
Bristol Avenue Parkette West
Parkette, above average overall (score 39, rank ~71th percentile). Strongest: connectivity; weakest: natural comfort.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Bristol Avenue Parkette West scores 38.9 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (11.9). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.24 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 39 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 (63) significantly outpaces natural comfort (35) — well placed in the city but offers little shade or ecological respite.
- The park is enclosed by buildings (66) but the surrounding streets are quiet (edge activation 18) — frame without animation.
Performance in context
- A modest overperformer for its parkette typology (+8 vs the median in pocket Parkette).
Typology classification
Classified as Parkette: small (2436 m²) with strong building frontage (34.9 per 100 m)
Edge Activation
Within 100 m of the park edge: 6 active uses (transit_stop, retail, restaurant) and 4 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 3 mapped paths/walkways and 8 sidewalk segments within 50 m; 12 street intersections within 100 m; 18 transit stops within a 400 m walk; 2 estimated access points across ~212 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 (playground). 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: ~3.5% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 5 city-mapped trees inside the polygon (5.0/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
74 buildings within 25 m of the park edge (0 mid-rise, 74 low-rise, 0 tower); avg edge height 6.1 m (~2 floors); 34.9 buildings per 100 m of 212 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 0 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. 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)
- playground
Nearby active-edge features (37)
- parking lot13 m
- parking lot31 m
- transit stop — Dufferin St at Brandon Ave56 m
- restaurant — Paradise Grapevine Winery60 m
- transit stop — Brandon Avenue73 m
- transit stop — Dufferin St at Geary Ave79 m
- parking lot95 m
- restaurant — Parallel95 m
- parking lot97 m
- retail — RPM Import & Domestic97 m
- retail — LP Europe Motorsport Inc101 m
- retail — Ponte Plumbing Supplies102 m
- restaurant — Rush Hour Restaurant106 m
- restaurant — General Public107 m
- restaurant — North of Brooklyn Pizzeria108 m
- restaurant — The Greater Good112 m
- retail — The Butcher's Son115 m
- retail — Lisgar Motors118 m
- transit stop — Dufferin St at Chandos Ave120 m
- restaurant — Big Trouble Pizza125 m
- retail — The Gas Station127 m
- retail — Harding Wood & Furniture129 m
- retail — Eightt Shades131 m
- rail — North Toronto Subdivision133 m
- rail — North Toronto Subdivision133 m
- rail — North Toronto Subdivision137 m
- retail139 m
- retail — Newport Fish & Seafood145 m
- parking lot153 m
- retail — Galleria on the Park165 m
- retail — King Kobra Vintage Canada166 m
- restaurant — Blood Brothers Brewing172 m
- parking lot172 m
- parking lot179 m
- retail — SoundFX179 m
- transit stop — Dupont St at Dufferin St187 m
- retail — Grow It All191 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality71th
- Edge activation78th
- Connectivity79th
- Amenity diversity77th
- Natural comfort21th
- Enclosure60th
Most similar parks
Closest in metric space across the five structural dimensions.
- Silvio Colella ParkNeighbourhood Park41
- Woodsworth ParkNeighbourhood Park39
- Redgrave ParkParkette42
- Plunkett ParkParkette41
- Sandown ParkNeighbourhood Park41
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 ParkRavine / Naturalized Park26
- Rouge ParkWaterfront Park25
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 Bristol Avenue Parkette Westmatters. 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.
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.