CITYkeys Prof. Miimu Airaksinen, VTT

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Presentation transcript:

CITYkeys Prof. Miimu Airaksinen, VTT

Prof. Miimu Airaksinen, VTT CITYkeys Prof. Miimu Airaksinen, VTT

CITYkeys overview The goal of CITYkeys is to provide a validated, holistic performance measurement framework for monitoring and comparing the implementation of Smart City solutions.

Cities and citizens needs

Mapping existing frameworks

Mapping existing frameworks

Gap analyse CITYkeys developed indicators to cover the gaps There are in principle indicators available for each of the subthemes. However, there are significant variations in the coverage of the subthemes Best covered are People, Planet and Prosperity Gaps: Project level Education, Employment, Scalability, Replicability City level: Multilevel governance CITYkeys developed indicators to cover the gaps

CITYkeys Framework structure Themes, Subthemes and # of project indicators Framework is both for project and city level People Health (3) Safety (4) Access to (other) services (7) Education (3) Diversity & social cohesion (3) Quality of housing and the built environment (6) Planet Energy & mitigation (7) Materials, water and land (10) Climate resilience (1) Pollution & waste (4) Ecosystem (2) Prosperity Employment (2) Equity (2) Green economy (3) Economic performance (5) Innovation (5) Attractiveness & competitiveness (1) Governance Organisation (6) Community involvement (5) Multi-level governance (2) Propagation Scalability (10) Replicability (8)

Framework and datasets In total the smart city KPIs need 116 raw data sets On average 72% of them seem available in partner cities Most of them can be retrieved from statistical sources The boundaries of SC project data sets usually depend on the project Needed data is typically not readily available Typical sources include project documentation and interviews with project manager The share of open data providing the needed data sets varies from 1% to 25%, and is 15% on average Cities have up to 300 open data sets in their portals but only some of them are relevant for CITYkeys smart city KPIs Today, a smart city performance measurement system cannot yet rely only on open data

Smart City Index The CITYkeys city indicators can be aggregated into an index Several methodological issues in weighting and normalization remain Use of a city index limited for cities Value added on European level doubtful

Conclusion CITYkeys, UN SDG11-U4SCC Very good alignment, only 3 KPIs were not covered due to the KPI focus in Europe Not covered 11.5 By 2030, significantly reduce the number of deaths and the number of people affected and substantially decrease the direct economic losses relative to global gross domestic product caused by disasters, including water-related disasters, with a focus on protecting the poor and people in vulnerable situations 11.a Support positive economic, social and environmental links between urban, peri-urban and rural areas by strengthening national and regional development planning 11.c Support least developed countries, including through financial and technical assistance, in building sustainable and resilient buildings utilizing local materials

Main recommendations Common framework and methodology are important in order to compare and understand the differences between solutions and the potential to replicate and scale to different cities/districts The indicators are often used for cities to see their own development Data availability and easy access are important in order to make the frame usable (M2M reading)