European Smart Cities: the need for a place related Understanding Rudolf Giffinger Department of Spatial Development, Infrastructure and Environmental Planning Centre of Regional Science Operngasse 11, 6. Stock 1040 Wien +43 1 58801 26621 http://www.srf.tuwien.ac.at/ Creating Smart Cities Edinburgh Napier University June 30 / July 1, 2011 Focus in this contribution Need for positioning • Urbanisation and technological innovations • territorial perspective on smart city Place based Smart City Ranking (SCR) approach • Ranking based on urban characteristics • Basic features and results for medium sized cities • Identifying a city’s specific profile – drawing lesson / Evidence based Outlook: Smart metropolitan development • Enhanced concept in territorial perspective • metropolisation and polycentricity • 2 hypotheses on smart metropolitan development 2 introduction technology based urban development • Urbanisation and industrialization • Metropolisation and competitiveness differentiation of urban development • cities and metropolises show different standards • only 10% of all European regions show corresponding standards of a knowledge society according to different indicators What should we understand under ‚smart city‘? Why a place based approach regarding territorial development? Which challenges for research and for governance ? 3 Smart City Ranking Need for positioning • Urbanisation and technological innovations • territorial perspective on smart city Place based Smart City Ranking (SCR) approach • Ranking based on urban characteristics • Basic features and results for medium sized cities • Identifying a city’s specific profile – drawing lesson / Evidence based Outlook: Smart metropolitan development • Enhanced concept in territorial perspective • metropolisation and polycentricity • 2 hypothesis on smart metropolitan development 4 Why medium sized cities? Medium sized cities • Usually forgotten in discussion about • Challenges of globalisation and Trends of metropolisation An important group of cities in Europe 27+NO+CH Source of data: Nordregio (2004), Espon project 1.1.1 5 Medium sized cities: EU27+NO+CH Importance in Europe: • • 270 million Europeans live in city regions > 100,000 residents 120 million live in city regions with 100,000 ‐ 500,000 residents Selection of the city sample Cities 1 Functional Urban Area in Europe (EU27+NO+CH) 1,595 2 100,000 – 500,000 inhabitants 584 3 At least 1 University 364 4 Catchment area less than 1.500,000 persons 256 5 Covered by the Urban Audit database 94 6 Consolidation and adaptation by the project team 70 Smart City Ranking Approach for 70 medium sized cities in Europe • to identify the position in a comparable way • to elaborate the profile of cities on different levels • to discuss future challenges 6 Definition of Smart City: www.smart‐cities.eu Smart City Characteristics: 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 characteristics, built on the ‘smart’ combination of endowments and activities of self-decisive, independent and aware citizens.” up-to-now: drawing a picture of the current state of a city. perspective: a relaunch based on more recent data is planned stimulating discussion through showing profiles and changes over time 7 Description of Smart City: www.smart‐cities.eu Smart Economy Smart People Smart Governance Smart Mobility Smart Environment Smart Living Smart‐City rank: result of 6 characteristics 6 characteristics: Smart City Characteristics result of group of factors Factors 31 factors: Indicators result of group of indicators data base: 75 indicators 8 Characteristics & bundles of factors Smart City: 6 characteristics are defined through bundles of factors in a comprehensive way 31 factors are operationalised through bundles of indicators (in total 75 ind.) 9 Ranking based on data 2001/2004 Ranking: best performing cities ‐ Luxembourg, Denmark, Finland Ranked groups of smart cities ‐ poor in transition countries ‐ Ljubljana already on 17th place Cities show different performance in its characteristics 10 Smart City Ranking Results: www.smart‐cities.eu 11 Smart City Ranking: drawing lesson Good to have a look ‐ at ‚smart living‘ in Linz ‐ Cultural facilities, individual safety or Touristic attractivity ‐ …or at any other city perfoming better ..… … an effective way how a city may learn good practice in a specific field from another city … 12 Smart City Ranking: evidence based strategy Characteristics at a first glance ‐Some strenghts in ‐ Smart economy, people and governance ‐Clear weaknesses in ‐ Smart environment and living Factor values indicating low performance facilitate more evidence ‐ ‐ ‐ ‐ ‐ International accessibility Sustainable innovative and safe transportation system Attractivity of nat. conditions Pollution some factors of smart living Are there specific issues which are clearly interlinked factors? Are there specific topics which indicate strengths or weaknesses? Which strategic projects may meet specific challenges? 13 Outlook Need for positioning • Urbanisation and technological innovations • territorial perspective on smart city Place based Smart City Ranking (SCR) approach • Ranking based on urban characteristics • Basic features and results for medium sized cities • Identifying a city’s specific profile – Lesson drawing / Evidence based Smart metropolitan development • Enhanced concept in territorial perspective • metropolisation and polycentricity • 2 hypothesis on smart metropolitan development 14 Smart City Ranking approach for metropolises metropolisation • a process of attracting • high ranked functions • in particular knowledge intensive new activities • jobs and residents polycentricity • a process of allocation of specific metropolitan functions • based on a cities specific assets and potentials regarded as specific area based advantages • often far beyond city borders in a larger metropolitan region SCR approach in a territorial perspective will describe the characteristics of its territorial capital in these two dimensions • recently done in ESPON project POLYCE 15 policy relevance of a place based approach technological innovations economic restructuring sociodemographic processes Inclusion Metropolisation smart metropolitan development Polycentricity Competitiveness governance Policy advice ‐ identifying and assessing impacts of three macro‐trends ‐ Assessing the meaning of techno‐ logical innovations regarding competiti‐ veness and inclusion Research • regarding economic restructuring & sociodemographic issues already sufficient? • but scarce knowledge on innovation processes • dependent on spatial diffusion and local adaption processes 16 Conclusions: from evidence to governance of smart city development enhanced smart metropolitan approach ‘Smart metropolis’ indicates the capability of a city with its metropolitan region to cope with the challenges of competitiveness and inclusive development steered by the attraction of metropolitan functions and through polycentric development which is enforcing its territorial cohesion. Besides, this capability is not related to local facilities of endowment as potentials only, but it also considers covering the activities of self‐decisive and independent citizens in terms of awareness and participation of a city’s inhabitants in addressing and activating new potentials and supporting and strengthening existing assets. 17 2 hypotheses (1) Even in next decades on the global level the process of urbanization and metropolisation is driven by and dependent on technological innovations. But only those cities will show ‘smart development’ in form of a balance between competitiveness and inclusion which are capable to introduce, adapt and diffuse technological innovations according to territorial conditions and needs. (2) In particular, a place based Smart City Ranking approach which considers metropolisation and polycentricity in a territorial perspective will foster ‘smart metropolitan development’. This is in particular realized through governance initiatives based on … • drawing lesson • not reasonable to follow best‐practice strategies at random • relevant evidence • in form of comparative benchmarking or of differentiated profile assessment, and • activating potentials and enhancing existing assets 18 Thank you for your attention www.smart‐cities.eu www.polyce.eu [email protected] 19
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