taptap下载安装安卓学报 ›› 2020, Vol. 38 ›› Issue (3): 34-39.

• 民用航空 • 上一篇    下一篇

不确定需求下航空公司国际联盟航线网络优化

杨文东,邵佳佳,郑文娟   

  1. (南京航空航天大学民航学院,南京211106)
  • 出版日期:2020-06-26 发布日期:2020-06-23
  • 作者简介:杨文东(1975—),男,山东维坊人,副教授,博士,研究方向为航线网络设计与优化.
  • 基金资助:
    南京航空航天大学研究生创新基地(实验室)开放基金项目(kfjj20180716);中央高校基本科研业务费专项(NS2016063)

International route network optimization for airline alliance under uncertain demand

YANG Wendong, SHAO Jiajia, ZHENG Wenjuan   

  1. (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)
  • Online:2020-06-26 Published:2020-06-23

摘要: 以联盟航空公司合作网络整体为研究对象,在经典枢纽航线网络三下标模型的基础上,针对旅客需求的不确定性,构建了联盟国际航线网络优化的随机规划模型,得出在不同需求情景下都相对较优的门户枢纽以及各情景下的旅客流路径。通过实例分析,验证了随机规划模型的优越性,为联盟国际航线网络的构建与优化提供了决策参考。

关键词: 国际航线网络, 联盟航线, 不确定需求, 随机规划

Abstract: Taking the collaboration network of alliance airlines as the research object, based on the three-subscript model of hub-and-spoke network, and in response to the uncertainty of passenger demand, a stochastic programming model for the international route network optimization for airline alliance is constructed. The relatively better consistent international gateways, as well as the transportation paths and flows that vary with different scenarios can be obtained. Two indicators are proposed to evaluate the improving extent of the solution obtained from stochastic program than the deterministic approaches. The superiority of the stochastic programming model is verified by example analysis, providing useful decision-making reference for the construction and optimization of international route network for airline alliance.

Key words: international route network tontes, alliance rontes, uncertain demand, stochastic programming

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