<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
  <Esri>
    <CreaDate>20260809</CreaDate>
    <CreaTime>04080800</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
  </Esri>
  <dataIdInfo>
    <idAbs>GRAPHE DE LA MOBILITE - VOIES NAVIGABLES :&lt;br /&gt;&lt;br /&gt;Le graphe de la mobilité est un regroupement des graphes de base, qui sont la forme géométrique des troncons, et des différentes jonctions (carrefours, arrêts, gares, débarcadères) qui sont les points de connexions, de transferts entre les différents graphes.&lt;br /&gt;Ces graphes représentent les différentes voies physiques (et non virtuelles, comme une ligne de bus) sur lesquelles les usagers circulent.&lt;br /&gt;&lt;br /&gt;Cette donnée:&lt;br /&gt;- Graphe navigablegmo_voie_navigable&lt;br /&gt;&lt;br /&gt;Autres données disponibles :&lt;br /&gt;- Graphe routiergmo_graphe_routier&lt;br /&gt;- Graphe de la mobilité doucegmo_mobilite_douce&lt;br /&gt;- Graphe des voies officiellesgmo_graphe_voies_officielles&lt;br /&gt;- Graphe des accès parkingsgmo_acces_parking&lt;br /&gt;- Graphe entretien autoroutegmo_entretien_autoroute&lt;br /&gt;- Graphe ferroviairegmo_ferroviaire&lt;br /&gt;- Troncons en projetgmo_troncon_projet&lt;br /&gt;- Carrefoursgmo_carrefour&lt;br /&gt;- Quais de garegmo_quai_gare&lt;br /&gt;- Débarcadèresgmo_debarcadere&lt;br /&gt;- Aéroportsgmo_aeroport&lt;br /&gt;- Noeuds en projetgmo_noeud_projet</idAbs>
    <searchKeys>
      <keyword>Cadastre</keyword>
      <keyword>aménagement</keyword>
      <keyword>Transport</keyword>
    </searchKeys>
    <idPurp>Graphe de la mobilité - Voies navigables</idPurp>
    <idCredit>© 2026 SITG</idCredit>
    <resConst>
      <Consts>
        <useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
      </Consts>
    </resConst>
    <idCitation>
      <resTitle>Graphe de la mobilité - Voies navigables</resTitle>
    </idCitation>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
    </Thumbnail>
  </Binary>
</metadata>
