中国民航大学学报 ›› 2021, Vol. 39 ›› Issue (4): 25-31.

• 民用航空 • 上一篇    下一篇

大型机场复杂航线网络稳定性评估

王兴隆  ,薛依晨  ,安智财   

  1. (1. 中国民航大学空中交通管理学院,天津 300300;2. 中国民用航空西北地区空中交通管理局甘肃分局,兰州 730000) 
  • 收稿日期:2020-11-06 修回日期:2020-11-06 接受日期:2020-09-08 出版日期:2021-08-25 发布日期:2021-12-03
  • 作者简介:王兴隆(1979—),男,黑龙江北安人,研究员,硕士,研究方向为空中交通流量管理.
  • 基金资助:
    国家自然科学基金项目(61571441);国家重点基础研究发展计划项目(2016YFB0502405);空中交通管理系统与技术国家重点实验室开放 基金项目(SKLATM201705);中央高校基本科研业务费专项(3122019191);2019 年天津市研究生科研创新项目(2019YJSS082)

Stability assessments of complex airways network for large airport 

WANG Xinglong , XUE Yichen , AN Zhicai    

  1. ( 1. College of Air Traffic Management, CAUC, Tianjin 300300, China; 2. Gansu Sub-branch of Northwese Air Traffic Control Burean, CAAC, Lanzhou 730000, China )
  • Received:2020-11-06 Revised:2020-11-06 Accepted:2020-09-08 Online:2021-08-25 Published:2021-12-03

摘要: 评估大型机场航线复杂网络的稳定性对于航线网络优化设计、减少航班延误均具有重要意义。首先定义航线网络的稳定性,然后结合复杂网络和稳定性等基础理论,提出航线稳定性、节点稳定性、城市对、枢纽机场的概念,采集航班延误数据,确定以延误传播距离、延误机场数量和机场延误次数为稳定性评估指标。选 取 2018 年旅客年吞吐量千万级以上机场共 35 个,分别建立城市对航线网络和枢纽航线网络,统计一周内的航线延误数据并基于此计算评估指标,最后运用统计学方法对航线网络的稳定性进行对比分析。结果表明,在相同情况下,城市对航线网络与枢纽航线网络的最高绝对延误次数分别为 1 417、496 次,枢纽航线 网络比城市对航线网络更稳定。

关键词: 大型机场, 航线网络, 复杂网络, 稳定性, 航班延误

Abstract: Assessing the stability of complex networks on large airport airways is of great significance for airway network design, emergency response, and flight delay reducing. Firstly, the airway network stability is defined. Then, based on the basic theories such as complex network and stability, the airway stability, node stability, city pair, hub airport indicators, flight delay data are collected, the stability evaluation index is determined based on the propagation delay distance, the number of delayed airports and the number of airport delays. A total of 35 airports with an annual passenger throughput of more than 10 million in 2018 are selected. The city-to-airway network and hub-airway network are respectively established. The airway delay statistics within a week are conducted and the evaluation indicators are calculated. Finally, statistical methods are used to compare and analyze the stability of airline network. Results show that under the same circumstances, the maximum numbers of the absolute delays of the city-to-airway network and the hub airway network are respectively 1 417 and 496. Thus the hub airway network is more stable than the city-to-airway network.

Key words: large airport, airline network, complex network, stability, flight delay

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