S.A.D.R.A. Park
Corridor / Linear Park, one of the city's strongest overall (score 52, rank ~97th percentile). Strongest: connectivity; weakest: natural comfort.
Photo by Warren Day via Google Places · cached 5/9/2026
S.A.D.R.A. Park scores 51.6 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: amenity diversity (19.9). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 1.20 ha
Weighted across six dimensions · confidence 68%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Street context
Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
Top-down view
City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above.
City of Toronto Orthophoto · cot_ortho most-current MapServer
Explain this score
Where did the 52 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
- Connectivity (80) significantly outpaces natural comfort (34) — well placed in the city but offers little shade or ecological respite.
- Strong physical conditions (score 52) but weak observed activity signals (8) — the model says this should work, but events, mentions, and counters say it isn't being used at the level the urban form would predict.
- High connectivity (80) coexists with little programming evidence — easy to reach, but no recurring civic life detected.
Performance in context
- This park is a strong overperformer for its cohort — raw 52 versus an expected 37 for similar parks (medium Corridor / Linear Park) (gap +15).
Typology classification
Classified as Corridor / Linear Park: shape elongation 2.8× a circle of equal area. Secondary read: Neighbourhood Park (1.2 ha, framed by 18 mid-rise vs 0 towers).
Edge Activation
Within 100 m of the park edge: 11 active uses (transit_stop, retail, restaurant, 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 19 mapped paths/walkways and 37 sidewalk segments within 50 m; 29 street intersections within 100 m; 21 transit stops within a 400 m walk; 13 estimated access points across ~1,104 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 (fitness, 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: ~1.2% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~907 m; 2 city-mapped trees inside the polygon (1.7/ha). Reading: exposed. Source coverage: 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
301 buildings within 25 m of the park edge (18 mid-rise, 283 low-rise, 0 tower); avg edge height 6.6 m (~2 floors); 27.3 buildings per 100 m of 1,104 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 18 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. 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)
- fitness
- playground
Nearby active-edge features (61)
- parking lot40 m
- transit stop — Old Weston Rd at Rockwell Ave66 m
- restaurant — Marina’s Casa da Comida83 m
- retail — Librarie Mosaique84 m
- restaurant — Sabors Tradicionais85 m
- transit stop — Old Weston Rd at Rockwell Ave85 m
- restaurant — Unique Cafe Restaurant86 m
- restaurant — Sabor Brazil88 m
- retail — Benjamin Moore90 m
- cafe — Aunty Em's Deli & Coffee93 m
- restaurant — Marinho Sports Bar95 m
- parking lot96 m
- retail — Hi-Five Computer97 m
- parking lot100 m
- restaurant — El Rancherito101 m
- parking lot — Carpark 133101 m
- retail — Salon Dionne105 m
- retail — Victoria Dry Cleaners106 m
- transit stop — Laughton107 m
- retail — St. Clair Bakery109 m
- restaurant — Flor do Ave115 m
- retail — Boston Variety117 m
- transit stop — Silverthorn Avenue118 m
- retail120 m
- retail — Calabria Wearing123 m
- retail — Newediuk Funeral Home124 m
- retail — Alli's Fresh Baked125 m
- retail — Lucky Star Flowers125 m
- restaurant — Da Silva Sports Bar & Grill126 m
- restaurant — Samba128 m
- community — Toronto Public Library - St. Clair/Silverthorn130 m
- retail — Bad Buddha Tattoes134 m
- restaurant — Huong Viet Restaurant136 m
- cafe — Lido Caffe136 m
- retail — St. Lucia Variety141 m
- transit stop — Silverthorn Avenue143 m
- retail — Golden Star147 m
- parking lot148 m
- transit stop — Laughton150 m
- retail — Dollar & Variety Store150 m
- restaurant — Pho Xua151 m
- retail — City Nails153 m
- restaurant — Banh Cuon Pho Ga155 m
- restaurant — King's Delight156 m
- transit stop — Townsley Loop at Townsley St157 m
- retail — Sister's Choice158 m
- retail — Sandro's Barber Shop158 m
- restaurant — Tropical Venue159 m
- cafe — Hounslow's House161 m
- retail — West York Appliances & Furniture162 m
- parking lot163 m
- retail — Art Collective CODA165 m
- parking lot179 m
- retail — Pacho’s Convenience179 m
- transit stop — Old Weston Rd at St Clair Ave W181 m
- retail — Popy Furniture188 m
- parking lot190 m
- restaurant — Távora195 m
- restaurant — Pita & Grill198 m
- restaurant — Pizza Pan199 m
- retail200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality97th
- Edge activation93th
- Connectivity99th
- Amenity diversity86th
- Natural comfort17th
- Enclosure79th
Most similar parks
Closest in metric space across the five structural dimensions.
- East Toronto Athletic FieldNeighbourhood Park50
- Susan Tibaldi ParketteUrban Plaza48
- Glen Stewart ParkRavine / Naturalized Park49
- Wenderly ParkNeighbourhood Park52
- Wallace Emerson 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.
p44 citywide · p63 within Corridor / Linear Park
Source: Google Places API · match high (0.97 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
Human activity signals
Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.
Activity reading: no inputs available. The strongest signal is consistent rhythm across the day. Source coverage: google-places.
Does this score feel accurate?
Your read of S.A.D.R.A. 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.