European Smart Cities in Practice

Cases, Failures, and What They Tell Us

By the end of this session

• Recognise why smart city initiatives succeed or fail through governance, equity, and institutional factors — not just technology
• Navigate EU policy frameworks as the structural context behind planning decisions
• Apply case evidence critically to support a research or planning argument

• These goals are designed to be reusable year to year — the cases are tools, not the point
• Emphasise: today is not about memorising cases. It is about learning to read them critically
• The third goal connects directly to the group project — students will use these cases as evidence in their final work

How this session works

1. Lecture: six categories, one anchor case each, one contrast each
2. Group work: browse the reference list, pick 1–2 cases, build 3–4 slides
3. Presentations: 7 min per group — your project + why these cases matter to it

During the lecture: note which cases feel relevant to your project. You do not need to understand everything — you need to find your entry point.

Climate Adaptation & Resilience

When cities plan for the climate they have, not the one they wish for

The EU legislative context

Framework	Year	What it requires
EU Climate Law	2021	Legally binding: net-zero by 2050, 55% reduction by 2030
EU Adaptation Strategy	2021	Smarter, faster, systemic adaptation; NbS and data-informed planning
Covenant of Mayors	Ongoing	10,000+ cities; each must produce a Sustainable Energy and Climate Action Plan (SECAP)
EU Mission: 100 Smart Cities	2021	100 cities to climate neutrality by 2030 as “lighthouses”
Cohesion Policy / ERDF	Ongoing	Major funding stream for climate infrastructure

• Stress: these create obligations and funding streams, not aspirations
• The Mission Cities programme has a built-in exclusion risk — well-resourced cities qualify; smaller ones don’t

Copenhagen Cloudburst Management Plan (2012)

A flood becomes a planning opportunity

• 2011: record cloudburst causes DKK 6bn damage in a single afternoon
• Copenhagen responds with a 20-year, DKK 14bn climate adaptation masterplan
• Combines sensor-based rainfall monitoring, green-blue corridors, retention basins, redesigned streets
• The plan is public infrastructure with a maintenance model — not a pilot, not a product
• Participatory process embedded from the start — residents shaped route priorities

• Now the reference case for data-informed, NbS-integrated climate adaptation in Europe
• The tech only works because the institution had capacity to act on the data
• Key framing: the cloudburst plan is also an urban design project — streets, parks, and squares were redesigned. Smart ≠ invisible.
• Connect to Unit 3: the plan creates a new feedback loop between rainfall data and infrastructure investment decisions

Copenhagen Cloudburst Management Plan (2012)

The Vendor Trap in Climate Tech

Technology delivered. Decisions didn’t change.

• Several EU cities purchased real-time flood monitoring platforms (2015–2020)
• Sensors installed, dashboards built, data flowing
• But: no integration with planning workflows
• No staff trained to act on alerts; no political mandate to adapt infrastructure
• Platform contracts expired — cities returned to the same flood risk as before

Data without institutional capacity is decoration.

• No need to name a specific city — this is a pattern, not an exception
• The failure was not technical. The procurement happened before the governance question was answered.

Climate adaptation is a governance problem with a data layer

not the reverse!

Energy Transition & Buildings

Smart grids, renovations, and who benefits

The EU legislative context

Framework	Year	What it requires
EU Renovation Wave	2020	Double renovation rate by 2030; 35 million buildings. Buildings = 40% of EU energy use.
Energy Performance of Buildings Directive (EPBD)	2024	All new buildings zero-emission from 2028; mandatory EPC labelling; digital building logbooks
Energy Communities Directive	2018	Citizens have the legal right to collectively produce, consume, and share renewable energy
REPowerEU	2022	Accelerated renewable deployment; energy security post-Ukraine
EU Digital Decade 2030	2021	10,000 climate-neutral data centres; smart grid targets linked to 5G

• The Renovation Wave is the single largest intervention point for urban energy — not sensors, not platforms
• The Energy Communities Directive enables the prosumer model — this is the legal basis for citizen-owned energy

