[vc_row][vc_column][vc_column_text]

[/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]

(Journal Article)

[/vc_column_text][/vc_column][/vc_row][vc_row full_width=”” parallax=”” parallax_image=””][vc_column width=”5/6″][vc_row_inner][vc_column_inner el_class=”” width=”1/2″][vc_column_text]

Journal:	Procedia – Social and Behavioral Sciences (Elsevier)
Year:	2014
ISSN:	1877-0428

[/vc_column_text][/vc_column_inner][vc_column_inner el_class=”” width=”1/2″][vc_column_text]

Volume:	111
Pages:	790-799
DOI:	10.1016/j.sbspro.2014.01.113

[/vc_column_text][/vc_column_inner][/vc_row_inner][vc_btn title=”Journal Website” style=”outline” shape=”rounded” color=”inverse” size=”xs” align=”left” i_align=”left” i_type=”fontawesome” i_icon_fontawesome=”fa fa-plus-square” i_icon_openiconic=”vc-oi vc-oi-dial” i_icon_typicons=”typcn typcn-adjust-brightness” i_icon_entypo=”entypo-icon entypo-icon-note” i_icon_linecons=”vc_li vc_li-heart” css_animation=”left-to-right” link=”url:http%3A%2F%2Fwww.journals.elsevier.com%2Fprocedia-social-and-behavioral-sciences|title:JSOD%20Website|target:%20_blank” button_block=”” add_icon=”true” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][vc_text_separator title=”Abstract” title_align=”separator_align_left” align=”align_center” color=”grey”][vc_column_text]

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.

[/vc_column_text][vc_text_separator title=”Keywords” title_align=”separator_align_left” align=”align_center” color=”grey”][vc_row_inner][vc_column_inner el_class=”” width=”1/6″][vc_btn title=”Airports” style=”modern” shape=”rounded” color=”grey” size=”xs” align=”center” i_align=”left” i_type=”fontawesome” i_icon_fontawesome=”fa fa-adjust” i_icon_openiconic=”vc-oi vc-oi-dial” i_icon_typicons=”typcn typcn-adjust-brightness” i_icon_entypo=”entypo-icon entypo-icon-note” i_icon_linecons=”vc_li vc_li-heart” button_block=”true” add_icon=”” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][/vc_column_inner][vc_column_inner el_class=”” width=”1/6″][vc_btn title=”Performance” style=”modern” shape=”rounded” color=”grey” size=”xs” align=”center” i_align=”left” i_type=”fontawesome” i_icon_fontawesome=”fa fa-adjust” i_icon_openiconic=”vc-oi vc-oi-dial” i_icon_typicons=”typcn typcn-adjust-brightness” i_icon_entypo=”entypo-icon entypo-icon-note” i_icon_linecons=”vc_li vc_li-heart” button_block=”true” add_icon=”” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][/vc_column_inner][vc_column_inner el_class=”” width=”1/6″][vc_btn title=”Efficiency” style=”modern” shape=”rounded” color=”grey” size=”xs” align=”center” i_align=”left” i_type=”fontawesome” i_icon_fontawesome=”fa fa-adjust” i_icon_openiconic=”vc-oi vc-oi-dial” i_icon_typicons=”typcn typcn-adjust-brightness” i_icon_entypo=”entypo-icon entypo-icon-note” i_icon_linecons=”vc_li vc_li-heart” button_block=”true” add_icon=”” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][/vc_column_inner][vc_column_inner el_class=”” width=”1/6″][vc_btn title=”MCDA” style=”modern” shape=”rounded” color=”grey” size=”xs” align=”center” i_align=”left” i_type=”fontawesome” i_icon_fontawesome=”fa fa-adjust” i_icon_openiconic=”vc-oi vc-oi-dial” i_icon_typicons=”typcn typcn-adjust-brightness” i_icon_entypo=”entypo-icon entypo-icon-note” i_icon_linecons=”vc_li vc_li-heart” css_animation=”” button_block=”true” add_icon=”” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][/vc_column_inner][vc_column_inner el_class=”” width=”1/6″][vc_btn title=”DEA” style=”modern” shape=”rounded” color=”grey” size=”xs” align=”center” i_align=”left” i_type=”fontawesome” i_icon_fontawesome=”fa fa-adjust” i_icon_openiconic=”vc-oi vc-oi-dial” i_icon_typicons=”typcn typcn-adjust-brightness” i_icon_entypo=”entypo-icon entypo-icon-note” i_icon_linecons=”vc_li vc_li-heart” button_block=”true” add_icon=”” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][/vc_column_inner][/vc_row_inner][vc_text_separator title=”Download” title_align=”separator_align_left” align=”align_center” color=”grey”][vc_icon type=”fontawesome” icon_fontawesome=”fa fa-download” icon_openiconic=”vc-oi vc-oi-dial” icon_typicons=”typcn typcn-adjust-brightness” icon_entypo=”entypo-icon entypo-icon-note” icon_linecons=”vc_li vc_li-heart” color=”custom” background_color=”grey” size=”xl” align=”left” custom_color=”#c44044″ link=”url:http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1877042814001141|title:JSOD%20III%2C%204%2C%202015|target:%20_blank”][/vc_column][vc_column width=”1/6″][vc_text_separator title=”First Author” title_align=”separator_align_center” align=”align_center” color=”custom” accent_color=”#c44044″][vc_column_text] [/vc_column_text][vc_separator color=”custom” align=”align_center” style=”” border_width=”” el_width=”” accent_color=”#c44044″][vc_column_text css_animation=””] [/vc_column_text][vc_separator color=”custom” align=”align_center” style=”” border_width=”” el_width=”” accent_color=”#c44044″][vc_column_text] [/vc_column_text][vc_separator color=”custom” align=”align_center” style=”” border_width=”” el_width=”” accent_color=”#c44044″][vc_column_text] [/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_column_text]

