Proceedings of the 4th International Conference on New Computational Social Science (ICNCSS 2024)

Study on Passenger Travel Behavior under Abnormal Flight Based on Regret Theory

Authors
Xingyi Li1, *
1School of Economics and Management, Beijing Jiaotong University Jiaoda East Road, Beijing, China
*Corresponding author. Email: Lixy708@163.com
Corresponding Author
Xingyi Li
Available Online 29 April 2024.
DOI
10.2991/978-2-38476-230-9_19How to use a DOI?
Keywords
Abnormal Flights; Regret Theory; Behavior Choice; Multi-attribute Decision-making
Abstract

At present, there is a high occurrence of abnormal flights in China. It holds practical significance to investigate the decision-making process of passengers when faced with abnormal flight conditions, aiming to enhance service recovery and minimize airline losses. In this study, a model based on regret theory is developed to analyze passenger behavior selection when flights experience significant delays or cancellations on the Beijing-Shanghai and Beijing-Guangzhou routes. By calculating regret values for each route separately and classifying passengers accordingly, optimal solutions are determined for different scenarios of abnormal flight conditions. The actual choices made by passengers under such circumstances are obtained through questionnaires and compared with the theoretical model’s calculations. The findings demonstrate that the regret theory effectively explains passenger choice behavior.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 4th International Conference on New Computational Social Science (ICNCSS 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 April 2024
ISBN
10.2991/978-2-38476-230-9_19
ISSN
2352-5398
DOI
10.2991/978-2-38476-230-9_19How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xingyi Li
PY  - 2024
DA  - 2024/04/29
TI  - Study on Passenger Travel Behavior under Abnormal Flight Based on Regret Theory
BT  - Proceedings of the 4th International Conference on New Computational Social Science (ICNCSS 2024)
PB  - Atlantis Press
SP  - 159
EP  - 166
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-230-9_19
DO  - 10.2991/978-2-38476-230-9_19
ID  - Li2024
ER  -