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Case study on city-airports: Datasets and calculation models

Data have been collected over time, belonging the 2018th and 2019th, from airports owners, from stakeholders, from universities, from the net, and performing under GIS evaluation processes. Most of the collected data are geographic, economic, and financial statements of the different ownerships, map...

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Detalles Bibliográficos
Autores principales: Massaro, Alessandro, Rossetti, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887397/
https://www.ncbi.nlm.nih.gov/pubmed/33644267
http://dx.doi.org/10.1016/j.dib.2021.106789
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author Massaro, Alessandro
Rossetti, Silvia
author_facet Massaro, Alessandro
Rossetti, Silvia
author_sort Massaro, Alessandro
collection PubMed
description Data have been collected over time, belonging the 2018th and 2019th, from airports owners, from stakeholders, from universities, from the net, and performing under GIS evaluation processes. Most of the collected data are geographic, economic, and financial statements of the different ownerships, maps about the airport and urban planning, and data about carriers and routes. Specifically, the GIS has been useful to the Network Analysis evaluations. The analysis results can be collected and used in the most comprehensive analysis of similar systems. The results summarize data about four different couples of small remote airports in the EU and their specific network systems [1], [2], [3], [4]. Therefore, the ongoing analysis wait to be extended to other similar systems.
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spelling pubmed-78873972021-02-26 Case study on city-airports: Datasets and calculation models Massaro, Alessandro Rossetti, Silvia Data Brief Data Article Data have been collected over time, belonging the 2018th and 2019th, from airports owners, from stakeholders, from universities, from the net, and performing under GIS evaluation processes. Most of the collected data are geographic, economic, and financial statements of the different ownerships, maps about the airport and urban planning, and data about carriers and routes. Specifically, the GIS has been useful to the Network Analysis evaluations. The analysis results can be collected and used in the most comprehensive analysis of similar systems. The results summarize data about four different couples of small remote airports in the EU and their specific network systems [1], [2], [3], [4]. Therefore, the ongoing analysis wait to be extended to other similar systems. Elsevier 2021-01-30 /pmc/articles/PMC7887397/ /pubmed/33644267 http://dx.doi.org/10.1016/j.dib.2021.106789 Text en © 2021 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Massaro, Alessandro
Rossetti, Silvia
Case study on city-airports: Datasets and calculation models
title Case study on city-airports: Datasets and calculation models
title_full Case study on city-airports: Datasets and calculation models
title_fullStr Case study on city-airports: Datasets and calculation models
title_full_unstemmed Case study on city-airports: Datasets and calculation models
title_short Case study on city-airports: Datasets and calculation models
title_sort case study on city-airports: datasets and calculation models
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887397/
https://www.ncbi.nlm.nih.gov/pubmed/33644267
http://dx.doi.org/10.1016/j.dib.2021.106789
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