REPLICATION OF SMART CITIES SOLUTIONS Smart to Future

REPLICATION OF SMART CITIES SOLUTIONS Smart to Future Cities – 17/18 May 2017 Keith Dickerson H 2020 VICINITY RIA Project Contact keith. dickerson@mac. com

Scope What are Smart Cities? • Smart City solutions • Use cases • Governance • Ethics How to replicate Smart Cities solutions • Common use cases • Best Practises • Benchmarking / KPIs • Interoperability • Platform Approach • Standards (vertical and horizontal) • Profiling 2 Smart to Future Cities – 17/18 May 2017

ETSI TC Smart. M 2 M Pollution levels Management Control Smart travel Public Safety Education TV Fleet Management Street Light Management Health. Care Video Vo. D KIOSK Conferencing 3 Access Parking CCTV Waste Facilities Power Light Control Monitoring Management Control Smart to Future Cities – 17/18 May 2017

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Architecture of Governance First of all, what is Governance? Important to take an Integrated Perspective • To connect different facets • Environmental, Economic and Social dimensions Important to engage with Stakeholders • To improve connectivity between stakeholders, citizens and the decisionmaking process Important to measure how well you’re doing • How well you’re meeting stakeholders’ requirements Important to manage open data and consents for access Important to get security and privacy right 5 Smart to Future Cities – 17/18 May 2017

Who are the Stakeholders in a Smart City? Citizens! Cities • Administration • Vertical “departments” (waste management, infrastructure, street light, etc. ) • IT “department” (providing consultancy for tenders) City service providers (contracting companies) System integrators Technology providers Universities, research institutes Regulators (data protection, security, etc. ) Governments, Policy makers, EU 6

ETHICS and PRIVACY compliance within GDPR challenges New Regulation April 2016, GDPR Consumers consider potential loss of privacy, security, service complexity and intrusion into their daily life as a risk Data Subject’s privacy, clarification of who owns data generated within a system. What are the boundaries of the CITY/ URBAN system? Stakeholders show strong concerns regarding Privacy and Trust from an end-user point of view.

“The ethical dimensions of smart city technologies and urban science need to be much more thoroughly mapped out and addressed”* Ethical model needed: § Capture and data generation insight § Shared control and benefit § Full notice and consent § Full transparency of processors and data controllers Source* The ethics of smart cities and urban science Rob Kitchin, 2016

H 2020 Lighthouse Projects 9 Smart to Future Cities – 17/18 May 2017

H 2020 Lighthouse Cities (and others) Grow. Smarter: Stockholm, Cologne, Barcelona my. SMARTLife: Nantes, Helsinki, Hamburg REMOURBAN: Valladolid, Nottingham, Tepebasi/Eskisehir REPLICATE: Bristol, San Sebastian, Firenze RUGGEDISED: Umeå, Rotterdam, Glasgow Sharing Cities: London (Greenwich), Lisbon, Milan Smart. En. City: Vitoria-Gasteiz, Sonderborg, Tartu SMARTER TOGETHER: Wien, Lyon, München Triangulum: Manchester, Eindhoven, Stavanger http: //www. smartcities-infosystem. eu/sites-projects/projects 10 Smart to Future Cities – 17/18 May 2017

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Cross domain (cross cutting) use cases Cross-domain uses cases require access to information from different domains that is normally held separately. From VICINITY project: Smart Lighting and Smart Parking so that lighting is only provided when car parking is booked and used in order to save energy. Smart Buildings and Smart Mobility to ensure that power is available to charge electric vehicles when required (in order to reduce GHG emissions and improve air quality in a neighborhood). Smart Parking and e-Health to ensure that parking spaces are available for health professionals when required. Smart Energy and Smart Buildings to improve the buildings environment and energy management based on information collected on the indoor and outdoor environment including energy consumption and production. E-Health and Smart Appliances to monitor appliances to check if they have been ‘left on’ by the user (detection of abnormal events). Slid 01 -Introduction

Re-used data categories vs. most available data sets by data category 13 Smart to Future Cities – 17/18 May 2017

Why are KPIs important to replication? Because they enable you to measure your performance against a specified benchmark/target Provide tools to make improvements and support decision making KPIs must be: • Specific • Measurable • Achievable • Relevant • Timely H 2020 CITIkeys project selected 92 project indicators and 73 city indicators in 4 classes: People, Planet, Prosperity, Governance 14 Smart to Future Cities – 17/18 May 2017

ITU-T SG 20 KPIs The proposed set of KPIs focuses specifically on a set of ICT related indicators for smart sustainable cities The dimensions of KPIs can be categorized as • Information and Communication Technology • Environmental sustainability • Productivity • Quality of life • Equity and social inclusion • Physical infrastructure Source: Y. 4900 L. 1600 Overview of key performance indicators 15 in smart sustainable cities,

Why are Standards important to replication? Standards provide: • Interoperability between services / subsystems / components • Regulatory compliance • Cheaper products (due to commoditisation) • Avoidance of vendor lock-in Examples: • Barcelona • Security Cameras • UK Smart Metering 16 Smart to Future Cities – 17/18 May 2017

Io. T SDOs and Alliances Landscape Service & App AIOT I Open Automotive Alliance B 2 C (e. g. , Consumer Market) Open Connectivity Foundation NB-Io. T Forum Source: AIOTI WG 3 (Io. T Standardisation) – Release 2. 7 Connectivity NB-Io. T Forum B 2 B (e. g. , Industrial Internet Market)

Vertical and Horizontal Domains Manufacturing/ Vehicular/ Home/Building Transportation Healthcare Energy Industry Automation Farming/ Cities Wearables Agrifood Open Automotive Alliance Open Connectivity Foundation AIOTI AIOTI AIOTI NB-Io. T Forum Horizontal/Telecommunication Source: AIOTI WG 3 (Io. T Standardisation) – Release 2. 7

one. M 2 M Architecture approach © 2016 one. M 2 M 19 Smart to Future Cities – 17/18 May 2017

Digital Greenwich smart city blueprint 20 Smart to Future Cities – 17/18 May 2017

ETSI ISG CIM (Context Information Management) Stakeholders Public Authorities Citizen Complaints Photo-App Applications EXAMPLE: CIM-API [JSON-LD] Context Information Management Mca Information Systems CIM-API [JSON-LD] Context Information Models Data Publication Platforms Linked Data experts Smart City organisations Open. Source developers System Integrators Citizens! 2 28/02/2017 Smart to Future Cities – 17/18 May 2017 C I M

Proposed Industry Specification Group (ISG) on Smart City Requirements Objectives To capture real smart city requirements for ICT infrastructure To identify the standards necessary to meet the requirements To increase confidence in replicability at scale To act as the basis of procurement specifications for smart city solutions Possible lead cities: • Greenwich • Bordeaux • Bristol Possible Outputs: • Whitepaper with a) problem statement and b) intent for new ‘activity’ in ETSI • Group Report on requirements capture for each use case or application domain • Group Specification that provides recommendations on ICT for e. g. social housing, urban transport 22 Smart to Future Cities – 17/18 May 2017

Procuring the Smart Lamppost Enables a Procurement Specification which is: • Standards-based • City and citizen driven Source: https: //www. lightwell. eu/ 23 Smart to Future Cities – 17/18 May 2017