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Estimation of the innovative technologies influence on passengers processing procedures at the airport

Ivannikova, Viktoriia orcid logoORCID: 0000-0001-7967-4769, Shenchuk, Dmytro, Konovalyuk, Valentyna, Borets, Iryna and Vysotska, Irina (2022) Estimation of the innovative technologies influence on passengers processing procedures at the airport. In: 10th International Conference on Air Transport – INAIR 2021, Towards Aviation Revival, 3-4 November 2021, Sliema, Malta. ISBN 2352-1465

Abstract
In the period of coronovirus pandemic, a particularly important tasks of the airport are to reduce the time of passengers processing at check-in counters, baggage drop-off points and passport control counters, as well as to minimize contacts between people. All this can be achieved due to the implementation of the self-service check-in systems for passengers and their baggage, automatic boarding, self-service kiosks for reporting about lost baggage, etc. Insufficient number of processing points leads to forced delays, formation of passengers congestion at restricted areas. The article demonstrates how to use the queuing theory models to estimate the impact of the newest technologies on passengers processing at the airport. The automatic passengers check-in system has been considered as an example of the innovative technology for air passengers processing. Efficiency of the automatic passengers check-in system with self-service bag drop points implementation at the largest international airport of Western Ukraine Danylo Halytskyi International Airport Lviv has been proved, using queing systems models.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:airport; passengers processing; conventional check-in; self-service check-in; queuing theory; modeling; efficiency
Subjects:Business > Innovation
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
Published in: Transportation Research Procedia. 59. Elsevier BV. ISBN 2352-1465
Publisher:Elsevier BV
Official URL:https://www.sciencedirect.com/science/article/pii/...
ID Code:30415
Deposited On:15 Oct 2024 14:19 by Vidatum Academic . Last Modified 15 Oct 2024 14:19
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