prof. Rudolf Giffinger, Technische Universität Wien, “Europejska sieć współpracy inteligentnych miast”
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prof. Rudolf Giffinger, Technische Universität Wien, “Europejska sieć współpracy inteligentnych miast”

prof. Rudolf Giffinger, Technische Universität Wien, “Europejska sieć współpracy inteligentnych miast”

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prof. Rudolf Giffinger, Technische Universität Wien, “Europejska sieć współpracy inteligentnych miast” Presentation Transcript

  • 1. Networking European Smart Cities Univ.-Prof. Mag. Dr. Rudolf Giffinger Vienna University of Technology Department of Spatial Planning Centre of Regional Science International congress „Smart metropolis”, Gdańsk 21st - 22nd of November, 2013 Gdansk, 21/22 of November, 2013
  • 2. Objectives & structure  Trends in smart city discussion    Urbanisation, competitiveness, energy efficient city Learning processes Network based integrative understanding  Understanding Smart City – a learning process  Experiences with a place based SC-approach  Basic concept  Recent experiences on networking with integrative SC_approach  Conclusions  challenges of networks  learning processes for integrative SC-approach Gdansk, 21/22 of November, 2013
  • 3. Urbanisation in a global context  Unbroken trend … but different pace    Change in urban systems Increasing metropolitan regions and changing settlement patterns Competitiveness of cities  Economic re-structuring  Increasing importance of ‚soft„ factors  Environmental and ecological conditions  About 50 % of population in urban areas – energy consumption about 75 %  Increasing energy consumption – emissions  Increase of energy efficiency  Increasing complexity on urban development  A challenge of learning processes based on networks Gdansk, 21/22 of November, 2013
  • 4. Technical understanding of Smart City „Smart Cities combine diverse technologies to reduce their environmental impact and offer citizens better lives. This is not, however, simply a technical challenge….” European Smart City stakeholder platform‟ http://www.eu-smartcities.eu/faqs# Smart_Cities; 25.2.2013  technical solutions are obvious – basically result of networks of technicians focussing on technical innovations Gdansk, 21/22 of November, 2013
  • 5. Technical and economic understanding of Smart City „.. when investments in human and social capital and traditional (transport) and modern (ICT) communication infrastructure fuel sustainable economic growth and a high quality of life, with a wise management of natural resources, through a participated governance.“ Caragliu, DelBoand, Nijkamp,2011  Factors influencing the emergence of innovations in urban context – from triple helix to enhanced triple helix – University, industry, goverment / learning, market, knowledge  obviously, cooperation and networking of actors of specific segments but focussing on business model for implementation of technical model Gdansk, 21/22 of November, 2013
  • 6. Integrative understanding of Smart City „A Smart City is a city well performing in [relevant key fields of urban development], built on the ‘smart’ combination of endowments and activities of self-decisive, independent and aware citizens.”   Giffinger, et al., 2007 Emphasizing good performance in urban development through  improvement of services in different key fields  in collaboration of stakeholders in relevant key fields  based on citizens’ awareness and their active participation  Cooperation and networking becomes obvious – but with which challenges? Gdansk, 21/22 of November, 2013
  • 7. Integrative understanding of Smart City SC understanding  Integrative  Relevant key fields – with most relevant domains  Place based evidence  Specificities and features – Local conditions of urban development  Comprehensive  Technology, structure, aware citizens SC learning process  Stakeholder and citizens based evidence  Perception and assessments o Identification of assets and trends o Strategic interests o Assessment of activities and potentials  Indicator based evidence on urban trends and conditions  supporting positioning and benchmarking  detecting largest strengths and weaknesses Gdansk, 21/22 of November, 2013
  • 8. Smart City as a learning process Smart City Workshops Key fields 28 Domains 81 Components Data Functions • delivering Rank for each city in urban system • describing position and profile in every considered key field • Supporting benchmarking and analytical evidence through differentiation into domains described by components (= indicator) Participatory settings Expert interviews Functions • identifying relevant key fields and domains • assessing profiles in terms of strengths and weaknesses • elaborating/ assessing relevant indicators Gdansk, 21/22 of November, 2013
