing the effect of passengers’ non-compliance with aircraft boarding rules," Journal of Air Transport Management, Elsevier, vol. 92(C).
    10. Milne, R. John & Delcea, Camelia & Cotfas, Liviu-Adrian & Salari, Mostafa, 2019. "New methods for two-door airplane boarding using apron buses," Journal of Air Transport Management, Elsevier, vol. 80(C), pages 1-1.
    11. Hélio Moreira & Luís Pinto Ferreira & Nuno O. Fernandes & Ana Luísa Ramos & Paulo Ávila, 2023. "Analysis of Boarding Strategies on an Airbus A320 Using Discrete Event Simulation," Sustainability, MDPI, vol. 15(23), pages 1-12, December.

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