河北科技大学学报2025，Vol.46Issue(2)：151-160,10.DOI:10.7535/hbkd.2025yx02004
基于复杂网络传播动力学的航班延误传播特性分析
Analysis of flight delay propagation characteristics based on complex network propagation dynamics
摘要
Abstract
In order to address the problem that the existing susceptible-infected-recovered(SIR)model does not consider the impact of the topology of the airport network on the flight delay propagation,the topological characteristic index of the airport network was calculated based on the complex network theory.The comprehensive importance of each airport was evaluated by using the entropy weighted technique for order preference by similarity to ideal solution(TOPSIS)method,and all airports were divided into several classes,thus the improved SIR model for the flight delay propagation of airports in different classes was established and the propagation thresholds of the model were solved.Taking the Chinese airport network in 2023 as an example,all airports were classified into five categories,and an improved SIR model was used to simulate the flight delay propagation of airports under different initial conditions.The simulation results show that the improved SIR model is more suitable for simulating delay propagation.The higher the comprehensive importance of an airport,the wider the delay propagation range becomes,the faster the speed is,and the longer the recovery period lasts.The delay propagation ability of E-class airports is significantly improved,when flights from multiple airports are delayed.The topology of the airport network has an inhibitory effect on the delay propagation,and it is difficult for delays to spread to all the airports.The improved SIR model demonstrates the differential effects of airport importance on delay propagation and provides reference for the formulation of flight delay management strategies.关键词
航空运输管理/延误传播/复杂网络/熵权TOPSIS/传播动力学/传播阈值Key words
airtransport management/delay propagation/complex network/entropy-weight TOPSIS/propagation dynamics/propagation threshold分类
计算机与自动化引用本文复制引用
杨新湦,谢小龙,魏明..基于复杂网络传播动力学的航班延误传播特性分析[J].河北科技大学学报,2025,46(2):151-160,10.基金项目
国家自然科学基金(U2333206) （U2333206）
中国民航大学民航智慧机场理论与系统重点实验室开放基金(SATS202307) （SATS202307）
