Air Transport Performance Efficiency: MCDA Vs. DEA Approaches

(Conference Proceeding)

Although during the last century airport concept changed from small airfields to international hubs, airports are one of the key questions in Aeronautical Engineering. In general, airports play an important role in the economy of the regions where they are inserted and the Airport City concept is a new organizing model that probably every infrastructure of this kind should follow to be a competitive one.

Benchmarking is a self-improvement tool for any organization: it allows identifying own strengths and weaknesses, to compare itself with others, and to learn more on how to improve efficiency. 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.

In this work is developed airport performance and efficiency predictive models using robust but flexible methodologies and incorporating simultaneously traditional indicators, as well as new constraints, like for example emerging and/or sudden natural phenomenon.

Specifically this work firstly shows the efficiency evolution either of a set of airports or the same airport along several years under several constraints based on two multidimensional tools, Multicriteria Decision Analysis (MCDA, by Measuring Attractiveness by a Categorical Based Evaluation Technique, Macbeth) and Data Envelopment Analysis (DEA); and secondly it compares the obtained results. The results evidence how this new approach seems to be very promising when compared with those traditionally in use.

Our focus is a global decision analysis model that will be essential, firstly to evaluate the performance of any airport in a global perspective (air side, land side, and related catchment area), facing the challenges of the next future, and secondly to benchmark, in a better way, all the direct competitors.

(Comunicação em Conferência)

Although during the last century airport concept changed from small airfields to international hubs, airports are one of the key questions in Aeronautical Engineering. In general, airports play an important role in the economy of the regions where they are inserted and the Airport City concept is a new organizing model that probably every infrastructure of this kind should follow to be a competitive one.

Benchmarking is a self-improvement tool for any organization: it allows identifying own strengths and weaknesses, to compare itself with others, and to learn more on how to improve efficiency. 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.

In this work is developed airport performance and efficiency predictive models using robust but flexible methodologies and incorporating simultaneously traditional indicators, as well as new constraints, like for example emerging and/or sudden natural phenomenon.

Specifically this work firstly shows the efficiency evolution either of a set of airports or the same airport along several years under several constraints based on two multidimensional tools, Multicriteria Decision Analysis (MCDA, by Measuring Attractiveness by a Categorical Based Evaluation Technique, Macbeth) and Data Envelopment Analysis (DEA); and secondly it compares the obtained results. The results evidence how this new approach seems to be very promising when compared with those traditionally in use.

Our focus is a global decision analysis model that will be essential, firstly to evaluate the performance of any airport in a global perspective (air side, land side, and related catchment area), facing the challenges of the next future, and secondly to benchmark, in a better way, all the direct competitors.

(Comunicação em Conferência)

Although during the last century airport concept changed from small airfields to international hubs, airports are one of the key questions in Aeronautical Engineering. In general, airports play an important role in the economy of the regions where they are inserted and the Airport City concept is a new organizing model that probably every infrastructure of this kind should follow to be a competitive one.

Benchmarking is a self-improvement tool for any organization: it allows identifying own strengths and weaknesses, to compare itself with others, and to learn more on how to improve efficiency. 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.

In this work is developed airport performance and efficiency predictive models using robust but flexible methodologies and incorporating simultaneously traditional indicators, as well as new constraints, like for example emerging and/or sudden natural phenomenon.

Specifically this work firstly shows the efficiency evolution either of a set of airports or the same airport along several years under several constraints based on two multidimensional tools, Multicriteria Decision Analysis (MCDA, by Measuring Attractiveness by a Categorical Based Evaluation Technique, Macbeth) and Data Envelopment Analysis (DEA); and secondly it compares the obtained results. The results evidence how this new approach seems to be very promising when compared with those traditionally in use.

Our focus is a global decision analysis model that will be essential, firstly to evaluate the performance of any airport in a global perspective (air side, land side, and related catchment area), facing the challenges of the next future, and secondly to benchmark, in a better way, all the direct competitors.