  • 9. SC Aarhus: the first promising but linear experiences www.smart-cities.eu Aarhus, 2009/10 Presentation of rank – profile – benchmarking – strengths and weaknesses in large auditorium Public discussion and definition of most important topics (key fields and domains) Participatory setting through corresponding workshops Further discussion in working groups Local intraurban networks for each key field in working groups with stakeholders and citizens No Expert interviews Gdansk, 21/22 of November, 2013
  • 10. SC Linz: interactive process with open end Linz 2013 Contract with consortium of stakeholders Presentation of first results, discussing indicators: missing or reliable Modification of few indicators and elaboration of missing values Workshop with stakeholders: • assessing profiles in terms of strengths and weaknesses Final report & Press conference Clear Network of stakeholders from the beginning; marginally enhanced over time No interviews Gdansk, 21/22 of November, 2013
  • 11. Benchmarking: creating networks in SC-Krakov Project consortium (lead partner Technology Park Krakov) identifies • Key fields and domains of smart urbanregional development 6 specific local workshops about key fields • Assessing keyfields and domains • Identifying strengths and weaknesses • Discussion of indicators and new city sample (300 000 to 1 mill inhabitants) • • SC_Profiles: benchmarking for dedecting strenghts and weaknesses and good practice examples (excursions to 4 cities) Final report with Road map including stakeholders Competent Network of SC representatives participating in 6 workshops discussing most important projects and road map Gdansk, 21/22 of November, 2013
  • 12. 6 energy efficient SCies in EU: an iterative procedure http://www.pleecproject.eu/ European consortium of scientists and 6 partner cities: 2 surveys and several workshops Inclusion of additional city stakeholders • Energy efficiency • Key fields & Domains • Assessing domains • Defining components / indicators Jyväskylä Turku Eskilstuna Tartu Stoke-on-Trent Karte folgtGreenand buildings land-use Santiago de Compostela Renovation and refurbishment Innovative building technologies Spatial structures and land-use Profile of SC energy efficiency: Work in progress Mobility and transport Technical Infrastructure Production and consumption Energy supply Public transport Waste, water and sewage management Industry and commerce Fossil energy Private and public services Nuclear energy Private households Renewable energy Motorised private transport Pedestrian traffic and cycling Transport of goods Electrical power grids Heating and cooling grids Public lighting Strongly evolving network: 6 partners – corresponding city stakeholders cooperating several times with experts Sources of basemap: TUWIEN 2013 based on Esri, GEBCO, NOAA, National Geographic, DeLorme, NAVTEQ, Geonames.org and other contributors; EuroGeographics Gdansk, 21/22 of November, 2013
  • 13. Conclusions challenges of networks  First evidence on integrative SC-approach  Evidence based learning process and networking should/will mutually support each other  Relational capital is irreplaceable for knowledge production in networks – trust building, coopeative abilities and competence  Despite an increasing circular process, following deficits of own approach evident – Still not fully explored in its features: convergence and irreversability of network activities Gdansk, 21/22 of November, 2013
  • 14. conclusions learning processes for integrative SC_approach  Challenges are obvious in city level   Environmental problems, problems of rapid growing cities and metropolises, … Need of integration of technical and social innovations   creation of business models exclusively driven by economic interests   Technical solutions more or less existing Need of identification of relevant communities in distinct places Need of urban innovations based on networking  Common learning about local conditions and interests provides place based evidence  a precondition for adequate/effective solutions  Commmon learning improves chances for inclusive and sustainable development  For realisation, political will remains an important precondition Gdansk, 21/22 of November, 2013
  • 15. Many Thanks for Your Attention Univ.Prof. Dr. Rudolf Giffinger Department of Spatial Planning Centre of Regional Science Vienna University of Technology www.srf.tuwien.ac.at Gdansk, 21/22 of November, 2013