Vienna Seestadt Aspern

What public ownership of smart infrastructure looks like

• Vienna’s largest urban development: 240 hectares, 20,000 planned residents
• Municipally led — the city owns the land, the energy infrastructure, and the data platform
• Integrates: social housing (30% affordable), district energy network, smart mobility hub, open data
• No vendor lock-in: open standards specified in contracts from day one
• Digital infrastructure managed by Wien Energie (city-owned utility), not a private tech company
• Under construction since 2014; phased delivery through 2028

• Vienna’s institutional model is exceptional — most cities lack comparable municipal ownership capacity
• Key question for students: what would need to change in your city’s governance model to replicate this?
• Connect to Energy Communities Directive: Seestadt residents are prosumers, not consumers
• Ask: why does ownership matter? Because it determines who benefits from the data, the energy savings, and the long-term value

UK National Smart Meter Rollout

50 million meters installed. Behaviour largely unchanged.

• UK government mandated smart meters for all households: 2011–2025
• £13 billion programme — 33 million meters installed by 2024
• Original promise: real-time data would shift consumption and enable demand-response
• Reality: most households check the display once, then ignore it
• Demand-response participation remains marginal; grid benefits unrealised at scale

The political and behavioural design was never built. Only the infrastructure was.

• Pattern across smart city tech: deployment is measurable; behaviour change is hard
• Connect to Unit 7 (nudge theory): a smart meter display is a nudge. But nudges require friction removal, not just information
• The lesson is not that smart meters are bad — it is that infrastructure without a theory of change fails quietly

Energy transition requires a renovation strategy and a behavioural model

not just a smart grid

Mobility & Public Space

Who the street is for

The EU legislative context

Framework	Year	What it requires
EU Urban Mobility Framework	2021	SUMPs required for cities >100,000 to access EU transport funding; active travel, public transport, multimodality
EU Cycling Declaration	2023	Double cycling share by 2030; cycling infrastructure funded through Cohesion Policy
Trans-European Transport Network (TEN-T)	2021	Urban nodes must integrate with TEN-T standards; multimodal hubs
Clean Vehicles Directive	2019	Procurement thresholds for zero-emission buses and cars in public fleets
European Green Deal	2019	90% reduction in transport emissions by 2050; shift from road to rail

• SUMPs are the most direct tool: cities with a SUMP get EU funding and are committed to modal shift targets
• The Cycling Declaration is new (2023) and politically significant — cycling is now a funded EU priority
• Ask students: does your project city have a SUMP? What modal shift targets has it committed to?

Barcelona Superilles (Superblocks)

Reclaiming the street without a platform

• Barcelona divides the city into 9-block superblocks — through-traffic removed from interior streets
• Interior streets become public space: playgrounds, seating, planting, markets
• Low-tech start: paint, planters, signage. No sensors required to begin.
• Data used for: air quality monitoring, pedestrian flow analysis, health outcome tracking
• Results: NO₂ down 25%, temperature down 2–3°C, resident wellbeing measurably improved
• Now being scaled across the city with a 10-year implementation plan

• The superblock works because the political decision came first — “this street belongs to people” — and the data confirmed and refined it
• Contrast with approaches that begin with data collection and never arrive at a decision
• Connect to Unit 7 (tactical urbanism, desire lines, Jane Jacobs): the superblock is “eyes on the street” at urban scale
• Key insight: the data role here is evaluative and adaptive, not generative. The intervention came first.

