sausy-lab/toronto-urban-form

generating various measures of urban form, built environment, and walkability for the Toronto region

Urban Form Toronto

Generating various measures of urban form / built environment / walkability for the Toronto region (i.e. the Greater Golden Horseshoe) from open data sources (e.g. OpenStreetMap, Statistics Canada).

Measures are linked to a hexagonal grid with an apothem of 100m (i.e. 200m between centroids) output_hex_data. A GIS file of the grid can be downloaded from here

From this grid, the data has also been interpolated to 2016 Dissemenation Areas (DA) and 2016 Traffic Analysis Zones (TAZ) output_polygon_data.

Everything is constructed using PostGIS, python, and a few command line utilities.

Summary of Urban Form Measures:

Source data is linked to the hex grid via areal interpolation (for polygon and linear data) or using a spatial join (for point data). See the python notebooks for details on how each measure was generated. The following are the measures generated thus far.

pop2016, 2016 population density (from census)
emp2016, 2016 employment density (from census)
business2016, 2016 business density (from Canadian business registry)
int3way, number of 3-way intersections (from OSM, December 2018)
int4way, number of 4-way or more intersections (from OSM, December 2018)
transit_n_per_hour, number of transit trips per hour which serve bus stops in the area (from various GTFS, December 2018)
walk_edge_length, total length of the walking network (from OSM, December 2018)

Population Density

Employmet Density

Business/Store Density

Transit Trip Frequency

Walking Network Density

Street Intersection Density (number of 3way and 4+way intersections)