<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20260305</CreaDate>
<CreaTime>04312600</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<LyrxDate>2026-03-04T08:35:43.085342+00:00</LyrxDate>
</Esri>
<dataIdInfo>
<idAbs>Projet d'agglomération de 5ème génération (PA5, 2025), données schématiques de stratégie. Reprise des classifications urbaines de la Vision Territoriale Transfrontalière (VTT, 2024):&lt;br /&gt;- Ville&lt;br /&gt;- Bourg et petite ville&lt;br /&gt;&lt;br /&gt;Reliés entre eux par les réseaux structurants d'agglomération, les centres bénéficient d'une bonne desserte en transports publics et mobilité douce et disposent en général d'une interface multimodale.&lt;br /&gt; &lt;br /&gt;La hiérarchisation des fonctions urbaines du PA4 a également été conservées dans la couche :&lt;br /&gt;- centre métropolitain&lt;br /&gt;- centre régional&lt;br /&gt;- centre local</idAbs>
<searchKeys>
<keyword>Cadastre / aménagement</keyword>
<keyword>Transport</keyword>
<keyword>190_PUBLISHVECTORS_PUBLISHING</keyword>
<keyword>190_PUBLISHVECTORS_1d1bc5430e76446cb88ec4f8c49f80ea</keyword>
</searchKeys>
<idPurp>Agglo - Fonctions urbaines - Stratégie du PA</idPurp>
<idCredit>© 2026 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Agglo - Fonctions urbaines - Stratégie du PA</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
