Smart City event Merging experiences: SCP 2.0 and PLEEC objectives, key fields and monitoring
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1 Smart City event Merging experiences: SCP 2.0 and PLEEC objectives, key fields and monitoring Klima- und Energiefonds, Wien 30 th of June, 2015 Rudolf Giffinger Vienna University of Technology Department of Spatial Planning Centre of Regional Science
2 structure PLEEC and SCP 2.0 Objectives Outlook towards a SC planning model Monitoring
3 Partnership 18 partners from 13 European countries 6 mid-sized cities: Eskilstuna, Turku, Jyväskylä, Stoke-On-Trent, Tartu, Santiago de Compostela 9 universities 3 industry partners Duration April 2013 until March 2016
4 PLEEC approach PLEEC project uses integrative approach Coordinating strategies Combining best practices Sharing energy efficiency recommendations Aim: To develop a general model for energy efficiency and sustainable city planning
5 Work Packages
6 Specific objectives Please, have a look at posters of 6 partner cities To assess the energysaving solutions and potentials for a comprehensive city planning To demonstrate how integrative planning is more efficient than separate measures To create Action Plans to be presented to decision-makers in the cities To develop a synergized model for energy efficiency planning considering city key aspects and monitoring To identify the future research agenda on the issue of energy-smart cities
7 Smart City PROFILEs 2.0 Funded by KLIEN & STädtebund In cooperation with Smart Cities in Austria January September 2015 Lead partner: SRF/TU Wien Based on Smart City Profiles 1.0 Lead partner: Umweltbundesamt
8 Smart City Profiles 2.0 Indikatoren, Profile, Monitoring Please, have a look at posters of Smart City Profiles 2.0 Ziele Ermöglichen / Aktivieren der (österreichischen) Städte zur eigenständigen Erstellung von (individuellen) Stadtprofilen Entwicklung eines Tools als notwendige Infrastruktur (inhaltlicher und organisatorischer Rahmen) für den Aufbau der jeweils eigenen Stadtprofile weitere österreichische Städte sollen in die Lage versetzt werden individuelle Stadtprofile selbständig zu erstellen Geeigneter Ansatz zur Implementation auf EU-Ebene
9 Smart City Profiles 2.0 Anwendung Frühes Erkennen von aktuellen Trends in einzelnen Bereichen der Stadtentwicklung Unterstützung bei der Entwicklung von Maßnahmen und Projekten Grundlage für die Strategieentwicklung im Bereich Stadtplanung Ausgangsbasis für Monitoring
10 Outlook: SC understanding.defines Smart City initiatives as multi-stakeholder municipally based partnerships aimed at addressing problems of common interest with the aid of ICTs, which underpin Smart classification. Smart City initiatives address problems of common interest with the aid of ICTs. To be classified as a Smart City a city addresses one or more of the following characteristics: Smart Governance, Smart People, Smart Living, Smart Mobility, Smart Economy and Smart Environment. DG Internal Policies (2014) Mapping Smart Cities in the EU. ITRE_ET(2014)507480_EN.pdf Increasing common understanding? technology driven or integrative and place based?
11 Nam, Taewoo & Pardo, Theresa A. (2011) technical & economic innovations Institutional Factors Governance Policy Regulations/directives technical focus/production Smart community Smart growth Digital city Intelligent city Ubiquituos city Wired city Hybrid city Information city Smart City Place based urban innovations What is a Smart City? Different Understandings Technology Factors Physical infrastructure Smart & mobile technologies Virtual & digital technologies data driven infrastructure optimization Creative city Learning city Human city Knowledge city Human Factors Human infrastructure Social capital
12 Towards a Smart City planning model reflecting a place based learning process SC structured evidence Smart City Key fields Domains Components Data based on indicators/profiles/trends Detecting urban profiles and identifying assets and deficits Supporting place based evidence Detecting urban innovation potentials SC communities Workshops Participatory settings Expert interviews based on qualitative information Identifying strengths and weaknesses Elaborating and discussing best available practices (technology, structures, behaviour) Identifying smart communities Strategic projects / Roadmaps aiming at energy efficient urban development Monitoring System
13 Dimensions of monitoring SC structured evidence SC community building Workshops Participatory settings Expert interviews Generation of SC public values... Outcome of projects (micro) Impacts on sustainable development (meso) User satisfaction / barometer Management of building process Input of resources / cost effectiveness Participation and knowledge production Innovation capabilities change management..
14 Many Thanks for Your Attention
15 Conclusion 1 SC strategies on the way, but Strategy finding process becomes more complex and effective. But is it endangered to become in-transparent? Today concepts are effective local problem solving or dominated by technical-economic interests?
SMART CITY PROFILES Deliverable 2.1 Part 1 Introduction. Authors: Rudolf Giffinger Hans Kramar Nataša Pichler-Milanović Florian Strohmayer
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