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City Twin - the city explained through data

Understand the city.
Base decisions on data and verifiable sources.

City Twin is an urban digital twin for analysing the city, testing interventions and building the case for investments, built on verifiable data and documents. The model of your city is built from public documents, open data and data provided by partner institutions: strategies, the PUG (General Urban Plan), the mobility plan, the budget, indicators. The assistant is configured to answer from the sources built into the city model, to point to the documents it used and to flag information that the data cannot support. Once the data is integrated, the platform produces a summary with the sources used, which a specialist checks before it is used.

🇪🇺 Hosting and AI processing in the European Union · Data protection in line with GDPR requirements ✓ Answers with sources, verifiable
The public demonstration uses data from the municipality of Brașov. · model built from public documents and data (PUG, PMUD mobility plan, SIDU development strategy, budget); the information and the generated answers point to the sources they rely on · climate and air data updated daily, with the history kept · 65.3 hectares turned impervious in three years, City Twin calculation on Copernicus data 2018-2021 · an 11.1 °C difference between neighbourhoods on the same summer day: land surface temperature, derived from Landsat imagery · a product of the Romanian Smart City Association
THE MAP, IN 15 SECONDS

How a question becomes an analysis on the map

The map uses the data of the demonstration model, version 0.3.0, updated on 2 August 2026. Below the video we explain what is measured, calculated or estimated. In the application the same feature is called “Analize pe departamente” (analyses by department): eight themes, each tailored to the questions of one department, with a legend and the data source alongside. The public demonstration opens two of them; the rest are for partner institutions.

Recorded in the platform. The same map, five themes one after another: climate, vegetation, mobility, energy, vulnerability. With each theme the colours of the neighbourhoods change, and the legend shows its indicator, thresholds and source. At the end, the same values shown as 3D volumes. The video has no sound.

From the model data: the historic centre (Centrul istoric) has 73.7% impervious surface, the highest share of the 15 neighbourhoods, and only 3% green surface; next come Florilor-Craiter with 60.5% and Astra with 59.4%. An estimated 24,326 people live within a 15-minute walk of the marked point, 11,462 within 10 minutes and 4,100 within 5 minutes. The values come from the demographic layer of the routing service, not from a count by address.

Each theme has a different source and method. Imperviousness is measured from satellite: Copernicus HRL Imperviousness Density 2021, 10 m resolution, average per neighbourhood. The other three are prioritisation indicators calculated in the platform, on a scale from 0 to 100: planting priority from mineral surfaces and mapped green spaces, charging station shortfall from built-up area compared with existing stations, solar potential from built-up area and annual irradiation. Neighbourhood boundaries, green spaces, stations and the street network: OpenStreetMap. The walking area is calculated along streets, not as a circle. The map is rendered with MapLibre.

WHAT IT IS

A digital model of your community. Not a chatbot that knows everything.

An urban digital model brings the city's documents and data together in a representation that can be analysed and updated, that shows the coverage and limits of the data, and on which you can test decisions before taking them. City Twin works in a space dedicated to a single community, using documented data that comes with its sources. It is useful to the administration, to academia and to the community.

Configured for a single community

The assistant uses the community's data model: areas, projects, problems, indicators and sources. It is configured not to use information that is not supported by the sources built into the city model.

Answers from the community's data

Answers are based exclusively on the community's domain and data. Where information cannot be supported by the model, the assistant flags the missing data.

Control and protection for the institution's data

The data provided by the institution and the resulting model can be exported in open formats, under the terms set by contract and in line with the licences of the sources used. Primary hosting and AI processing take place in the European Union, and data protection is built in by design.

The up-to-date city map, with thematic viewsSchematic illustration of the City Twin map: streets, neighbourhoods, a river and a park. On top of them, warm patches marking the heat island, congested arteries, air sensors and public service pins. Top left, a card with the question “What is happening in the city now?” and three result lines. Top right, the heat risk legend. At the bottom, the bar of thematic views, with the Climate view active.THE MAYOR'S QUESTIONWhat is happening in the city now?Traffic: 4 arteries above usual levelsHeatwave: 3 neighbourhoods at high riskAir: below the WHO threshold, stableHEAT RISKlowhighOverviewMobilityClimateSafety15-min accessEnergyHeritageShowing: heat risk and air
The up-to-date city map. A single row of thematic views changes everything on display, and the “Showing” line always tells you what is on screen.
THE PRINCIPLE

Sources first, then conclusions

Generative models can produce plausible answers even when the information is not sufficiently supported. City Twin is designed to tie answers to the sources built into the city model. That way an answer can be checked before it is used in a meeting, in a public document or in a funding application.

