
Robert St Playground
Urban Plaza, in the top tier overall (score 43, rank ~86th percentile). Strongest: enclosure; weakest: natural comfort.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Robert St Playground scores 43.3 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.03 ha
Weighted across six dimensions · confidence 56%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Explain this score
Where did the 43 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
Robert St Playground works because its enclosure score (95) is one of the city's strongest and its edge activation (32) is also top quartile (16 mid-rise buildings frame the edge with passive surveillance).
What limits this park
Robert St Playground is held back by natural comfort (33, bottom quartile): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (95, top decile).
Jacobs reading
Robert St Playground sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- 5 nearby towers cast wind and shadow without contributing canopy: passive surveillance is plentiful but human-scale comfort is not.
Performance in context
- A modest overperformer for its urban plaza typology (+7 vs the median in pocket Urban Plaza).
Typology classification
Classified as Urban Plaza: 329 m², paved (0% canopy), 43.0 buildings/100 m
Edge Activation
Within 100 m of the park edge: 4 active uses (retail, restaurant, transit_stop) and 1 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 0 mapped paths/walkways and 11 sidewalk segments within 50 m; 8 street intersections within 100 m; 21 transit stops within a 400 m walk; 0 estimated access points across ~87 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
No amenities recorded. Score is 0 until inventory is loaded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: ~2.1% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 3 city-mapped trees inside the polygon (3.0/ha). Reading: exposed. Source coverage: 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
43 buildings within 25 m of the park edge (16 mid-rise, 22 low-rise, 5 tower); avg edge height 15.8 m (~5 floors); 43.0 buildings per 100 m of 87 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 5 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 16 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 (0)
No amenities recorded for this park.
Nearby active-edge features (33)
- retail88 m
- transit stop: Sussex Avenue88 m
- transit stop: Sussex Avenue95 m
- parking lot97 m
- restaurant: Pita Land100 m
- restaurant: Bhoj Indian Cuisine107 m
- retail: Three Cent Copy Centre136 m
- retail: Enchanting beauty149 m
- retail: Sutherland-Chan Clinic152 m
- parking lot156 m
- restaurant: Booster Juice158 m
- restaurant: Cora Pizza160 m
- transit stop: Harbord Street162 m
- restaurant: Prime Doner Shwarma163 m
- parking lot165 m
- parking lot172 m
- restaurant: bbq chicken172 m
- restaurant: Dreyfus173 m
- retail: YGO Lab173 m
- retail: Spence174 m
- cafe: Almond Butterfly174 m
- restaurant: Aifam Sandwich Shop174 m
- retail: Caversham Booksellers174 m
- retail: Scholar House Productions174 m
- restaurant: Maven Toronto175 m
- restaurant: Boardroom Cafe175 m
- restaurant: piano piano176 m
- retail: Bakka-Phoenix Books177 m
- restaurant: Pig Out BBQ177 m
- restaurant: rasa180 m
- parking lot192 m
- restaurant: Grad Room194 m
- retail: Things Japanese195 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality86th
- Edge activation88th
- Connectivity63th
- Amenity diversity66th
- Natural comfort16th
- Enclosure99th
Most similar parks
Closest in metric space across the five structural dimensions.
- Bennett ParkUrban Plaza41
- Harold Town ParkUrban Plaza42
- Santa Chiara ParketteUrban Plaza40
- Seaton ParkUrban Plaza45
- Alex Murray ParketteUrban Plaza39
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 ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park26
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 Robert St Playgroundmatters. 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.