DRAFT RESULTS D2.1 May 2014 EUROPEAN SMART CITY PROFILES SANTIAGO DE COMPOSTELA

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2 DRAFT RESULTS D2.1 May 2014 EUROPEAN SMART CITY PROFILES SANTIAGO DE COMPOSTELA

3 Evidence based understanding of Smart City Smart City Key fields: Smart Economy Smart People Smart Governance Smart Mobility Smart Environment Smart Living Endowments Activities (Local conditions) (Application) A Smart City is a city well performing in these 6 key fields, built on the smart combination of endowments and activities of selfdecisive, independent and aware citizens. it is not the potential but its activation and use through stakeholders, customers and residents and transformation into an asset what makes a city smart integrative understanding for planning purpose 3

4 D 2.1 Smart City Profiles strengths and weaknesses of the partner cities in comparison to other medium-sized cities in Europe revealing the potentials for challenging other cities in an increasing competitive situation Positioning, Benchmarking Impulses for detailed analysis and strategic recommendations! Steps: Definition of data base and indicators (define a set of indicators for maximize group of cities, based on European Smart Cities approach, about 77 medium-sized cities including 6 partner cities) Operationalization ( to feed with data ) Illustration of results

5 City sample Austria: Graz, Linz, Salzburg, Innsbruck. Belgium: Gent, Brugge. Bulgaria: Pleven, Ruse. Czech republic: Plzen, Usti nad Labem. Germany: Regensburg, Rostock, Göttingen, Trier, Magedburg, Kiel, Erfurt. Denmark: Odense, Aarhus, Aalborg. Estonia: Tartu. Greek: Larisa, Patrai. Spain: Santiago de Compostela, Oviedo, Pamplona, Valladolid. Finland: Jyväskylä, Tampere, Turku, Oulu. France: Dijon, Nancy, Poitiers, Clermont- Ferrand, Montpellier. Italy: Trento, Verona, Venevzia, Padova, Trieste, Perugia, Ancona. Lithuania: Kaunas. Luxemburg: Luxembourg. Latvia: Liepaja. The Netherlands: Groningen, Enschede, Nijmegen, Eindhoven. Poland: Rzeszow, Kielce, Bialystok, Suwalki, Szczecin, Bydgoszcz. Portugal: Coimbra. Romania: Sibiu, Craiova, Timisoara. Sweden: Eskilstuna, Joenkoeping, Umeaa. Slovenia: Maribor, Ljubljana. Slovakia: Nitra, Banska Bystrica, Kosice. Hungary: Györ, Pécs, Miskolc. Ireland: Cork. UK: Leicester, Stoke-on-Trent, Portsmouth, Cardiff, Aberdeen.

6 City sample Based on projects SC1.0 & SC2.0 important group of cities in Europe often neglected cities besides metropolis Transparency in meaning, positioning and challenges Criteria of selection Functional Urban Area (FUA) as defined in ESPON About inhabitants Agglomeration < inhabitants At least 1 university Availability of data in Urban Audit Availability of raw data in total >75% Either way: PLEEC partner city! International experience Analogue European Smart Cities 1.0 (2007): Medium-sized cities: Graz, Linz, Ljubljana, Aarhus Major cities: Praque, Budapest, Bratislava, Vienna

7 Different sources Eurostat (Base of 14 indicators): in particular economie and technic, mostly recent data o 3 indicators NUTS3 level ( small regions / larger cities ) o 11 indicators NUTS2 level ( larger areas / states ) Urban Audit (Base of 34 indicators): Core City level, completly different topics, different actuality (most data from period ). o 33 indicators by query from Eurostat web database o 1 indicator recalculated as described in Urband Audit Methodological Handbook based on official CORINE LANDCOVER data. Eurobarometer (Base of 26 indicators): National level, personal interviews on different topics, e.g. lifestyle, different actualty, (like Urban Audit). Espon (Base of 5 indicators): Indicators calculated in other recent published projects. MastersPortal.eu (Base of 2 indikators): Information about courses of studies in specific cities Additional information provided by PLEEC partner cities and city of Graz. 81 indicators!

8 Spatial reference European data NUTS 2 NUTS 3 Sources of basemap: TUWIEN 2013 based on Esri, GEBCO, NOAA, National Geographic, DeLorme, NAVTEQ, Geonames.org and other contributors; EuroGeographics

9 Data collection by partners

10 Timeline Total: 20% 2010 or younger 38% % 2008 or anterior

11 Smart City Model a hierarchical approach SC 3.0 PLEEC Rank Positioning 28 Smart City Key fields Domains Positioning Benchmarking SC 1.0 year Components Data SC 2.0 year 2012/13 Data Data

12 Smart City profile Santiago de Compostela SPACE FOR INTERPRETATION

13 Performance of cities Santiago de Compostela: position in European midfield Jyväskylä Eskilstuna Karte folgt Turku Tartu Stoke-on-Trent Santiago de Compostela Performance of cities far above average average far below average Sources of basemap: TUWIEN 2013 based on Esri, GEBCO, NOAA, National Geographic, DeLorme, NAVTEQ, Geonames.org and other contributors; EuroGeographics

14 Positioning

15 Benchmarking I Santiago de Comp. in comparision to selected cities in Europe

16 Benchmarking II

17 Benchmarking III

18 Performance Santiago de Compostela

19 Performance Santiago de Compostela domains far below average Eco_3: Economic image & trademarks Importance as decision-making centre Peo_1: Level of qualification Importance as knowledge centre Population qualified at levels 5-6 ISCED Mob_3: Availability of IT- Infrastructure Eco_1: Innovative spirit Employment rate in knowledgeintensive sectors Patent applications per inhabitant R&D expenditure in % of GDP Mob_2: (Inter-)national accessibility Multimodal potential accessibility Internet access Internet infrastructure Personal internet use

20 Performance Santiago de Compostela domains far above average Liv_2: Health conditions Doctors (practising physicians) per inhabitant Hospital beds per inhabitant Infant Mortality Life expectancy at given exact age (ex) AGE: Less than 1 year Mortality rate for <65 per year Quality of the health system Liv_3: Individual security Liv_1: Cultural facilities Cinema attendance per resident Theatre attendance per resident Visitors to museums per resident Env_1: Environmental conditions Green space share (CORINE) Sunshine hours Burglary rate Crime rate Liv_6: Touristic attractiveness Importance as tourist location

21 Performance Santiago de Compostela: context for energy efficient urban development Smart Environment INTERPRETATION Smart People INTERPRETATION Smart Living INTERPRETATION Smart Governance INTERPRETATION Smart Economy INTERPRETATION weaknesses strengths Smart Environment INTERPRETATION Smart People INTERPRETATION Smart Living INTERPRETATION Smart Governance INTERPRETATION Smart Economy INTERPRETATION

22 Smart City Profiles support an integrated urban development make urban development measurable and transparent presume explicitely political will for pro-active behaviour integrate all relevant actors and stakeholders promote the exchange of good practice and production of knowledge through analysis and discussion of strengths and weaknesses evidence-based decision-making indicate potential need of action in certain fields of urban development support strategic objectives and concepts and corresponding activities in view of various components communicate need of activities and makes success visible