
WILLOWDALE LAWN BOWLING CLUB - Building Grounds
Parkette, middle of the pack overall (score 37, rank ~62th percentile). Strongest: enclosure; weakest: connectivity.
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Data updated
WILLOWDALE LAWN BOWLING CLUB - Building Grounds scores 37.4 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: edge activation (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.97 ha
What's here
Getting around
No walking paths mapped in OpenStreetMap.
No seating mapped in OpenStreetMap.
Nearest parking 36 m away. None of the 9 nearby lots records whether it has accessible spaces.
Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.
Weighted across six dimensions · confidence 72%
Data confidence: moderate
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Grounds of a City building, not a designated park. It is left out of park rankings.
Explain this score
Where did the 37 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
WILLOWDALE LAWN BOWLING CLUB - Building Grounds works because its enclosure score (77) is above average and its natural comfort (58) is also above-average (6 mid-rise buildings frame the edge with passive surveillance).
What limits this park
WILLOWDALE LAWN BOWLING CLUB - Building Grounds doesn't have a clear weakness. Every measured dimension is at or above the middle of the pack.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (77, top quartile).
Jacobs reading
WILLOWDALE LAWN BOWLING CLUB - Building Grounds 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 (77) but the surrounding streets are quiet (edge activation 0): frame without animation.
Typology classification
Classified as Parkette: small (9734 m²) with strong building frontage (7.3 per 100 m)
Edge Activation
Within 100 m of the park edge: 0 active uses (none) and 2 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: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 16 sidewalk segments within 50 m; 2 street intersections within 100 m; 2 subway or GO stations, 8 bus stops within a 400 m walk; 0 estimated access points across ~480 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. All data sources.
Amenity Diversity
1 distinct amenity types in the park (sports_field). Diversity 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. All data sources.
Natural Comfort
Natural-comfort components for this park: 19.1% estimated tree canopy; nearest waterbody ~839 m; 19 city-mapped trees inside the polygon (19.0/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. All data sources.
Enclosure / Eyes on Park
35 buildings within 25 m of the park edge (6 mid-rise, 22 low-rise, 7 tower); avg edge height 19.5 m (~7 floors); 7.3 buildings per 100 m of 480 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 7 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 6 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights). All data sources.
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: OpenStreetMap: highways, rail, parking. All data sources.
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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.
Amenities (1 types · 3 records)
- sports field
Nearby active-edge features (10)
- parking lot36 m
- parking lot95 m
- parking lot101 m
- retail: Stock Up Market104 m
- parking lot108 m
- parking lot: Beecroft Parking Garage125 m
- parking lot140 m
- parking lot146 m
- parking lot166 m
- parking lot179 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality62th
- Edge activation62th
- Connectivity57th
- Amenity diversity64th
- Natural comfort75th
- Enclosure81th
Most similar parks
Closest in metric space across the five structural dimensions.
- Old Orchard ParkParkette41
- Bloor - Bedford ParketteUrban Plaza30
- Cashman ParkRavine / Naturalized Park40
- City Wide Open SpaceUrban Plaza39
- Chauncey - Islington ParketteParkette40
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Kew GardensNeighbourhood Park76
- Leslie Grove ParkParkette73
- Bellevue Square ParkCivic Square73
- Arnell PlazaCivic Square50
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
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 WILLOWDALE LAWN BOWLING CLUB - Building Grounds matters. 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.
- Add or open more entrances and improve sidewalk continuity around the park. More permeability means more spontaneous use.
- 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: Green SpacesPolygon boundaries, official names, land classes. 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.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.