Rather than reducing complex urban realities to a single index, the algorithm model analyses multiple dimensions individually (including demographics, energy poverty, housing conditions, and access to transport and services) and identifies clusters of areas with similar characteristics.
The result is a nuanced map of vulnerability patterns that reveals not only where vulnerability is concentrated, but also the specific nature of the challenges faced in each area.
This enables cities to move beyond generic, city-wide approaches and design targeted, evidence-based interventions tailored to the real needs of each community.