D130619 weastflows portsmouth_meeting_aurh
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Meeting à Portsmouth 19 et 20 juin 2013
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D130619 weastflows portsmouth_meeting_aurh
- 1. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page • WEASTFlows meeting – AURH Portsmouth 19-20th june 2013
- 2. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page WP 1 – Action 1 First focus on Deliverable 2
- 3. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page Focus on deliverable 2: analysis of transport infrastructure, main objectives • To share an analytical explanation of the atlas, in order to:analytical explanation of the atlas, in order to: • Understand the territorial organization of the european transport networks • Identify and understand the futures changes of the territory • Identify the strategy of each territory and understand their interconnectivity To propose a new vision for the territorial organisation of North-West Europe
- 4. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page Focus on deliverable 2: methodology Delivrable 2 A cross analysis of gathered data A cross analysis of gathered data An analysis of the position of NWE reconsidered in a european and global context An analysis of the position of NWE reconsidered in a european and global context Geographic analysis of the main characteristic of the territory and the general organisation of transport network Geographic analysis of the main characteristic of the territory and the general organisation of transport network
- 5. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page Focus on deliverable 2: first results: Length of Inland Waterways (kilometers) by North-West European country Country km of inland waterways Germany 7 354 France 6 700 Netherlands 5 046 United Kingdom 2 204 Belgium 1 516 Luxembourg 37 Ireland 0 NWE (total) 22 857 UE 27 (total) 40 150 Top 20 of NUTS 2 regions with most elevated road density NUTS NAME Country Road density (km for 1 000 km²) 1 West Midlands UK 320 2 Outer London UK 314 3 Greater Manchester UK 290 4 Utrecht NL 281 5 Inner London UK 271 6 Düsseldorf DE 257 7 Région de Bruxelles-Capitale / Brussels Hoofdstedelijk Gewest BE 246 11 Merseyside UK 233 12 Limburg (NL) NL 205 13 Prov. Vlaams-Brabant BE 205 14 Saarland DE 196 15 Noord-Brabant NL 196 16 Zuid-Holland NL 186 17 Noord-Holland NL 182 18 Prov. Oost-Vlaanderen BE 179 19 Île de France FR 177 21 West Yorkshire UK 175 20 Prov. Antwerpen BE 173 Road density UE 27 Rank Country Motorway kilometers Road density (motorway density) (km for 1 000 km²) 1 Netherlands 2 651 63,84 2 Belgique 1 763 57,77 3 Luxembourg 147 56,84 4 Germany 12 845 35,98 10 France 11 412 20,98 13 United Kingdom 3 686 15,12 14 Ireland 900 12,89 NWE (mean) 37,6 EU 27 (mean) 20,9 Source : Eurostat Source : Eurostat
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- 15. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page * Main input/output of maritime freight Main input/output of treight
- 16. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight
- 17. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight
- 18. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight
- 19. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight
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- 21. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight
- 22. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight
- 23. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight
- 24. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight
- 25. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight
- 26. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page * Main input/output of maritime freight Main input/output of treight Secondary input/output of treight
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- 33. Partner logo(s) go here Delete this box and place partner logo(s) here on the master page THANK YOU FOR YOUR ATTENTION The AURH team: Juliette Duszynski, j.duszynski@aurh.fr Lucile Audièvre, l.audievre@aurh.fr Mathilde Mus, m.mus@aurh.fr Jean-François Mary, jf.mary@aurh.fr Visit our blog: http://www.aurhinweastflows.com/
Editor's Notes
- En relation avec le travail précédent (Atlas map) Identifier les mutations Identifier les enjeux territoriaux A terme il s’agit de proposer une nouvelle vision de l’organisation territoriale de l’Europe du Nord-Ouest qui doit faire face aux enjeux de la globalisation, la concurrence entre ports, la saturation des réseaux de transport traditionnel, la crise environnementale Idée générale : faire parler les données, ne pas être dans une approche descriptive qui caractérise l’atlas
- 1/ une analyse des infrastructures sur le territoire Nord-Ouest européen comprenant : La production de données statistiques générales pour décrire et caractériser les infrastructures (ex : kilomètres de voies électrifiées par pays…) L’identification des dynamiques territoriales 2/ une analyse croisée des données recueillies permettant d’identifier : Les continuités, discontinuité du réseau de transport Le niveau d’accessibilité Le niveau de modalité Ce deuxième niveau d’analyse suppose le croisement de différents indicateurs pour identifier les espaces à enjeux, les concentrations de population, d’industrie et les réseaux 3/ Une analyse du positionnement de l’Europe du Nord-Ouest replacé dans le contexte européen et mondial
- Dire qu’au travers du SIG on sera capable de requêter parmi les infrastructures sélectionnées pour les comparer entre elles. Thank to the GIS, it will be possible to query and report these data with the selected or targeted infrastructures (example: road CORE network, electrified railways, asw) What kind of indicators are relevant to report? For which areas?
