This paper describes a methodology for analyzing the feasibility of a system of minor airports designed to increase the use of air travel for short trips in Italy. The study starts with an analysis of Italian territory and the positioning of its minor airports; the database of the Geographical Information System (GIS) provided by Italy’s National Institute of Statistics (ISTAT) is used to describe the country’s main geographical and economic features. A multi-criteria decision analysis (MCDA) is developed for processing the dataset and creating a platform shared by all stakeholders. Thanks to the Spatial Multi-Criteria Analysis (SDSS) arrived at, it is possible to localize the best position for new minor airports and to formulate strategies for improving existing ones.
GIS-based multi-criteria decision analysis for the “Highway in the sky” / Rosaria Guarini, Maria; Locurcio, Marco; Battisti, Fabrizio. - STAMPA. - 9157:(2015), pp. 146-161. (Intervento presentato al convegno 15th International Conference on Computational Science and Its Applications, ICCSA 2015 tenutosi a Banff, Canada nel June 22-25, 2015) [10.1007/978-3-319-21470-2_11].
GIS-based multi-criteria decision analysis for the “Highway in the sky”
Marco Locurcio;
2015-01-01
Abstract
This paper describes a methodology for analyzing the feasibility of a system of minor airports designed to increase the use of air travel for short trips in Italy. The study starts with an analysis of Italian territory and the positioning of its minor airports; the database of the Geographical Information System (GIS) provided by Italy’s National Institute of Statistics (ISTAT) is used to describe the country’s main geographical and economic features. A multi-criteria decision analysis (MCDA) is developed for processing the dataset and creating a platform shared by all stakeholders. Thanks to the Spatial Multi-Criteria Analysis (SDSS) arrived at, it is possible to localize the best position for new minor airports and to formulate strategies for improving existing ones.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
