The entire project is addressed over 3 phases. In its first phase, its objective is to lay the foundation as it undertakes a feasibility and viability analysis using 6-12 experimental interventions in small localities.
For the project entirety, Usiru will lay out, in advance, a large sensor infrastructure and data cloud while establishing the difference from a baseline before intervention and after. The experiments will be active and may make changes based on partial progress and data.
Each intervention will be scored for reach (household, locality, ward or city ), depth (15% or lesser, 30% to 50%, over 50% changes ) and friction (ease or effort from residents) . The project categorises and expects success to be based on an enduring adoption, through a combination of coercive measures, incentives and nudges.
A part of reaching firm conclusions ( Like the odd-even scheme in Delhi ) is the inherent large scale variability in measures of ambient air pollution. PMI2.5 is most variable with up-to 100% in a day and 800% across seasons.
There are two primary modules to the project – I) Data Acquisition Systems and an II) Air Quality Intelligence Platform