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Grey clustering of the variations in the back-to-front airplane boarding method considering COVID-19 flying restrictions

Camelia Delcea (Faculty of Economic Cybernetics, Statistics and Informatics, Bucharest University of Economic Studies, Bucharest, Romania)
Liviu-Adrian Cotfas (Faculty of Economic Cybernetics, Statistics and Informatics, Bucharest University of Economic Studies, Bucharest, Romania)
R. John Milne (David D. Reh. School of Business, Clarkson University, Potsdam, New York, USA)
Naiming Xie (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Rafał Mierzwiak (Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland)

Grey Systems: Theory and Application

ISSN: 2043-9377

Article publication date: 11 March 2021

Issue publication date: 3 January 2022

171

Abstract

Purpose

The airline industry has been significantly hit by the occurrence of the new coronavirus SARS-CoV-2, facing one of its worst crises in history. In this context, the present paper analyses one of the well-known boarding methods used in practice by the airlines before and during the coronavirus outbreak, namely back-to-front and suggests which variations of this method to use when three passenger boarding groups are considered and a jet bridge connects the airport terminal with the airplane.

Design/methodology/approach

Based on the importance accorded by the airlines to operational performance, health risks, and passengers' comfort, the variations in three passenger groups back-to-front boarding are divided into three clusters using the grey clustering approach offered by the grey systems theory.

Findings

Having the clusters based on the selected metrics and considering the social distance among the passengers, airlines can better understand how the variations in back-to-front perform in the new conditions imposed by the novel coronavirus and choose the boarding approach that better fits its policy and goals.

Originality/value

The paper combines the advantages offered by grey clustering and agent-based modelling for offering to determine which are the best configurations that offer a reduced boarding time, while accounting for reduced passengers' health risk, measured through three indicators: aisle risk, seat risk and type-3 seat interferences and for an increased comfort for the passengers manifested through a continuous walking flow while boarding.

Keywords

Citation

Delcea, C., Cotfas, L.-A., Milne, R.J., Xie, N. and Mierzwiak, R. (2022), "Grey clustering of the variations in the back-to-front airplane boarding method considering COVID-19 flying restrictions", Grey Systems: Theory and Application, Vol. 12 No. 1, pp. 25-59. https://doi.org/10.1108/GS-11-2020-0142

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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