Arcadia Co-operative Backyard
Urban Plaza, middle of the pack overall (score 34, rank ~49th percentile). Strongest: enclosure; weakest: natural comfort.
Arcadia Co-operative Backyard scores 34.2 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. 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 · 0.12 ha
What's here
Weighted across six dimensions · confidence 65%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 34 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
Arcadia Co-operative Backyard works because its enclosure score (94) is one of the city's strongest (25 mid-rise buildings frame the edge with passive surveillance).
What limits this park
Arcadia Co-operative Backyard is held back by natural comfort (26, bottom quartile): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (94, top decile).
Jacobs reading
Arcadia Co-operative Backyard 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 (94) but the surrounding streets are quiet (edge activation 0): frame without animation.
Performance in context
- Citywide rank is high (49th) but typology rank is more modest (29th): the strength likely comes from the dataset average pulling lower than this typology’s baseline.
Typology classification
Classified as Urban Plaza: 1233 m², paved (0% canopy), 21.2 buildings/100 m
Edge Activation
Within 100 m of the park edge: 0 active uses (none) and 1 dead/hostile uses (highway). 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 2 mapped paths/walkways and 13 sidewalk segments within 50 m; 6 street intersections within 100 m; 13 transit stops within a 400 m walk; 0 estimated access points across ~212 m of perimeter. low edge density, significant superblock penalty applied. 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 (shelter). 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: 0.0% estimated tree canopy; nearest waterbody ~141 m. Reading: water-cooled. Source coverage: waterbodies. 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
45 buildings within 25 m of the park edge (25 mid-rise, 17 low-rise, 3 tower); avg edge height 15.8 m (~5 floors); 21.2 buildings per 100 m of 212 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 3 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 25 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Park edges face the city. No significant border vacuum detected.
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)
- shelter
Nearby active-edge features (25)
- highway: Lake Shore Boulevard West89 m
- highway: Lake Shore Boulevard West103 m
- retail: Harbour Green Farms109 m
- transit stop: Fleet Street112 m
- highway: Lake Shore Boulevard West117 m
- parking lot117 m
- transit stop: Bathurst Street, Billy Bishop Airport119 m
- transit stop: Bathurst Street125 m
- highway: Lake Shore Boulevard West130 m
- highway: Lake Shore Boulevard West132 m
- parking lot135 m
- retail: TD Canada Trust149 m
- retail: Harbour Nails150 m
- highway: Lake Shore Boulevard West159 m
- parking lot159 m
- highway: Lake Shore Boulevard West160 m
- transit stop: Fleet Street168 m
- retail: Hunny Pot Cannabis174 m
- retail: Mr & Mrs Dry Cleaners183 m
- highway: Lake Shore Boulevard West188 m
- retail: Joe Fresh189 m
- parking lot189 m
- restaurant: Subway195 m
- retail: Platis Cleaners198 m
- retail: Pet Social199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality49th
- Edge activation59th
- Connectivity47th
- Amenity diversity53th
- Natural comfort13th
- Enclosure98th
Most similar parks
Closest in metric space across the five structural dimensions.
- Parkview Gardens ParketteUrban Plaza28
- City Wide Open SpaceUrban Plaza35
- Chestnut Pk Rd - Thornwood Rd Traffic IslandUrban Plaza33
- City Wide Open SpaceUrban Plaza27
- Castlefield ParketteUrban Plaza37
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Toronto ZooWaterfront Park67
- Kew GardensNeighbourhood Park75
- Mclevin Woods ParkRavine / Naturalized Park49
- Toronto Islands - Island ParkWaterfront Park57
- Toronto Islands - Centre Island ParkWaterfront Park55
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 Arcadia Co-operative Backyardmatters. 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.
- 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. 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.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.