
ANTIBES COMMUNITY CENTRE - Building Grounds
Athletic / Recreation Park, above average overall (score 39, rank ~70th percentile). Strongest: amenity diversity; weakest: edge activation.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
ANTIBES COMMUNITY CENTRE - Building Grounds scores 38.8 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is elevated (36). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.93 ha
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 39 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
What limits this park
Most distinctive characteristic
Jacobs reading
Tradeoffs
- The park is enclosed by buildings (78) but the surrounding streets are quiet (edge activation 0) — frame without animation.
- 8 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
Performance in context
- Citywide rank is high (70th) but typology rank is more modest (22nd) — the strength likely comes from the dataset average pulling lower than this typology’s baseline.
Typology classification
Classified as Athletic / Recreation Park: 67% of amenity types are athletic (basketball, tennis)
Edge Activation
Within 100 m of the park edge: 2 active uses (transit_stop, retail) and 5 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 25 sidewalk segments within 50 m; 5 street intersections within 100 m; 12 transit stops within a 400 m walk; 3 estimated access points across ~397 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
3 distinct amenity types in the park (basketball, playground, tennis). Diversity, not raw count, drives the score so a park with many distinct activity types can outrank a larger park that repeats the same use.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: 4.5% estimated tree canopy; nearest waterbody ~400 m; 4 city-mapped trees inside the polygon (4.0/ha). Reading: exposed. Source coverage: treed_area, waterbodies, street_trees. 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
72 buildings within 25 m of the park edge (1 mid-rise, 63 low-rise, 8 tower); avg edge height 12.0 m (~4 floors); 18.1 buildings per 100 m of 397 m perimeter — strong frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); 8 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 1 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, parking_lot, parking_lot. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" — they 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 (3 types · 4 records)
- basketball
- playground
- tennis
Nearby active-edge features (30)
- retail — Outdoor Table Tennis0 m
- parking lot0 m
- parking lot33 m
- transit stop — Antibes Drive at Plum Treeway43 m
- parking lot45 m
- parking lot62 m
- parking lot78 m
- parking lot103 m
- transit stop — Antibes Drive at Bathurst Street106 m
- transit stop — Bathurst Street at Antibes Drive118 m
- parking lot120 m
- transit stop — Drewry Avenue Opposite 100 Antibes Drive123 m
- parking lot125 m
- transit stop — Antibes Drive at Candle Liteway132 m
- parking lot141 m
- transit stop — Bathurst Street at Drewry Avenue150 m
- transit stop — Drewry Avenue at Bathurst Street154 m
- parking lot165 m
- transit stop — Antibes Drive at Torresdale Ave166 m
- parking lot167 m
- parking lot167 m
- parking lot178 m
- cafe — Tim Hortons180 m
- parking lot182 m
- parking lot187 m
- parking lot187 m
- parking lot188 m
- parking lot189 m
- parking lot191 m
- parking lot195 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality70th
- Edge activation33th
- Connectivity79th
- Amenity diversity94th
- Natural comfort42th
- Enclosure80th
Most similar parks
Closest in metric space across the five structural dimensions.
- Stephenson ParkAthletic / Recreation Park41
- Park Lawn ParkAthletic / Recreation Park38
- Kempton Howard ParkAthletic / Recreation Park43
- Howard Talbot ParkAthletic / Recreation Park34
- Leaside ParkAthletic / Recreation Park33
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Trca Lands ( 26)Ravine / Naturalized Park27
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Simcoe ParkTower-Community Green Space51
- Mclevin Woods ParkRavine / Naturalized Park49
- Rouge ParkRavine / Naturalized Park28
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 ANTIBES COMMUNITY CENTRE - Building Groundsmatters. 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.
- Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
- Mitigate border vacuums (highways, rail, parking) with active programming on the still-permeable edges and treat the hostile edge as a design challenge.
Data sources
- City of Toronto Open Data — Parks (Green Space)Polygon boundaries, official names, types.
- 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.