Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Claude Rochet
Urban lifecycle management :
A research program for smart
government of smart cities
Prof. Claude Rochet
Cla...
What means “Smart”= presence of
a learning feedback loop
2
Action Effect
feedback
from 0,0001sec. to a génération
Sensors
...
When speaking of smart cities, what
does it means?
Efficient urbanization
Inclusive urbanization
Sustainable
urbanization
...
The smart city and the temptation of the
totalitarian utopia
• Utopia= A perfect city
in a perfect world
1896
1517
1623
18...
Is modeling a smart city possible?
• A dead end: The temptation of
the ideal city : XX century garden
cities, techno-pushe...
Claude Rochet
Our basic assumptions
• A smart city is not putting lipstick on a bulldog
• A smart city is an ecosystem tha...
What modelling means?
The Lego game:
• The construction is based on
standardized building blocks
• No two figures are alik...
Claude Rochet
A rationale for a smart city a system architect:
A three steps approach
• Strategic analysis
• Inventorying ...
A rationale for a smart city a system architect:
1- Strategic analysis
9
Why building a city & what
are the strategic goal...
Claude Rochet
A rationale for a smart city a system
architect:
2- Inventorying the “building blocks”
11/09/2014
10
Issues
...
Claude Rochet
11/09/2014
11
A rationale for a smart city a system architect:
3- Integration of the building blocks
Soft do...
Problems in smart cities ecosystem
modeling
Hard systems may
be models thanks
to the laws of
physics
(conservative
systems...
Claude Rochet
A tool to design and monitor the ecosystem:
ULM (Urban Lifecycle Management©
)
13
Maturityofecosystemicprope...
Some critical points: Data
14
Legacy: How the city has evolved in
the past
•Hard data: statistics
•Soft data: human memory...
Some critical points: Monitoring
evolution and innovation
15
Innovation within building blocks has different speeds
With s...
Power to technology or
to citizens?
Correlations => Induction
Deduction =>Hypotheses
Where is the brain?
Existing knowledge
Some critical points: Improving social capital,
bottom-up vs. top-down: The case of
Christchurch (NZ)
17
Citizen produce ideas
Producing and structuring ideas
Smart government
• Design the business model
of the city based on
patterns
• Vibrant political life
• Open innovation all ...
Integration of disciplines
21
Levelsofcomplexity
City
Functions
Citizens
Complex systems
engineering
Extended P.A Politica...
The research and training program
• Integrating and upgrading into smart cities issues the
basics of complex systems archi...
Merci!
23
Thank you!
Upcoming SlideShare
Loading in …5
×

