Digital agency Chief officer of Digital agency Vice minister for Digital policy Strategy and planning group Strategy Management Technology group CoE Service group (G2B,G2C) Dev. and Op. Service group (In G&LG) Dev. and Op. Head of Domain （International strategy, Data strategy, Solution, Cloud, Resource management, Education, Health） Adviser CXO (Architect, Technology, Design, Information Security, Product) Data Smart city team Cabinet office - Regional Revitalization Office - Council for Science, Technology and Innovation Ministry of Land, Infrastructure, Transport and Tourism Ministry of Internal Affairs and Communications Ministry of Economy, Trade and Industry Ministry of Environment Digital agency Relevant ministries Platform and Data standards
act and Info. disclosure act Society 5.0 (2016) Economic Growth Strategy (2021-6) Innovation Strategy (2021-6) Digital Strategy (2021-6) Data Strategy (2021-6) Digital Government Action Plan (2020-12) • Digital first • Once only • One stop Vision National Strategies Digital Strategies Digital society Act (2021) Digital-First Act (2019) Society 5.0 Reference Architecture Data Exchange Platform Government Interoperability Framework (IMI) Data Strategy / Policy Rule Organization Business Data harness functions Data Data broker function Asset Sensor, Actuator, Hardware, Network Gathering, Integration, Cleansing, Device management Data definition, Data model, Code Catalogue, Search, AI, Analysis Business process Business Rule Coordination Team Legislation Regulation Vision Priority domain Security / Authentication Lifecycle AI Principal (2019-3) AI Strategy (2021-6) AI Strategy
where management (planning, building-up, management/operation, etc.) is executed leveraging such advanced technologies as ICT for the resolutions of various issues of the city. ∙ Ministry of Land, Infrastructure, Transport and Tourism • Smart City Data （Not defined） －Data from residents, public administration, service providers, etc. －Data obtained from various IoT sensors via the network －It include Meta data, Static data, Dynamic data, Geospatial data and Personal data. Smart City Reference Architecture White Paper › https://www8.cao.go.jp/cstp/stmain/a-whitepaper1_200331_en.pdf › https://www8.cao.go.jp/cstp/stmain/a-whitepaper2_200331_en.pdf › https://www8.cao.go.jp/cstp/stmain/a-whitepaper3_200331_en.pdf › https://www8.cao.go.jp/cstp/stmain/a-whitepaper4_200331_en.pdf Definition of Smart City 4
Smart City Strategy Reference Architecture Guidebooks Cases Standards Society5.0 • Vision • Reference architecture(RA) • Cross-domain data platform Digital government • Government interoperability framework(GIF) • Government data standards • Open data standards Mobility Energy Disaster risk management Infrastructure Tourism Local economy Health Agriculture Environment Security Logistics City planning Others Digital strategy GIF Society5.0 RA Smart City RA Smart City RA guidebook Smart City Public-Private partnership platform
Strategy / Policy Rule Organization Business Data harness functions Data Data broker function Asset Sensor, Actuator, Hardware, Network Gathering, Integration, Cleansing, Device management Data definition, Data model, Code Catalogue, Search, AI, Analysis Business process Business Rule Coordination Team Legislation Regulation Vision Priority domain Security / Authentication Lifecycle
changed our life and working style. 10 Before the Covid19 • Everyone said people will move to cities. • Cities are important places. After the Covid19 • We can live anywhere. • We can work anywhere. • We can learn anywhere.
