Snider Parkette
Urban Plaza, in the top tier overall (score 44, rank ~88th percentile). Strongest: enclosure; weakest: natural comfort.
Photo by Reynold Chua via Google Places · cached 5/9/2026
Snider Parkette scores 44.3 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (27.3). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.18 ha
Weighted across six dimensions · confidence 70%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Street context
Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
Top-down view
City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above.
City of Toronto Orthophoto · cot_ortho most-current MapServer
Explain this score
Where did the 44 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
- Strong physical conditions (score 44) 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 (+8 vs the median in pocket Urban Plaza).
Typology classification
Classified as Urban Plaza: 1774 m², paved (11% canopy), 27.6 buildings/100 m
Edge Activation
Within 100 m of the park edge: 24 active uses (transit_stop, restaurant, cafe, retail, school) and 5 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 4 mapped paths/walkways and 14 sidewalk segments within 50 m; 5 street intersections within 100 m; 7 transit stops within a 400 m walk; 2 estimated access points across ~192 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
3 distinct amenity types in the park (fitness, 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: 11.1% estimated tree canopy; nearest waterbody ~413 m. Reading: exposed. Source coverage: treed_area, waterbodies. 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
53 buildings within 25 m of the park edge (10 mid-rise, 43 low-rise, 0 tower); avg edge height 9.0 m (~3 floors); 27.6 buildings per 100 m of 192 m perimeter — strong frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 10 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Yonge Street, parking_lot, Yonge Street, Yonge Street. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" — they 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 (3 types · 3 records)
- fitness
- playground
- tennis
Nearby active-edge features (55)
- transit stop — Yonge St at Lytton Blvd7 m
- cafe — Sava Crepes & Coffee11 m
- highway — Yonge Street14 m
- highway — Yonge Street17 m
- restaurant — Mandy's21 m
- retail — Tabac Cuban Cigars24 m
- transit stop — Yonge St at Blythwood Rd35 m
- parking lot36 m
- highway — Yonge Street37 m
- restaurant — Domino's47 m
- restaurant — C'est Bon47 m
- school — Blyth Academy Lawrence Park48 m
- cafe — Denovia Cafe50 m
- retail — Fuzz Wax Bar55 m
- retail — All That Sparkles61 m
- retail — Australian Boot Company64 m
- retail — La Rocca Creative Kitchen74 m
- parking lot77 m
- restaurant — The Captain’s Boil82 m
- restaurant — Himalayan Momo House84 m
- retail — Testa Uomo85 m
- retail — Canopy Blue85 m
- restaurant — City Kebab89 m
- retail — Nailsense92 m
- retail — The Ritz Unisex Salon92 m
- retail — Thean Nail Lounge95 m
- retail — My Inner Child Paint Bar Studio99 m
- retail — Prayosha Threading & Wax Bar99 m
- retail — Ikon Salon99 m
- cafe — Starbucks100 m
- retail — Favorite Nails & Spa104 m
- retail — Alexandra Cleaners107 m
- retail — Blo117 m
- retail — Dog Daycare & Grooming Boutique118 m
- retail122 m
- retail — Fresh Fruits House124 m
- retail — Bailey Nelson130 m
- restaurant — Cosmic Pizza & Donair132 m
- restaurant — Revitasize136 m
- restaurant — Bestung M136 m
- highway — Yonge Street138 m
- restaurant — Roberto’s Ristorante141 m
- retail — Civello145 m
- retail — Running Room149 m
- highway — Yonge Street150 m
- retail — Blu Boho151 m
- parking lot151 m
- restaurant — A&W155 m
- retail — Andrea’s Cookies157 m
- transit stop — Glencairn Avenue166 m
- retail — Primenko Home Appliances & Electronics178 m
- cafe — Tim Hortons185 m
- retail — See & Be Seen Eyecare193 m
- parking lot194 m
- retail — PP Beauty & Academy195 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality88th
- Edge activation92th
- Connectivity72th
- Amenity diversity92th
- Natural comfort63th
- Enclosure98th
Most similar parks
Closest in metric space across the five structural dimensions.
- Stanley Park North - TorontoAthletic / Recreation Park53
- Masaryk ParkUrban Plaza56
- Joseph Workman ParkUrban Plaza50
- Lakeshore Village ParkNeighbourhood Park51
- Jonathan Ashbridge ParkNeighbourhood Park54
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 ParkWaterfront Park25
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkRavine / Naturalized Park21
- Rouge ParkRavine / Naturalized Park28
Visitor signals
Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only — no usernames, no review text, no extra photos beyond the cached hero.
p73 citywide · p78 within Urban Plaza
Source: Google Places API · match high (0.97 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
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: no inputs available. The strongest signal is public attention / mentions. Source coverage: google-places.
Does this score feel accurate?
Your read of Snider Parkettematters. 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.