Advances in Economics, Management and Political Sciences

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

Series Vol. 63 , 28 December 2023


Open Access | Article

The Analysis of Slot Optimization Based on the Top Trading Cycle Method in China Hub Airport

Haoting Xie * 1
1 Guangzhou NO.2 Middle School, Guangzhou, 510040, China

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 63, 117-125
Published 28 December 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Haoting Xie. The Analysis of Slot Optimization Based on the Top Trading Cycle Method in China Hub Airport. AEMPS (2023) Vol. 63: 117-125. DOI: 10.54254/2754-1169/63/20231389.

Abstract

China's aviation industry is facing a scarcer development space. In the absence of means to enhance airport capacity, airport slots have been attached great importance as a scarce resource. Due to the lagging development of China's aviation industry and its detailed fields, slot allocation in China is unscientific, and as a scarce resource, slot utilization in China has much room for improvement. After analyzing the current situation of China's slot allocation system, imperfect laws, regulations and slow marketization process, this paper proposes that the construction of the secondary market can be a substitute for China in the process of exploring the primary market mode, which can be used to significantly improve the utilization and efficiency of slot resources temporarily. This paper introduces in detail the operation method of the Top Trading Cycle (TTC) algorithm and the Top Trading Cycle-Collaborative Decision Making (TTC-CDM) algorithm in the slot allocation secondary market and the short-term potential of solving slot resource shortage, which provides directional guidance for the development space of China's aviation industry.

Keywords

TTC, slot allocation, airport congestion, market design

References

1. IATA Pressroom. (2022) IATA - Air Passenger Numbers to Recover in 2024.

2. Wang, H.L. and Sun, W. (2021) Research on Slot Resource Allocation and Management Mechanisms in Busy Airports. Aviation Think Tank.

3. Babic, D. and Kalic, M. (2011) Modeling the Estimation of the Airline Profit in Case of Purchasing New Slots for Increasing Flight Frequency. Procedia Social and Behavioral Sciences, 20, 1069-1079.

4. Matthews, B. and Menaz, B. (2003) Airport Capacity: The Problem of Slot Allocation. Working Paper, 1, 1-2.

5. Moessner, P. (2005) Slot Allocation in the United States and Europe. Montreal: McGill University.

6. Xu, M.C. (2020) Research on Legislative Improvement in Distribution System of Airport Slot in China. Nanjing: Nanjing University of Aeronautics and Astronautics, 20-21.

7. Roth, A.E. (2007) The Art of Designing Markets. Harvard Business Review, 85: 11-18.

8. Castelli, L., Pesenti, R. and Ranieri, A. (2011) The Design of a Market Mechanism to Allocate Air Traffic Flow Management Slots. Transportation Research Part C: Emerging Technologies, 19, 931-943.

9. Lloyd, S. and Scarf, H. (1974) On Cores and Indivisibility. Journal of mathematical economics, 1, 23-37.

10. Augusto, M., Souza D.S., Li, W.G. and Garcia, R.C. (2018) Stable Two-sided Matching of Slot Allocation in Airport Collaborative Decision-making by Top Trading Cycles Mechanism. Chinese Journal of Aeronautics, 1, 534-545.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
ISBN (Print)
978-1-83558-227-5
ISBN (Online)
978-1-83558-228-2
Published Date
28 December 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/63/20231389
Copyright
28 December 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated