Airports' Operational Performance and Efficiency Evaluation based on Multicriteria Decision Analysis (MCDA) and Data Envelopment Analysis (DEA) Tools

João Jardim (), Maria Emília Baltazar (), Jorge Silva () and Margarida Vaz ()
Additional contact information
João Jardim: LAETA- Associated Laboratory for Energy, Transports and Aeronautics, Postal: Assistant Researcher at the Associated Laboratory in Energy, Transports and Aeronautics (LAETA),, http://www.idmec.ist.utl.pt/laeta/
Maria Emília Baltazar: LAETA- Associated Laboratory for Energy, Transports and Aeronautics, Postal: Assistant Researcher at the Associated Laboratory in Energy, Transports and Aeronautics (LAETA), http://www.idmec.ist.utl.pt/laeta/
Jorge Silva: University of Beira Interior (UBI), Postal: Assistant Professor at the Aerospace Sciences Department at the University of Beira Interior (UBI), Portugal, http://www.ubi.pt/Entidade/Departamento_de_Ciencias_Aeroespaciais
Margarida Vaz: CEPESE – Research Centre for the Study of Population, Economics and Society (University of Oporto), Postal: Researcher at the CEPESE – Research Centre for the Study of Population, Economics and Society (University of Oporto) and at the NECE – Research Center in Business Sciences (UBI), http://www.cepese.pt/portal/en/front-page?set_language=en

Journal of Tourism, Sustainability and Well-being, 2015, vol. 3, issue 4, 296-310

Abstract: Airport benchmarking depends on airports’ operational performance and efficiency indicators, which are important for business agents, operational managers, regulatory agencies, airlines and passengers. There are several sets of single and complex indicators to evaluate airports’ performance and efficiency as well as several techniques to benchmark such infrastructures. The general aim of this work is twofold: to balance the data envelopment analysis (DEA) and multicriteria decision analysis (MCDA) tools and to show that airport benchmarking is also possible using a multicriteria decision analysis tool called Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH). Whilst DEA measures the relative performance in the presence of multiple inputs and outputs, MCDA/MACBETH uses performance and efficiency indicators to support benchmark results, being useful for evaluating the real importance and weight of the selected indicators. The work is structured as follows: first, a state-of-the-art review concerning either airport benchmarking and performance indicators or DEA and MCDA tool techniques; second, an overview of the impacts on airports’ operational performance and efficiency of emergent operational factors (sudden meteorological/natural phenomena); third, two case studies on a set of worldwide airports and Madeira (FNC) Airport; and fourth, some insights into and challenges for future research that are still under development.

Keywords: Airport Performance and Efficiency; MCDA; DEA; Benchmarking (search for similar items in EconPapers)
JEL-codes: L93 O18 R41 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (3)

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