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Hugo Poelman Analysis Unit - REGIO-GIS

Enhancing the information on Cohesion Policy interventions by geo-referencing major projects 2007-2013. Hugo Poelman Analysis Unit - REGIO-GIS. The context. ERDF and Cohesion Fund programmes 2007-13 represent a total EU allocation of about EUR 263 bn

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Hugo Poelman Analysis Unit - REGIO-GIS

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  1. Enhancing the information on Cohesion Policy interventions by geo-referencingmajor projects 2007-2013 Hugo Poelman Analysis Unit - REGIO-GIS

  2. The context • ERDF and CohesionFund programmes 2007-13 represent a total EU allocation of about EUR 263 bn • More thanhalf of thisamountisdedicated to multiregional programmes => no detailed information about regional (NUTS2) breakdown • Major projects(ERDF or CohesionFund) are projectswith a total cost of more than EUR 50 mio • Major projectsinside the programmes cover an EU expenditure of almost EUR 60 bn, most of these in multiregional programmes (approx. EUR 50 bn)* • projectsapproveduntil May 2014

  3. Scope of the project • Major projects 2007-2013 • Co-funded by ERDF or Cohesion Fund • Geo-referencing covers all approved projects • Represent projects by points, lines or polygons as appropriate • Data should be appropriate for mapping at and fit for EU-wide analytical purposes

  4. Input data on projects • List of projects from data warehouse • CCI code used as project identifier • WFS (workflow system) files • Approving decisions • Information sheets • Detailed project descriptions (mostly text, sometimes with local map images)

  5. Reference geo-data • Location of projects compatible withexisting (reference) data whenever possible • Local administrative unitsboundaries (EuroGeographicsEuroBoundaryMap) • NUTS regionalboundaries (Eurostat) • Transport networks (DG MOVE GETIS) • UrbanWaste Water Treatment plants (EEA) + identifiers • Auxiliary sources whenneeded, e.g. • Road network (TomTom – OpenStreetMap) • Background/contextimagery of Google Maps

  6. Results • More than 600 projects geo-referenced • Level of geographicdetailmostlydependent on input data (project descriptions) • Most often point locations, lines (parts of transport networks) or location of municipalitywhere the projecttakes place; sometimesregion(s)

  7. Relationship between projects and regions • 72% of the major projects are locatedinside one NUTS3 region per project; 89% of the projects are locatedinside one NUTS2 region per project • Remaining part: distribution key amongst NUTS3/NUTS2 regions, according to the number/length/surface of the featuresrepresenting the project

  8. Relationship between projects and regions Location information allows the aggregation of projectrelated data, e.g. by NUTS region: • Allocations • Regionalaidintensity

  9. Available geodata • Location points, lines and polygons representing the projects • In REGIO-GIS ArcSDE: • MP_RG_07_13 (polygons) • MP_LI_07_13 (lines) • MP_PT_07_13 (points) • MP_AT_07_13 (attributes of all referencedprojects) • Shapefileswith the samecontent availablefor downloadfrom CIRCABC: https://circabc.europa.eu/sd/a/c1d6d354-861c-4648-8469-81b86e4975bd/major_projects_07_13_shp.zip

  10. Next steps ? • Regular update by adding newly approved projects • Publish interactive maps on Inforegiowebsite • Compile geodata for new major projects 2014-2020

  11. Interactive map services (intranet) All major projects: http://www.arcgis.com/home/webmap/viewer.html?webmap=6342e808bd4e43f295eaf3de8e5c4548 Environmental projects: http://www.arcgis.com/home/webmap/viewer.html?webmap=3d95389a6e02475ea6cee331754d7ab2 Transport projects: http://www.arcgis.com/home/webmap/viewer.html?webmap=e40c6083186d4285aa18c694366f68b5 R&D projects: http://www.arcgis.com/home/webmap/viewer.html?webmap=2e0110853d384eb0a495aab7c42db460 Energy projects: http://www.arcgis.com/home/webmap/viewer.html?webmap=8de03db160974b41938c9a3460bfb3a6 Other projects: http://www.arcgis.com/home/webmap/viewer.html?webmap=b3fa4e06c32842b88e4ebba585bb3fe4

  12. Someother REGIO-GIS projects • With JRC: building footprints: imagery-based layer of building probabilities; improved population disaggregation (2011) where no point-based population data are available • Population estimates by Urban Atlas 2012 polygon, based on sub-local population data • Time series of local (LAU2) population data 1961-2011 • Indicators on urban public transport: • Frequency of departures in relationship to population / employment (Regional Focus forthcoming) • Services' speed insidecities, by transport mode • Rail services betweencities: • Frequency and average speed of services

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