Air Transport Performance and Efficiency: MCDA Vs. DEA ApproachesAir Transport Performance and Efficiency: MCDA Vs. DEA Approaches

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(Journal Article)

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Journal: Procedia – Social and Behavioral Sciences (Elsevier)
Year: 2014
ISSN: 1877-0428
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Volume: 111
Pages: 790-799
DOI: 10.1016/j.sbspro.2014.01.113
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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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Maria E. Baltazar

Maria E. Baltazar

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João Jardim

João Jardim

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Pedro Alves

Pedro Alves

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Jorge Silva

Jorge Silva

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[/vc_column_text][/vc_column][/vc_row][vc_row full_width=”” parallax=”” parallax_image=””][vc_column width=”1/1″][vc_custom_heading text=”Air Transport Performance and Efficiency: MCDA Vs. DEA Approaches” font_container=”tag:h2|text_align:center” google_fonts=”font_family:Montserrat%3Aregular%2C700|font_style:400%20regular%3A400%3Anormal”][vc_separator color=”custom” align=”align_center” border_width=”3″ accent_color=”#c44044″][vc_column_text]

(Artigo em Revista)

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Revista: Procedia – Social and Behavioral Sciences (Elsevier)
Ano: 2014
ISSN: 1877-0428
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Volume: 111
Páginas: 790-799
DOI: 10.1016/j.sbspro.2014.01.113
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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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Maria E. Baltazar

Maria E. Baltazar

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João Jardim

João Jardim

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Pedro Alves

Pedro Alves

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Jorge Silva

Jorge Silva

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