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A Multi-Objective Goal Programming airport selection model for low-cost carriers' networks


  • Chang, Yu-Chun
  • Lee, Ning


This paper examines the practicability and validity of the Multi-Objective Goal Programming (MOGP) model in designing a point-to-point airline network. The MOGP mathematical model is used in this study to identify and select a best central airport and its connecting airports providing the best overall optimal performance. By using the proposed model in the selection process, one can expect to achieve the following objectives: (1) an airline network designed at less cost, (2) an airline network that generates more revenues, and (3) an airline network that serves more passengers. Route data from Taipei to the Southeast Asian region were selected for this experiment to validate the model's practicability.

Suggested Citation

  • Chang, Yu-Chun & Lee, Ning, 2010. "A Multi-Objective Goal Programming airport selection model for low-cost carriers' networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(5), pages 709-718, September.
  • Handle: RePEc:eee:transe:v:46:y:2010:i:5:p:709-718

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    Cited by:

    1. repec:eee:jaitra:v:64:y:2017:i:pa:p:60-67 is not listed on IDEAS
    2. Chen, Jeng-Chung & Lin, Shu-Chiang & Yu, Vincent F., 2017. "Structuring an effective human error intervention strategy selection model for commercial aviation," Journal of Air Transport Management, Elsevier, vol. 60(C), pages 65-75.
    3. Chang, Ching-Ter, 2015. "Multi-choice goal programming model for the optimal location of renewable energy facilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 379-389.


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