Moss Park
Neighbourhood Park, one of the city's strongest overall (score 59, rank ~99th percentile). Strongest: amenity diversity; weakest: natural comfort.
Photo by Glenn Dickler via Google Places · cached 5/9/2026
Moss Park scores 58.6 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (23.3). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 2.64 ha
What's here
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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Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 59 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 amenity diversity score (57) is one of the city's strongest and its connectivity (77) is also top decile (10 distinct amenity types support different kinds of use).
What limits this park
Moss Park doesn't have a clear weakness. Every measured dimension is at or above the middle of the pack.
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (57, 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
- The park is enclosed by buildings (87) but the surrounding streets are quiet (edge activation 23): frame without animation.
Performance in context
- This park is a strong overperformer for its cohort: raw 59 versus an expected 39 for similar parks (medium Neighbourhood Park) (gap +19).
Typology classification
Classified as Neighbourhood Park: 2.6 ha, framed by 30 mid-rise vs 12 towers
Edge Activation
Within 100 m of the park edge: 23 active uses (transit_stop, cafe, retail, restaurant) and 7 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 29 sidewalk segments within 50 m; 14 street intersections within 100 m; 24 transit stops within a 400 m walk; 8 estimated access points across ~676 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
10 distinct amenity types in the park (basketball, community_centre, playground, tennis, bench, drinking_water, …). 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: ~29.7% effective canopy (0.5% from contiguous tree polygons + scattered tree density); nearest waterbody ~1226 m; 112 city-mapped trees inside the polygon (42.4/ha). Reading: partially shaded. 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
74 buildings within 25 m of the park edge (30 mid-rise, 32 low-rise, 12 tower); avg edge height 16.2 m (~5 floors); 11.0 buildings per 100 m of 676 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 30 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. 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 (10 types · 30 records)
- basketball
- community centre
- playground
- tennis
- bench
- drinking water
- fountain
- garden
- sports field
- washroom
Nearby active-edge features (75)
- transit stop: Shuter Street15 m
- retail: Dollarama26 m
- retail: Moss Park Discount Store37 m
- transit stop: Shuter Street42 m
- parking lot43 m
- transit stop: Sherbourne Street46 m
- retail: Artatorture Tattoos46 m
- transit stop: Sherbourne Street47 m
- retail: Sherbourne Cannabis51 m
- retail: AT Barber & Hairstylist56 m
- parking lot58 m
- retail: Vape Box60 m
- retail: Seaton Street Pharmacy66 m
- transit stop: Queen Street East67 m
- parking lot67 m
- cafe: Moss Park Espresso70 m
- retail71 m
- parking lot74 m
- retail: Acadia Art & Rare Books75 m
- retail79 m
- transit stop: Queen Street East80 m
- retail: Seaton Butchers82 m
- parking lot84 m
- retail: The Apartment Life85 m
- retail: Angst Hair89 m
- parking lot91 m
- parking lot92 m
- restaurant: The New Buffallo Restaurant93 m
- restaurant: FAMO Sandwhich Creations95 m
- retail: Ya Bikes!98 m
- retail: 1922103 m
- retail: Lee B Johnson's Department Store104 m
- retail: Centre Honda Body Shop107 m
- retail108 m
- transit stop: Jarvis Street108 m
- restaurant: The Burrito Bros / The Burger Bros111 m
- retail115 m
- retail: Allegra116 m
- retail123 m
- parking lot123 m
- restaurant: Le Diperie125 m
- retail: Kim's Convenience125 m
- restaurant: Jugo Juice126 m
- retail: Fix Auto Collision127 m
- parking lot130 m
- retail: Pink Elephant Creamery132 m
- restaurant: Subway134 m
- parking lot136 m
- transit stop: Jarvis Street138 m
- retail: Garage Hair Repair Studio138 m
- retail: Queen & Jarivs Vape Shop141 m
- parking lot145 m
- retail: Blaze District145 m
- retail: Ben McNally146 m
- retail: Fun Guyz151 m
- restaurant: Yeti Kitchen151 m
- parking lot155 m
- parking lot160 m
- restaurant: Bad Egg161 m
- retail: My Legacy Cannabis163 m
- parking lot165 m
- retail: TireSource166 m
- retail: Moss Park Market167 m
- retail: Panemor167 m
- cafe: George Street Diner176 m
- retail: HAVEN177 m
- retail: Parsian Fine Foods177 m
- retail: Petro-Canada178 m
- restaurant: J-San Sushi Bar180 m
- cafe: ToGo Coffee190 m
- retail: Sweetgrass191 m
- transit stop: Ontario Street191 m
- restaurant: MJ Curry Kitchen & Shawarma195 m
- retail: Dot Com Car Sales196 m
- retail: VapeX197 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality99th
- Edge activation79th
- Connectivity97th
- Amenity diversity99th
- Natural comfort73th
- Enclosure93th
Most similar parks
Closest in metric space across the five structural dimensions.
- Little Norway ParkNeighbourhood Park59
- Baird ParkNeighbourhood Park59
- June Rowlands ParkNeighbourhood Park59
- Wanless ParkNeighbourhood Park55
- Stanley Park South - TorontoNeighbourhood Park58
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Rouge ParkRavine / Naturalized Park21
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park18
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.
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.