Humanitarian and development
CITYNEXT
AI-Driven Insights for Sustainable Urban Growth and Climate Resilience
Overview
Cities are evolving rapidly, shaped by rapid
, growing mobility demands and rising environmental pressures.
Understanding and anticipating how these dynamics interact is essential for designing strategies that ensure both livability and urban resilience.
Artificial intelligence and latest technological advances in Earth Observation are opening new possibilities for forecasting urban growth and simulate its impacts on mobility, thermal comfort, and air quality.
Understanding and anticipating how these dynamics interact is essential for designing strategies that ensure both livability and urban resilience.
Artificial intelligence and latest technological advances in Earth Observation are opening new possibilities for forecasting urban growth and simulate its impacts on mobility, thermal comfort, and air quality.
Funded by the European Space Agency (ESA), the CITYNEXT project develops an AI-driven system to predict urban growth and simulate related mobility patterns, along with their effects on urban and air quality. Led by MindEarth in collaboration with VITO and the University of Twente (ITC), the project integrates Earth Observation data, mobility information and advanced modelling to generate forecasts over a 10-year horizon. The proposed solution aims to support urban planners and agencies with forward-looking insights, helping them reduce risks, evaluate scenarios in advance, and design pathways toward sustainable and resilient urban development.
Key data and models
CITYNEXT leverages a wide range of Earth Observation datasets to capture both the long-term evolution of cities and fine-grained details of their structure. Multi-decadal archives from Landsat and high-resolution imagery from Sentinel-2 provide complementary perspectives on land cover and urban change, while the World Settlement Footprint (WSF) and Digital Elevation Models (DEMs) add relevant information on human settlements evolution and topography respectively. These data are enriched derived spectral indices as well as high-frequency mobility data records, creating a robust foundation for analysing the drivers and impacts of urban growth.
This datasets are the baseline of CITYNEXT framework which involves the development of five models, each designed to address distinct dimensions of urban dynamics. The Urban Growth Model is at the core, forecasting how cities will expand over a 10-year horizon. The Human Mobility Model then simulates flows traffic patterns, while the Building Height Model estimates urban density and population distribution. Environmental impacts are addressed through the Urban Climate Model, which allows for heat stress analysis, and the Air Quality Model for simulating pollutants concentration.




What-If Scenarios
A key feature of CITYNEXT is the “what-if” scenarios, as they play a crucial role in assessing the potential impacts of urban planning policies and interventions.
They are designed to simulate and predict the outcomes of specific interventions to the urban environment, including: land use restrictions, road infrastructure development, building height regulations, adoption of Nature Based Solutions (NBS), and pedestrianisation of urban areas, while dynamically adjusting their impacts on traffic patterns and air quality.
CITYNEXT offers an innovative and comprehensive tool to help cities plan for future urban growth, manage infrastructure demands, and address environmental challenges in a sustainable and resilient manner. The “what-if” scenarios will be co-created and evaluated with end-users, ensuring alignment with real and current needs while fostering innovative approaches for future urban development.

Stakeholder engagement
An essential part of CITYNEXT is the active involvement of stakeholders throughout the project. Engagement will take place through a series of workshops scheduled for the last trimester of 2025 —Warsaw on October 8th, Johannesburg on October 23rd, and Medan in November—, bringing together urban planners, policymakers, researchers and end users from the three pilot cities.
The purpose of these workshops is to work directly with planners, policymakers, and local agencies to define the key requirements for the system. This includes clarifying data availability and needs, identifying target areas for analysis, and capturing expectations and priorities for the definition “what-if” scenarios. Through this process, the project ensures that the models and simulations are grounded in real planning contexts and aligned with local decision-making challenges.





Upcoming workshops
October 8th, 2025 - Warsaw October 23rd, 2025 - Johannesburg November, 2025 - Medan
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