Grand Avenue Park
Neighbourhood Park, middle of the pack overall (score 30, rank ~31th percentile). Strongest: amenity diversity; weakest: edge activation.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Grand Avenue Park scores 30.1 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 3.20 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 30 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 (79) but the surrounding streets are quiet (edge activation 0) — frame without animation.
- 5 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
Performance in context
- Reads as a modest underperformer relative to comparable parks (gap -7; cohort: medium Neighbourhood Park).
Typology classification
Classified as Neighbourhood Park: 3.2 ha, framed by 12 mid-rise vs 5 towers
Edge Activation
Within 100 m of the park edge: 2 active uses (transit_stop) and 8 dead/hostile uses (rail, 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 16 mapped paths/walkways and 8 sidewalk segments within 50 m; 6 street intersections within 100 m; 8 transit stops within a 400 m walk; 3 estimated access points across ~903 m of perimeter. moderate edge density — small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
2 distinct amenity types in the park (dog_area, track). 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: 5.4% estimated tree canopy; nearest waterbody ~316 m; 5 city-mapped trees inside the polygon (1.6/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
55 buildings within 25 m of the park edge (12 mid-rise, 38 low-rise, 5 tower); avg edge height 13.9 m (~5 floors); 6.1 buildings per 100 m of 903 m perimeter — strong frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); 5 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 12 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Oakville Subdivision, Oakville Subdivision, rail, parking_lot, Oakville Subdivision, Oakville Subdivision. 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 (2 types · 2 records)
- dog area
- track
Nearby active-edge features (21)
- parking lot0 m
- rail — Oakville Subdivision16 m
- rail — Oakville Subdivision19 m
- transit stop19 m
- rail — Oakville Subdivision22 m
- rail27 m
- rail — Oakville Subdivision28 m
- rail — Oakville Subdivision77 m
- parking lot80 m
- transit stop — Manitoba Street88 m
- retail — Pawpals113 m
- retail115 m
- retail — My Market119 m
- retail119 m
- rail — Oakville Subdivision131 m
- rail — Oakville Subdivision133 m
- rail — Oakville Subdivision133 m
- rail — Oakville Subdivision134 m
- rail — Oakville Subdivision135 m
- rail158 m
- parking lot199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality31th
- Edge activation38th
- Connectivity68th
- Amenity diversity89th
- Natural comfort46th
- Enclosure83th
Most similar parks
Closest in metric space across the five structural dimensions.
- Seneca Hill ParkOther38
- Dixon ParkNeighbourhood Park42
- Gledhill ParkUrban Plaza38
- Laburnham ParkNeighbourhood Park29
- ANTIBES COMMUNITY CENTRE - Building GroundsAthletic / Recreation Park39
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Market Lane ParkUrban Plaza63
- Simcoe ParkTower-Community Green Space51
- Mclevin Woods ParkRavine / Naturalized Park49
- Trca Lands ( 26)Ravine / Naturalized Park27
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
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 Grand Avenue Parkmatters. 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.