Resilience assessment and recovery of airport departure flights under severe weather

被引：0
|
作者：
Wang X. [1 ]
Zhao J. [1 ]
Wang J. [1 ]
机构：
[1] Air Traffic Control College, Civil Aviation University of China, Tianjin
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2024年 / 50卷 / 01期
基金：
中国国家自然科学基金;
关键词：
composite resilience index; departure flight operation; recovery strategy; resilience model; severe weather;
D O I：
10.13700/j.bh.1001-5965.2022.0193
中图分类号：
学科分类号：
摘要：
In order to ensure the overall performance of the airport under severe weather, scientifically evaluate the resilience of the airport's flight operations, improve flight recovery capabilities, and alleviate the impact of severe weather effectively. This article first gives the definition of airport departure flight operation. Starting from the performance of the airport departure flight operation system, it analyzes flight departure delay time, total departure delay time, departure flight normality rate and airport departure flight operation system comprehensive resilience index four indicators to evaluate the resilience changes of the system under severe weather conditions.It is important to present airport departure flight operating system's performance recovery method, to employ a genetic algorithm to optimize the order of the delayed departure flights. Finally, this article takes the “721” heavy rain event in Beijing Capital International Airport in 2012 as an example to analyze the data, obtains the performance index and resilience index of the Capital Airport under the influence of heavy rain, and compare and analyze the changes in airport departure flight operating system performance and resilience level. The results indicate that under the influence of heavy rain, the comprehensive resilience index of the airport departure flight operation system decreased from 0.457 3 to 0.062 8, and increased to 0.222 3 after the rainstorm decreased. The delay time is reduced by 24.85%, the airport performance recovery speed is increased by 13.89% after optimization, and the minimum resilience index of the optimized airport departure flight operation system is increased by 13.38%, the system performance is given priority to restore to the initial state, indicating the effectiveness of the proposed recovery strategy. © 2024 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
引用
收藏
页码：110 / 121
页数：11
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