Barcelona Superilles (Superblocks)

• EIT Urban Mobility — Salvador Rueda, the inventor of the superblock concept
• Part 4 of 5: focuses specifically on equity — how superblocks address who the city is designed for
• 2–3 minutes gives enough context before moving to the failure case

Ghent: same logic, different scale

• Streetfilms — filmed at the 2024 Velo-City conference in Ghent
• Street-level interviews with residents and planners; shows the circulation plan working in practice
• Contrast with Barcelona: smaller city, more gradual rollout, strong political management of opposition

MaaS Global / Whim (Helsinki, 2016–2023)

The platform that was going to replace car ownership

• Launched 2016: one subscription for all transport modes — bus, train, taxi, bike, car rental
• Raised €50m+ in investment; expanded to Antwerp, Birmingham, Vienna
• Vision: replace personal car ownership with a monthly subscription
• Went bankrupt in 2023
• Served people already using multiple modes; did not convert car-dependent users

Technically sophisticated. Solved a problem most users didn’t have.

• Canonical tech solutionism case: the platform was the product, not the mobility problem
• The mobility problem (car dependency) requires infrastructure investment and land use change, not an app
• data and AI: the failure was not a data problem. It was a theory-of-change problem.

Mobility change follows infrastructure and political decisions.

Apps consolidate change. They don’t create it.

Data Governance & Digital Rights

Who controls the data controls the city

The EU legislative context

Framework	Year	What it requires
GDPR	2018	Hard limits on data collection, profiling, and automated decisions. Gives EU cities a legal advantage over US and Chinese models. Directly enforceable.
AI Act	2024	World’s first binding AI regulation. Predictive policing = banned. Welfare and infrastructure decisions = high risk (audit, transparency, human oversight required).
Digital Services Act / Digital Markets Act	2022	Platform accountability; affects algorithmic systems in urban contexts
EU Data Governance Act	2022	Data sharing across sectors and borders; relevant to city platforms and digital twins
Open Data Directive	2019	Public bodies must make data available for reuse; foundation for open smart city infrastructure

• The AI Act is the most urgent policy right now — came into force 2024 with phased implementation
• Cities deploying algorithmic systems in welfare, policing, or infrastructure management are directly affected
• GDPR gives European cities a genuine governance advantage — worth emphasising to students comparing EU to non-EU cases

Amsterdam AI Register

Transparency as a governance principle

• Amsterdam publishes a public inventory of every algorithmic system used in city governance
• Each entry: what it does, who built it, what data it uses, what decisions it informs, who is accountable
• Written in plain language — accessible to any citizen, not just technologists
• Covers: parking enforcement, social benefit allocation, public space monitoring, traffic management
• Not just a list — includes links to impact assessments and audit results
• Now a reference model for other EU cities and the European Commission

• The register doesn’t prevent algorithmic governance — it makes it legible and contestable
• This is the minimum a city should do before deploying any automated decision system
• Connect to the Five Critical Questions framework: the register answers “who governs the data” and “who is accountable”
• Ask students: if your project city deployed a smart system, what would its AI Register entry look like?

The Amsterdam Algorithm Register — live

algoritmes.overheid.nl/en/algoritme

Pick any entry. Read what it does, who built it, what data it uses, who is accountable. This is what transparency as a governance practice looks like.

• Worth 2 minutes in class — open the register live and browse an entry together
• The contrast with SyRI (next slide) lands much harder after students have just seen what accountability looks like when it works

SyRI — Netherlands (2020)

A welfare fraud algorithm overturned in court

• SyRI (System Risk Indication): Dutch government algorithm predicting welfare fraud
• Cross-referenced 17 data sources: tax, employment, housing, healthcare, and more
• Deployed only in low-income neighbourhoods — structurally targeting poorer communities
• 2020: Dutch court ruled SyRI violated GDPR and the European Convention on Human Rights

First European court ruling to strike down an algorithmic government system on human rights grounds

• The system was not a technical failure. It was a political and ethical failure operating as technical infrastructure.

• This shows GDPR enforcement working as intended — but only after deployment, not before

• The AI Act’s high-risk classification now requires pre-deployment impact assessment for systems like this

• Ask students: what would an Amsterdam-style AI Register entry for SyRI have looked like? Would it have been approved?

• The geographic targeting pattern is not unique to SyRI — it appears in predictive policing worldwide

Data governance is not a privacy problem. It is a power problem.

GDPR and the AI Act are the EU’s answer — imperfect, but real.

