If you are a city planning consultancy dealing with public opposition to new developments — this project developed XDesign and XEngage that allow citizens to co-create and visualize changes. This reduces planning friction and increases public trust.
AI-Powered Urban Planning Tools for Climate-Neutral and Citizen-Friendly Cities
Imagine having a high-tech SimCity for a real town that updates in real-time. It lets city leaders test how a new bus lane or park would work before spending a cent on construction. Residents can also jump into a virtual version of their neighborhood to suggest changes and see them happen instantly.
What needed solving
Cities struggle to plan climate-neutral transitions because they lack tools to predict how changes in mobility and energy affect people. This leads to expensive mistakes and public distrust in urban redevelopment.
What was built
Three modules: XModel (predictive simulation engine), XDesign (co-creation interface), and XEngage (participatory feedback platform).
Who needs this
Who can put this to work
If you are a GovTech SaaS provider dealing with fragmented city data — this project developed XModel, a simulation engine for predictive analysis. This allows for the creation of interoperable tools that integrate real-time data for city management.
If you are an infrastructure developer dealing with climate stress and emissions targets — this project developed a Digital Twin ecosystem that evaluates interventions across mobility and energy. This ensures projects meet climate neutrality goals before breaking ground.
Quick answers
What is the cost or pricing for these tools?
Based on available project data, no specific pricing or commercial cost is mentioned; the project is funded by an EU contribution of EUR 5,998,325.
Can this be scaled to other cities?
Yes, the project ensures scalability through integration with the EU Local Digital Twin Toolbox, CitiVERSE-EDIC, and Common European Data Spaces.
Who owns the IP and how is licensing handled?
Based on available project data, specific IP and licensing terms are not provided, though it is developed within a 23-partner consortium.
How does it handle data privacy and regulations?
The project is designed as a privacy-compliant ecosystem to ensure secure data handling during urban simulations.
When will the tools be available for use?
The project period runs from 2026-05-01 to 2029-04-30, suggesting availability toward the end of this window.
Who built it
The project features a strong commercial lean with a 43% industry ratio, comprising 10 industrial partners including 9 SMEs. This balance between 4 universities and 5 research centers suggests a high likelihood of translating the 23-partner collaboration into viable commercial products rather than just academic papers.
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