Moss Park
Athletic / Recreation Park, in the top tier overall (score 49, rank ~94th percentile). Strongest: connectivity; weakest: natural comfort.
Photo by Glenn Dickler via Google Places · cached 5/9/2026
Moss Park scores 48.6 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (11.8). Border-vacuum risk is elevated (36). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 3.46 ha
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Explain this score
Where did the 49 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
Moss Park works because its connectivity score (79) is one of the city's strongest and its amenity diversity (35) is also top decile (27 transit stops sit within a 400 m walk; 18 intersections fall within 100 m of the edge).
What limits this park
Moss Park's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional), risk score 36.
Most distinctive characteristic
Most distinctive feature: exceptionally high connectivity (79, top decile).
Jacobs reading
Moss Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- Connectivity (79) significantly outpaces natural comfort (52): well placed in the city but offers little shade or ecological respite.
- The park is enclosed by buildings (87) but the surrounding streets are quiet (edge activation 12): frame without animation.
Performance in context
- A modest overperformer for its athletic / recreation park typology (+7 vs the median in medium Athletic / Recreation Park).
Typology classification
Classified as Athletic / Recreation Park: 50% of amenity types are athletic (basketball, tennis). Secondary read: Neighbourhood Park (3.5 ha, framed by 37 mid-rise vs 16 towers).
Edge Activation
Within 100 m of the park edge: 31 active uses (transit_stop, cafe, retail, restaurant) and 9 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 25 mapped paths/walkways and 43 sidewalk segments within 50 m; 18 street intersections within 100 m; 27 transit stops within a 400 m walk; 7 estimated access points across ~747 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 (basketball, community_centre, playground, tennis). 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: ~22.7% effective canopy (0.4% from contiguous tree polygons + scattered tree density); nearest waterbody ~1206 m; 112 city-mapped trees inside the polygon (32.4/ha). Reading: exposed. Source coverage: treed_area, 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
89 buildings within 25 m of the park edge (37 mid-rise, 36 low-rise, 16 tower); avg edge height 17.3 m (~6 floors); 11.9 buildings per 100 m of 747 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 16 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 37 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, 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 · 5 records)
- basketball
- community centre
- playground
- tennis
Nearby active-edge features (80)
- transit stop: Sherbourne Street10 m
- transit stop: Shuter Street16 m
- transit stop: Sherbourne Street23 m
- cafe: Moss Park Espresso24 m
- retail: Moss Park Discount Store25 m
- retail: Dollarama26 m
- retail: Vape Box32 m
- transit stop: Queen Street East33 m
- retail: Artatorture Tattoos36 m
- parking lot37 m
- retail: Sherbourne Cannabis42 m
- parking lot43 m
- transit stop: Shuter Street43 m
- parking lot46 m
- transit stop: Queen Street East47 m
- retail: AT Barber & Hairstylist47 m
- retail: Seaton Street Pharmacy58 m
- parking lot59 m
- restaurant: FAMO Sandwhich Creations61 m
- retail64 m
- parking lot67 m
- parking lot68 m
- retail: 192268 m
- retail: Acadia Art & Rare Books69 m
- retail73 m
- parking lot75 m
- retail: Seaton Butchers76 m
- parking lot76 m
- restaurant: The Burrito Bros / The Burger Bros78 m
- retail: The Apartment Life79 m
- retail: Centre Honda Body Shop81 m
- retail: Allegra83 m
- retail: Angst Hair84 m
- restaurant: The New Buffallo Restaurant88 m
- restaurant: Le Diperie91 m
- restaurant: Jugo Juice93 m
- transit stop: Jarvis Street93 m
- retail: Ya Bikes!93 m
- parking lot98 m
- retail: Lee B Johnson's Department Store99 m
- restaurant: Subway100 m
- retail103 m
- retail: Fix Auto Collision109 m
- retail: Blaze District110 m
- retail111 m
- retail: Fun Guyz116 m
- retail: Kim's Convenience121 m
- retail122 m
- retail: Pink Elephant Creamery124 m
- transit stop: Jarvis Street125 m
- restaurant: Bad Egg126 m
- cafe: George Street Diner129 m
- retail: HAVEN130 m
- parking lot130 m
- retail: Garage Hair Repair Studio131 m
- retail: Queen & Jarivs Vape Shop134 m
- parking lot135 m
- retail: Petro-Canada136 m
- retail: Ben McNally139 m
- parking lot142 m
- restaurant: Yeti Kitchen144 m
- retail: My Legacy Cannabis146 m
- retail: TireSource147 m
- retail: Panemor153 m
- parking lot155 m
- parking lot161 m
- parking lot162 m
- retail: Parsian Fine Foods164 m
- retail: Moss Park Market165 m
- cafe: Tim Hortons167 m
- parking lot174 m
- retail: Platts Custom Cleaners176 m
- retail: Sweetgrass177 m
- restaurant: J-San Sushi Bar179 m
- restaurant: Mystic Muffin183 m
- parking lot184 m
- retail: Little Basket184 m
- transit stop: Ontario Street187 m
- retail: Dot Com Car Sales188 m
- cafe: ToGo Coffee188 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality94th
- Edge activation71th
- Connectivity98th
- Amenity diversity97th
- Natural comfort65th
- Enclosure94th
Most similar parks
Closest in metric space across the five structural dimensions.
- Little Norway ParkNeighbourhood Park53
- Macgregor PlaygroundAthletic / Recreation Park48
- Wychwood Barns ParkNeighbourhood Park48
- Blantyre ParkNeighbourhood Park40
- Sorauren Avenue ParkAthletic / Recreation Park45
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 ParkRavine / Naturalized Park21
- 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 Moss 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.
- Mitigate border vacuums (highways, rail, parking) with active programming on the still-permeable edges and treat the hostile edge as a design challenge.
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.