Airports Operational Performance and Efficiency Evaluation Based on Multicriteria Decision Analysis (MCDA) and Data Envelopment Analysis (DEA) Tools
|Journal:||Journal of Spatial and Organizational Dynamics|
Airport benchmarking depends on airport 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 of two orders: balance Data Envelopment Analysis (DEA) and Multicriteria Decision Analysis (MCDA) tools; and show how airports 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 to evaluate the real importance and weight of the selected indicators. The work is divided as follows: first, a state of the art review concerning either airport benchmarking and performance indicators, or DEA and MCDA tools techniques; second, an overview over the impacts on airports operational performance and efficiency of emergent operational factors (sudden meteorological / natural phenomenon); third, two case studies about a set of worldwide airports and the Madeira (FNC) one; fourth, some insights and challenges about future research still under development.