Answers point to their sources

The answer cites the document, layer or indicator it comes from. You can open the source to check it.

Flags when the data does not support an answer

Data gaps are flagged explicitly. Information that the data cannot support is flagged and must be checked before use.

Separates facts from assumptions

The platform separates measured values from estimates and shows how well each conclusion is supported. Estimates are not presented as measurements.

Verifiable arguments for a decision

It gives you options and arguments with sources; the decision stays with people. It does not replace the specialist, but gives them the data and arguments they need.

The generated report, with its sources shownSchematic illustration of a City Twin report: a page of text in which sentences are followed by source tags (document, chapter, page), plus a yellow block that explicitly declares a missing piece of information. On the right, the card with the question “How do you know that?” and the number of sources cited, then the list of sources used.Areas vulnerable to heatwavesReport generated from the city modelPUG 2020, p. 34PMUD 2021, ch. 4air sensors, last 7 daysDeclared gapVegetation data is missing for two neighbourhoods.Decision support. The decision stays with people.THE COUNCIL'S QUESTIONHow do you know that?3 sources cited in the answer1 missing item, declared explicitly0 figures without data behind themSOURCES OF THE ANSWERPUG 2020chapter 4, page 34PMUD / SUMP 2021annex 2, table 7Air sensors7-day average, updated daily
The answer, with its sources shown. The tag opens the document, layer or indicator the sentence comes from, and data gaps are flagged explicitly.
RESULTS

What the administration gains

The same public data, turned into time saved and decisions you can back up with documents.

Stronger funding applications

You build the case for European or national funding applications with vulnerable areas, indicators and cited sources. You argue with figures and documents, not just general statements.

Decisions based on sources, not opinions

Every answer comes with its source in the city's documents. You make the case for a project before the local council with verifiable evidence. The decision stays with people.

Test locations before deciding

You see on the 3D map the estimated spatial impact of an investment on accessibility (a car park, a school, a public transport stop) before allocating budget. Example: where to place a nursery so that as many children as possible can reach it within a 15-minute walk, calculated on the real street network.

HOW IT WORKS

From scattered documents to decisions backed by evidence

Four stages, automated or assisted, from collecting the data to analysing and presenting the results. Uploading documents, validation and interpretation need a person to step in.

Collect: brings in public documents, open data and geographic information from the available sources, including the urban geometry mapped in OpenStreetMap.
Model: the city becomes a set of entities and relationships (areas, projects, problems, services, indicators), each element linked to its source and to how well the data supports it.
Ask: you ask a question in plain language, and the assistant answers from the sources built into the city model, with sources, assumptions and data gaps flagged explicitly.
Decide: the answer appears on the map, you simulate interventions in scenario analysis mode, compare scenarios and export a report for a meeting or for the funding application file.

The platform in use

Six recordings made directly in the platform; they are not reconstructions or mock-ups. The videos have no sound and do not start on their own.

Analysis themes: the same city, five different questions, each with its own legend and source. 34 seconds.
Impervious surface: calculated consistently from Copernicus data, neighbourhood by neighbourhood. 37 seconds.
Mobility: measured traffic, the real public transport lines and the 15-minute access area, calculated on the pedestrian network. 37 seconds.
The investment simulator: you test the intervention on the map before it goes into the budget. 26 seconds.
The command centre: indicators, alerts and data status on a single screen. 34 seconds.
For urban planners: comparing two indicators, export with legend and source, layers opened in QGIS via WFS. 28 seconds.

Digital View, at three workstations

Three longer recordings made in the platform on the Brașov model; two of them continue on Cluj-Napoca. Digital View appears both as a presentation scene and as a working background. Traffic in the first video is estimated from the street category, not measured; the investment register in the second contains demonstration entries placed on a real city. The videos have no sound and do not start on their own.

Urban mobility: arteries, cycle lanes and stops on the real street network, the estimated flow animated along the arteries, a zoom down to a junction, 15-minute walking access and the access area from a chosen point; at the end, the same view on Cluj-Napoca. 2 minutes 23 seconds.
Investments in progress: the register with stage, deadline and a traffic light for each investment, its location on the map, documented problems with no project at all, and the record with the money spent and the decision that comes next. 1 minute 6 seconds.
Where do we put the money next year: you start from the problems with no project, place an intervention, see how many residents fall within the access area calculated along streets, compare a second location and save the option as a scenario for the budget discussion; then the same path on Cluj-Napoca. 1 minute 45 seconds.
DATA CONTROL

The city's data remains the city's.

