Air Transport Performance and Efficiency: MCDA vs. DEA Approaches

Maria Emília Baltazar · João Jardim · Jorge Alexandre Monteiro de Carvalho Silva

36 citations0/0 files storedProcedia - Social and Behavioral Sciences

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Efficiency Analysis Using DEA Multi-Criteria Decision Making Aviation Industry Analysis and Trends

Abstract

The general aim of this work is the development of airports performance and efficiency predictive models using robust but flexible methodologies, and incorporating traditional indicators as well as new constraints. Particularly it shows and compares the efficiency evolution of the same airport along several years, under several constraints, based on two multidimensional tools: Multi Criteria 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 a very promising one when compared with those (DEA based) traditionally in use.

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2007Passengers' expectations of airport service quality 2001Managing Airports: An International Perspective 2003A comparative analysis of productivity performance of the world's major airports: summary report of the ATRS global airport benchmarking research report—2002 2002Performance measurement: a review of airports 2006A Benchmarking Analysis of Spanish Commercial Airports. A Comparison Between SMOP and DEA Ranking Methods 2005FREE SOFTWARE FOR DECISION ANALYSIS - A Software Package for Data Envelopment Models 2012The Development of Benchmarking Techniques in Airport Performance Evaluation Research 2009Understanding the complexities and challenges of airport performance benchmarking

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