Intelligent Boarding Modelling and Evaluation: A Simulation-Based Approach

The boarding efficiency is essential for all airlines due to potential competitive financial pressure. Therefore, the turnaround time needs to be cut down for a shorter boarding time. The paper devised a feasible boarding strategy which combines the management mode decision of passenger boarding wit...

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Main Authors: Lijuan Luo, Shaozhi Hong, Shanshan Shang, Xiaoli Zhou, Junyu Yang, Yu Pan
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2021/9973336
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author Lijuan Luo
Shaozhi Hong
Shanshan Shang
Xiaoli Zhou
Junyu Yang
Yu Pan
author_facet Lijuan Luo
Shaozhi Hong
Shanshan Shang
Xiaoli Zhou
Junyu Yang
Yu Pan
author_sort Lijuan Luo
collection DOAJ
description The boarding efficiency is essential for all airlines due to potential competitive financial pressure. Therefore, the turnaround time needs to be cut down for a shorter boarding time. The paper devised a feasible boarding strategy which combines the management mode decision of passenger boarding with the intelligent deployment of the operation process and will be likely to improve the efficiency of the passenger travel chain. Among which, to decrease the boarding time is an effective method. Firstly, we proposed an improved outside-in strategy, which costs shorter boarding time based on the existing outside-in strategy. However, this method requires passengers to stand in queue in advance. Secondly, we put forward a deterministic queue-ordered boarding method to improve it. Finally, we simulated and applied the strategy to a narrow-body aircraft A320 and a wide-body A380, both representative for their type of airplanes. It turns out that this strategy performs better than the current widely used method and will be able to increase boarding efficiency and thus maximize the profits of airlines.
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id doaj-art-6d7ca534074b4b9aa9dc6b011fe2b3a1
institution Kabale University
issn 0197-6729
2042-3195
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-6d7ca534074b4b9aa9dc6b011fe2b3a12025-02-03T01:04:32ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/99733369973336Intelligent Boarding Modelling and Evaluation: A Simulation-Based ApproachLijuan Luo0Shaozhi Hong1Shanshan Shang2Xiaoli Zhou3Junyu Yang4Yu Pan5School of Business and Management, Shanghai International Studies University, Shanghai, ChinaUrban Mobility Institute, Tongji University, Shanghai, ChinaSchool of Business and Management, Shanghai International Studies University, Shanghai, ChinaSchool of Business and Management, Shanghai International Studies University, Shanghai, ChinaSchool of International Relations and Public Affairs, Shanghai International Studies University, Shanghai, ChinaSchool of Business and Management, Shanghai International Studies University, Shanghai, ChinaThe boarding efficiency is essential for all airlines due to potential competitive financial pressure. Therefore, the turnaround time needs to be cut down for a shorter boarding time. The paper devised a feasible boarding strategy which combines the management mode decision of passenger boarding with the intelligent deployment of the operation process and will be likely to improve the efficiency of the passenger travel chain. Among which, to decrease the boarding time is an effective method. Firstly, we proposed an improved outside-in strategy, which costs shorter boarding time based on the existing outside-in strategy. However, this method requires passengers to stand in queue in advance. Secondly, we put forward a deterministic queue-ordered boarding method to improve it. Finally, we simulated and applied the strategy to a narrow-body aircraft A320 and a wide-body A380, both representative for their type of airplanes. It turns out that this strategy performs better than the current widely used method and will be able to increase boarding efficiency and thus maximize the profits of airlines.http://dx.doi.org/10.1155/2021/9973336
spellingShingle Lijuan Luo
Shaozhi Hong
Shanshan Shang
Xiaoli Zhou
Junyu Yang
Yu Pan
Intelligent Boarding Modelling and Evaluation: A Simulation-Based Approach
Journal of Advanced Transportation
title Intelligent Boarding Modelling and Evaluation: A Simulation-Based Approach
title_full Intelligent Boarding Modelling and Evaluation: A Simulation-Based Approach
title_fullStr Intelligent Boarding Modelling and Evaluation: A Simulation-Based Approach
title_full_unstemmed Intelligent Boarding Modelling and Evaluation: A Simulation-Based Approach
title_short Intelligent Boarding Modelling and Evaluation: A Simulation-Based Approach
title_sort intelligent boarding modelling and evaluation a simulation based approach
url http://dx.doi.org/10.1155/2021/9973336
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AT shaozhihong intelligentboardingmodellingandevaluationasimulationbasedapproach
AT shanshanshang intelligentboardingmodellingandevaluationasimulationbasedapproach
AT xiaolizhou intelligentboardingmodellingandevaluationasimulationbasedapproach
AT junyuyang intelligentboardingmodellingandevaluationasimulationbasedapproach
AT yupan intelligentboardingmodellingandevaluationasimulationbasedapproach