Priority co-variates and data sources

[jkoschinsky]

Please collect the following data sources:

In an initial round of collection of data for co-variates, let's focus on permits for operating environmentally sensitive facilities, detailed land use, buildings, facilities, and traffic. Below are some initial links but you might find others. If you could upload the respective data in this Box folder, we'll have it centralized for the subsequent analysis.

• permits, especially those with combustible engines, air permits, etc because they will be giving off gasses and PM so their locations would be known. Licenses to operate a factory or transportation station would be similar to what NYC has in their table.
• land use
• • CMAP's parcel-based land use inventory (for 60 categories)
• • Data incl. previous years
• buildings (parcel data metadata)
• facilities (my colleague collected and cleaned business permit data for Chicago -- will see if she can share it)
• traffic:

From Claire Bozic at CMAP on their traffic data:

We obtained the probe-based speed data from the National Performance Management Research Dataset (NPMRDS), which FHWA distributed to state DOTs and MPOs https://ops.fhwa.dot.gov/freight/freight_analysis/perform_meas/vpds/npmrdsfaqs.htm . I don’t know if this is available to universities.

You can download Illinois Roadway Information System (IRIS) shapefiles of the street network by county or statewide from IDOT’s GIS T2 websitehttp://apps.dot.illinois.gov/gist2/ . The metadata describes the file contents http://apps.dot.illinois.gov/gist2/gisdata/hwy_metadat.txt, which include speed limit and average annual daily traffic (AADT).

If you use the IRIS files, you might also find detailed traffic count information useful. Counts are collected hourly at many locations and can be used disaggregate daily counts to estimated hourly counts. This is helpful to calculate speeds. http://idot.ms2soft.com/tcds/tsearch.asp?loc=Idot&mod=

Midwest Travel Stats http://www.travelmidweststats.com/Home/Welcome is a website associated with the Gateway Traveler information systemhttp://travelmidwest.com/lmiga/home.jsp that collects and distributes real time traveler information.

CMAP also generates modeled information that we use in our air quality conformity analyses. The data is available on the CMAP data sharing hubhttps://datahub.cmap.illinois.gov/group/current-regional-model-data . There are networks with link travel times and matrices of zone to zone travel times. The data description.doc in each analysis year directory describes the file contents.

I hope that among these items you can find some useful information.

Claire Bozic Senior Analyst Chicago Metropolitan Agency for Planning 233 South Wacker Drive, suite 800 Chicago IL 60606 cbozic@cmap.illinois.gov 312-386-8744

[jkoschinsky]

from Thomas Matte:

RE: "University of Chicago researchers believed that burning fuel isn't as relevant here as in NY because of the greater reliance on gas."

If haven't already done so, should review emissions inventory to help prioritize local indicators of air pollution sources: https://www.epa.gov/air-emissions-inventories/2014-national-emissions-inventory-nei-data

For example, If NOX measured, natural gas in buildings are non-trivial contributor overall.

For PM2.5 in Cook county, commercial cooking estimated to be greater than heavy duty diesel road vehicles. (true in NYC and Southern California).

(see screen captures from a quick query below).

[Makosak]

For land use, it may be more useful to use land cover data (as reflected from satellites) than land use from zoning, following Kloog et al 2012 and Hoogh et al 2018 (both focus on high resolution ST for their models). We could use the Homer et al 2011 database that includes what we need. Or we try both?

[jkoschinsky]

Sounfs good

On Mon, Mar 26, 2018, 9:02 AM Marynia notifications@github.com wrote:

For land use, it may be more useful to use land cover data (as reflected from satellites) than land use from zoning, following Kloog et al 2012 and Hoogh et al 2018 (both focus on high resolution ST for their models). We could use the Homer et al 2011 https://www.researchgate.net/profile/Limin_Yang5/publication/282254893_Completion_of_the_2011_National_Land_Cover_Database_for_the_Conterminous_United_States_-_Representing_a_Decade_of_Land_Cover_Change_Information/links/5693bbc808aeab58a9a2a661/Completion-of-the-2011-National-Land-Cover-Database-for-the-Conterminous-United-States-Representing-a-Decade-of-Land-Cover-Change-Information.pdf database that includes what we need. Or we try both?

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