A multi-stage multi-criteria data analytics approach to rank commercial service airports

Yaoming Zhou, Tanmoy Kundu, Mark Goh, Shankar Chakraborty and Xiwen Bai

Journal of Air Transport Management, 2023, vol. 111, issue C

Abstract: The continuous performance evaluation of commercial service airports is an important part of airport operations. Despite its significance, the existing airport ranking approaches by various aviation organizations and agencies does not provide a comprehensive methodology to rank the airports based on multiple criteria. This paper proposes a comprehensive multi-stage multi-criteria data analytics approach that combines data envelopment analysis, best-worst method, and multi-attributive border approximation area comparison method to provide a robust ranking framework. The ranking procedure is based on seven criteria, i.e. passenger throughput, number of direct routes, number of check-in counters, terminal area, number of gates, number of flights, and number of runways. The proposed method ranks the shortlisted airports from the best to the worst and evaluates the strengths and weaknesses of each of the candidate airports. A real-world example involving the ranking of the efficient major commercial service airports in China is demonstrated to validate the applicability of the proposed approach. The insights generated have implications for the benchmarking of airports.

Keywords: Air transportation; Commercial airports; Performance analysis; Data analytics; OR in Aviation (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jaitra:v:111:y:2023:i:c:s0969699723000534

DOI: 10.1016/j.jairtraman.2023.102410

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