ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Slot allocation of multi-airport system considering airport fairness
Received date: 2022-03-29
Revised date: 2022-04-02
Accepted date: 2022-04-06
Online published: 2022-04-12
Supported by
National Natural Science Foundation of China(U2033203)
Optimal airport slot allocation is a significant means of airport demand and capacity management, and has always been a research focus in the field of air traffic. Existing research mainly considers the constraints of airport capacity and flight operations, and optimizes the allocation of arrival and departure flight slots at a single airport, with the goal of maximizing the use of airport capacity while meeting the needs of airlines as much as possible. With the construction of multi-airport system in China, the contradiction between the airports in the same multi-airport system competing for key airspace resources has become increasingly prominent. Optimizing the slot allocation of each airport individually may result in congestion of flights from different airports at key airspace points, causing flight delays. Taking airport and airspace resources into consideration to optimize flight schedules is one of the keys to improving the utilization efficiency of multi-airport resources. In particular, the rational allocation of flight slots considering inter-airport fairness is critical, but little work has been done. This paper firstly establishes a multi-objective flight slot allocation optimization model considering airport capacity and airspace capacity to realize the optimal utilization of multi-airport system's resources. Then, a comprehensive consideration of the needs of each airport at potential departure conflict waypoints is given to construct a peak demand-based inter-airport fairness index and overall measurement, which take into account the functional positioning of each member airport in the multi-airport system. Finally, the validity and scalability of the model are proved by the actual flight data of the five airports in the Guangdong-Hong Kong-Macao Greater Bay Area, showing that the model proposed can provide critical reference for research on fairness of various stakeholders of the multi-airport system.
Xiaoyu SHUI , Yanjun WANG , Ziming WANG , Mingtian PENG , Qiang SUN . Slot allocation of multi-airport system considering airport fairness[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(8) : 327212 -327212 . DOI: 10.7527/S1000-6893.2022.27212
1 | 中国民用航空局. 关于进一步深化民航改革工作的意见[R]. 北京:中国民用航空局, 2016. |
Civil Aviation Administration of China. Opinions on further deepening the reform of civil aviation[R]. Beijing: Civil Aviation Administration of China, 2016 (in Chinese). | |
2 | 中国民用航空局. 中国民用航空发展第十三个五年规划[R]. 北京:中国民用航空局, 2017. |
Civil Aviation Administration of China. The 13th Five-Year Plan for China's civil aviation development [R]. Beijing: Civil Aviation Administration of China, 2017 (in Chinese). | |
3 | ZOGRAFOS K G, SALOURAS Y, MADAS M A. Dealing with the efficient allocation of scarce resources at congested airports[J]. Transportation Research Part C, 2012, 21(1): 244-256. |
4 | JACQUILLAT A, ODONI A R. An integrated scheduling and operations approach to airport congestion mitigation[J]. Operations Research, 2015, 63(6): 1390-1410. |
5 | PYRGIOTIS N, ODONI A R. On the Impact of Scheduling Limits:A case study at Newark liberty international airport[J]. Transportation Science, 2016, 50(1):150-165. |
6 | RIBEIRO N A, JACQUILLAT A, ANTUNES A P, et al. An optimization approach for airport slot allocation under IATA guidelines[J]. Transportation Research Part B: Methodological, 2018, 112: 132-156. |
7 | ZOGRAFOS K G, ANDROUTSOPOULOS K N, MADAS M A. Minding the gap: Optimizing airport schedule displacement and acceptability[J]. Transportation Research Part A: Policy and Practice, 2018, 114: 203-221. |
8 | 胡明华, 朱晶波, 田勇. 多元受限的航班时刻优化模型与方法研究[J].南京航空航天大学学报, 2003(03):326-332. |
HU M H, ZHU J B, TIAN Y. Research of multi-restrict airline schedule optimization model and method[J]. Journal of Nanjing University of Aeronautics and Astronautics,2003(03):326-332 (in Chinese). | |
9 | CASTELLI L, PELLEGRINI P, PESENTI R. Airport slot allocation in Europe: Economic efficiency and fairness[J]. International journal of revenue management, 2012, 6(1-2): 28-44. |
10 | PELLEGRINI P, CASTELLI L, PESENTI R. Secondary trading of airport slots as a combinatorial exchange[J]. Transportation Research Part E Logistics and Transportation Re-view, 2012, 48(5):1009–1022. |
11 | COROLLI L, LULLI G, NTAIMO L. The time slot allocation problem under uncertain capacity[J]. Transportation Research Part C: Emerging Technologies, 2014. |
12 | PELLEGRINI, PAOLA, PESENTI, et al. SOSTA: An effective model for the simultaneous optimisation of airport slot allocation[J]. Transportation research, Part E. Logistics and transportation review, 2017, 99C(Mar.):34-53. |
13 | BENLIC U. Heuristic search for allocation of slots at net-work level[J]. Transportation Research Part C: Emerging Technologies, 2018, 86: 488-509. |
14 | 刘继新, 江灏, 董欣放, 等. 基于空中交通密度的进场航班动态协同排序方法[J]. 航空学报, 2020, 41(07):285-300. |
LIU J X, JIANG H, DONG X F, et al. Dynamic col-laborative sequencing method for arrival flights based on air traffic density[J]. Acta Aeronautica et Astronauti-ca Sinica, 2020, 41(07):285-300 (in Chinese). | |
15 | ZOGRAFOS K, JIANG Y. Modelling and solving the airport slot scheduling problem with efficiency, fairness, and accessibility considerations[J]. 2016. |
16 | ZOGRAFOS K G, JIANG Y. Modelling fairness in slot sche-duling decisions at capacity-constrained airports[C] ∥96th Transportation Research Board Annual Meeting. Washington, D.C.: Transportation Research Board, 2017. |
17 | ZOGRAFOS K G, JIANG Y. A Bi-objective efficiency-fairness model for scheduling slots at congested airports[J]. Transportation Research Part C: Emerging Technologies, 2019, 102: 336-350. |
18 | JACQUILLAT A, VAZE V. Interairline equity in airport scheduling interventions[J]. Transportation Science, 2018, 52(4): 941-964. |
19 | FAIRBROTHER J, ZOGRAFOS K G, GLAZEBROOK K D. A slot-scheduling mechanism at congested airports that incorporates efficiency, fairness, and airline preferences[J]. Transportation Science, 2020, 54(1): 115-138. |
20 | FAIRBROTHER J, ZOGRAFOS K. Introducing flexibility and demand-based fairness in slot scheduling decisions[C]∥Odysseus 2018 Seventh International Workshop on Freight Transportation and Logistics. 2018. |
21 | JIANG Y, ZOGRAFOS K G. A decision making frame-work for incorporating fairness in allocating slots at capacity-constrained airports[J]. Transportation Research Part C: Emerging Technologies, 2021, 126: 103039. |
22 | CLARKE J P B, BROOKS J, MCCLAIN E, et al. Investigation, modeling, and analysis of integrated metroplex arrival and departure coordination concepts:NASA/CR-2012-217344[R]. Washington, D.C: NASA, 2012. |
23 | GINI C. Variabilità e mutabilità: Contributo allo studio delle distribuzioni e delle relazioni statistiche[M]. Bologa:Tipogr.di P.Cuppini,1912 (in Italian). |
24 | 中国民用航空局. 民航航班正常统计办法: CCAR-93-R5 [S]. 北京:中国民用航空局, 2012. |
Civil Aviation Administration of China. Measures for normal statistics of civil aviation flights: CCAR-93-R5 [S]. Beijing: Civil Aviation Administration of China, 2012 (in Chinese). |
/
〈 |
|
〉 |