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Capacity building in analysing urban statistics

This talk outlines the background and policy drivers for capacity building in urban statistics analysis. It covers descriptive statistics, building typologies, and describing city typologies and pathways. The talk also discusses the urban dimension in the Cohesion policy and the analysis needed for policy support.

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Capacity building in analysing urban statistics

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  1. Capacity building in analysing urban statistics Berthold Feldmann - Teodora Brandmüller Corinne Hermant-de Callataÿ - Lewis Dijkstra Capacity building in analysing urban statistics

  2. Outline of my talk • Background – policy drivers • Descriptive statistics • Building typologies • Describing city typologies and pathways

  3. The urban dimension in the Cohesion policy 2007-2013 and Analysis needed for policy support • Actions to promote cities as motors of regional development. • Actions to promote internal cohesion inside the urban areas. • Actions to promote a more balanced, polycentric development. • Competitiveness of Cities - economic analysis, typologies, pathways • Living in Cities (cohesion & quality of life) - employment, immigration, households, education • Power of Cities - responsibilities, autonomy, budget, government structure

  4. Descriptive statistics Capacity building in analysing urban statistics

  5. Building typologies Capacity building in analysing urban statistics

  6. Relationship betweenemployment and unemployment Domain: UA cities with population over 750 000

  7. 60000 correlation coefficient (EU27)=0.61 München correlation coefficient (EU15)=0.86 50000 Stockholm Hamburg Köln 40000 Amsterdam Wien Lyon 30000 GDP per capita (EUR) Barcelona Lille Madrid 20000 Valencia Marseille Praha Warszawa Budapest 10000 Krakow Riga Lodz Bucuresti Sofia 0 35 40 45 50 55 60 65 70 75 80 employment rate (%) Relationship between employment and GDP Domain: UA cities with population over 750 000

  8. Relationship between multimodal accessibility and GDP Domain: all UA cities

  9. Typologies and GDP level 200 Reinvented International capitals Hubs Knowledge hubs Established capitals 150 Specialised Poles Research centres Modern compared to country industrial National service GDP per capita - average = 100 centres hubs Regional Visitor centres Gateways Backbones Transformation Satellite 100 poles Regional towns market centres Regional public De-indus- service centres trialised cities 80 100000 250000 350000 500000 1000000 2000000 Population in core city n

  10. Typologies and Employment levels 110 Reinvented capitals Knowledge hubs Satellite Established capitals 100 towns Research National service centres rate, country Employment hubs Visitor centres Gateways =100 Modern Transformation industrial Regional poles 90 market centres Regional public service centres De-industrialised cities 85 100000 250000 350000 500000 1000000 2000000 Population in core city

  11. Typologies and Education levels Research Reinvented capitals 30% centres Knowledge hubs National service Established capitals hubs 25% Highly qualified residents as % Regional public Modern of population Transformation service centres industrial poles centres Regional Visitor centres market centres 20% Gateways De-industrialised cities Satellite towns 15% 100000 250000 350000 500000 1000000 2000000 Population in core city

  12. Typologies and Accessibility Knowledge hubs 140 Established capitals Satellite 120 towns Transformation Reinvented Research poles capitals centres ESPON = 100 accessibility Multimodal National service hubs Gateways Modern Visitor industrial 90 centres centres Deindustrialised cities Regional 75 market & public service centres 100000 250000 350000 500000 1000000 2000000 Population in core city

  13. Typologies and pathways Capacity building in analysing urban statistics

  14. Examples • London • Hamburg • Frankfurt am Main • München • København • Barcelona • Helsinki • Lyon • Dublin • Milano • Amsterdam • Stockholm Knowledge hubs Key characteristics • High core city population • High LUZ population • High share of other EU nationals • High share of non-EU nationals • Above average real annual average GDP growth • High GDP per capita • High employment rate • Low unemployment rate • High share of highly qualified residents • High share of self-employed persons • High accessibility

  15. Re-invented capitals Examples • Sofia • Praha • Tallinn • Warszawa • Ljubljana • Bratislava Key characteristics • Population loss in core city • Population loss in LUZ • High real GDP growth • Above country GDP growth

  16. Examples • Wien • Berlin • Madrid • Paris • Athina • Roma Established capitals Key characteristics • High core city population • High LUZ population • High share of other EU nationals • High share of non-EU nationals • Above average real annual average GDP growth • High GDP per capita • High employment rate • Low unemployment rate • High share of highly qualified residents • High share of self-employed persons • High accessibility

  17. Specialised Poles • National service hubs - play an essential role in the national urban hierarchy; they fulfil key national functions and often some capital functions in the (public) services sector (Hannover, Tartu, Seville, Utrecht) • Transformation poles– with a strong industrial past, but well on their way to manage change and develop new economic activities (Plzen, Glasgow, Lille) • Modern industrial centres – the platforms of multinational activities as well as local companies exporting abroad; high levels of technological innovation (Clermont-Ferrand, Cork, Poznan, Göteborg)

  18. Specialised Poles II • Gateways– larger cities with dedicated (port) infrastructure, handling large flows of international goods and passengers (Marseille, Napoli, Rotterdam) • Research centres – centres of research and higher education, including science and technology related corporate activities; well-connected to the international world (Darmstadt, Bologna, Cambridge) • Visitor centres– handling large flows of persons from national or international origin, with a service sector geared towards tourism (Trier, Málaga, Verona)

  19. Regional Poles • De-industrialized cities - having a strong (heavy) industrial basis, which is in decline or recession (Charleroi, Ostrava, Miskolc, Sheffield) • Regional market centres -fulfilling a central role in their region, particularly in terms of personal, business and financial services, including hotels/trade/restaurants (Erfurt, Reims, Palermo) • Regional public service centres– fulfil a central role in their region, particularly in administration, health and education (Schwerin, Odense, Ovideo) • Satellite towns -– smaller urban nodes within larger agglomerations (Setubal, Gravesham, Stevenage, Worcester)

  20. For more information • Eurostat website • The "State of European Cities report" has recently been published and may be downloaded from the INFOREGIO site at: http://ec.europa.eu/regional_policy/themes/urban/audit/index_en.htm

  21. Thank you for your attention! Capacity building in analysing urban statistics

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