
Don Lake Parkette
Tower-Community Green Space, above average overall (score 41, rank ~76th percentile). Strongest: natural comfort; weakest: amenity diversity.
Photo by Istvan Kelemen via Google Places · cached 5/9/2026
Don Lake Parkette scores 41 / 100. Strongest dimensions: natural comfort and enclosure / eyes on park. Weakest: amenity diversity (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.15 ha
Weighted across six dimensions · confidence 61%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.
Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 41 come from? Each weighted contribution against a neutral 50 baseline. Green = pushed up; red = pulled down.
Sum of contributions = the headline score. A negative bar means that dimension dragged the park below the city-wide neutral baseline.
Why this park works
Don Lake Parkette works because its natural comfort score (72) is in the top tier and its edge activation (18) is also top quartile (39% tree canopy provides real shade).
What limits this park
Don Lake Parkette is held back by amenity diversity (0, below-average).
Most distinctive characteristic
Most distinctive feature: exceptionally high natural comfort (72, top quartile).
Jacobs reading
Don Lake Parkette sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Performance in context
- A modest overperformer for its tower-community green space typology (+8 vs the median in pocket Tower-Community Green Space).
Typology classification
Classified as Tower-Community Green Space: 5 towers vs 0 mid-rise within 25 m on a 0.2 ha park
Edge Activation
Within 100 m of the park edge: 6 active uses (transit_stop, retail) and 4 dead/hostile uses (parking_lot). Active edges keep "eyes on the park" through the day; parking lots, blank institutional walls, rail and highway frontages drain street life.
Source: OSM POIs (amenity/shop) + Toronto Building Footprints + land use
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 21 sidewalk segments within 50 m; 5 street intersections within 100 m; 12 transit stops within a 400 m walk; 0 estimated access points across ~148 m of perimeter. edge density is healthy, no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
No amenities recorded. Score is 0 until inventory is loaded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: 39.1% estimated tree canopy; nearest waterbody ~445 m. Reading: partially shaded. Source coverage: treed_area, waterbodies. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).
Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory
Enclosure / Eyes on Park
13 buildings within 25 m of the park edge (0 mid-rise, 8 low-rise, 5 tower); avg edge height 28.9 m (~10 floors); 8.8 buildings per 100 m of 148 m perimeter (strong frontage density); edges lean tall but still framed; 5 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 0 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: parking_lot. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" that suppress foot traffic and isolate the park from its neighbourhood.
Source: Toronto Street Centreline (highways) + rail layer + OSM landuse + building footprints
Equity Context
Equity Context requires inputs not yet loaded for this park (Toronto Neighbourhood Profiles). Score is held at a neutral 50 with low confidence. Read with caution.
Source: Toronto Neighbourhood Profiles
Amenities (0)
No amenities recorded for this park.
Nearby active-edge features (27)
- transit stop: Antibes Drive at Bathurst Street38 m
- parking lot41 m
- transit stop: Bathurst Street at Antibes Drive52 m
- parking lot66 m
- parking lot72 m
- transit stop: Antibes Drive at Plum Treeway78 m
- transit stop: Bathurst Street at Drewry Avenue83 m
- transit stop: Drewry Avenue at Bathurst Street85 m
- retail: Outdoor Table Tennis91 m
- parking lot98 m
- parking lot105 m
- cafe: Tim Hortons111 m
- parking lot121 m
- parking lot128 m
- parking lot131 m
- parking lot135 m
- parking lot137 m
- parking lot151 m
- parking lot154 m
- retail: Autopro Bathurst Car Care157 m
- parking lot160 m
- transit stop: Drewry Avenue Opposite 100 Antibes Drive162 m
- parking lot163 m
- retail169 m
- parking lot171 m
- retail187 m
- retail192 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality76th
- Edge activation78th
- Connectivity69th
- Amenity diversity28th
- Natural comfort87th
- Enclosure31th
Most similar parks
Closest in metric space across the five structural dimensions.
- City Wide Open SpaceCorridor / Linear Park41
- City Wide Open SpaceTower-Community Green Space42
- City Wide Open SpaceRavine / Naturalized Park34
- Redbank GreenbeltRavine / Naturalized Park44
- Harrison PropertiesRavine / Naturalized Park37
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Leslie Grove ParkParkette73
- Kew GardensNeighbourhood Park75
- Bellevue Square ParkCivic Square73
- Arnell PlazaCivic Square50
- Paul Coffey ParkOther29
Visitor signals
Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only: no usernames, no review text, no extra photos beyond the cached hero.
p34 citywide
Source: Google Places API · match high (0.97 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
Human activity signals: not available
No activity signals have landed for this park yet. The model has scored its physical form but it can’t yet say how often it’s programmed, photographed, or walked through. See /data-ethics for what we will and will not collect.
Does this score feel accurate?
Your read of Don Lake Parkettematters. We’re testing whether the model lines up with how people actually use the park. Submissions are stored locally; no account needed.
Tell us how this park feels
We measure structure (canopy, edges, connectivity). You measure feeling. Both matter, and disagreement is itself useful civic data.
What would improve this park?
Generated from the weakest measured dimensions: a starting point, not a prescription.
- Activate the edges: encourage cafés, retail or community uses on the streets that face the park; replace blank or parking-lot edges where possible.
- Diversify what people can do in the park (playground, washroom, water, shade, performance, sport, garden): even small additions raise this score.
Data sources
- City of Toronto Open Data: Parks (Green Space)Polygon boundaries, official names, types. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
- Parks & Recreation FacilitiesInventory of in-park amenities (washrooms, fields, rinks…).
- Toronto Pedestrian NetworkSidewalk segments around and through parks; estimated park entrances.
- Toronto Centreline V2Street segments + intersection nodes near park edges; trails and walkways.
- Toronto 3D MassingBuilding footprints + heights for edge-building counts, frontage density, and tower-in-the-park risk.
- Toronto Treed AreaTree canopy share inside park polygons via stratified-grid sampling.
- Toronto Waterbodies & RiversWater surface inside parks + nearest-water distance for cooling.
- Ravine & Natural Feature ProtectionRavine overlap as a cooling / natural-comfort signal.
- Toronto Street Tree InventoryTree count + density inside park polygons.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.