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<CreaDate>20160603</CreaDate>
<CreaTime>10111700</CreaTime>
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<idAbs>Vivibilità del paesaggio in relazione alla disponibilità di servizi urbani e ecosistemici. Al fine di quantificare localmente la vivibilità del paesaggio in relazione alla disponibilità di servizi urbani e ecosistemici, è stato sviluppato un modello gerarchico a criteri multipli (denominato LIAM), adatto a un approccio partecipativo. Il modello è stato applicato per la prima volta coinvolgendo pianificatori territoriali ed esperti locali. Fino a questo punto sono stati mappati 43 servizi sui 67 presenti nel modello. Le mappe di disponibilità dei singoli servizi sono state aggregate in mediante un approccio S-MCDA (Spatial Multi Criteria Decision Analysis) tenendo conto della rilevanza dei servizi calcolata nella fase partecipativa e della localizzazione dell’intervistato rispetto all’area di studio. Dall’aggregazione sono risultate 15 mappe a livello di divisione, 4 mappe a livello di sezione e una mappa di vivibilità complessiva. Nelle mappe sono presenti anche delle isolinee il cui valore esprime la percentuale di vivibilità spiegata in relazione alla suddetta importanza. L’analisi della vivibilità non considera i cosiddetti “disservizi” ecosistemici e urbani presenti nell’area di studio. Per maggiori informazioni consultare la pagina http://dsa3.unipg.it/ricerca-2/progetti-di-ricerca/progetto-trustee/progetto-trustee-i-risultati-ottenuti-ii/</idAbs>
<searchKeys>
<keyword>progetto europeo TRUSTEE</keyword>
</searchKeys>
<idPurp>progetto europeo TRUSTEE - Vivibilità del paesaggio</idPurp>
<idCredit>Sara Antognelli, Marco Vizzari</idCredit>
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<idCitation>
<resTitle>trustee_2_vivibilita_paesaggio</resTitle>
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