Air Transport Performance and Global Decision Analysis

(Conference Proceeding)

Although during the last century airport concept changed from small airfields to international hubs, since ever 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 such infrastructure may follow to be a competitive one.

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) as well as new constraints like for example emerging and/or sudden natural phenomenon (respectively: ramp incidents, and volcano ashes and weather constraints).

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.

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 correct way, all the direct competitors.

(Comunicação em Conferências)

Although during the last century airport concept changed from small airfields to international hubs, since ever 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 such infrastructure may follow to be a competitive one.

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) as well as new constraints like for example emerging and/or sudden natural phenomenon (respectively: ramp incidents, and volcano ashes and weather constraints).

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.

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 correct way, all the direct competitors.

(Comunicação em Conferências)

Although during the last century airport concept changed from small airfields to international hubs, since ever 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 such infrastructure may follow to be a competitive one.

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) as well as new constraints like for example emerging and/or sudden natural phenomenon (respectively: ramp incidents, and volcano ashes and weather constraints).

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.

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 correct way, all the direct competitors.