<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
  <Esri>
    <CreaDate>20260314</CreaDate>
    <CreaTime>04090600</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
  </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 ;&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;Les mesures d'urbanisation-densification (UD) font partie intégrante du projet d'agglomération. Elles sont localisées de manière à accentuer l'effort de densification vers l'intérieur des tissus urbanisés, fourni par les territoires et en étroite coordination avec les mesures de mobilité. Ceci, afin d'accueillir au mieux la croissance soutenue de l'agglomération. Certaines mesures en extension urbaine visent à maximiser le potentiel de desserte offert par une infrastructure de mobilité.</idAbs>
    <searchKeys>
      <keyword>Cadastre</keyword>
      <keyword>aménagement</keyword>
      <keyword>Constructions et ouvrages</keyword>
    </searchKeys>
    <idPurp>Agglo - Mesures urbanisation</idPurp>
    <idCredit>© 2026 SITG</idCredit>
    <resConst>
      <Consts>
        <useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
      </Consts>
    </resConst>
    <idCitation>
      <resTitle>Agglo - Mesures urbanisation</resTitle>
    </idCitation>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
    </Thumbnail>
  </Binary>
</metadata>