Citizen Participation & Co-governance

The right to shape the city, not just inhabit it

The EU legislative context

Framework	Year	What it requires
Aarhus Convention (EU ratified)	1998 / 2005	Legally binding: right to access environmental information, participate in decisions, access justice. Applies directly to smart city environmental data.
Leipzig Charter (revised)	2020	Integrated urban development; 2020 revision adds “just city” pillar requiring citizen engagement in transformation
New Urban Agenda (Habitat III)	2016	UN framework; participatory, inclusive, sustainable urbanisation
EU Mission Cities — Climate City Contracts	2021	Participating cities must co-develop contracts with citizens and local stakeholders
Cohesion Policy / ERDF	Ongoing	Structural funds increasingly require evidence of participatory needs assessment

• The Aarhus Convention is legally binding and enforceable — not aspirational
• Critical point: cities that collect environmental data through smart infrastructure may have an obligation to make it accessible to citizens under Aarhus
• Ask: if your project city runs air quality sensors, who can access that data? Are they legally required to share it?

Barcelona DECIDE + DECODE

Citizens as stakeholders in digital infrastructure

DECIDE / Decidim

• Open-source participatory democracy platform
• Citizens propose, debate, and vote on city policies and budget allocations
• 40,000+ registered users; deployed in 70+ cities globally including the European Commission
• Open-source: any city can deploy it, not dependent on a vendor

DECODE (EU Horizon 2020)

• Citizen-controlled personal data sovereignty
• Citizens decide what data they share with the city and on what terms
• Counter-model to surveillance capitalism: data is offered selectively, not extracted

Together: Barcelona treats citizens as co-producers of the city, not users of city services.

• Decidim is now used by the European Commission — the open-source model is the key
• Connect to Lefebvre’s “right to the city”: this is what it looks like in practice
• The open-source choice is a governance decision: participation infrastructure should be public, not proprietary
• Ask students: what is the difference between a survey and a vote? Between consultation and co-governance?

Barcelona DECIDE + DECODE

Songdo, South Korea

A city without citizens

• Purpose-built smart city on reclaimed land; $40 billion investment
• Technically complete: pneumatic waste collection, sensor networks, centralised city operating system
• Designed for 300,000 residents — chronically underoccupied (~100,000 as of 2024)
• No participatory process — designed by engineers and real estate developers
• Residents describe it as “sterile” and “soulless”

Technology works perfectly. Community never formed.

• Non-European case, but the canonical reference in European planning education
• Proves that technology does not generate community — community generates community
• Ask students: what is the difference between a city and a real estate product with sensors?
• Songdo optimised individual components and got a dysfunctional system

Songdo, South Korea

• Watch for: the emptiness of the streets, the gap between technical infrastructure and social life
• The visual evidence makes the case more powerfully than any statistic
• After watching: ask students what’s missing here — what does a city have that Songdo doesn’t?

Participation is not a consultation phase. It is a design condition.

Cities built without it work technically and fail socially.

Nature-Based Solutions & Green Infrastructure

The city as ecosystem

The EU legislative context

Framework	Year	What it requires
Nature Restoration Law	2024	Legally binding restoration targets for degraded ecosystems, including urban areas. Landmark — passed after significant political resistance.
EU Biodiversity Strategy 2030	2020	30% of land and sea protected; urban greening targets; mandatory green space in new developments
EU Green Infrastructure Strategy	2013 / updated	NbS as primary tool for climate adaptation, biodiversity, and human health
EU Adaptation Strategy	2021	Urban Greening Plans as part of city climate adaptation strategies by 2030
European Green Deal	2019	NbS positioned as cost-effective alternative to grey infrastructure

• The Nature Restoration Law (2024) is genuinely new legal territory — first binding urban ecology obligations in Europe
• Cities that have already mapped their green infrastructure digitally (as Stuttgart has done for decades) are better positioned to comply
• Ask students: does your project area have a green infrastructure strategy? What does the Nature Restoration Law require it to do?