The administration needs to keep control over its data and the ability to export and reuse it. With City Twin, the data provided by the institution and the resulting model are exported in open formats, under the terms of the contract and in line with the licences of the sources. Third-party components integrated into the map (commercial traffic, satellite imagery, terrain tiles) remain under their provider's licence.

The data remains the city's

The model is exported in the open JSON format, with a public schema; the geographic layers in it use the standard GeoJSON format, so they can be reused in any compatible GIS application. The data provided by the institution and the resulting model can be exported under the terms set by contract and in line with the licences of the sources used, with no lock-in to proprietary formats.

Layers can be opened directly in QGIS

The city model is also published as a WFS service, at your city's address. The urban planner adds the City Twin layers in QGIS or any other GIS program like any standard source, with no manual exports and no files sent by e-mail.

Data can be exported and reused

The platform uses open standards and documented formats. Data and services remain interoperable, so you do not depend on a single supplier for critical infrastructure.

Data protection built in by design

Primary hosting and AI processing take place in the European Union. Some auxiliary technical services may operate globally, under the conditions described in the privacy policy. We do not use advertising cookies and we do not carry out profiling. We apply security measures benchmarked against the relevant NIS2 requirements, without certification or attestation.

THE PUBLIC DEMONSTRATION

Open the map now, without an account

Available without an account

The public demonstration includes a selection of features: the city map, an analysis of heat vulnerability with its sources and declared limits, and a simulation of a cooling point. Free questions to the AI assistant, all themes and layers, scenarios, reports and exports are for partner institutions. The demonstration is not an official implementation by a city hall. The platform interface is currently in Romanian.

Impervious surface, recorded in the platform. Each neighbourhood is coloured by how much of its surface is impervious, with the source, year and unit of measurement next to the map. A neighbourhood's record opens, it is compared with another, and at the end the same values are shown as volumes. City Twin calculation based on the Copernicus dataset. The video has no sound.
The simulator, recorded in the platform. You choose the type of intervention and place it on the map, and the access area is calculated along the real streets, not as a circle. You see how many residents are within the estimated access area and which problems in the model it addresses, then save the option as a scenario. The public demonstration opens a single type, the cooling point; all 12 types, any number of locations and saved scenarios are for partner institutions. The video has no sound.
THE FULL VERSION

What partner cities get

available to partner institutions

Partner institutions get a dedicated City Twin space for the community, configured using local data, documents and priorities: AI-assisted analysis, saved and compared scenarios, collaboration between authorised users and report export.

Comparing saved scenariosSchematic illustration of the comparison: three map thumbnails, named Scenario 1, 2 and 3, each with different locations and different areas covered. Below them, a bar chart comparing the residents within the access area, with scenario 2 the best. Top right, the card with the question “Which option covers more residents?”.THREE SAVED SCENARIOS, THE SAME NUMBER OF ACTIONSWhich option covers more residents?Scenario 1Scenario 2Scenario 3RESIDENTS IN THE ACCESS AREA, 10 MINUTES ON FOOTScenario 1≈ 7,400Scenario 2≈ 9,100Scenario 3≈ 8,250Scenario 2: ≈ 1,700 more
Comparing scenarios. You save a simulation with a name and an objective, build another one, then compare them: the same investments, different locations, a different result. Scenarios are saved in the city's dedicated space, with the date and the version of the model used for the calculation. Scenario 2 covers about 1,700 more residents than scenario 1.
The command centre, recorded in the platform. The city's indicators, air quality and the status of data updates on a single screen, the alerts that need attention, and from the dashboard you go straight to the problem and its sources. Automatic alerts signal when an indicator is approaching a WHO or EU threshold, and when there is not enough data they show that the trend cannot be assessed. For partner institutions. The video has no sound.
  • AI-assisted analysis on the city model: you ask in plain language and get an answer with sources, assumptions and data gaps flagged explicitly. It is not available in the public demonstration, including on the server.
  • Simulator available in the institution's space: all 12 investment types, any number of investments, scenarios saved on the city's server.
  • Report export: you generate a report for the meeting papers or for the funding application file.
  • A dedicated space for the institution: authorised users, with roles and administration separate from the map.

The images give an indicative view of the main City Twin features. The values shown are examples; up-to-date data can be explored in the public demonstration.

