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Sustainable 
and 
Smart 
City 
: 
AUST 
Summer 
Course 
Chapter 
3 
: 
Introduc8on 
to 
Smart 
City 
Professor 
Isam 
SHAHROUR 
Isam.shahrour@univ-­‐lille1.fr
City 
Popula4on 
Expansion 
(Explosion) 
Energy 
& 
water 
consump4on 
Greenhouse 
emission 
Climate 
Change 
Traffic 
conges4on 
Air, 
water 
& 
soil 
pollu4on 
The 
City 
Challenges 
Financial 
& 
economic 
Crises 
Increase 
demand 
for 
life 
quality 
& 
comfort 
Gouvernance 
par4cipa4on 
Poverty 
Slums 
Society 
aging 
Health 
& 
educa4on 
Housing
We 
have 
to 
transform 
our 
city 
Infrastructure 
Housing 
Urbaniza8on 
Management 
(governance) 
Statement 
: 
Huge 
Financial 
and 
economic 
crises 
Sustainable 
City 
Env-­‐ 
responsible 
Social 
-­‐responsible 
Digital 
technology 
revolu8on 
Futur 
genera8on 
(Smart 
City 
Concept)
Facing 
the 
2th 
century 
challenges 
Infrastructures 
City 
transforma8on 
Governance 
Buildings
Two 
strategies 
Improve 
the 
buildings 
and 
infrastructure 
quality 
Large 
investment, 
takes 
6me.. 
In 
Europe 
new 
buildings 
represent 
about 
1% 
of 
the 
buildings 
stock 
annually 
Improve 
the 
infrastructure 
management 
(Digital 
technology) 
Low 
investment, 
rapid 
implementa6on
DLeigs 
irtéasl 
eRaeuvxo 
lsuo8coianu 
x 
• Communica4on 
• Social 
network 
• Mobile 
• Internet 
of 
things
Smart 
sensors 
technology
Smart 
Technology 
Smart 
governance 
SMART 
CITY
More 
data 
BIG 
DATA 
digital, 
images, 
movies, 
audios 
Health, 
Educa4on 
Art, 
Culture
Smart 
city 
technology 
allows 
• Real-­‐8me 
monitoring 
(Urban 
systems 
as 
well 
as 
other 
urban 
related 
data) 
• Rapid 
ac8on 
in 
the 
case 
of 
abnormal 
event 
(leakage, 
contamina8on, 
overload,..) 
• Op8mal 
management 
of 
resources 
• Stakeholders 
implica8on 
and 
par8cipa8on 
• Development 
of 
predic8ve 
models
Smart 
City 
Technology 
movies 
A3 
Cisco 
Smart 
Grid 
-­‐ 
HD 
Version 
A4 
Alsthom 
Architecture 
of 
a 
Smart 
Grid 
A5 
Smart 
Grid 
Denmark 
-­‐ 
the 
intelligent 
power 
grid 
of 
the 
future 
A6 
Smart 
ci8es 
in 
the 
new 
urban 
world 
Peter 
Nijkamp 
at 
TEDxUdG
Smart 
City 
history
Smart 
Grid 
historical 
perspec8ve
Smart 
City 
Interna8onal 
overview
Ci8es 
Strategy 
and 
vision
SIEMENS 
report, 
2010
Survey 
in 
15 
ci8es 
across 
the 
world
15 
CITIES
Ci8es 
Classifica8on: 
• Emerging 
ci4es: 
Popula4on 
Growth 
3 
to 
6 
% 
• Transi4onal 
ci4es 
: 
Popula4on 
Growth 
2 
to 
3 
% 
• Mature 
Ci4es 
: 
Popula4on 
Growth 
1 
to 
2 
%
Smart 
City 
in 
EUROPE
Why 
? 
Ci4es 
are 
becoming 
more 
and 
more 
a 
focal 
point 
for 
our 
economies 
and 
society, 
because 
of 
: 
• On-­‐going 
urbaniza4on 
• increasingly 
knowledge-­‐intensive 
economies 
• 
their 
growing 
share 
of 
resource 
consump4on 
and 
emissions.
Why 
? 
To 
meet 
public 
policy 
objec4ves 
under 
these 
circumstances, 
Ci4es 
need 
to 
change 
and 
develop, 
but 
in 
4mes 
of 
8ght 
budgets 
this 
change 
needs 
to 
be 
achieved 
in 
a 
smart 
way: 
our 
ci8es 
need 
to 
become 
'smart 
ci8es'.
