Air Transport Performance and Global Decision Analysis
This paper shows the development of airport performance and efficiency predictive models using robust but flexible methodologies and incorporating simultaneously traditional indicators, as well as new constraints as emerging and/or sudden natural phenomenon.
Specifically our work shows and compares 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).
The results evidence how MACBETH (MCDA) approach seems to be very promising when compared with those (DEA based) traditionally in use.
Our focus is a global decision analysis model essential not only to evaluate the performance of any airport in a global perspective but also to benchmark all the direct competitors.