City Digital Village Public service density/ Public transportation Nature & Environment Aging Congestion Disaster Risk Management Carbon Neutral Zero carbon city / Carbon neutral leading area
our way of life and society itself by utilizing AI, IOT and big data. • The Cabinet Office is now working on the realization of "Super City" where we can enjoy various cutting-edge services, such as autonomous cars, cashless payment, remote medical care, and distance education. Super City 13 https://nettv.gov- online.go.jp/eng/prg/prg7155.html?nt=1 Video
－The local areas will be equal convenient and productive as the city areas. －The government promotes the development of open data infrastructure, we will support local activities that collaborate with multiple businesses and citizens to figure out the social issues. National Vision for a Digital Garden City 14 https://www.japan.go.jp/kizuna/2022/01/vision_for_a_digital_garden_city_nation.html Main efforts for a Digital Garden City 1. Developing digital infrastructure that supports local areas 2. Deploying digital services that solve local issues 3. Fostering digital human resources & Enhancing the new influx to local areas 4. Revitalizing local industries and foster startups for digital technology 5. Exporting the Digital Garden City model to the world
their commitment to net zero carbon emissions by 2050. －These local governments represent 118 million people (93.1% of Japan's population). • 26 areas started new projects as carbon neutral leading areas. －Energy microgrid －Mobility(EV, Car sharing, Personal mobility) Zero carbon city / Carbon neutral leading area 15 http://www.env.go.jp/en/earth/cc/2050_zero_carbon_cities_in_japan.html
high-quality services. Vision for 2030 citizen-centric society High value data sets Statistics Realtime sensor data Base registries • Person • Legal entities • Land • Administration data • Traffic • Weather Digital Twin Service providers keep their services, sustainably. Trust & Safety Once only services Citizen can use various services. Open data Data from private sectors Platform Anyone get data easily Reduce the duplicate cost Reduce city maintenance cost
Infrastructure data Area service data Cross-domain data （Smart city, Disaster Risk Management） （Administration services, City services, Event,,,） GIF （Government Interoperability Framework） Fusing city data to create new value
public-private partnership platform －We established a consortium for promoting the smart cities. ∙ 12 ministries ∙ 187 Municipalities ∙ 453 Private sectors(Companies, Universities) ∙ 249 Observer ∙ Total 903 －Government and members provide information about smart cities. －There are working groups about technology, implementation and rules. Service Design 21 http://www.mlit.go.jp/scpf/index.html 231 cases Service design & rule
for the data-driven society. Rule(Trust) 22 Rules for trust • Privacy, security and Intellectual property issue. (Need to coordinate rules among service areas) Technologies for Trust • Originality and non-tampering. (Need to use security technologies) Data quality for trust • Accuracy, currency, and comprehensiveness of data.(Need to manage the quality of data) Trust of Stakeholders • Transparency of stakeholder, Confidence. (Need to check the sustainability of the stakeholders) Trust of Information • Transparency of society, Dis-、Mis-Information. (Need to check information) Service design & rule
Building Blocks and are connected by API. Services Function for data management Function for connection Search Distribution Privacy Community Catalogue Taxonomy Simulation Quality Assurance Convert Merge Integrate Anonymize Cross-domain data exchange platform Data exchange platforms for each industries Rule Services for each industries • Taxonomies • Codes • Functions EU US ・・・ Services Function for data management Function for connection Search Distribution Privacy Community Catalogue Taxonomy Simulation Quality Assurance Convert Merge Integrate Anonymize 23 Platform
Usability Data 24 Data Open data initiative Base registries Data catalogue / Data dictionary Government Interoperability Framework (Data quality, Data management) Government Interoperability Framework (Data model, Platform) Requirement Solution
Advisors Data models for open data Data catalogue / Data dictionary Term and condition for open data GIF DCAT-GOJ Platform Base registries Tools Citizen or Servicer Rule for data sharing Standard Data Environment Rule Support Data
