Shaw Park
Parkette, one of the city's strongest overall (score 70, rank ~100th percentile). Strongest: edge activation; weakest: natural comfort.
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Shaw Park scores 69.8 / 100. Strongest dimensions: enclosure / eyes on park and edge activation. Weakest: amenity diversity (36.7). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.67 ha
What's here
Getting around
367 m of mapped path. Too little surface tagging to say how much is paved.
No steps mapped on the path network.
Typically 11 m to the nearest bench, and 21 m at the far end.
Nearest parking 105 m away. 1 of 5 nearby lots reporting 1 accessible space.
Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.
Weighted across six dimensions · confidence 72%
Data confidence: moderate
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).
Public art in this park
Near the park
2Simon Bolivar
Armando Sorondo, 1983
Sculpture · bronze, masonry
Photo: City of Toronto. Source: City of Toronto Public Art
Numbers match the pins on the map. Works near the park are within 30 m of its edge.
Explain this score
Where did the 70 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
Shaw Park works because its edge activation score (85) is one of the city's strongest and its enclosure (93) is also top decile (its perimeter is lined with active uses).
What limits this park
Shaw 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 edge activation (85, top decile).
Jacobs reading
Shaw Park is a balanced hybrid: strong urban integration (80) and meaningful natural comfort (74). Rare in the Toronto Park Catalogue.
Performance in context
- This park is a strong overperformer for its cohort: raw 70 versus an expected 37 for similar parks (small Parkette) (gap +33).
Typology classification
Classified as Parkette: small (6712 m²) with strong building frontage (21.6 per 100 m)
Edge Activation
Within 100 m of the park edge: 35 active uses (retail, restaurant, cafe, transit_stop) and 0 dead/hostile uses (none). Active edges keep "eyes on the park" through the day; parking lots, blank institutional walls, rail and highway frontages drain street life.
Source: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 21 sidewalk segments within 50 m; 10 street intersections within 100 m; 8 streetcar or LRT stops, 5 bus stops within a 400 m walk; 0 estimated access points across ~324 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. All data sources.
Amenity Diversity
4 distinct amenity types in the park (art, bench, garden, shelter). Diversity drives the score, so a park with many distinct activity types can outrank a larger park that repeats the same use. 1 public artwork in the park and 1 nearby add a bonus for the number of works.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags. All data sources.
Natural Comfort
Natural-comfort components for this park: 27.7% estimated tree canopy; nearest waterbody ~1393 m. Reading: partially shaded. 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. All data sources.
Enclosure / Eyes on Park
70 buildings within 25 m of the park edge (18 mid-rise, 52 low-rise, 0 tower); avg edge height 9.5 m (~3 floors); 21.6 buildings per 100 m of 324 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 18 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights). All data sources.
Border Vacuum Risk
Park edges face the city. No significant border vacuum detected.
Source: OpenStreetMap: highways, rail, parking. All data sources.
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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.
Amenities (4 types · 12 records)
- art
- bench
- garden
- shelter
Nearby active-edge features (80)
- transit stop: Shaw Street3 m
- transit stop: Shaw Street11 m
- transit stop: Queen Street West19 m
- retail: Mofer Coffee20 m
- retail: Sekai Nail and Beauty Bar25 m
- retail: Foreign Rider Co25 m
- retail: Hanji Gifts25 m
- retail: Rainbow Collective25 m
- retail: Sharpen26 m
- restaurant: Ceniza26 m
- retail26 m
- retail27 m
- restaurant: Prime Seafood Palace27 m
- retail33 m
- transit stop: Shaw Street35 m
- restaurant: Chadon Beni37 m
- retail: BYOB Cocktail Emporium37 m
- retail: Ron's Cigar Store39 m
- retail: Hong Phat41 m
- restaurant: AMA44 m
- retail: Show Gallery45 m
- retail: Philistine48 m
- retail: Paul Petro49 m
- restaurant: Jules Bistro53 m
- retail: The Citizen Room53 m
- restaurant: Carmen58 m
- cafe: Mercat del Carmen62 m
- retail: 18 Waits73 m
- retail: Blacksmith Cycle77 m
- restaurant: Lipstick & Dynamite79 m
- retail: KNIFE82 m
- restaurant: Frankie's Diner84 m
- restaurant: Montgomery's90 m
- transit stop: Ossington Avenue92 m
- restaurant: Jal Jood96 m
- parking lot105 m
- parking lot105 m
- retail: Size?110 m
- retail: Hobbiesville116 m
- restaurant: Sweaty Betty's120 m
- cafe: Jimmy's Coffee122 m
- restaurant: Grill Dudes128 m
- transit stop: Queen Street West132 m
- restaurant: Le Swan133 m
- retail: Convenience Canada136 m
- transit stop: Adelaide Street West137 m
- retail: Trinity Flower Cannabis138 m
- retail: Parlour140 m
- transit stop: Ossington Avenue141 m
- retail: Fawn141 m
- retail: Vape Palace142 m
- retail: Tusk143 m
- transit stop: Ossington Avenue144 m
- retail: Mirror Mirror144 m
- retail: Gaspard146 m
- transit stop: Adelaide Street West149 m
- retail: Consign Toronto151 m
- retail: Atomic153 m
- retail: Stuart Jackson Gallery155 m
- retail: Gravitypope155 m
- retail: Aesop160 m
- retail: Reigning Champ161 m
- retail: Locks & Mane163 m
- retail: Downtown Winery165 m
- cafe: Tim Hortons167 m
- parking lot167 m
- parking lot169 m
- retail: Le Labo169 m
- retail: Ollie Quinn172 m
- retail: Ratelier172 m
- restaurant: Mother173 m
- retail: Wine Rack173 m
- retail: Ossington Self Storage176 m
- retail: Carhartt WIP177 m
- restaurant: Oyster Boy177 m
- retail: Planet of Sound178 m
- retail: AREA+001181 m
- retail: Suzi Roher182 m
- retail: Six Vapes183 m
- retail: Cooney for Hair184 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality100th
- Edge activation100th
- Connectivity80th
- Amenity diversity89th
- Natural comfort79th
- Enclosure98th
Most similar parks
Closest in metric space across the five structural dimensions.
- Market Lane ParkUrban Plaza68
- Manor Community GreenUrban Plaza64
- Bellevue Square ParkCivic Square73
- Malta ParkUrban Plaza61
- Graham ParkUrban Plaza65
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Rouge ParkRavine / Naturalized Park21
- Trca Lands ( 58)Ravine / Naturalized Park18
- Rouge ParkRavine / Naturalized Park18
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park26
- Trca Lands ( 26)Ravine / Naturalized Park27
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 Shaw Park matters. 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.
- Diversify what people can do in the park (playground, washroom, water, shade, performance, sport, garden): even small additions raise this score.
Data sources
- City of Toronto Open Data: Green SpacesPolygon boundaries, official names, land classes. 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.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.