
Wishing Well Woods
Ravine / Naturalized Park, in the top tier overall (score 47, rank ~92th percentile). Strongest: natural comfort; weakest: amenity diversity.
Photo by phraseography via Google Places · cached 5/9/2026
Wishing Well Woods scores 47 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: amenity diversity (11.9). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 1.02 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 47 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
Wishing Well Woods works because its natural comfort score (78) is in the top tier and its enclosure (80) is also top quartile (33% tree canopy provides real shade; it sits inside the ravine system).
What limits this park
.
Most distinctive characteristic
Most distinctive feature: exceptionally high natural comfort (78, top decile).
Jacobs reading
Wishing Well Woods sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- The park is enclosed by buildings (80) but the surrounding streets are quiet (edge activation 20): frame without animation.
Performance in context
- A modest overperformer for its ravine / naturalized park typology (+11 vs the median in medium Ravine / Naturalized Park ravine).
Typology classification
Classified as Ravine / Naturalized Park: 72% ravine overlap, 33% canopy. Secondary read: Neighbourhood Park (1.0 ha, framed by 11 mid-rise vs 3 towers).
Edge Activation
Within 100 m of the park edge: 9 active uses (transit_stop, retail, restaurant) 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 1 mapped paths/walkways and 19 sidewalk segments within 50 m; 9 street intersections within 100 m; 12 transit stops within a 400 m walk; 2 estimated access points across ~584 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
1 distinct amenity types in the park (playground). 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: 33.3% estimated tree canopy; 72.0% inside the ravine system; nearest waterbody ~486 m; 15 city-mapped trees inside the polygon (14.7/ha). Reading: ravine-cooled. Source coverage: treed_area, ravine, 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
82 buildings within 25 m of the park edge (11 mid-rise, 68 low-rise, 3 tower); avg edge height 8.6 m (~3 floors); 14.0 buildings per 100 m of 584 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); 3 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 11 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 (1 types · 1 records)
- playground
Nearby active-edge features (18)
- parking lot41 m
- parking lot41 m
- restaurant: Lin Garden Restaurant55 m
- parking lot58 m
- retail: Ca$h 4 You63 m
- retail: Wishing Well Smoke & Gift Shop68 m
- restaurant: Pizza Hot Wings71 m
- retail: Holland Daze77 m
- transit stop: Pharmacy Avenue79 m
- parking lot86 m
- parking lot88 m
- transit stop: Pharmacy Avenue93 m
- restaurant: Tasty Shawarma & Falafel96 m
- transit stop: Abbotsfield Gate99 m
- transit stop: Sheppard Avenue East132 m
- transit stop: Abbotsfield Gate148 m
- transit stop: Sheppard Avenue East167 m
- parking lot185 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality92th
- Edge activation78th
- Connectivity77th
- Amenity diversity72th
- Natural comfort90th
- Enclosure84th
Most similar parks
Closest in metric space across the five structural dimensions.
- Ormskirk ParkRavine / Naturalized Park50
- Sunnydene ParkWaterfront Park46
- Suydam ParkRavine / Naturalized Park52
- Harryetta GardensRavine / Naturalized Park47
- West Highland Creek WatercourseWaterfront Park40
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Rouge ParkRavine / Naturalized Park18
- Trca Lands ( 58)Waterfront Park18
- Rouge ParkRavine / Naturalized Park21
- Scarborough Hydro Green SpaceOther20
- Rouge ParkRavine / Naturalized Park20
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.
p11 citywide · p12 within Ravine / Naturalized Park
Source: Google Places API · match high (0.93 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 Wishing Well Woodsmatters. 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.
- 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.