Research on the TTC-CDM Algorithm in Collaboration Decision Making of the Airport Slot

Yuhan Wang

doi:10.54254/2754-1169/64/20231524

Research Article

Open access

Published on 28 December 2023

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Wang,Y. (2023). Research on the TTC-CDM Algorithm in Collaboration Decision Making of the Airport Slot. Advances in Economics, Management and Political Sciences,64,156-162.

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Research on the TTC-CDM Algorithm in Collaboration Decision Making of the Airport Slot

Yuhan Wang *^,1,

¹ Jinan Foreign Language School

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/64/20231524

Abstract

With the growing of the globalization, the civil aviation grew in popularity, the air transport industry has witnessed significant growth driven by advancements in science and technology. This progress has also led to the emergence of resource allocation inefficiencies at many airports. Apart from building more runways and airports, lifting the efficiency of existing capacities is a much more cost-effective strategy, where Top Trading Cycle (TTC) algorithm is a prospective solution. This study’s application of TTC to the slot allocation problem is different from conventional TTC. Conventional Top Trading Cycle considers preferences of unilateral agents. In this study, there are two different kinds of agents that have their own preferences, airlines with flights and airport managers owning the slots. Therefore, this research's objective is to implement TTC to the slot allocation while respecting preferences of both sides, TTC-CDM algorithm would be useful. This study discussed this algorithm by performing a case study with modelling situation of airport slot allocation in a particular moment. Ultimately, the result of this case study is Pareto efficient.

Keywords

TTC, collaboration decision making, differed acceptance, pareto efficiency

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References

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Cite this article

Wang,Y. (2023). Research on the TTC-CDM Algorithm in Collaboration Decision Making of the Airport Slot. Advances in Economics, Management and Political Sciences,64,156-162.

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About volume

Volume title: Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

Conference website: https://2023.icftba.org/

ISBN：978-1-83558-229-9(Print) / 978-1-83558-230-5(Online)

Conference date: 8 November 2023

Editor：Javier Cifuentes-Faura

Series: Advances in Economics, Management and Political Sciences

Volume number: Vol.64

ISSN：2754-1169(Print) / 2754-1177(Online)

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