摘要
近几年的疫情对航空业影响巨大,国航、南航和东航,作为国内最具代表性的航空公司,因疫情原因,其航班取消、熔断使得航线网络的连通性受到严重创伤。本文通过分析三大航网络拓扑及功能结构特征,同时考虑疫情爆发的不确定性构建承伤能力评估模型,分析三大航网络对外界伤害的化解能力。结果表明,①大型枢纽城市要尽量与小型非枢纽城市连接;②减少大型及中型枢纽城市在同类型节点之间的连接,可以提高网络的承伤能力;③无论选取何种城市节点作为网络的顶点,南航及东航的航线网络具有相似的承伤能力且都比国航的承伤能力强。④由于受疫情影响,城市节点在各自网络中的重要程度不同,三大航航线网络对疫情冲击程度的敏感性不同。研究结果可以为三大航网络连接优化提供参考。
In recent years,the epidemic has had a huge impact on the aviation industry.As the most representative airlines in China,Air China,China Southern Airlines and China Eastern Airlines have suffered serious damage to the connectivity of their airline networks due to flight cancellations and disruptions caused by the epidemic.In this paper,the topological and functional structure characteristics of the three major airline networks were analyzed,and the injury bearing capacity assessment model was constructed considering the uncertainty of the outbreak,so as to analyze the ability of the three major airline networks to resolve external injuries.The results show that:(1)large hub cities should be connected with small non-hub cities as far as possible;(2)Reducing the connections between large and medium-sized hub cities in the same type of nodes can improve the damage bearing capacity of the network;(3)No matter which city node is selected as the vertex of the network,the route networks of China Southern Airlines and China Eastern Airlines have similar damage bearing capacity,which is stronger than that of Air China.(4)Due to the impact of the epidemic,the importance of city nodes in their respective networks was different,and the sensitivity of the three airline networks to the impact of the epidemic was different.The research results can provide reference for the network connection optimization of the three major airlines.
作者
袁娜
任新惠
YUAN Na;REN Xinhui(College of Economics and Management,Civil Aviation University of China,Tianjin 300300,China)
出处
《综合运输》
2024年第6期83-90,共8页
China Transportation Review
基金
国家自然科学基金(62173332)
中国民航大学研究生科研创新项目(2022YJS076)。
关键词
航空运输
航线网络
承伤能力
鲁棒性
Air transport
Route network
Damage bearing capacity
Robustness