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_sources/data.rst.txt

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+5. Data Sources
+###############
+
+The Urban Analyst platform aims to be applicable to as much of the world as
+possible. To achieve this, data sources are chosen which are ideally have
+global coverage, and which are not specific to any one city. The global sources used are:
+
+- `Open Street Map <https://openstreetmap.org>`_ for all data on traversable
+  ways, natural spaces, parking infrastructure, and locations of schools.
+- Population density data from the `European Union *Global Human Settlement
+  Layer* <https://ghsl.jrc.ec.europa.eu/index.php>`_.
+- Elevation data from `NASA Earth Observation
+  Data <https://www.earthdata.nasa.gov/>`_, used to include effects of incline
+  on both pedestrian and bicycle travel times.
+
+The following additional data are then required for each city:
+
+- Data on some measure of socio-demographic inequality or disadvantage, such as
+  rates of unemployment, quantified within a series of polygonal shapes which
+  are also used to define each city.
+- Data on public transport timetables in *General Transit Feed Specification*
+  (GTFS) format, or in other formats able to be converted to GTFS format.
+
+The last of these data requirements is the most restrictive, as most cities of
+the world do not have or provide public transport data in GTFS format. There
+are nevertheless thousands of cities which do provide GTFS feeds, as can be
+seen for example in the GTFS feed aggregation platform
+`transit.land <https://transit.land>`_.
+
+For USA cities, data for the additional two variables of housing value and
+rental price per room are obtained from US Government census data.