Utrecht's public-health team is adding a green-space indicator to its district health profiles, and wijk 04 Noordoost is first. The team follows the indicator proposed for the WHO Regional Office for Europe, which was tested in Utrecht among three European cities: homes within 300 m in a straight line of the boundary of a public green space of at least 1 hectare. It needs two counts it can defend at review: how many of the green spaces around the district are large enough to count, and how many of the district's homes have one within reach.
Utrecht's public-health team is adding green-space access to its district health profiles, starting with wijk 04 Noordoost. It uses the indicator proposed for the WHO Regional Office for Europe: homes within 300 m in a straight line of the boundary of a public green space of at least 1 hectare. The team works in ArcGIS Pro 3.7. Any GIS will do: ArcGIS Pro, QGIS or a script. You are graded on what you hand in.
| Dataset | Geometry | Field | What it holds |
|---|---|---|---|
| Residential units, Utrecht Noordoost | Point | home_id (text) | One point per residential unit in use in the wijk. The units of one building share one position, so several points can sit on top of each other: each is a home. |
| Green urban areas around Noordoost | Polygon | park_id (text) | Every public green space, whole, that reaches within 300 m of the wijk. None is cut at the layer's edge. |
Both files are GeoJSON in WGS 84 (EPSG:4326), longitude first. The Data tab also offers each one as a zipped Shapefile, KML and CSV; the zipped Shapefiles open as layers named POINT (the homes) and POLYGON (the green spaces), with the same field. In ArcGIS Pro, add the Shapefile, or bring the GeoJSON in with JSON To Features and choose its geometry type: Point for the homes, Polygon for the green spaces.
| Value | What it is |
|---|---|
large_green_spaces | How many green spaces in the layer are large |
homes_within_300m | How many homes are within 300 m of at least one large green space |
Both are whole numbers. Type numbers with a point as the decimal mark and no thousands separator.
These are where the teaching is. Read them twice.
Modelled on the urban green space accessibility indicator proposed for the WHO Regional Office for Europe: Annerstedt van den Bosch M. et al., 'Development of an urban green space indicator and the public health rationale', Scandinavian Journal of Public Health 44(2):159–167, 2016 (doi:10.1177/1403494815615444). The paper tested the indicator in Malmö, Kaunas and Utrecht with Urban Atlas land use and recommends a 300 m maximum linear distance to the boundary of green spaces of at least 1 hectare. It reports a share of the population; this exercise counts homes in one wijk, and the public-health team is illustrative. Tool behaviour is as of ArcGIS Pro 3.7, from Esri's pages 'Select Layer By Location (Data Management Tools)', 'Select Layer By Attribute (Data Management Tools)', 'Calculate Geometry Attributes (Data Management Tools)', 'Project (Data Management Tools)', 'JSON To Features (Conversion Tools)', 'Spatial Join (Analysis Tools)', 'Summarize Within (Analysis Tools)', 'Get Count (Data Management Tools)', 'Use a geoprocessing tool' and the quick-start 'Use geoprocessing tools'. Kharita is not affiliated with Esri.
Work the problem in whatever tool you like, then enter the answers here.
large_green_spaceshomes_within_300m2 scored, 0 informational
Green spaces of at least 1 hectare
40%Homes within 300 m of a large green space
60%