Volume 50 Issue 9
Sep.  2024
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HE X N,LI Y H,YANG J. Optimization model for dual hub airline networks based on competition scenario[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(9):2902-2911 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0709
Citation: HE X N,LI Y H,YANG J. Optimization model for dual hub airline networks based on competition scenario[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(9):2902-2911 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0709

Optimization model for dual hub airline networks based on competition scenario

doi: 10.13700/j.bh.1001-5965.2022.0709
Funds:  Beijing Social Science Project (22JCB032); The Fundamental Research Funds for the Central Universities (2021RC262)
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  • Corresponding author: E-mail:yh.li@bjtu.edu.cn
  • Received Date: 13 Aug 2022
  • Accepted Date: 05 Oct 2022
  • Available Online: 16 Dec 2022
  • Publish Date: 14 Dec 2022
  • In view of the overlapped airline network of dual hub airports that do not belong to the same airport group, an optimization model of dual hub airline networks in a competition scenario was proposed by optimizing the airline network layout of the airports. Based on the airline network construction idea in the median of p hub, the goal was to minimize the planned delay cost of the travelers and overlapped airline cost, and factors such as direct and transit airlines in dual hub airports, passenger demand, and transit flight were considered. In addition, an optimization model for dual hub airline networks with strict multi-allocation 0–1 integer programming without capacity constraints in competitive scenarios was established, and LINGO was used to solve the model. Chengdu Shuangliu Airport and Chongqing Jiangbei Airport in Chengdu-Chongqing Airport Group were selected as dual hubs for case analysis, and the optimization of the airline network was studied based on the overlapped airline cost. The results show that the optimized objective function value decreases significantly, and the decrease rate of planned delay cost decreases with the increase in overlapped airline cost. When the overlapped airline costs are 2 000 RMB and 3 000 RMB, the decrease rate of the objective function value is the highest, which are 32.8% and 32.6%, respectively. In this case, the balance effect of the planned delay cost and the overlapped airline cost of the airline network is the best. It can be seen that the model can fully consider the competition relationship between dual hub airports, take into account the planned delay cost, lower the overlapped airline rate, reduce the waste of resources caused by airline redundancy, and provide guidance for the reasonable adjustment of the airline network of dual hub airports in competition and collaborative development.

     

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