Bay Area Mobile Monitoring Multi-pollutant Block Medians

This dataset provides census-block level estimates of outdoor air pollutant concentrations averaged over a 32-month period spanning from May 2015 through December 2017. Measurements were taken using mobile monitoring along every street of 13 cities, towns, and urban districts (93 km²) distributed through four counties of the San Francisco Bay Area, comprising over 2,100 hours of sampling. Two Google Street View cars equipped with the Aclima mobile platform repeatedly measured city block air quality, providing estimates of outdoor air pollution for a year-2010 population of ~450,000 individuals.

This dataset includes measurements of four pollutants:

NO (units: ppb)

NO2 (units:ppb)

BC (black carbon, units: µg/m³)

UFP (ultrafine particle count, units: #x10³/cm³)

For the purposes of quality control, the set includes:

a count of the unique days each block was visited while each of the monitoring instruments were operational (uniqueDays_xx, with xx representing the relevant pollutant),

the total visits to the census block (visits_xx), and

the cumulative sampling time in seconds (samplingTime_xx).

The dataset includes the population data from the US census (TotalPop.x) and populations divided by census-based self-identified race and ethnicity. The categories include:

-Hispanic or Latino (HispLat)

-Not Hispanic or Latino: White alone or in combination with one or more other races (WhiteNH)

-Not Hispanic or Latino: Black or African American alone or in combination with one or more other races (BlackNH)

-Not Hispanic or Latino: Asian alone or in combination with one or more other races (AsianNH)

-Not Hispanic or Latino: American Indian and Alaska Native alone or in combination with one or more other races (NativeNH)

-Not Hispanic or Latino: Native Hawaiian and Other Pacific Islander alone or in combination with one or more other races (PacIsl)

-Not Hispanic or Latino: Some Other Race alone or in combination with one or more other races (OtherNH)

Consistent with Chambliss et al. 2021, there is a grouping of "OtherRace" which is the sum of the last three categories.

Additional methodological details can be found in Chambliss et al. 2021 (https://chemrxiv.org/engage/chemrxiv/article-details/60f731b1880443777ae27104).

Data are provided as a table that may be joined to GIS data from the US census using the unique "GISJOIN" identifier matching 2010 census block geographic units. Such GIS data is available online from several sources, including https://www.nhgis.org/