Der Staupreisplan der Stadt New York reduzierte erfolgreich die Umweltverschmutzung und den Verkehr in Manhattan – acht Wochen nach der Umsetzung sank das Verkehrsaufkommen um 10 %, was zu einem Rückgang der Emissionen um 16–22 % führte.

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>Here we present a data-driven framework that integrates traffic camera footage with mobile phone data to estimate citywide vehicular emissions. Applied to Manhattan, New York, our method captures substantial spatiotemporal variation in emissions across hours, days and road segments. Omitting fine-grained inputs, such as traffic signals, speed variation or fleet heterogeneity, introduces average uncertainties of −49% to +25% in emission estimates.

So instead of actually measuring emissions or air quality, you’re just guesstimating.