Global Decision Analysis Model for Airport Performance ManagementGlobal Decision Analysis Model for Airport Performance Management

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(Conference Proceeding)

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Conference: 3rd LAETA Young Researchers Meeting
Year: 2015
Location: Coimbra, Portugal
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Airport benchmarking depends on airport performance and efficiency indicators, which are important issues for business, operational management, regulatory agencies, airlines and passengers. There are several sets of indicators to evaluate airports efficiency as well as several techniques to benchmark such infrastructures. Airport performance measures provides a useful set of measures across a number of categories that will be helpful for airports around the world for the efforts of the performance management of these infrastructures. It is suggested that these measures are divided into six categories KPAs – Key Performance Areas, which have associated to a list of PIs – Performance Indicators. After defining witch set of PIs of the KPAs that are to be benchmarked for the efficiency evolution, either of a set of airports or the same airport along several years under several constraints, a model based on multidimensional tool, Multicriteria Decision Analysis (MCDA, by Measuring Attractiveness by a Categorical Based Evaluation Technique, MACBETH) is created, it provides the knowledge for establishing priorities and witch option will be selected, this action can be taken by an individual or a group of individuals. This model is essential, firstly to evaluate the performance of any airport in a global perspective [air side, land side, and related catchment area], facing the challenges of the next future, and secondly to benchmark all the direct competitors or self-benchmark during a period of time.

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Maria E. Baltazar

Maria E. Baltazar

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Paulo Marchão

Paulo Marchão

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Francisco Fernandes

Francisco Fernandes

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Jorge Silva

Jorge Silva

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(Comunicação em Conferência)

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Conferência: 3rd LAETA Young Researchers Meeting
Ano: 2015
Localização: Coimbra, Portugal
[/vc_column_text][vc_btn title=”Leia mais sbore esta conferência” 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%2Fwordpress.ubi.pt%2Fnit%2Fevent%2F3rd-laeta-young-researchers-meeting%2F%3Flang%3Dpt||” button_block=”” add_icon=”true” i_icon_pixelicons=”vc_pixel_icon vc_pixel_icon-alert”][/vc_column_inner][/vc_row_inner][vc_text_separator title=”Resumo” title_align=”separator_align_left” align=”align_center” color=”grey”][vc_column_text]

Airport benchmarking depends on airport performance and efficiency indicators, which are important issues for business, operational management, regulatory agencies, airlines and passengers. There are several sets of indicators to evaluate airports efficiency as well as several techniques to benchmark such infrastructures. Airport performance measures provides a useful set of measures across a number of categories that will be helpful for airports around the world for the efforts of the performance management of these infrastructures. It is suggested that these measures are divided into six categories KPAs – Key Performance Areas, which have associated to a list of PIs – Performance Indicators. After defining witch set of PIs of the KPAs that are to be benchmarked for the efficiency evolution, either of a set of airports or the same airport along several years under several constraints, a model based on multidimensional tool, Multicriteria Decision Analysis (MCDA, by Measuring Attractiveness by a Categorical Based Evaluation Technique, MACBETH) is created, it provides the knowledge for establishing priorities and witch option will be selected, this action can be taken by an individual or a group of individuals. This model is essential, firstly to evaluate the performance of any airport in a global perspective [air side, land side, and related catchment area], facing the challenges of the next future, and secondly to benchmark all the direct competitors or self-benchmark during a period of time.

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Maria E. Baltazar

Maria E. Baltazar

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Paulo Marchão

Paulo Marchão

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Francisco Fernandes

Francisco Fernandes

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Jorge Silva

Jorge Silva

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