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.
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
What limits this park
Most distinctive characteristic
Jacobs reading
Tradeoffs
- 5 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
- Strong physical conditions (score 43) but weak observed activity signals (9) — 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.
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 (3–7 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
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: pedestrian intensity 13.4/100; cycling/trail 22.3/100. The strongest signal is observed pedestrian/cycling activity. Source coverage: counters.
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.