[/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)

[/vc_column_text][/vc_column][/vc_row][vc_row full_width=”” parallax=”” parallax_image=””][vc_column width=”5/6″][vc_row_inner][vc_column_inner el_class=”” width=”1/2″][vc_column_text]

Revista:	Procedia – Social and Behavioral Sciences (Elsevier)
Ano:	2014
ISSN:	1877-0428

[/vc_column_text][/vc_column_inner][vc_column_inner el_class=”” width=”1/2″][vc_column_text]

Volume:	111
Páginas:	790-799
DOI:	10.1016/j.sbspro.2014.01.113

[/vc_column_text][/vc_column_inner][/vc_row_inner][vc_btn title=”Website Revista” style=”outline” shape=”rounded” color=”inverse” size=”xs” align=”left” i_align=”left” i_type=”fontawesome” i_icon_fontawesome=”fa fa-plus-square” i_icon_openiconic=”vc-oi vc-oi-dial” i_icon_typicons=”typcn typcn-adjust-brightness” i_icon_entypo=”entypo-icon entypo-icon-note” i_icon_linecons=”vc_li vc_li-heart” css_animation=”left-to-right” link=”url:http%3A%2F%2Fwww.journals.elsevier.com%2Fprocedia-social-and-behavioral-sciences|title:Procedia%20Website|target:%20_blank” button_block=”” add_icon=”true” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][vc_text_separator title=”Resumo” title_align=”separator_align_left” align=”align_center” color=”grey”][vc_column_text]

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.

