For residents in LA’s District 2—an area that encompasses MidCity, Inglewood, and El Segundo, the presence of a nearby airport doesn’t only cause noise pollution, but air pollution as well, caused by plane toxins. According to federated environmental data, people of color in the Los Angeles metro area have a high risk for respiratory illness. These high-risk neighborhoods are defined as ones that fell in at least the 80th percentile for lifetime respiratory dangers from chemicals released into the air,” with cities such as Inglewood and Lennox have areas in the 98th and 97th percentiles.”
The District 2 monolith uses datasets related to air quality and the environment like: Pollution, Air Quality, Asthma Medicare, Canopy, Park Access, Automobiles, Transportation, H20 contaminationJoin the whitelist
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In the future, AI provides solutions for tracking air quality - building digital twin models of the city to track real-time issues in air quality and build predictive models based on simulated data of where future interventions may be most effective.
While AI can be a part of tracking air quality, it can also play a part in tackling the underlying causes for smog and dismal air quality along these supply chain corridors. The supply chain industry is on the cusp of innovation with AI-piloted electric vehicles. In these supply chain corridors, with less obstacles, autonomous transportation is not only more feasible, but also safer. In addition, AI can support the creation of more local production models through responsive production systems that create quick turnaround, small-batch products based on expressive consumer demand.