João Jardim concluded in 2012 the MSc in Aeronautical Engineering for Airport Operations and Perfomance. Since 2014, he works in Systems Engineering in R&D Innovation for Airspace and Airports research line at Thales Portugal.
|2015||Journal of Spatial and Organizational Dynamics||III||4||263t-t308||Airports Operational Performance and Efficiency Evaluation Based on Multicriteria Decision Analysis (MCDA) and Data Envelopment Analysis (DEA) Tools||João Jardim, Maria E. Baltazar, Jorge Silva & Margarida Vaz|
|2014||Procedia – Social and Behavioral Sciences (Elsevier)||111||–||790t–t799||Air Transport Performance and Efficiency: MCDA Vs. DEA Approaches||Maria E. Baltazar, João Jardim, Pedro Alves & Jorge Silva|
Airports Efficiency Evaluation Based on MCDA and DEA Multidimensional Tools
|Programme:||Air Transportation and Airports|
|Keywords:||Airports, Efficiency, MCDA, DEA.|
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 as emerging situations and/or sudden natural phenomenon (ramp accidents and incidents, and volcano ashes and weather constraints, respectively).
Firstly this work shows the efficiency evaluation of either a set of airports or the same airport along several years and under several constraints based on two multidimensional tools, Multicriteria Decision Analysis (MCDA, particularly through Measuring Attractiveness by a Categorical Based Evaluation Technique – Macbeth) and Data Envelopment Analysis (DEA). Secondly this work compares the obtained results using both MACBETH and DEA evidencing pros and cons of each multidimensional tool and searching for the best conditions to apply one or the other within airport management decision processes.