<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20260210</CreaDate>
<CreaTime>10305100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<LyrxDate>2025-01-15T09:29:31.717751+00:00</LyrxDate>
</Esri>
<dataIdInfo>
<idAbs>Projet d'agglomération de 4ème génération (2021), données schématiques de stratégie. &lt;br /&gt;&lt;br /&gt;Les aires urbaines définies sont les suivantes:&lt;br /&gt;1) Le coeur de l'agglomération centrale, d'urbanisation ancienne, est très densément occupé : à dominante activités, il accueille les équipements et espaces publics majeurs de l'agglomération franco-valdo-genevoise.&lt;br /&gt;&lt;br /&gt;2) Les aires urbaines d'agglomération centrale, correspond à la première couronne autour du coeur ; d'urbanisation plus récente, elles sont densément occupées et à dominante habitat; elles accueillent également des pôles d'emplois et des équipements et espaces publics d'intérêt d'agglomération.&lt;br /&gt;&lt;br /&gt;3) Les aires urbaines d'agglomération régionale correspondent aux villes principales des agglomérations régionales, ainsi qu'aux urbanisations plus ou moins contiguës des communes voisines; elles sont de densité moyenne et accueillent des pôles d'emplois et les équipements et espaces publics régionaux principaux.&lt;br /&gt;&lt;br /&gt;4) Les aires urbaines périphériques à l'agglomération centrale (a) ou aux agglomérations régionales (b) plus ou moins contiguës avec les aires urbaines denses et d'urbanisation récente, sont peu densément occupées et à dominante résidentielle.&lt;br /&gt;&lt;br /&gt;5) Les aires urbaines de centre local sont de densité moyenne et accueillent des activités et des équipements locaux.&lt;br /&gt;&lt;br /&gt;6) Les aires villageoises sont peu densément occupées et à dominante résidentielle.&lt;br /&gt;Les aires de développement urbain offrent un potentiel important de renouvellement urbain, de densification des tissus bâtis et d'extension urbaine et bénéficient d'une excellente desserte en transports publics. Leur affectation et leur densité correspondent à leur aire urbaine.&lt;br /&gt;Les aires ont été regroupées dans 4 catégories lors de l'élaboration du PA4:&lt;br /&gt;- Agglomération centrale (1,2, 4a)&lt;br /&gt;- Agglomération régionale (3, 4b)&lt;br /&gt;- Centre local (5)&lt;br /&gt;- Aire villageoise (6)&lt;br /&gt;&lt;br /&gt;La localisation est schématique et doit être interprétée à l'échelle du schéma d'agglomération (max 1:100'000)</idAbs>
<searchKeys>
<keyword>Cartes de base</keyword>
<keyword>Cadastre / aménagement</keyword>
<keyword>190_PUBLISHVECTORS_PUBLISHING</keyword>
<keyword>190_PUBLISHVECTORS_5290474986a8436b92f5da2e6d476427</keyword>
</searchKeys>
<idPurp>Agglo - Aires urbaines - Stratégie du PA4</idPurp>
<idCredit>© 2026 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Agglo - Aires urbaines - Stratégie du PA4</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
