
Fountainhead Park
Neighbourhood Park, in the top tier overall (score 49, rank ~94th percentile). Strongest: edge activation; weakest: natural comfort.
Photo by nick knickle via Google Places · cached 5/9/2026
Fountainhead Park scores 49.1 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (21). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 2.02 ha
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Explain this score
Where did the 49 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
Fountainhead Park works because its edge activation score (41) is in the top tier and its amenity diversity (21) is also top quartile.
What limits this park
.
Most distinctive characteristic
Most distinctive feature: exceptionally high edge activation (41, top decile).
Jacobs reading
Fountainhead Park 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 neighbourhood park typology (+12 vs the median in medium Neighbourhood Park).
Typology classification
Classified as Neighbourhood Park: 2.0 ha, framed by 3 mid-rise vs 1 towers
Edge Activation
Within 100 m of the park edge: 11 active uses (transit_stop, retail, cafe) and 3 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 3 mapped paths/walkways and 26 sidewalk segments within 50 m; 4 street intersections within 100 m; 22 transit stops within a 400 m walk; 6 estimated access points across ~585 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
2 distinct amenity types in the park (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: ~11.1% effective canopy (0.7% from contiguous tree polygons + scattered tree density); nearest waterbody ~503 m; 32 city-mapped trees inside the polygon (15.8/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
37 buildings within 25 m of the park edge (3 mid-rise, 33 low-rise, 1 tower); avg edge height 7.9 m (~3 floors); 6.3 buildings per 100 m of 585 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); 1 tower ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 3 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. 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 (2 types · 3 records)
- playground
- tennis
Nearby active-edge features (27)
- parking lot0 m
- transit stop: Sentinel Road5 m
- parking lot8 m
- transit stop: Sentinel18 m
- transit stop24 m
- transit stop: Sentinel Rd at Finch Avenue W29 m
- transit stop32 m
- transit stop: Sentinel Rd at Finch Avenue W43 m
- transit stop: Sentinel Road54 m
- transit stop: Sentinel Rd at Fountainhead Rd57 m
- transit stop: Sentinel Rd at Fountainhead Rd58 m
- retail: SuperStop66 m
- cafe: Tim Hortons70 m
- parking lot72 m
- transit stop: Sentinel103 m
- retail: The Barber Shop110 m
- retail: Your Community Grocer111 m
- restaurant: Irie Flavour115 m
- parking lot119 m
- parking lot136 m
- parking lot143 m
- transit stop: Sentinel Rd at Derrydown Road146 m
- parking lot150 m
- retail: CONVENIENCE STORE153 m
- parking lot163 m
- parking lot167 m
- parking lot189 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality94th
- Edge activation93th
- Connectivity86th
- Amenity diversity88th
- Natural comfort53th
- Enclosure66th
Most similar parks
Closest in metric space across the five structural dimensions.
- Sheppard East ParkNeighbourhood Park48
- Wenderly ParkNeighbourhood Park52
- Balmoral ParkNeighbourhood Park52
- Cliffwood ParkAthletic / Recreation Park52
- Tournament ParkNeighbourhood Park54
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
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park26
- Rouge ParkWaterfront Park25
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.
p39 citywide · p48 within Neighbourhood Park
Source: Google Places API · match high (0.95 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 Fountainhead 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.
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.