
Bristol Avenue Parkette West
Parkette, above average overall (score 41, rank ~74th percentile). Strongest: connectivity; weakest: natural comfort.
No photograph yet. If you have one of Bristol Avenue Parkette West, we would like to use it.
Submit a photoAerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Data updated
Bristol Avenue Parkette West scores 40.8 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (13.5). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.27 ha
What's here
Getting around
63 m of mapped path. Too little surface tagging to say how much is paved.
Too little path mapped to check for steps.
Typically 6 m to the nearest bench, and 9 m at the far end.
Nearest parking 14 m away. 1 of 7 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 65%
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).
Explain this score
Where did the 41 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
Bristol Avenue Parkette West works because its connectivity score (62) is above average and its amenity diversity (27) is also top quartile (12 intersections fall within 100 m of the edge).
What limits this park
Bristol Avenue Parkette West is held back by natural comfort (37, below-average): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally high connectivity (62, top quartile).
Jacobs reading
Bristol Avenue Parkette West 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 (66) but the surrounding streets are quiet (edge activation 14): frame without animation.
Typology classification
Classified as Parkette: small (2687 m²) with strong building frontage (36.1 per 100 m)
Edge Activation
Within 100 m of the park edge: 5 active uses (transit_stop, 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: 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 3 mapped paths/walkways and 8 sidewalk segments within 50 m; 12 street intersections within 100 m; 8 bus stops within a 400 m walk; 2 estimated access points across ~208 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
3 distinct amenity types in the park (playground, bench, drinking_water). Diversity 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. All data sources.
Natural Comfort
Natural-comfort components for this park: ~4.9% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 7 city-mapped trees inside the polygon (7.0/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. All data sources.
Enclosure / Eyes on Park
75 buildings within 25 m of the park edge (0 mid-rise, 75 low-rise, 0 tower); avg edge height 6.1 m (~2 floors); 36.1 buildings per 100 m of 208 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 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). All data sources.
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" that suppress foot traffic and isolate the park from its neighbourhood.
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 (3 types · 11 records)
- playground
- bench
- drinking water
Nearby active-edge features (39)
- parking lot14 m
- parking lot32 m
- transit stop: Dufferin St at Brandon Ave56 m
- restaurant: Geary Station62 m
- restaurant: Paradise Grapevine Winery66 m
- transit stop: Brandon Avenue73 m
- transit stop: Dufferin St at Geary Ave82 m
- parking lot94 m
- parking lot97 m
- restaurant: Parallel101 m
- retail: LP Europe Motorsport Inc103 m
- retail: RPM Import & Domestic103 m
- restaurant: General Public105 m
- retail: Ponte Plumbing Supplies108 m
- retail: The Butcher's Son111 m
- restaurant: North of Brooklyn Pizzeria114 m
- retail: Lisgar Motors115 m
- restaurant: The Greater Good118 m
- transit stop: Dufferin St at Chandos Ave120 m
- restaurant: Mista Boiga122 m
- retail: The Gas Station129 m
- retail: Harding Wood & Furniture132 m
- rail: North Toronto Subdivision133 m
- retail: Eightt Shades134 m
- rail: North Toronto Subdivision139 m
- retail140 m
- retail141 m
- rail: North Toronto Subdivision142 m
- retail: Caversham Booksellers149 m
- parking lot155 m
- restaurant: Blood Brothers Brewing167 m
- retail: King Kobra Vintage Canada168 m
- parking lot178 m
- parking lot180 m
- retail: SoundFX185 m
- retail: Portugal Kitchen Cabinets185 m
- retail: Grow It All186 m
- transit stop: Dupont St at Dufferin St193 m
- rail: North Toronto Subdivision199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality74th
- Edge activation70th
- Connectivity79th
- Amenity diversity78th
- Natural comfort28th
- Enclosure64th
Most similar parks
Closest in metric space across the five structural dimensions.
- Silvio Colella ParkNeighbourhood Park44
- Scarden ParkNeighbourhood Park41
- Redgrave ParkParkette44
- Elmbrook ParkNeighbourhood Park40
- Charlottetown ParkAthletic / Recreation Park42
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 Park26
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park26
- Mclevin Woods ParkRavine / Naturalized Park49
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 West 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.
- 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: 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.