Triple 
boeom 
line 
gain 
for 
Europe: 
• 
A 
significant 
improvement 
of 
ci4zens' 
quality 
of 
life, 
• An 
increased 
compe44veness 
of 
Europe's 
industry 
• Strong 
contribu4on 
to 
sustainability 
and 
the 
EU’s 
20/20/20 
energy 
and 
climate 
targets 
EU’s 
20/20/20 
energy 
and 
climate 
targets 
In 
2020 
(compared 
to 
1990) 
: 
• 20% 
reduc4on 
in 
CO2 
emissions 
• 
20% 
coming 
from 
renewables 
• 
20% 
increase 
in 
energy 
efficiency.
Triple 
boeom 
line 
gain 
for 
Europe: 
This 
will 
be 
achieved 
through 
: 
wide-­‐reaching 
roll 
out 
of 
integrated, 
scalable, 
sustainable 
Smart 
City 
solu9ons 
– 
specifically 
in 
areas 
where 
• energy 
produc4on, 
distribu4on 
and 
use; 
• 
mobility 
and 
transport; 
• and 
informa4on 
and 
communica4on 
technologies 
are 
in8mately 
linked.
2014
Stockholm 
: 
Traffic 
Conges8on 
City 
traffic 
decrease 
by 
18% 
CO2 
emission 
decrease 
14-­‐18 
%
Smart 
City 
in 
United 
States 
Smart 
Grid 
– 
NEMA 
Report 
(2011) 
NEMA 
: 
Associa6on 
of 
electrical 
and 
medical 
imaging 
equipment 
manufacturers 
(US)
Smart 
Grid 
– 
NEMA 
Report 
(2011)
Smart 
Grid 
– 
NEMA 
Report 
(2011)
Smart 
Grid 
– 
NEMA 
Report 
(2011)
Novembre 
2013
Smart 
City 
in 
INDIA
July 
18, 
2014
SMART 
CITY 
in 
UK 
New 
ini8a8ve 
to 
support 
$40 
billion 
smart 
ci8es 
in 
the 
UK 
October, 
9, 
2013
Smart 
City 
JAPAN
Rio 
de 
Janeiro 
Smart 
City 
IBM, 
January 
2011 
Rio 
Opera8ons 
Center 
(control 
room) 
• Ini4al 
focus 
was 
floods, 
soil 
sliding 
and 
emergency 
• The 
scope 
considerably 
extended 
to: 
transporta4on, 
water, 
weather 
and 
energy
Smart 
City 
in 
Africa 
2014
IBM
CISCO
NEC 
helps 
realize 
Smart 
Ci8es 
by 
offering 
five 
leading 
technologies:
www.forbes.com 
June 
19, 
2014 
Sarwant 
Singh 
hdp://www.forbes.com/sites/sarwantsingh/2014/06/19/smart-­‐ci4es-­‐a-­‐1-­‐5-­‐trillion-­‐market-­‐ 
opportunity/
Big 
Data 
and 
Smart 
City
Big 
data 
: 
Set 
of 
technologies 
and 
prac8ces 
to: 
• Collect 
and 
store 
large 
amounts 
of 
data 
• Analyze 
large 
and 
varied 
data 
very 
quickly.
Big 
data 
: 
• Enormous 
amounts 
of 
both 
structured 
and 
unstructured 
data, 
• 
Difficult 
to 
manage 
with 
conven8onal 
storage 
solu8ons 
and 
treatment. 
• 
They 
come 
from 
various 
sources 
and 
are 
(mostly) 
produced 
in 
real 
8me.
Open 
data 
: 
Open 
data 
: 
data 
that 
can 
be 
freely 
used, 
shared 
and 
built-­‐on 
by 
anyone, 
anywhere, 
for 
any 
purpose.
Requirements 
for 
open 
data 
Legal 
openness: 
you 
must 
be 
allowed 
to 
get 
the 
data 
l, 
to 
build 
on 
it, 
and 
to 
share 
it. 
Technical 
openness: 
there 
should 
be 
no 
technical 
barriers 
to 
using 
that 
data 
(machine 
readable)
Big 
Data 
: 
major 
role 
in 
the 
society 
of 
tomorrow 
• Research, 
Educa4on, 
• health 
• Sustainable 
development, 
transport, 
• security 
• Marke4ng, 
customer 
services,
Big 
Data 
-­‐ 
the 
3V 
: 
Variety, 
Velocity 
and 
Volume.
