The Impact of Mobile-Device-Based Mobility Patterns on Quantifying Population Exposure to Air Pollution (11 page pdf, Marguerite Nyhan, Sebastian Grauwin, Rex Britter, Bruce Misstear, Aonghus McNabola, Francine Laden, Steven R. H. Barrett, and Carlo Ratti, Environmental Science and Trechnology, Aug. 12, 2016)
Also discussed here: Air pollution threat hidden as research ‘presumes people are at home’: study (The Guardian, Aug. 24, 2016)
And here: Urban air pollution is worse than we think—but better data might solve the problem (Barbara Eldredge, CURBED, Aug. 30, 2016)
Today we review research into a study in New York City that compared the exposure to urban air pollution during an active day at the place of work and travelling to that rather than as earlier exposure studies have done only at the place of residence. The results indicate, first of all, that the highest concentration of PM2.5 is not surprisingly in central Brooklyn and Queens and in the southern half of Manhattan Island. Pollution levels at places of work compared to those at residences was 10 μg/m3 higher which suggests that a higher congestion charge be applied to vehicles which enter the high emission zones (which is the basis for the [present congestion charge zone in London, UK) .Future applications of this research when self driving cars are the norm might involve automatically controlling their movement to avoid adding to the pollution levels in some packets of the city.
To see Key Quotes and Links to key reports about this post, click HERE