<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20260210</CreaDate>
<CreaTime>11274900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<LyrxDate>2025-01-15T09:29:32.386235+00:00</LyrxDate>
</Esri>
<dataIdInfo>
<idAbs>Le Projet d'Agglomération du Grand Genève identifie l'ensemble des actions et des mesures nécessaires à sa mise en oeuvre dans les domaines de l'urbanisation, de la mobilité, de l'environnement et du paysage. Ces mesures, coordonnées dans le temps et dans l'espace, correspondent à des projets localisés sur le territoire de l'agglomération. &lt;br /&gt;&lt;br /&gt;On distingue :&lt;br /&gt;- les mesures infrastructurelles de transports, éligibles pour certaines, à un cofinancement fédéral (CH);&lt;br /&gt;- les mesures non infrastructurelles d'urbanisation, environnement et paysage, qui participent à l'« effet » et à la cohérence du projet d'agglomération et qui contribuent au taux de cofinancement de l'ensemble des mesures cofinancées. &lt;br /&gt;&lt;br /&gt;En accompagnement des mesures d'urbanisation et d'infrastructure de transports, les mesures d'environnement-paysage concrétisent le concept paysager du Grand Genève "vert" et contribuent nettement aux objectifs de qualité de vie recherchés. Ces mesures visent à :&lt;br /&gt;- maintenir les composantes territoriales formant la « charpente paysagère »,&lt;br /&gt;- traiter les situations nécessitant des projets de paysage ou d'aménagement d'espaces publics contribuant au « maillage vert-bleu » et au maintien de la qualité de vie dans les aires urbaines compactes.</idAbs>
<searchKeys>
<keyword>Cadastre / aménagement</keyword>
<keyword>Environnement</keyword>
<keyword>190_PUBLISHVECTORS_PUBLISHING</keyword>
<keyword>190_PUBLISHVECTORS_f0160b57910842ae9767fcc7c232fb41</keyword>
</searchKeys>
<idPurp>Agglo - Mesures environnement et paysage</idPurp>
<idCredit>© 2026 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Agglo - Mesures environnement et paysage</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
