Robert Street Playground
Parkette, above average overall (score 42, rank ~80th percentile). Strongest: enclosure; weakest: natural comfort.
Robert Street Playground scores 42.4 / 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 · 0.80 ha
What's here
Weighted across six dimensions · confidence 66%
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 42 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 Street Playground works because its enclosure score (92) is one of the city's strongest and its amenity diversity (33) is also top quartile (34 mid-rise buildings frame the edge with passive surveillance).
What limits this park
.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (92, top decile).
Jacobs reading
Robert Street Playground 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 (92) but the surrounding streets are quiet (edge activation 0): frame without animation.
- 12 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 parkette typology (+5 vs the median in small Parkette).
Typology classification
Classified as Parkette: small (7969 m²) with strong building frontage (20.6 per 100 m)
Edge Activation
Within 100 m of the park edge: 18 active uses (retail, cafe, transit_stop, restaurant) and 12 dead/hostile uses (highway, 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 15 sidewalk segments within 50 m; 16 street intersections within 100 m; 26 transit stops within a 400 m walk; 0 estimated access points across ~433 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
4 distinct amenity types in the park (bench, drinking_water, playground, sports_field). 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: ~14.0% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 20 city-mapped trees inside the polygon (20.0/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
89 buildings within 25 m of the park edge (34 mid-rise, 43 low-rise, 12 tower); avg edge height 16.7 m (~6 floors); 20.6 buildings per 100 m of 433 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 12 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 34 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, 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: 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 (4 types · 6 records)
- bench
- drinking water
- playground
- sports field
Nearby active-edge features (80)
- parking lot9 m
- parking lot23 m
- restaurant: Pita Land53 m
- retail56 m
- retail: Enchanting beauty57 m
- retail: Sutherland-Chan Clinic58 m
- retail: Three Cent Copy Centre61 m
- restaurant: WooJoo Bunsik62 m
- restaurant: Daily Dumpling62 m
- restaurant: Majestic Shawarma63 m
- retail: Duke65 m
- retail: glossix66 m
- retail: Nice Cleaners67 m
- highway: Spadina Avenue73 m
- highway: Bloor Street West78 m
- highway: Bloor Street West78 m
- highway: Bloor Street West79 m
- transit stop: Spadina Avenue80 m
- highway: Bloor Street West82 m
- highway: Spadina Avenue82 m
- highway: Spadina Avenue83 m
- highway: Bloor Street West83 m
- restaurant: Zaad91 m
- retail: La La Bakeshop92 m
- highway: Bloor Street West93 m
- retail: Freedom Mobile94 m
- highway: Bloor Street West94 m
- restaurant: Wild Wing96 m
- cafe: Tim Hortons97 m
- retail: Annex Photo98 m
- restaurant: Sushi Maido101 m
- retail103 m
- restaurant: So Famous104 m
- retail: COBS Bread107 m
- highway: Spadina Avenue108 m
- highway: Bloor Street West108 m
- restaurant: Kenzo Ramen109 m
- restaurant: Ghazale109 m
- parking lot110 m
- transit stop: Sussex Avenue110 m
- cafe: Palgong Tea111 m
- parking lot113 m
- retail: Runners Shop114 m
- transit stop: Spadina Avenue115 m
- transit stop: Sussex Avenue115 m
- restaurant: St. Louis Bar & Grill117 m
- restaurant: Burrito Bandidos117 m
- school: Spirit of Math118 m
- retail: Sleep Country120 m
- restaurant: Vietnam Lovely Noodle121 m
- parking lot121 m
- retail: Green Vibe124 m
- restaurant: Belly Buster128 m
- retail: Knob Hill Cleaners129 m
- restaurant: Bhoj Indian Cuisine130 m
- restaurant: Freshii131 m
- highway: Bloor Street West131 m
- restaurant: Myeongdong135 m
- restaurant: Blanco Cantina137 m
- restaurant: Indian Desire139 m
- parking lot142 m
- transit stop: Spadina145 m
- transit stop: Walmer Road146 m
- parking lot147 m
- retail: BMV Books149 m
- transit stop: Spadina149 m
- highway: Spadina Avenue150 m
- transit stop: Spadina Road West Entrance152 m
- retail: Annex Psyhic153 m
- restaurant: Fresh Kitchen + Juice Bar158 m
- retail: BMV Cafe159 m
- transit stop: Spadina Station161 m
- retail: Alex Cuts161 m
- parking lot161 m
- transit stop: Spadina Station162 m
- retail: Thunderstruck Books163 m
- transit stop: Spadina Road East Entrance164 m
- retail166 m
- highway: Spadina Avenue168 m
- restaurant: Cora Pizza170 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality80th
- Edge activation61th
- Connectivity78th
- Amenity diversity87th
- Natural comfort48th
- Enclosure97th
Most similar parks
Closest in metric space across the five structural dimensions.
- Winchester ParkParkette46
- Greenbelt ParkUrban Plaza44
- Chelsea Avenue PlaygroundUrban Plaza45
- Healey Willan ParkUrban Plaza44
- De Grassi St ParketteUrban Plaza43
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park28
- Arnell PlazaCivic Square50
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 Street 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. 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.