data（Sensing data, Image data） Core data models Service data model［DM］ Base registry DM Date & Time Address Postal code Geo coding Phone POI code Point of contact Nursing info. Accessibility Person Legal entity Facility Equipment Metadata Admen. G. Land G. Legal entity G. Smart city DM (Local service) Moving object Feature Map Disaster rm, DM Support activity Status report Shelter and evacuation site Education DM Contents Student ＆ Stakeholders School Government DM Use case Evidence and Information Application Service catalogue Report and material Event Service and program Service delivery point Activity Address BR Support program BR Business location BR Legal entity BR List of school List of evacuation site List of shelter List of hospital Event BR Public Facility BR List of code Activity Afflicted people ・・・ Others • We should provide structured and high-quality date. Government Interoperability Framework 26 Acquisition Guidebooks GIF Guidebook Character data guidebook Master data design guidebook Code design guidebook API guidebook Data management guidebook Data specialist guidebook Architecture guidebook Data quality guidebook Metadata guidebook Land Building Event Combine blocks to build a data model Data
Facilities Equipment In buildings, underground malls Underground objects Roads Traffic related information Other Local Features Moving objects Nature Events Emergency Information Administrative information Sensor data Health Culture Code Geospatial codes Local Government Code POI Codes Codes for Time and Period Time of Day Code Season, Season Code Status Codes Status of facility or event Congestion status Reservation status KPI KPI Basic Data Characters Foreign Language Notation Pictograms Date and Time Latitude and Longitude Addresses Contact information Accessibility Nursing support Reservation Payment Metadata Metadata Data
• National land and transport data platform(MLIT) • National address base registry(DA) 1. land (water, land) • Water area • Landform • Land use • Land value 2. policy area • Administrative Region • Metropolitan Areas and Disadvantaged Areas • Disaster and Disaster Prevention 3. region • Facilities • Local Resources and Tourism • Protection and Conservation 4.Transportation • Transportation • Person Trip, Traffic Change 5. statistics • Future Population Estimates Data
for promoting the smart cities. －12 ministries －187 Municipalities －453 Private sectors(Companies, Universities) －249 Observer －Total 903 • Government and members provide information about smart cities. • There are working groups about technology, implementation and rules. http://www.mlit.go.jp/scpf/index.html 231 cases 30
and Digital Twin 32 Plateu 3D models(CityGML) https://www.mlit.go.jp/plateau/ https://www.youtube.com/watch?v=dbRRwQje9Fo Virtual Shizuoka 3D points models Tokyo digital twin project 3D models(CityGML) Laser scanner Underground map https://info.tokyo-digitaltwin.metro.tokyo.lg.jp/zissyou02/
traffic jam point. Road planning(Tokyo 2021) 33 Turn right:185sec Turn left:207sec Go straight:189sec Go straight:104sec Turn right:161sec Turn left:124sec -83sec -85sec -24sec Before After https://consulting.navitime.biz/example/2021/11/18/post_20.html
safety. • And some municipalities have a crime map. 35 Map of Hard Braking point Citizens can send reports. (Source: Honda) Accident density map Car, Bike, Ageing citizens, Walker, Children, Bicycle Hard braking There are many accidents Government check the point by various view point. Densi ty
equipment and mobile devices. 36 Camera, sensor detector in the city 1500 in places. 176 Postal vehicles have following equipment. • Camera for taking images for road maintenance • A common monitoring detector that complements the fixed sensor • Communication equipment for collecting driving data Camera Communication equipment Monitoring detector [FIXED] [MOBILE] 1500 Camera and detector Monitoring service Monitoring service for children and elder citizens Company Company Company City dashboard Mobile prove data Open data API Open date Create business Data analysis, KPI monitoring
making the disaster area a 3D model. ３D map in disaster risk management 38 https://hgis.pref.miyazaki.lg.jp/hinata/ Maps and photos move smoothly in 3D
are not scheduled to be used for the day's business are shared for citizens. • The EV use as batteries on the disaster situation. EV for the disaster situation 39 Area energy management project MoC for disaster risk reduction Odawara city x NISSAN Odawara city x REXEV x SHONAN POWER Charge & reuse EV with low battery Shelters Charge smartphones and PC Disaster situation: Stop the car sharing services City get the information of each EVs ③EVs are moved to shelters ③EVs and portable battery chargers ⑤City can use high speed chargers Provide EVs and portable battery chargers Not the disaster situation REXEV controls the EV positions and the energy Use energy for EV sharing and off-peak management of facilities Business hour Working time of solar panels Charge EVs Night https://www.city.odawara.kanagawa.jp/field/envi/energy/electric_vehicle/p31913.html State of Charge
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