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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