Accessibility

Accessibility metrics quantify how easily different land uses (such as shops, parks, or restaurants) can be reached from each point in the street network. The examples use compute_accessibilities, which requires a geopandas GeoDataFrame of landuse data, a landuse_column_label, and the target accessibility_keys. For each land-use key and distance threshold, the output GeoDataFrame gains a count of reachable instances (cc_{key}_{distance}), optionally weighted by a distance decay via decay_fn, plus the distance to the nearest instance at the largest threshold (cc_{key}_nearest_max_{distance}). The CityNetwork method defaults to a plain count; the lower-level layers function, when decay_fn is omitted, retains the legacy default of both an unweighted (_nw) and a decay-weighted (_wt) count column. See the Land-Use guide for details.

Notebook	Description
gpd_accessibility	Landuse accessibilities from a geopandas GeoDataFrame.
osm_accessibility	Landuse accessibilities from OpenStreetMap.
osm_accessibility_polys	Park accessibilities from OSM polygon data.
gpd_mixed_uses	Mixed land-uses with layers.compute_mixed_uses.
accessibility_metro	Adding GTFS transport data (experimental).