URBAN LIFECYCLE MANAGEMENT : a RESEARCH PROGRAM FOR SMART GOVERNMENT OF SMART CITIES

720 views

Published on

Presentation at EGPA Toulouse August 2015

  • Be the first to comment

  • Be the first to like this

URBAN LIFECYCLE MANAGEMENT : a RESEARCH PROGRAM FOR SMART GOVERNMENT OF SMART CITIES

  1. 1. Claude Rochet Urban lifecycle management : A research program for smart government of smart cities Prof. Claude Rochet Claude.rochet@univ-amu.fr 1
  2. 2. What means “Smart”= presence of a learning feedback loop 2 Action Effect feedback from 0,0001sec. to a génération Sensors Data TreatmentInterpretation Usage Decision Technologies Social sciences Iconomy
  3. 3. When speaking of smart cities, what does it means? Efficient urbanization Inclusive urbanization Sustainable urbanization 3 Complex System Architecture: What are the key functions and their (un) desirable interactions? Complex System Architecture: What are the key functions and their (un) desirable interactions? System Integration: Granting people the same capacity to interact and have control over the urban system System Integration: Granting people the same capacity to interact and have control over the urban system Ecosystem modeling: Autopoiesis, resilience, scalability, innovation coordination Ecosystem modeling: Autopoiesis, resilience, scalability, innovation coordination
  4. 4. The smart city and the temptation of the totalitarian utopia • Utopia= A perfect city in a perfect world 1896 1517 1623 1898 Are IT the new totalitarian utopia?
  5. 5. Is modeling a smart city possible? • A dead end: The temptation of the ideal city : XX century garden cities, techno-pushed approaches Masdar, Songdo… • A city is a living system 5
  6. 6. Claude Rochet Our basic assumptions • A smart city is not putting lipstick on a bulldog • A smart city is an ecosystem that includes the city and its periphery • A smart city is a city where one may live and work in: o Economic wealth creation o Social life o Common weal • A resilient architecture: o A living system based on cooperation between public authorities, private corp., citizens o A properly designed architecture made with off-the-shelf components o Systemic resilience is leveraged using IT • A sea change in firms business models and public administration. What is our shared vision?What is our shared vision? 11/09/2014 6
  7. 7. What modelling means? The Lego game: • The construction is based on standardized building blocks • No two figures are alike • Building is made using patterns: rules of integration using semantic + syntax • The final result in an integration of all the building blocks which is specific to needs and specifications 7
  8. 8. Claude Rochet A rationale for a smart city a system architect: A three steps approach • Strategic analysis • Inventorying the building blocks • Integrating the ecosystem • Strategic alignment 8 Must do May do How to do it?
  9. 9. A rationale for a smart city a system architect: 1- Strategic analysis 9 Why building a city & what are the strategic goals? Who are the stakeholders? What are the generic functions to be performed by a smart city? With which organs? Technical devices, software… With which smart people? Conception, metamodel framework, steering Subsystems and processes People and tools Why designing this ecosystem? Who will live in the city? What are its activities? How the city will be fed? Where the city is located ? (context) What are the functions to be performed to reach the goals and how do they interact? With which organs and ressources? How people will interact with the artifacts? How civic life will organize?
  10. 10. Claude Rochet A rationale for a smart city a system architect: 2- Inventorying the “building blocks” 11/09/2014 10 Issues • Defining “smartness” and “sustainability” • Wealth creation • Finance and taxes • Controlling pollution • Equilibrium center – periphery • Migrations • Poverty • Education • Health • Crime • Segregation (social and spatial) • Leisure • Quality of life • How people interact with people and artifacts? • The New Business Models: • Public • Private • Project management • Institutional arrangements • The day to day decision making process in an evolutionary perspective • Empowerment • Direct democracy • Government • Governance • Project management • Social innovation • The state as a system engineer • Mastering ULM • The New Business Models: • Public • Private • Project management • Institutional arrangements • The day to day decision making process in an evolutionary perspective • Empowerment • Direct democracy • Government • Governance • Project management • Social innovation • The state as a system engineer • Mastering ULM Functions • Work • Budgeting • Transportatio n • Feeding • Caring • Protecting • Securing • Housing policy • Education • Leisure • Social benefits • Health care system • Migrations control Resources • Energy • Water • Data • Digital Systems • Traditions • Sociology • Technologies as enablers and enacters • Culture and traditions • Institutions and public organizations • Process modeling • Software • Tech providers • Open innovation Capabilities
  11. 11. Claude Rochet 11/09/2014 11 A rationale for a smart city a system architect: 3- Integration of the building blocks Soft domains Hard domains SMART city TransportationIndustry WorkHousing Sanitation EnergyWater Waste recycling Public services Health care Civic life Leisure Education Social integration GovernmentEconomy Institutional scaffolding Social life Periphery City Urban ecosystem Territory Commercial exchanges Food
  12. 12. Problems in smart cities ecosystem modeling Hard systems may be models thanks to the laws of physics (conservative systems) Soft systems can’t be modeled with the laws of physics (dissiptive systems) - Social siences - Big data - Multi-agents modeling The key of the success is here… … while business is there System integration, a key competency to be developed
  13. 13. Claude Rochet A tool to design and monitor the ecosystem: ULM (Urban Lifecycle Management© ) 13 Maturityofecosystemicproperties Development From history, social intelligence, idea, to framework Integrating off-the- shelves innovation Functional integration Technical integration Designing the engineering ecosystem Project management City 1.0 Gathering data and understanding ecosystem evolution Evaluating, correcting and upgrading Sustainable City 1.0 Integrating innovation City 2.0 Risk of collapse Losing ecosystemic properties Permanent improvement Financial governance Socio political cycle Innovation cycle New City
  14. 14. Some critical points: Data 14 Legacy: How the city has evolved in the past •Hard data: statistics •Soft data: human memory => understanding the technological trajectory and social capital Present and future: Understanding how the city is evolving •Observatory for hard and soft data •Big data => Evaluating the scalability and resilience, improving social capital
  15. 15. Some critical points: Monitoring evolution and innovation 15 Innovation within building blocks has different speeds With smart networks innovation cycles are connected: (before, no): a permanent challenge The city dweller is the decider in last resort of the impact of any innovation on the city life: Good/Bad, useful/unusual, improve/kill
  16. 16. Power to technology or to citizens? Correlations => Induction Deduction =>Hypotheses Where is the brain? Existing knowledge
  17. 17. Some critical points: Improving social capital, bottom-up vs. top-down: The case of Christchurch (NZ) 17
  18. 18. Citizen produce ideas
  19. 19. Producing and structuring ideas
  20. 20. Smart government • Design the business model of the city based on patterns • Vibrant political life • Open innovation all along the city life cycle 20
  21. 21. Integration of disciplines 21 Levelsofcomplexity City Functions Citizens Complex systems engineering Extended P.A Political philosophy Complex system modeling Interaction and synergies Social networks and interactions Overlaps and interactions Common good as an emergence and structuring finality Ends and means of wealth creation Civic implication Polycentric Govce
  22. 22. The research and training program • Integrating and upgrading into smart cities issues the basics of complex systems architecture as a basic baggage for SC stake holders • Learning by doing: Applied research to the building of pilot projects • Convergence of disciplines: engineering, social sciences, urban sociology, system architecture, political philosophy, complex decision making 22
  23. 23. Merci! 23 Thank you!

×