Iberian Airports Benchmarking Based on Both a Non-Parametric Approach and a Multi-Criteria Analysis

(Conference Proceeding)

Airport benchmarking depends on airport operational performance and efficiency indicators, which are important issues for business, operational management, regulatory agencies, airlines and passengers. There are several sets of single and complex indicators to evaluate airports efficiency as well as several techniques to benchmark such infrastructures. The general aim of this work is the development of airport performance and efficiency predictive models using robust but flexible methodologies and incorporating simultaneously traditional indicators (number of movements and passengers, tons of cargo, number of runways and stands, area of terminals both of passenger and cargo) and complex ones (composed by an output/input structure). This analysis will include the most relevant airports in a total of 46 infrastructures (37 in Spain and 9 in Portugal) including Azores, Madeira, Canaries and Baleares Islands, and Melilla and Ceuta territories in northwest Africa. To collect data it was necessary to contact both airport national entities ‐ AENA Aeropuertos, in Spain, and ANA Aeroportos, in Portugal ‐ and to review several Master Plans and updated statistics taking into account, when possible, changes in the above mentioned infrastructures after Master Plans publication. It is possible to observe, and conclude, the variation on ranking positions of some airports due the use of two different multidimensional tools – Non‐parametric Approach and Multi‐Criteria Analysis ‐ corresponding to different approaches and analysis.

(Comunicação em Conferência)

Airport benchmarking depends on airport operational performance and efficiency indicators, which are important issues for business, operational management, regulatory agencies, airlines and passengers. There are several sets of single and complex indicators to evaluate airports efficiency as well as several techniques to benchmark such infrastructures. The general aim of this work is the development of airport performance and efficiency predictive models using robust but flexible methodologies and incorporating simultaneously traditional indicators (number of movements and passengers, tons of cargo, number of runways and stands, area of terminals both of passenger and cargo) and complex ones (composed by an output/input structure). This analysis will include the most relevant airports in a total of 46 infrastructures (37 in Spain and 9 in Portugal) including Azores, Madeira, Canaries and Baleares Islands, and Melilla and Ceuta territories in northwest Africa. To collect data it was necessary to contact both airport national entities ‐ AENA Aeropuertos, in Spain, and ANA Aeroportos, in Portugal ‐ and to review several Master Plans and updated statistics taking into account, when possible, changes in the above mentioned infrastructures after Master Plans publication. It is possible to observe, and conclude, the variation on ranking positions of some airports due the use of two different multidimensional tools – Non‐parametric Approach and Multi‐Criteria Analysis ‐ corresponding to different approaches and analysis.

(Comunicação em Conferência)

Airport benchmarking depends on airport operational performance and efficiency indicators, which are important issues for business, operational management, regulatory agencies, airlines and passengers. There are several sets of single and complex indicators to evaluate airports efficiency as well as several techniques to benchmark such infrastructures. The general aim of this work is the development of airport performance and efficiency predictive models using robust but flexible methodologies and incorporating simultaneously traditional indicators (number of movements and passengers, tons of cargo, number of runways and stands, area of terminals both of passenger and cargo) and complex ones (composed by an output/input structure). This analysis will include the most relevant airports in a total of 46 infrastructures (37 in Spain and 9 in Portugal) including Azores, Madeira, Canaries and Baleares Islands, and Melilla and Ceuta territories in northwest Africa. To collect data it was necessary to contact both airport national entities ‐ AENA Aeropuertos, in Spain, and ANA Aeroportos, in Portugal ‐ and to review several Master Plans and updated statistics taking into account, when possible, changes in the above mentioned infrastructures after Master Plans publication. It is possible to observe, and conclude, the variation on ranking positions of some airports due the use of two different multidimensional tools – Non‐parametric Approach and Multi‐Criteria Analysis ‐ corresponding to different approaches and analysis.