If you are a planning consultancy dealing with public resistance to new green projects — this project developed a community-driven methodology and digital twins that ensure solutions are socially acceptable and provide a clear return on investment.
AI and Digital Twin Tools for Climate-Neutral Urban Planning and Green Infrastructure
Imagine if cities had a 'SimCity' version of themselves that actually worked in real life to test where to plant trees or build parks. This project uses digital clones of cities and AI to figure out the best ways to cool down urban areas and make them more livable. It lets local residents help decide what gets built so the changes actually fit the neighborhood.
What needed solving
Traditional urban planning often ignores local community needs and fails to provide a clear return on investment. This leads to green solutions that are socially rejected or environmentally ineffective.
What was built
A technical toolkit for managing urban data and Local Digital Twins to simulate Nature-Based Solutions. It also includes a certification program for European Nature-Based Solutions Managers.
Who needs this
Who can put this to work
If you are a software provider dealing with fragmented urban data — this project developed tools to manage the data value chain and integrate Nature-Based Solutions into existing IT systems across 12 countries.
If you are a contractor dealing with unpredictable plant survival in different climates — this project developed evidence-based decision tools tested in 4 distinct climatic zones from Boreal to Mediterranean.
Quick answers
What is the cost or pricing model for these tools?
Based on available project data, no specific pricing or commercial cost model is mentioned; the project is funded by an EU contribution of EUR 13,227,485.
Can this be scaled to other cities?
Yes, the project is designed for replication, moving from 4 Front-Runner Cities to 5 Follower Cities across different climatic zones.
Who owns the IP and how is licensing handled?
Based on available project data, specific IP and licensing terms are not detailed, though a research ethics framework and data management plan have been established.
How does this integrate with existing city software?
The project includes deliverables focused on integrating selected components into existing IT systems and harmonizing data for KPI calculation.
What is the timeline for deployment?
The project runs from 2024-01-01 to 2027-12-31, moving through inception, development, piloting, and transition phases.
Who built it
The consortium is heavily weighted toward practical application, with 14 industry partners (38% ratio) and 14 other organizations, balancing the 9 academic and research entities. With 8 SMEs involved and a footprint across 12 countries, the group is structured for wide European market penetration and cross-border technical validation.
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Contact us to explore licensing opportunities for the URBREATH digital twin tools.