[/vc_column_text][vc_text_separator title=”Palavras Chave” title_align=”separator_align_left” align=”align_center” color=”grey”][vc_row_inner][vc_column_inner el_class=”” width=”1/6″][vc_btn title=”Airports” style=”modern” shape=”rounded” color=”grey” size=”xs” align=”center” i_align=”left” i_type=”fontawesome” i_icon_fontawesome=”fa fa-adjust” i_icon_openiconic=”vc-oi vc-oi-dial” i_icon_typicons=”typcn typcn-adjust-brightness” i_icon_entypo=”entypo-icon entypo-icon-note” i_icon_linecons=”vc_li vc_li-heart” button_block=”true” add_icon=”” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][/vc_column_inner][vc_column_inner el_class=”” width=”1/6″][vc_btn title=”Performance” style=”modern” shape=”rounded” color=”grey” size=”xs” align=”center” i_align=”left” i_type=”fontawesome” i_icon_fontawesome=”fa fa-adjust” i_icon_openiconic=”vc-oi vc-oi-dial” i_icon_typicons=”typcn typcn-adjust-brightness” i_icon_entypo=”entypo-icon entypo-icon-note” i_icon_linecons=”vc_li vc_li-heart” button_block=”true” add_icon=”” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][/vc_column_inner][vc_column_inner el_class=”” width=”1/6″][vc_btn title=”Efficiency” style=”modern” shape=”rounded” color=”grey” size=”xs” align=”center” i_align=”left” i_type=”fontawesome” i_icon_fontawesome=”fa fa-adjust” i_icon_openiconic=”vc-oi vc-oi-dial” i_icon_typicons=”typcn typcn-adjust-brightness” i_icon_entypo=”entypo-icon entypo-icon-note” i_icon_linecons=”vc_li vc_li-heart” button_block=”true” add_icon=”” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][/vc_column_inner][vc_column_inner el_class=”” width=”1/6″][vc_btn title=”MCDA” style=”modern” shape=”rounded” color=”grey” size=”xs” align=”center” i_align=”left” i_type=”fontawesome” i_icon_fontawesome=”fa fa-adjust” i_icon_openiconic=”vc-oi vc-oi-dial” i_icon_typicons=”typcn typcn-adjust-brightness” i_icon_entypo=”entypo-icon entypo-icon-note” i_icon_linecons=”vc_li vc_li-heart” css_animation=”” button_block=”true” add_icon=”” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][/vc_column_inner][vc_column_inner el_class=”” width=”1/6″][vc_btn title=”DEA” style=”modern” shape=”rounded” color=”grey” size=”xs” align=”center” i_align=”left” i_type=”fontawesome” i_icon_fontawesome=”fa fa-adjust” i_icon_openiconic=”vc-oi vc-oi-dial” i_icon_typicons=”typcn typcn-adjust-brightness” i_icon_entypo=”entypo-icon entypo-icon-note” i_icon_linecons=”vc_li vc_li-heart” button_block=”true” add_icon=”” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][/vc_column_inner][/vc_row_inner][vc_text_separator title=”Download” title_align=”separator_align_left” align=”align_center” color=”grey”][vc_icon type=”fontawesome” icon_fontawesome=”fa fa-download” icon_openiconic=”vc-oi vc-oi-dial” icon_typicons=”typcn typcn-adjust-brightness” icon_entypo=”entypo-icon entypo-icon-note” icon_linecons=”vc_li vc_li-heart” color=”custom” background_color=”grey” size=”xl” align=”left” custom_color=”#c44044″ link=”url:http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS1877042814001141|title:JSOD%20III%2C%204%2C%202015|target:%20_blank”][/vc_column][vc_column width=”1/6″][vc_text_separator title=”Primeiro Autor” title_align=”separator_align_center” align=”align_center” color=”custom” accent_color=”#c44044″][vc_column_text] [/vc_column_text][vc_separator color=”custom” align=”align_center” style=”” border_width=”” el_width=”” accent_color=”#c44044″][vc_column_text css_animation=””] [/vc_column_text][vc_separator color=”custom” align=”align_center” style=”” border_width=”” el_width=”” accent_color=”#c44044″][vc_column_text] [/vc_column_text][vc_separator color=”custom” align=”align_center” style=”” border_width=”” el_width=”” accent_color=”#c44044″][vc_column_text] [/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_column_text]

[/vc_column_text][/vc_column][/vc_row]