Salem Parkette
Urban Plaza, middle of the pack overall (score 37, rank ~64th percentile). Strongest: connectivity; weakest: natural comfort.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Salem Parkette scores 37.2 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (10.7). Border-vacuum risk is elevated (78). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.19 ha
Weighted across six dimensions · confidence 65%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 37 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
- Connectivity (73) significantly outpaces natural comfort (38) — 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 15) — frame without animation.
- High connectivity coexists with high border-vacuum risk (78) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
Typology classification
Classified as Urban Plaza: 1891 m², paved (0% canopy), 34.9 buildings/100 m
Edge Activation
Within 100 m of the park edge: 40 active uses (cafe, restaurant, retail, transit_stop) and 9 dead/hostile uses (parking_lot, highway, rail). 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 7 mapped paths/walkways and 17 sidewalk segments within 50 m; 17 street intersections within 100 m; 28 transit stops within a 400 m walk; 3 estimated access points across ~252 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
1 distinct amenity types in the park (fitness). 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: ~6.3% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 9 city-mapped trees inside the polygon (9.0/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
88 buildings within 25 m of the park edge (17 mid-rise, 71 low-rise, 0 tower); avg edge height 8.1 m (~3 floors); 34.9 buildings per 100 m of 252 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 17 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Toronto Parking Authority - Salem Lot, Bloor Street West, Bloor-Danforth Line, Bloor-Danforth Line. 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 (1 types · 1 records)
- fitness
Nearby active-edge features (80)
- parking lot — Toronto Parking Authority - Salem Lot2 m
- cafe — Field Trip Cafe24 m
- retail — Money Mart35 m
- restaurant — Gus Tacos35 m
- retail — Laundroworld36 m
- cafe — Cafe Paradise36 m
- restaurant — Pat’s Jamaican Jerk36 m
- restaurant — The Empire36 m
- retail — Blue Door Wine Shop36 m
- rail — Bloor-Danforth Line37 m
- rail — Bloor-Danforth Line37 m
- restaurant — Cabin Sports Bar37 m
- restaurant — Piano Piano37 m
- retail — Abrie's Convenience & Grocery Store38 m
- retail — 21 Seven Market43 m
- highway — Bloor Street West48 m
- retail50 m
- retail — Nosso Talho60 m
- retail — Kembass Cleaners61 m
- retail — Zoinks Music and Books62 m
- parking lot — Toronto Parking Authority - Bartlett Lot63 m
- highway — Bloor Street West64 m
- retail — Rebecca Gallery64 m
- retail — Hair by Lina64 m
- restaurant — Now & Later65 m
- retail — His and Her Hair Place65 m
- retail — Nosso Talho65 m
- parking lot66 m
- retail — Gold City Fruit Market66 m
- transit stop68 m
- retail — Fernades Cleaning Supplies;Fernandes Cleaning Supplies72 m
- highway — Bloor Street West75 m
- restaurant — Maker Pizza75 m
- restaurant — Hana Sushi77 m
- restaurant — Bloor Bar Cafe78 m
- cafe — The Maker Bean Café78 m
- restaurant — Desi Food Junction79 m
- restaurant — 1910 La Mexicana Sabor A Patria79 m
- retail — Hollow Ground Barber Shop82 m
- cafe — World Peace82 m
- retail — Epheson Beauty Salon86 m
- retail — Freedom Mobile89 m
- restaurant — 241 Pizza91 m
- retail — Value Village91 m
- retail — Balloons on Bloor93 m
- restaurant — Sarang Kitchen95 m
- transit stop98 m
- highway — Bloor Street West98 m
- restaurant — Jankie's Place98 m
- highway — Bloor Street West101 m
- transit stop102 m
- retail — Mediterrania103 m
- restaurant — Dovercourt Village Pizza106 m
- restaurant — Yauca's Lounge106 m
- retail — Super Star Nails & HAir107 m
- retail — Bloor Mini Mart108 m
- retail108 m
- retail — INS Market112 m
- restaurant — Mumbaikar Indian Restaurant & Bar114 m
- retail115 m
- transit stop — Northumberland Street116 m
- retail — Phone Solutions117 m
- restaurant — Billy's Souvlaki Place118 m
- highway — Bloor Street West119 m
- retail — The Monkey's Paw122 m
- highway — Bloor Street West123 m
- transit stop — Northumberland Street124 m
- restaurant — Wenona127 m
- parking lot131 m
- retail — Lucky Discount Variety132 m
- retail — Aakriti Threading & Wax Bar132 m
- retail — Tokyo Smoke132 m
- retail — Ayesha's Hair & Aesthetics137 m
- restaurant — African Palace138 m
- retail — Gigi's House of Frills140 m
- parking lot140 m
- restaurant — Taqueria Vegana142 m
- retail — Muddy George147 m
- retail — Tips 2 Toes148 m
- retail — Flouring Ideas151 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality64th
- Edge activation73th
- Connectivity94th
- Amenity diversity70th
- Natural comfort33th
- Enclosure93th
Most similar parks
Closest in metric space across the five structural dimensions.
- Dufferin - King ParkUrban Plaza37
- Westmoreland Avenue ParketteUrban Plaza40
- Neil Mclellan ParkUrban Plaza33
- Stanley G. Grizzle ParkUrban Plaza46
- Rita Cox ParkUrban Plaza45
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 — 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 Salem 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.
- Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
- 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.