- This is a first overview; your propositions and comments are welcome. The following maps are combination of GIS elements, selected, and together to give new kind of maps These new maps are a source of inspiration for the analysis First step, following the previous maps, was to select the main ports to show the main inputs and output of freight (the « gates of NWE »)
- The second step, was to select the secondary ports to complete (but hierarchicaly) the previous layer May be add some airports ?
- Third step : concentration of major « inland nodes » give some « main logistic area » Port and clusters – are they connected ? How are they connected ?
- Fourth step -1 : add density (industrial and population) from interpolation map Reminder : it is square inhabitant / km2 for population and industrial landuse (important activity areas) for industry The nuts3 is the level of analysis (no zoom or else the resolution / scale must change « nuts4 ») (see the methodological note) A categorization of area is looked for – in order to observe in which kind of area, nodes and connectors are? The break values are identified to class the information, according to the mean value The intensity of the color as « middle », « dark » and « very dark » indicates the position to the mean value Above (+) the mean value as middle intensity ; very above (++) the mean as dark ; strongly above (+++) as very dark… The color indicates the ratio between population and industrial density Grey is balanced (same level or class for industry and population) Middle grey means « above » and « balanced »
- Fourth step -2: add density (industrial and population) from interpolation map The « Dark grey » color means « very above » but still « balanced » Both industry, and population are very above and concentrated.
- Fourth step -3 : add density (industrial and population) from interpolation map The « Black » color means « strongly above » but still « balanced » Both industry, and population are strongly above and highly concentrated.
- Fourth step -4 : add density (industrial and population) from interpolation map But it is not all ! The map « cumulates » if the situation is not balanced. The « red » means that the ratio is not balanced (more industry than population) Here is population +, but industry ++
- Fourth step -5 : add density (industrial and population) from interpolation map The « intensive red » means « red » indicates that the ratio is not balanced (more industry than population) And « intensive » because the industry are strongly concentrated Here is the population + or ++ and industry +++ (according to the mean value)
- Fourth step -6 : add density (industrial and population) from interpolation map The « blue » means that the ratio is not balanced (in the other sens – more population than industry) Here is industry +, but population ++ (according to the mean value)
- Fourth step -7 : add density (industrial and population) from interpolation map The « intensive blue » means « blue » indicates that the ratio is not balanced (more population than industry) And « intensive » because the population are strongly concentrated Here is industry + or ++, and population +++ -> may be « tertiary » economic sector?
- Fourth step -8 : add density (industrial and population) from interpolation map The « Frame » indicates that one the component (population or industry) is under or less than the mean, but the other is above or higher the mean value. The color indicate the dominant part: population or industry (in term of density) Here is a « blue frame » population above, but industry less or under
- Fourth step -9 : add density (industrial and population) from interpolation map This is the last step of the map construction / building The « Frame » indicates that one the component (population or industry) is under or less than the mean, but the other is above or higher the mean value. The color indicate the dominant part: population or industry (in term of density) Here is a « red frame » industry is above, but population is less or under By extension, the light grey means that population and industry are above From a technically point of view, the image was converted as vector with break value. The vector polygons were then combined / merged / intersected together (the crossing) – sixteen values (4x4) and combined /grouped then in 10 classes / groups Discussion: Another classification is possible (according to the median for example) Regional adaptation (or declination) could be performed (another resolution than NUTS3, another break values, …) is it possible to make the same construction with population and general region production (GRP) ? Some criteria of production according to goods? Other criterias or attributes to cross together? The technical is available ; let’s put the information inside (right information and right scale).