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Case Study

Smart Cities

Linking mobility management to public health outcomes, quantifying how road closures shape air quality across a capital city.
20–45%

PM2.5 reduction

40–45%

On fully closed routes

Baseline data
0 mo.
UCI

Event window

The Challenge

A government agency sought to understand how large-scale traffic interventions affected air quality across their capital city urban transport network. Limited integrated visibility across environmental signals and mobility patterns made it difficult to quantify the impact of road closures and inform future urban planning decisions.

SandOS in Action

Integrated intelligence combined hourly air quality readings from sensors with geospatial traffic data across major road corridors. Analysis of 3 months of baseline data enabled comparison of PM2.5 levels during the UCI event, isolating the impact of traffic restrictions across affected routes.

The Impact

PM2.5 levels decreased by approximately 20–45% along key road corridors during closures, with reductions up to 40–45% on fully closed routes. Insights demonstrated measurable improvements in air quality, informing future policy decisions linking mobility management to public health outcomes across their capital city.

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