Abstract This paper deals with the applications of best worst method (BWM) and multi-attributive border approximation area comparison (MABAC) method to assess the performance of 32 major Indian international airports based on eight evaluation criteria. The BWM is applied to derive the criteria weights based on the opinions of four decision makers, while MABAC method is employed to rank the considered airports from the best to the worst along with the identification of their relative strengths and weaknesses. The advantages of these methodologies are also enumerated. It is observed that annual revenue is the most important evaluation criterion, followed by the total number of passengers. Based on this integrated analysis, Indira Gandhi International Airport and Surat International Airport respectively emerge out as the best and the worst performing international airports in India.

    Highlights This paper integrates best worst method (BWM) and multi-attributive border approximation area comparison (MABAC) method. It assesses performance of 32 major Indian international airports based on eight evaluation criteria. The advantages of these methodologies are also enumerated. Indira Gandhi International Airport and Surat International Airport respectively emerge out as the best and worst performing Indian airports.


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    Title :

    An integrated performance evaluation approach for the Indian international airports




    Publication date :

    2020-07-09




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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