4th 
"V" 
= 
Value 
Big 
Data 
has 
an 
important 
societal 
or 
(and) 
economic 
value
Data 
Analysis 
of 
Big 
data 
Objec4ve: 
• Understanding 
complex 
phenomena 
(Research,..) 
• Elabora4on 
of 
socio-­‐economic 
strategy 
(health, 
educa4on, 
transport, 
…) 
• Process 
op4miza4on 
• Understand 
customer 
expecta4ons, 
• Establish 
business 
strategies
Big 
Data 
Mining 
profession 
Complex 
profession 
requiring: 
• Group 
work 
(data 
providers, 
users, 
Math, 
info, 
Applied 
Sciences,….) 
• Good 
scien4fic 
background, 
• Knowledge 
of 
methods 
of 
data 
analysis, 
• Good 
knowledge 
of 
computer 
technology 
• Taste 
for 
"business" 
applica4on
Personal 
data 
EU 
Data 
Protec8on 
Direc8ve 
(95/46/EC) 
: 
« 
Personal 
data 
» 
: 
any 
informa4on 
rela4ng 
to 
an 
iden4fied 
or 
iden4fiable 
natural 
person 
Iden8fiable 
person 
: 
who 
can 
be 
iden4fied, 
directly 
or 
indirectly, 
in 
par4cular 
by 
reference 
to 
an 
iden4fica4on 
number 
or 
to 
one 
or 
more 
factors 
specific 
to 
his 
physical, 
physiological, 
mental, 
economic, 
cultural 
or 
social 
iden4ty.
Big 
Data 
Movies 
: 
B1 
to 
B5
Smart 
City 
Implementa8on
Health, 
Educa4on 
Art, 
Culture, 
commerce,
City 
Big 
Data
Implementa8on 
of 
the 
smart 
city 
? 
City 
Campus
The 
Smart 
City 
implementa8on 
journey 
Step 
1: 
Establish 
the 
need 
and 
strategy 
• Understand 
the 
need 
and 
the 
challenges 
of 
the 
city 
(urban 
system) 
and 
how 
the 
SC 
concept 
could 
respond 
to 
these 
challenges. 
• Based 
on 
the 
diagnos4c 
phase, 
establish 
a 
mul4-­‐phase 
strategy 
with 
milestones 
• Establish 
a 
government 
model 
for 
the 
smart 
city
The 
Smart 
City 
implementa8on 
journey 
Step 
2 
: 
Data 
collec8on 
• Data 
concerning 
the 
physical 
urban 
infrastructures 
(Geographic 
Informa4on 
System 
GIS) 
• Smart 
Monitoring 
of 
urban 
infrastructures 
(smart 
sensors 
and 
actuators) 
• Data 
concerning 
the 
urban 
environment 
as 
well 
as 
urban 
usages
The 
Smart 
City 
implementa8on 
journey 
Step 
3 
: 
Communica8on 
Build 
real 
4me 
bi-­‐direc4onal 
communica4on 
with 
urban 
system 
as 
well 
as 
with 
the 
city 
stakeholders 
: 
• Combining 
wired 
and 
contactless 
technology, 
• Heterogeneous 
sensors 
and 
protocols, 
• Reliability, 
Cyber 
security, 
• Energy 
saving
The 
Smart 
City 
implementa8on 
journey 
Step 
4 
: 
Data 
analysis 
• Technology 
and 
sojware 
to 
store 
and 
analyse 
huge 
amount 
of 
data 
(Big 
Data) 
(real-­‐4me) 
• Develop 
predic4on 
model 
based 
on 
the 
historical 
and 
geo-­‐localized 
data
The 
Smart 
City 
implementa8on 
journey 
Step 
5 
: 
Protocols 
Establish 
protocols 
for 
• Op4mal 
management, 
• Crisis 
management, 
• Implica4on 
of 
end-­‐users 
• New 
services 
(business)
The 
Smart 
City 
implementa8on 
journey 
Strategy 
for 
policy-­‐makers 
• Use 
the 
data, 
analy4cs,… 
to 
establish 
urban 
development 
and 
investment 
strategy 
• Innovate 
in 
the 
socio-­‐economic 
model 
(taxes, 
private-­‐public 
partnerships, 
social 
aid,…-­‐
The 
Smart 
City 
implementa8on 
journey 
Itera8ve 
procedure: 
• Improvement 
• Extension 
• New 
services 
Implementa4on 
Tes4ng 
Usage 
Stakeholders 
back-­‐field 
and 
demand

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Professor Isam Shahrour Summer Course « Smart and Sustainable City » Chapter 3 “Introduction to the Smart City” American University of Science and Technology August 2014.

  • 1. Sustainable and Smart City : AUST Summer Course Chapter 3 : Introduc8on to Smart City Professor Isam SHAHROUR Isam.shahrour@univ-­‐lille1.fr
  • 2. City Popula4on Expansion (Explosion) Energy & water consump4on Greenhouse emission Climate Change Traffic conges4on Air, water & soil pollu4on The City Challenges Financial & economic Crises Increase demand for life quality & comfort Gouvernance par4cipa4on Poverty Slums Society aging Health & educa4on Housing
  • 3. We have to transform our city Infrastructure Housing Urbaniza8on Management (governance) Statement : Huge Financial and economic crises Sustainable City Env-­‐ responsible Social -­‐responsible Digital technology revolu8on Futur genera8on (Smart City Concept)
  • 4. Facing the 2th century challenges Infrastructures City transforma8on Governance Buildings
  • 5. Two strategies Improve the buildings and infrastructure quality Large investment, takes 6me.. In Europe new buildings represent about 1% of the buildings stock annually Improve the infrastructure management (Digital technology) Low investment, rapid implementa6on
  • 6. DLeigs irtéasl eRaeuvxo lsuo8coianu x • Communica4on • Social network • Mobile • Internet of things
  • 8. Smart Technology Smart governance SMART CITY
  • 9. More data BIG DATA digital, images, movies, audios Health, Educa4on Art, Culture
  • 10. Smart city technology allows • Real-­‐8me monitoring (Urban systems as well as other urban related data) • Rapid ac8on in the case of abnormal event (leakage, contamina8on, overload,..) • Op8mal management of resources • Stakeholders implica8on and par8cipa8on • Development of predic8ve models
  • 11. Smart City Technology movies A3 Cisco Smart Grid -­‐ HD Version A4 Alsthom Architecture of a Smart Grid A5 Smart Grid Denmark -­‐ the intelligent power grid of the future A6 Smart ci8es in the new urban world Peter Nijkamp at TEDxUdG
  • 13. Smart Grid historical perspec8ve
  • 14.
  • 18. Survey in 15 ci8es across the world
  • 20. Ci8es Classifica8on: • Emerging ci4es: Popula4on Growth 3 to 6 % • Transi4onal ci4es : Popula4on Growth 2 to 3 % • Mature Ci4es : Popula4on Growth 1 to 2 %
  • 21.
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  • 25. Smart City in EUROPE
  • 26.
  • 27. Why ? Ci4es are becoming more and more a focal point for our economies and society, because of : • On-­‐going urbaniza4on • increasingly knowledge-­‐intensive economies • their growing share of resource consump4on and emissions.
  • 28. Why ? To meet public policy objec4ves under these circumstances, Ci4es need to change and develop, but in 4mes of 8ght budgets this change needs to be achieved in a smart way: our ci8es need to become 'smart ci8es'.
  • 29. Triple boeom line gain for Europe: • A significant improvement of ci4zens' quality of life, • An increased compe44veness of Europe's industry • Strong contribu4on to sustainability and the EU’s 20/20/20 energy and climate targets EU’s 20/20/20 energy and climate targets In 2020 (compared to 1990) : • 20% reduc4on in CO2 emissions • 20% coming from renewables • 20% increase in energy efficiency.
  • 30. Triple boeom line gain for Europe: This will be achieved through : wide-­‐reaching roll out of integrated, scalable, sustainable Smart City solu9ons – specifically in areas where • energy produc4on, distribu4on and use; • mobility and transport; • and informa4on and communica4on technologies are in8mately linked.
  • 31.
  • 32. 2014
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  • 43. Stockholm : Traffic Conges8on City traffic decrease by 18% CO2 emission decrease 14-­‐18 %
  • 44. Smart City in United States Smart Grid – NEMA Report (2011) NEMA : Associa6on of electrical and medical imaging equipment manufacturers (US)
  • 45. Smart Grid – NEMA Report (2011)
  • 46. Smart Grid – NEMA Report (2011)
  • 47. Smart Grid – NEMA Report (2011)
  • 48.