Stuttgart Klimaatlas Green Corridors

Evidence-based urban ecology before “smart” was a word

• Stuttgart sits in a valley — poor air circulation, chronic urban heat island
• Since the 1970s: city has mapped cold-air ventilation corridors (Kaltluftabfluss) — routes through which cool air flows from surrounding forests into the city at night
• Klimaatlas: a digital planning tool integrating wind flow, temperature, greenery, and development data
• Planning rule: no development that blocks a corridor is approved. The map has legal force.
• Used to plan new parks, street trees, and building orientations
• Stuttgart measurably cooler than comparable German cities; asthma rates lower in corridor-adjacent areas

• This case predates the smart city label by decades — but it is exactly what smart, evidence-based planning looks like
• The key: the map has legal force. Data is not advisory — it constrains decisions.
• Connect to Unit 3 (systems thinking): the cold-air corridor system is a feedback loop between land use, climate, and health
• Connect to Unit 5 (digital twins): Klimaatlas is an early prototype of what a city digital twin should actually be used for

Green Gentrification

Good ecology, bad equity

• NbS investments — parks, greenways, urban forests — consistently raise surrounding property values
• Evidence across Barcelona, Amsterdam, London, Leipzig: green infrastructure investment correlates with displacement of lower-income residents

The pattern:

City invests in NbS → area becomes more desirable → rents rise → original residents displaced → the people most exposed to pollution and heat are displaced from the solution

EU Biodiversity Strategy and Nature Restoration Law do not yet contain binding equity safeguards.

• This is not an argument against NbS — it is an argument for doing NbS with tenure protection, community land trusts, and anti-displacement policy built in
• Ask students: if EU green infrastructure investment displaces vulnerable communities, is it still a success?
• Connect to the Five Critical Questions: who benefits, who bears the costs?
• Green Deal goals and social justice goals are in tension here — this is not a technical problem

Nature-based solutions work ecologically.

Whether they work for equity depends on who governs them and who is protected from displacement.

What do all six cases have in common?

The pattern across success and failure

The successful cases have:

• Locally defined problems
• Public institutional capacity to act on data
• Open standards from the start
• Equity built in — not bolted on
• A clear theory of change before the technology

The failures have:

• Vendor-defined problems
• Infrastructure without behavioural design
• Technically correct solutions to the wrong question
• No maintenance model beyond the pilot

EU policy frameworks create the obligations and funding streams. They do not guarantee good governance.

Technology is the last mile. Governance is the whole road.

• Ask: which of your project’s conditions for success are currently in place? Which are missing?
• The synthesis slide is also a diagnostic tool for their own projects

Your turn.

Group work: ~ 90 minutes

Group work instructions

1. Open the reference list (next slides, or cases_reference.qmd in the course materials)
2. Browse the cases across the six categories
3. Pick 1–2 cases that connect to your project — success or failure, European or not
4. Build 3–4 slides using the template on the following slide
5. Present: what is your project, and why do these cases matter to it?

You are not looking for a perfect match. You are looking for something that illuminates your project — a condition, a failure mode, a governance model worth examining.

• Circulate during group work if possible
• Common problem: groups pick the “nicest” case that superficially resembles their project. Encourage them to also pick a failure case.
• Remind them: Slide 4 (The Gap) is optional but often the most interesting one

Your presentation template

Slide 1 — Your Project One sentence: the problem. City, country, scale. What kind of smart city challenge is this?

Slide 2 — Your Case(s) Name and location. What happened (3 bullets max). Which EU framework does it connect to?

Slide 3 — Why It Connects What can your project learn? Positive model or cautionary one? Are the conditions present in your context?

Slide 4 — The Gap (optional but recommended) What is different between the case context and your project? What would need to change for the lessons to transfer? What question does the case leave unanswered?

• Keep the template brief — groups should spend time thinking, not formatting
• The Gap slide is where the best insights usually emerge: understanding why something worked elsewhere but might not work in their context