Next Article in Journal
Can Agriculture Balance Its Energy Consumption and Continue to Produce Food? A Framework for Assessing Energy Neutrality Applied to French Agriculture
Previous Article in Journal
Correlation between Transit-Oriented Development (TOD), Land Use Catchment Areas, and Local Environmental Transformation
Open AccessArticle

Investigating the Random Seat Boarding Method without Seat Assignments with Common Boarding Practices Using an Agent-Based Modeling

1
Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania
2
Department of Civil Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada
3
David D. Reh School of Business, Clarkson University, 333 B.H. Snell Hall, Potsdam, NY 13699, USA
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(12), 4623; https://doi.org/10.3390/su10124623
Received: 6 November 2018 / Revised: 24 November 2018 / Accepted: 3 December 2018 / Published: 5 December 2018
(This article belongs to the Section Economic and Business Aspects of Sustainability)
Research related to creating new and improved airplane boarding methods has seen continuous advancement, in recent years, while most of the airline companies have remained committed to the traditional boarding methods. Among the most-used boarding methods, around the world, are back-to-front and random boarding with and without assigned seats. While the other boarding methods used in practice possess strict rules for passengers’ behavior, random without assigned seats is dependent on the passengers own way of choosing the “best” seats. The aim of this paper is to meticulously model the passengers’ behavior, especially, in random boarding without assigned seats and to test its efficiency in terms of boarding time and interferences, in comparison with the other commonly-adopted methods (random boarding with assigned seats, window-middle-aisle (WilMA), back-to-front, reverse pyramid, etc.). One of the main challenges in our endeavor was the identification of the real human passengers’ way of reasoning, when selecting their seats, and creating a model in which the agents possess preferences and make decisions, as close to those decisions made by the human passengers, as possible. We model their choices based on completed questionnaires from three hundred and eighty-seven human subjects. This paper describes the resulting agent-based model and results from the simulations. View Full-Text
Keywords: airplane boarding; agent-based modeling; human choice modeling; boarding strategies; NetLogo airplane boarding; agent-based modeling; human choice modeling; boarding strategies; NetLogo
Show Figures

Figure 1

MDPI and ACS Style

Delcea, C.; Cotfas, L.-A.; Salari, M.; Milne, R.J. Investigating the Random Seat Boarding Method without Seat Assignments with Common Boarding Practices Using an Agent-Based Modeling. Sustainability 2018, 10, 4623. https://doi.org/10.3390/su10124623

AMA Style

Delcea C, Cotfas L-A, Salari M, Milne RJ. Investigating the Random Seat Boarding Method without Seat Assignments with Common Boarding Practices Using an Agent-Based Modeling. Sustainability. 2018; 10(12):4623. https://doi.org/10.3390/su10124623

Chicago/Turabian Style

Delcea, Camelia; Cotfas, Liviu-Adrian; Salari, Mostafa; Milne, R. J. 2018. "Investigating the Random Seat Boarding Method without Seat Assignments with Common Boarding Practices Using an Agent-Based Modeling" Sustainability 10, no. 12: 4623. https://doi.org/10.3390/su10124623

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop