Lecture 1 Smart City concept - English.pdf

In this lecture professor Isam Shahrour presents the concept of the Smart City in English.
He explains the why of the smart city (need and challenges), the use of the digital technology to address these challenges, and the smart city architecture and implementation through some examples.

1. Master Urban Engineering and Habitat
(2021 –2022)
Course Smart City
Professor Isam SHAHROUR
[email protected]

2. Course organisation
Project

3. Master Urban Engineering and Habitat
(2022 –2023)
Course Smart City
Ch1: Smart City concept
Professor Isam SHAHROUR

4. Scientific papers about the smart city
Publications

5. Smart City
•Challenges ?•Solution
•Intelligence (Inspired from human)
•Eco-and socio-friendly (focus on human)

6. Q1: The Smart city concept?
Q2: Smart city implementation ?
Q3: Smart city indicators ?
3 Questions

7. Q1: The Smart city concept?
Q2: Smart city implementation ?
Q3: Smart city indicators ?
3 Questions

8. Major challenges related to the city (physical, management, services,….)
Urban –Developed countries

9. Lack of infrastructures
Aging buildings
Aging
infrastructures
Old management
Poor
maintenance
The City: Combination of critical factors

10. The
City
Social and Economic
•Population growth
•Aging
•Poverty
•Unemployment
•Governance
City under increasing pressure …
Built-Environment
•Aging
•Lack
•Adaptation to new
challenges
Environment
•Congestion
•Climate change
•Pollution
Hazards
•Natural
•Industrial
•Social

11. Solution strategies
City
Built environment
(Infrastructures & Buildings)
The Community
Governance &
management
Smart Solution: Do more with less
1) Renovation/update of infrastructures
•Takes long time
•Requires huge investment
2) Smart City solution
•Could be implemented rapidly
•Lower cost
•More efficient

13. Smart Grid –NEMA Report (2011)
NEMA : Association of electrical and
medical imaging equipment
manufacturers (US)

14. Smart City
Concern

15. China
200 projectsIndia
100 projects
https://qz.com/998970/kigalis-vision-city-and-lagos-eko-atlantic-are-among-
several-smart-city-initiatives-taking-off-in-africa/
Europe

16. Human Intelligence
Experience (learning Capacity)
SensingCognitiveActions

17. Intelligent system
Urban System
Sensing Layer
Information
system
Analysis capacity
(Engineering, IT)
Control layer
Virtuous actions
Digital
Model

18. Role of the digital technology

19. Digital Technology: connect people and things
Geo-Localized
Connected (IoT
Network)
Storage and
Analysis capacity
Operate actions

20. Smartphone: high sensing capacity

21. Advanced technology for data collection

22. https://web-assets.domo.com/blog/wp-content/uploads/2014/04/DataNeverSleeps_2.0_v2.jpg
Social Media: Semantic analysis
Geo-localized content
Useful anonymous information for the
City management
(emotional data included)
Semantic analysis

23. 2016
2017
2015
2014
Papers: Social media & semantic analysis in urban studies

24. High capacity in data analysis and learning

25. 2014
2017
2017
2015
Papers: Artificial Intelligence in urban studies

26. Digital technology in the City
1) City Digital Model (2D, 3D, Semantic)
GIS, BIM, Civil 3D
Photogrammetry,
CityGMLDigital model of the city
-Geo-reference
-Attributes
-Semantic

27. Digital technology in the City
•See
•Analyze
•Understand
•Operate actions:
•Optimization
•Security
2) Monitoring & control
Real-time

28. •See
•Analyze
•Understand
•Take collective decision
•Operate actions:
•Optimization
•Security
3) Interaction with the community
Digital technology in the City
Governance

29. Health, Education
Art, Culture
BIG DATA
digital, images, movies,
audios
4) More data

31. Smart Cities Barcelona

32. Introduction to Montreal's Smart City Plan
by Montreal City Council Chairman HaroutChitilian, 2017

33. Q1: The Smart City Concept?
Q2: Smart City implementation ?
Q3: Smart City indicators ?
3 Questions

34. Smart city solution
City
Campus

35. Smart City
Platform
Digital tools
(Analysis, graphic,
user’s interface)
Information system
Big data: structured and
unstructured data)
IoT
(sensors)
PeopleExternal
sources
Sensing & control
Centralized & Distributed
X

36. PlatformInformation
System
•Assets Data (GIS, BIM)
Data transmission:
•Wired
•Wireless
•Buildings
•Urban network
Sensors &
Actuators
•Recorded data (sensors)
Other data
•Environment
•Transport
•Administration
•Other data
Web
Server
•Technical staff
•Users
Analytics
Smart city system

37. Smart city
Implementation

38. Smart city
Implementation

39. Smart city
Implementation

40. Smart city
Implementation

42. Smart city
Implementation

43. Data-based (Knowledge)
(Real-time & historical)
Security & Resilience
•Rapid action in case of
abnormal event
•Learning from events
Comprehensive
(technical, social, economic,..)
Optimization
Improves systems’
efficiency
Governance:
Democratic, transparent, citizens’
participation

44. Savings in the construction and in running costs largely
cover expenses of the smart system implementation

45. Q1: The Smart City Concept?
Q2: Smart City implementation ?
Q3: Smart city indicators ?
3 Questions

46. European project

47. Smart City indicators

48. Smart City indicators

49. Likert scale

51. Smart City indicators

53. Smart City indicators

56. Smart City indicators

59. Smart City indicators

60. •Smart Economy
•Smart Mobility
•Smart environment
•Smart people
•Smart Living
https://www.urbansolutions.es/en/blog/95-big-
data-and-smart-cities/130-local-government-kpis-
that-measure-the-success-of-a-smart-city-project
Smart city indicators

61. Smart Economy

62. Smart Mobility

63. Smart environment

64. Smart people

65. Smart Living

66. Example –SunRiseSmart City project

67. Scientific Campus – Lille University
Petite ville
• 25 000 usagers
•140 Bâtiments
100 km de réseaux urbains
•Eau potable
•Assainissement
•Electricité
•Chauffage urbain
•Eclairage public

68. Mise en place des coopérations

69. Un très grand nombre d’étudiants : doctorat, master

70. European Smart Water project
SmartWater4Europe
TWUL Demo site
London
Burgos VIP
Leeuwarden
Lille Demo site

71. Grand rayonnement

72. www.ishahrour.com

73. Summary and conclusion

74. SunRise Smart City project
Scientific City campus

75. The
City
Social and Economic
•Population growth
•Aging
•Poverty
•Unemployment
•Governance
City under increasing pressure …
Built-Environment
•Aging
•Lack
•Adaptation to new
challenges
Environment
•Congestion
•Climate change
•Pollution
Hazards
•Natural
•Industrial
•Social
Solution strategies
City
Built environment
(Infrastructures & Buildings)
The Community
Governance &
management
Smart Solu*on: Do more with less
1) Renovation/update of infrastructures
•Takes long time
•Requires huge investment
2) Smart City solution
•Could be implemented rapidly
•Lower cost
•More efficient
Smart city: Intelligent solution to cope with the city challenges

76. Inspired from Human Intelligence

77. Smart City
Platform
Digital tools
(Analysis, graphic,
user’s interface)
Information system
Big data: structured and
unstructured data)
IoTPeopleExternal
sources
Sensing & control
Centralized & Distributed
X
Smart City: Based on data collection and analysis

78. Smart city indicators