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Agent-Based Evaluation of the Airplane Boarding Strategies’ Efficiency and Sustainability

Author

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  • Camelia Delcea

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest 010552, Romania)

  • Liviu-Adrian Cotfas

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest 010552, Romania)

  • Ramona Paun

    (School of Business & Technology, Webster University, Bangkok 10120, Thailand)

Abstract

The airplane turnaround time costs money to the airline companies and, over the years, it has been determined that the best way to reduce it is by using efficient boarding strategies. Many boarding strategies have been proposed but a consensus as to which is the best method has not been reached yet. The aim of this paper is to gather and test all these strategies considering the same initial conditions in order to help airline companies identify the best boarding strategy. Minimizing the costs not only contributes to airlines’ sustainability and long-term performance, but also influences their ticketing policy, and has an impact on their customers’ choices. Moreover, airports can benefit from the fact that the airline companies are optimizing their boarding strategies as they can extend the number of services offered to more airlines during one day without investing in new infrastructure. Thus, this paper considers 24 boarding strategies and builds a configurable agent-based model using NetLogo 6.0.2 to perform different simulations. The results are analysed using grey systems theory considering the aircraft dimensions, aircraft occupancy and whether or not passengers are carrying hand luggage that may need storage.

Suggested Citation

  • Camelia Delcea & Liviu-Adrian Cotfas & Ramona Paun, 2018. "Agent-Based Evaluation of the Airplane Boarding Strategies’ Efficiency and Sustainability," Sustainability, MDPI, vol. 10(6), pages 1-26, June.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1879-:d:150697
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    References listed on IDEAS

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    1. Notomista, Gennaro & Selvaggio, Mario & Sbrizzi, Fiorentina & Di Maio, Gabriella & Grazioso, Stanislao & Botsch, Michael, 2016. "A fast airplane boarding strategy using online seat assignment based on passenger classification," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 140-149.
    2. Ulrich Dorndorf & Florian Jaehn & Erwin Pesch, 2012. "Flight gate scheduling with respect to a reference schedule," Annals of Operations Research, Springer, vol. 194(1), pages 177-187, April.
    3. Eitan Bachmat & Daniel Berend & Luba Sapir & Steven Skiena & Natan Stolyarov, 2009. "Analysis of Airplane Boarding Times," Operations Research, INFORMS, vol. 57(2), pages 499-513, April.
    4. Menkes H. L. van den Briel & J. René Villalobos & Gary L. Hogg & Tim Lindemann & Anthony V. Mulé, 2005. "America West Airlines Develops Efficient Boarding Strategies," Interfaces, INFORMS, vol. 35(3), pages 191-201, June.
    5. 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.
    6. Francis Oloo & Kamran Safi & Jagannath Aryal, 2018. "Predicting Migratory Corridors of White Storks, Ciconia ciconia , to Enhance Sustainable Wind Energy Planning: A Data-Driven Agent-Based Model," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
    7. Nyquist, David C. & McFadden, Kathleen L., 2008. "A study of the airline boarding problem," Journal of Air Transport Management, Elsevier, vol. 14(4), pages 197-204.
    8. Steffen, Jason H. & Hotchkiss, Jon, 2012. "Experimental test of airplane boarding methods," Journal of Air Transport Management, Elsevier, vol. 18(1), pages 64-67.
    9. Milne, R. John & Kelly, Alexander R., 2014. "A new method for boarding passengers onto an airplane," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 93-100.
    10. Steffen, Jason H., 2008. "Optimal boarding method for airline passengers," Journal of Air Transport Management, Elsevier, vol. 14(3), pages 146-150.
    11. Wei Jiang & Jia Liu & Xiang Liu, 2016. "Impact of Carbon Quota Allocation Mechanism on Emissions Trading: An Agent-Based Simulation," Sustainability, MDPI, vol. 8(8), pages 1-13, August.
    12. 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.
    13. Xuehong Bai & Huimin Yan & Lihu Pan & He Qing Huang, 2015. "Multi-Agent Modeling and Simulation of Farmland Use Change in a Farming–Pastoral Zone: A Case Study of Qianjingou Town in Inner Mongolia, China," Sustainability, MDPI, vol. 7(11), pages 1-32, November.
    14. Bazargan, Massoud, 2007. "A linear programming approach for aircraft boarding strategy," European Journal of Operational Research, Elsevier, vol. 183(1), pages 394-411, November.
    15. Robert Tobias & Carole Hofmann, 2004. "Evaluation of free Java-libraries for social-scientific agent based simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(1), pages 1-6.
    16. 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.
    17. Kaifang Zheng & Suling Jia, 2017. "Promoting the Opportunity Identification of Industrial Symbiosis: Agent-Based Modeling Inspired by Innovation Diffusion Theory," Sustainability, MDPI, vol. 9(5), pages 1-24, May.
    18. Yingru Li & Ting Du & Jian Peng, 2018. "Understanding Out-of-Home Food Environment, Family Restaurant Choices, and Childhood Obesity with an Agent-Based Huff Model," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
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    Cited by:

    1. 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.
    2. Delcea, Camelia & Cotfas, Liviu-Adrian, 2019. "Increasing awareness in classroom evacuation situations using agent-based modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1400-1418.
    3. 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).
    4. Sun, Xiaoqian & Wandelt, Sebastian & Zheng, Changhong & Zhang, Anming, 2021. "COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane," Journal of Air Transport Management, Elsevier, vol. 94(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. 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.
    7. 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.
    8. Schultz, Michael & Evler, Jan & Asadi, Ehsan & Preis, Henning & Fricke, Hartmut & Wu, Cheng-Lung, 2020. "Future aircraft turnaround operations considering post-pandemic requirements," Journal of Air Transport Management, Elsevier, vol. 89(C).

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