Ten rules to fail and succeed in smart cities project

Claude Rochet

Ten rules to fail and succeed in a smart city project

Prof. Claude Rochet

[email protected]@finances.gouv.fr

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mailto:[email protected]


The French experience: the city as a system with multiple equilibrium

• A cluster dedicated to

smart cities: Advancity

• Pilot research projects

with large enterprises,

SME, and research

laboratories

• Return of experiences on

both national and int’l

basis

une approche par la modélisation systémique

A set of 10 rules to conceive and monitor the city as a complex system

ConceptionConception OwnershipOwnership

Continuous innovation

Continuous innovationSafety and resilienceSafety and resilience

#1 Technology is NOT an end in itself : it’s an add-on, real life must come first

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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?




#2 Think the city as o system of system (SoS)




Organ 1Organ 1 Organ 2Organ 2 Organ 3Organ 3 Organ nOrgan n

Function 1Function 1 Function 1Function 1 Function 1Function 1 Function 1Function 1

SoS 1SoS 1 SoS nSoS n

CityCity

Technical organs

Functions to be

delivered

Emerging

results

#3: Design a monitorable system to avoid being monitored by it

17/02/2014




Define the limits of the city!Avoid city spread as oil stain!

#4 Think in terms of patterns, not addition of technologies

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A pattern defines a function the city must comply with the objective “Why the city” and therefore sets constraints to be respected by the designer.

#5 Do not rely on a single OS

• Conceive the city

OS weblike able to

evolve organically

with open

standards and open

source software




#6 Make the code transparentConceptionConception OwnershipOwnership



Who will regulate the regulator?

#7 Take care of public ownership on data, soft & hardware




#8 Invest in civic labs as places for experimentation




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Lev

els

of c

omp

lexi

ty

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

PolycentricGovce




#9 The task of Gov’t is to foster thinking across discipline in a joint innovation process

#10 Invest in reliability and resilience: always test the worst scenario!




StabilityStability

CrisisCrisis

Reinventing

Reinventing

Reinventing the code

Reinventing the code

An ongoing case study: Improving social capital, bottom-up vs. top-down: The case of Christchurch (NZ)

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Chinese vision of smart cities challenge: innovation or slum?

In the search of increasing returns by correlating urbanization and innovation

Merci!

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[email protected]+33 6 76 04 67 90


Ten rules to fail and succeed in smart cities project

Design

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