WHO IT IS FOR

Who uses it and what they get, concretely

The mayor and the city managerPrioritises investments and exports a report with sources, ready for the meeting papers.
The urban planner and the chief architectChecks a location and the reference documents (PUG, PMUD): what can be reached within 15 minutes, calculated on the real street network.
The funding officerBuilds the case for funding applications with vulnerable areas, measured data and cited sources.
The journalist and the civic organisationChecks the city's promises: the targets set for 2030 and the projects that match them.
The citizenUnderstands their neighbourhood: which problems appear in the city's documents and which projects concern it.
The university and the researcherStart from the city's open data for their own analyses.
TOOLS

A digital model that helps you analyse and decide

See problems and projects on the ground Partly available in the demonstration

Answers, problems and projects appear on a 3D map of the city: you can locate every piece of information. Easy to understand and to present in a meeting. The public demonstration shows the map and a single analysis; the city's problems and projects are for partner institutions.

Up-to-date indicators Available to partner institutions

Climate and air quality data is updated daily through an automated process, with the history kept and a monthly version archived. The update frequency is shown on each layer.

Investment simulator Partly available in the demonstration

You place investments on the map (12 types, from a nursery to a cooling point) and see which areas and which problems they cover. The public demonstration opens a single type: the cooling point.

Comparable scenarios Available to partner institutions

You save a simulation as a scenario and compare scenarios with each other. Scenarios are saved in the institution's dedicated space.

Automatic alerts Available to partner institutions

Based on the history of the data collected, the platform identifies trends and signals when an indicator is approaching a threshold (WHO guidelines, EU limits).

Built on your city's data

The platform is configured on the basis of your city's data, priorities and documents, not on a generic template. And the city's data remains the city's.

How we work with data: we start from the city's public data (documents, maps, indicators) and turn it into an up-to-date decision support tool, in which information points to the sources it relies on. Coverage and accuracy grow as the city brings in more data, and the final decision always stays with people.
FREQUENTLY ASKED QUESTIONS

What city halls ask us

The questions that come up most often in our discussions with administrations, and the answers available on this page.

What data does City Twin use?

The city's public documents and data: the PUG (General Urban Plan), the mobility plan, strategies, the budget and indicators, plus the urban geometry mapped in OpenStreetMap. Climate and air quality series come in daily through an automated process, with the history kept and a monthly version archived. Coverage and accuracy grow as the city brings in more data.

Does the city's data remain the city's?

Yes. The model is exported in the open JSON format, with a public schema, and the geographic layers in it use the standard GeoJSON format, so they can be reused in any compatible GIS application. The data provided by the institution and the resulting model can be exported under the terms set by contract and in line with the licences of the sources used. No lock-in to proprietary formats.

Where is the data hosted and where does the AI processing take place?

Primary hosting and AI processing take place in the European Union. Some auxiliary technical services may operate globally, under the conditions described in the privacy policy. We do not use advertising cookies and we do not carry out profiling.

How do I check whether an answer is correct?

Every answer cites the document, layer or indicator it comes from, so you can open the source to check it. Data gaps are flagged explicitly, and what is measured is marked separately from what is estimated. City Twin is a decision support tool; the decision stays with people.

What can I try without an account?

The public demonstration includes a selection of features: the city map, an analysis of heat vulnerability with its sources and declared limits, and a simulation of a cooling point. Free questions to the AI assistant, all themes and layers, scenarios, reports and exports are for partner institutions.

What else do partner cities get?

A dedicated City Twin space for the community, configured using local data, documents and priorities: AI-assisted analysis, the simulator without the limits of the public demonstration, saved and compared scenarios, automatic alerts, report export and users with roles.

Which documents do we need to start a pilot, and what happens after the request?

The basic public documents are enough to start: PUG, strategies, budget. After you send the request, we contact you within three working days at most, we review the community's public data together, with no commitment, and then you receive a concrete proposal: what the digital model of your city would look like, the first report generated from its data and the terms of access to the full version.

Is the public demonstration a city hall project?

No. It is built from public data and documents, without the involvement of the city hall.

Would you like a digital model for your community?

The demonstration model was built entirely from public data and documents. We can start a pilot in the same way for any community that has the basic documents: PUG, strategies, budget. Tell us about your community and the objective of the pilot project using the form below: this is also where access to the full version begins.

What happens after you send it

We contact you within three working days at most.
We review the public data together for your community (PUG, PMUD, strategies, budget), with no commitment.
You receive a concrete proposal: what the digital model of your city would look like, the first report generated from its data and the terms of access to the full version.

Or write directly to [email protected].

The Smart City Romania network run by ARSC

Discover the projects, investments and opportunities in Romania's smart city ecosystem

arsc.ro · [email protected]