using data to create smart(er), sustainable cities · smart buildings. 55m. gb/day. smart...
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Using data to create smart(er), sustainable cities
Robert Hermans - Director CBS Development Urban & Regional Data Centers
Using data to create a smart(er) government & smart(er) cities
Can we predict migrant streams?
How do we match offer anddemand in the labour market?
How do we tackle the energy transition?
How do we manage mobility andpollution?
How do we make our businessessmarter?
Better communication of statistics
Better communication of statistics
Leegstandsbepaling op basis van basisregistratiesInnovation no. 1: creating a Statistics Netherlands Newsroom in 2015
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Survey
PRIMARYDATA
SECONDARYDATA
Registers
Big Data = SENSOR
DATA
CBS Data Sources
Datafication of Society
A city of 1M people will generate 200M GB of data per day by 2020
SMART BUILDINGS
55MGB/day SMART FACTORIES
50MGB/day
PUBLIC SAFETY SYSTEMS
50MGB/day
SMART VEHICLES
40MGB/day
SMART AIRPLANES
4MGB/day SOCIAL MEDIA
+ OTHER
2MGB/day
EXPLOSION OF DATAEXPLOSION OF DATA
Source: CISCO, INTEL
Statistics Based on New Data Sources
Official statsbased on BD
Experimentalstats
Future of official stats
Consumer price index
Traffic Intensity
Dot maps
Social tension indicator
Sensor data
Global triple helix partnership in big data
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Smart & Sustainable CitiesData driven, fact and evidence based,
open data, big data, standardising data, (inter-) national benchmarking
Cities lack access to national data & often also lack data-expertise in:
•data science•data analytics•data integration•data visualisation…….
……this is why CBS created Urban Data Centers :
Connecting CBS national data and CBS data-expertise to create smart(er) and more sustainable cities
Creating CBS Urban Data Centers leads to:
- a better understanding of a city- better (facts based & data driven) city decisions- better city finances- harmonized, standardized, benchmarked local – regional – (inter)national data- Smart(er) and more sustainable cities
Better understanding of city (internet) economy
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Better understanding ‘’movement’’ using mobile phone data
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Better understanding to create datadriven input for‘’tourist crowd management Amsterdam’’
Machine learning algorithm based on a training set using manually classified pictures .
Compare with ArcGis & combine with social media
‘’Last box shifted, car empty, removal car back to the depot, finally we are ready! Thansk to all removal staff!
• Insight in vacancy of homes and businesses on district-level and/or neighborhood-level
• Insight in vacancy of business premises on address-level• Insight in the number of empty real estate objects and
total vacant survace (m²) • Information about the total real estate stock and which
part of that is empty (objects and m²).
Better understanding and management creating a ‘’housing vacancy dashboard’’ for cities
Data driven decision (using big data) to solve congestion
Traffic IntensityRoad Sensor Network
Leegstandsbepaling op basis van basisregistratiesData driven decision to place solarpanels on the most suitable locations
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Data driven (investment) decision to install charching stations for electrical cars in cities
Data driven decision (using big data) to solve congestion
Traffic IntensityRoad Sensor Network
Better city finances: combining and integrating data to reduce energy consumption: more sustainable city at lower costs
Leegstandsbepaling op basis van basisregistraties
Better city finances: combining and integrating data to fight city poverty and realise savings on city social welfare budget
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Leegstandsbepaling op basis van basisregistraties
Standarizing, harmonizing and benchmarking city data with regional national and international data
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MEASURING SDG‘S IN THE NETHERLANDS
MEASURING CITY- SDG‘S IN THE NETHERLANDS
Available for free on the U4SSC website: http://itu.int/go/U4SSC
SCORING OF KPISBASED ON TARGET VALUES
completely (+/- 5%)by more than two thirdsbetween one and two thirdsby one third or lessno target found (i.e. no score available)
TARGETS HAVE BEEN REACHED
SCORING SUSTAINABLEDEVELOPMENT GOALS
Dimension "Economy"Dimension "Environment"Dimension "Society & Culture"
United Nations Cities
1 United Smart Cities2 SDG Cities Platform
Private Sector
UNITED SMART CITY ECOSYSTEM
SMART CITY + SMART CITY + SMART CITIES = SMART COUNTRY !?
UNECE-EUROSTAT-CBS IN-DEPTH REVIEW STATISTICS & DATA ON CITIES