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

Gdansk, 21/22 of November, 2013

Networking European Smart Cities

Univ.-Prof. Mag. Dr. Rudolf GiffingerVienna University of Technology Department of Spatial Planning

Centre of Regional Science

International congress „Smart metropolis”, Gdańsk

21st - 22nd of November, 2013


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


Urbanisation in a global context

Unbroken trend … but different pace Change in urban systems Increasing metropolitan regions and

changing settlement patterns

Increasing complexity on urban development A challenge of learning processes based on networks

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


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


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


„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?

Integrative understanding of Smart City


Integrative Relevant key fields

– with most relevant domains

Place based evidence Specificities and features

– Local conditions of urban development

Comprehensive Technology, structure,

aware citizens

Stakeholder and citizens based evidence Perception and assessments

o Identification of assets and trends

o Strategic interestso Assessment of activities and

potentials

Indicator based evidence on urban trends and conditions supporting positioning and

benchmarking detecting largest strengths and

weaknesses

SC understanding SC learning process

Integrative understanding of Smart City


Smart City as a learning process

Data

81

28

Components

Domains

Key fields

Smart City

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)

Functions• identifying relevant key

fields and domains

• assessing profiles in terms of strengths and weaknesses

• elaborating/ assessing relevant indicators

Workshops

Participatory settings

Expert interviews


SC Aarhus: the first promising but linear experienceswww.smart-cities.eu

Aarhus, 2009/10Presentation 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

http://www.smart-cities.eu/


SC Linz: interactive process with open end

Linz 2013Contract 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 timeNo interviews


Benchmarking: creating networks in SC-Krakov

Project consortium (lead partner Technology Park Krakov) identifies • Key fields and domains of smart urban-

regional 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


6 energy efficient SCies in EU: an iterative procedure

http://www.pleecproject.eu/

Karte folgt

Sources of basemap: TUWIEN 2013 based on Esri, GEBCO, NOAA, National Geographic, DeLorme, NAVTEQ, Geonames.org and other contributors; EuroGeographics

Eskilstuna Tartu

Santiago deCompostela

Turku

Jyväskylä

Stoke-on-Trent

Green buildings and

land-use

Renovation and

refurbishment

Innovative building

technologies

Spatial structures and

land-use

Mobility and transport

Public transport

Motorised private

transportPedestrian traffic and

cycling

Transport of goods

Technical Infrastructure

Waste, water and sewage

management

Electrical power grids

Heating and cooling grids

Public lighting

Production and consumption

Industry and commerce

Private and public services

Private households

Energy supply

Fossil energy

Nuclear energy

Renewable energy

Profile of SC energy efficiency:Work in progress

European consortium of scientists and 6 partner cities: 2 surveys and several workshopsInclusion of additional city stakeholders• Energy efficiency• Key fields & Domains • Assessing domains• Defining components / indicators

Strongly evolving network: 6 partners – corresponding city stakeholders cooperating several times with experts


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


Challenges are obvious in city level Environmental problems, problems of rapid growing cities and

metropolises, …

Need of integration of technical and social innovations Technical solutions more or less existing creation of business models exclusively driven by economic interests 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

conclusions learning processes for integrative SC_approach


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

Real Estate

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