  • 50. Smart City in INDIA
  • 52. SMART CITY in UK New ini8a8ve to support $40 billion smart ci8es in the UK October, 9, 2013
  • 54. Rio de Janeiro Smart City IBM, January 2011 Rio Opera8ons Center (control room) • Ini4al focus was floods, soil sliding and emergency • The scope considerably extended to: transporta4on, water, weather and energy
  • 55. Smart City in Africa 2014
  • 56.
  • 57.
  • 58.
  • 59. IBM
  • 60. CISCO
  • 61. NEC helps realize Smart Ci8es by offering five leading technologies:
  • 62. www.forbes.com June 19, 2014 Sarwant Singh hdp://www.forbes.com/sites/sarwantsingh/2014/06/19/smart-­‐ci4es-­‐a-­‐1-­‐5-­‐trillion-­‐market-­‐ opportunity/
  • 63.
  • 64.
  • 65.
  • 66. Big Data and Smart City
  • 67. Big data : Set of technologies and prac8ces to: • Collect and store large amounts of data • Analyze large and varied data very quickly.
  • 68. Big data : • Enormous amounts of both structured and unstructured data, • Difficult to manage with conven8onal storage solu8ons and treatment. • They come from various sources and are (mostly) produced in real 8me.
  • 69. Open data : Open data : data that can be freely used, shared and built-­‐on by anyone, anywhere, for any purpose.
  • 70. Requirements for open data Legal openness: you must be allowed to get the data l, to build on it, and to share it. Technical openness: there should be no technical barriers to using that data (machine readable)
  • 71. Big Data : major role in the society of tomorrow • Research, Educa4on, • health • Sustainable development, transport, • security • Marke4ng, customer services,
  • 72. Big Data -­‐ the 3V : Variety, Velocity and Volume.
  • 73. 4th "V" = Value Big Data has an important societal or (and) economic value
  • 74. Data Analysis of Big data Objec4ve: • Understanding complex phenomena (Research,..) • Elabora4on of socio-­‐economic strategy (health, educa4on, transport, …) • Process op4miza4on • Understand customer expecta4ons, • Establish business strategies
  • 75. Big Data Mining profession Complex profession requiring: • Group work (data providers, users, Math, info, Applied Sciences,….) • Good scien4fic background, • Knowledge of methods of data analysis, • Good knowledge of computer technology • Taste for "business" applica4on
  • 76. Personal data EU Data Protec8on Direc8ve (95/46/EC) : « Personal data » : any informa4on rela4ng to an iden4fied or iden4fiable natural person Iden8fiable person : who can be iden4fied, directly or indirectly, in par4cular by reference to an iden4fica4on number or to one or more factors specific to his physical, physiological, mental, economic, cultural or social iden4ty.
  • 77.
  • 78. Big Data Movies : B1 to B5
  • 80. Health, Educa4on Art, Culture, commerce,
  • 82. Implementa8on of the smart city ? City Campus
  • 83.
  • 84. The Smart City implementa8on journey Step 1: Establish the need and strategy • Understand the need and the challenges of the city (urban system) and how the SC concept could respond to these challenges. • Based on the diagnos4c phase, establish a mul4-­‐phase strategy with milestones • Establish a government model for the smart city
  • 85. The Smart City implementa8on journey Step 2 : Data collec8on • Data concerning the physical urban infrastructures (Geographic Informa4on System GIS) • Smart Monitoring of urban infrastructures (smart sensors and actuators) • Data concerning the urban environment as well as urban usages
  • 86. The Smart City implementa8on journey Step 3 : Communica8on Build real 4me bi-­‐direc4onal communica4on with urban system as well as with the city stakeholders : • Combining wired and contactless technology, • Heterogeneous sensors and protocols, • Reliability, Cyber security, • Energy saving
  • 87. The Smart City implementa8on journey Step 4 : Data analysis • Technology and sojware to store and analyse huge amount of data (Big Data) (real-­‐4me) • Develop predic4on model based on the historical and geo-­‐localized data
  • 88. The Smart City implementa8on journey Step 5 : Protocols Establish protocols for • Op4mal management, • Crisis management, • Implica4on of end-­‐users • New services (business)
  • 89. The Smart City implementa8on journey Strategy for policy-­‐makers • Use the data, analy4cs,… to establish urban development and investment strategy • Innovate in the socio-­‐economic model (taxes, private-­‐public partnerships, social aid,…-­‐
  • 90. The Smart City implementa8on journey Itera8ve procedure: • Improvement • Extension • New services Implementa4on Tes4ng Usage Stakeholders back-­‐field and demand