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Proximity to airports via the road network

Proximity to airports via the road network. Hugo Poelman REGIO gis Working Party GIS for Statistics, Luxembourg, 04/03/2008. Aims of the analysis. Provide an indicator of availability and accessibility of passenger flights Based on Eurostat statistical data and several georeferenced datasets

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Proximity to airports via the road network

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  1. Proximity to airports via the road network Hugo Poelman REGIOgis Working Party GIS for Statistics, Luxembourg, 04/03/2008

  2. Aims of the analysis • Provide an indicator of availability and accessibility of passenger flights • Based on Eurostat statistical data and several georeferenced datasets • Regions (NUTS3) or other territories as reporting units • Explore methodology at EU scale • Test and define data requirements

  3. Main data sources • Airport locations • Available passenger flights • Accessibility of the airports, via road network • Distribution of population over the territory

  4. Airport locations • GISCO point layer • Main airports and secondary airports • Airport ICAO codes compatible with flight data disseminated by Eurostat

  5. Passenger flights • Eurostat data sets: annual data • Main airports: number of commercial passenger flights • Other (secondary) airports: total number of commercial flights • Approximation of the number of passenger flights = 95% of total number of commercial flights • Data expressed as daily numbers ( / 365 )

  6. Road network • EuroGlobalMap roads • Maximum speed by country and road category

  7. Road network • Influence of the relief • Steeper slopes affecting the speed through the network • Slope based on GISCO DEM

  8. Road network • Proxy for congestion • Crossing main urban areas (Urban Morphological Zones) affects speed

  9. Accessibility to airports • “Service areas” around airports • Max. 90 minutes driving time by road

  10. Managing the accessibility areas (1) • Service areas around airports overlap in many places • Each service area is attached to a specific airport, and related to the number of flights available

  11. Managing the accessibility areas (2) • Numbers of flights need to be summed in the overlapping areas • All service areas are merged in a raster

  12. Population distribution • Raster-based population • JRC population disaggregation grid • Register-based population for Sweden and Finland (to overcome distorted distribution in sparsely populated areas)

  13. Aggregated accessibility indicator (1) • NUTS-3 regions as reporting units • At cell level: population * flights • At regional level: Population-weighted average number of accessible passenger flights

  14. Aggregated accessibility indicator (2) • Method allows for calculation of aggregated values for other territories • Example: mountain massifs

  15. Results at European scale

  16. Related analysis • Proximity to cities and urban/rural typology

  17. Perspectives for further analysis • Results of the analysis are depending upon the quality and availability of several data sources • Different areas for improvement and/or further analysis can be identified

  18. Density of the road network (1) • EuroGlobalMap roads • Additional EuroRegional Map roads

  19. Density of the road network (2) • Extent of the service areas depends on the density of the road network • Need for harmonised, well-defined Europe-wide network • Speed attributes of road segments?

  20. Use of digital terrain model • Slope impedances on network segment speed are dependent on the resolution of the digital elevation model • Use of a more dense road network to be combined with use of a more precise slope raster

  21. Population distribution • Analysis should be based upon state-of-the-art information on population distribution • Population disaggregation grid remains an essential tool, but… • Use of “real” grid-based population data can help to improve results

  22. Flight data • Typology of flights could be implemented, e.g. flights by length, intra- or extra-EU flights, etc. • Analysing different categories of flights expected to result in different spatial patterns • Comparisons over time when longer series will become available

  23. Applications to other themes ? • Similar analysis method might be used for accessibility analysis related to other services • Education, health, rail transport, … • Feasibility depends on data sources… • Location information based on harmonised and comparable definitions • EU-wide completeness increases interest in analysis • Features should be characterised by relevant attributes related to the importance/role of the services

  24. More information ? REGIOgis Hugo Poelman hugo.poelman@ec.europa.eu regio-gis@ec.europa.eu tel. +32 2 295 14 67

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