
Avondale Park
Parkette, in the top tier overall (score 50, rank ~94th percentile). Strongest: connectivity; weakest: amenity diversity.
Photo by Abdul Rahman Busair via Google Places · cached 5/9/2026
Data updated
Avondale Park scores 50.3 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (17). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.98 ha
What's here
Getting around
814 m of mapped path. Too little surface tagging to say how much is paved.
No steps mapped on the path network.
Typically 13 m to the nearest bench, and 32 m at the far end.
Nearest parking 50 m away. None of the 9 nearby lots records whether it has accessible spaces.
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 68%
Data confidence: moderate
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 50 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
Avondale Park works because its connectivity score (78) is one of the city's strongest and its enclosure (85) is also top decile (12 intersections fall within 100 m of the edge).
What limits this park
Avondale 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 connectivity (78, top decile).
Jacobs reading
Avondale Park 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 (85) but the surrounding streets are quiet (edge activation 17): frame without animation.
Performance in context
- This park is a strong overperformer for its cohort: raw 50 versus an expected 37 for similar parks (small Parkette) (gap +13).
Typology classification
Classified as Parkette: small (9781 m²) with strong building frontage (8.4 per 100 m)
Edge Activation
Within 100 m of the park edge: 2 active uses (retail) and 1 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 37 mapped paths/walkways and 20 sidewalk segments within 50 m; 12 street intersections within 100 m; 1 subway or GO station, 4 bus stops within a 400 m walk; 15 estimated access points across ~391 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
2 distinct amenity types in the park (playground, bench). 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: ~36.4% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~687 m; 52 city-mapped trees inside the polygon (52.0/ha). Reading: partially shaded. Source coverage: waterbodies, 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
33 buildings within 25 m of the park edge (23 mid-rise, 5 low-rise, 5 tower); avg edge height 20.1 m (~7 floors); 8.4 buildings per 100 m of 391 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 5 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 23 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. 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 (2 types · 14 records)
- playground
- bench
Nearby active-edge features (43)
- retail: Rabba45 m
- parking lot50 m
- retail: Sonya Salon & Spa96 m
- restaurant: Pizza Nova108 m
- highway: Yonge Street114 m
- retail: Money Mart115 m
- highway: Yonge Street116 m
- highway: Yonge Street125 m
- highway: Yonge Street129 m
- parking lot130 m
- highway: Yonge Street144 m
- restaurant: Yin Ji Chang Fen145 m
- parking lot149 m
- retail: Cash 4 You153 m
- transit stop: Yonge Street at Avondale Avenue North Side154 m
- retail: TD Insurance Auto Centre154 m
- parking lot160 m
- restaurant: Spicy & Delicious161 m
- highway: Yonge Street162 m
- retail: Salon Fifth Image164 m
- restaurant: 4AM Bar & Lounge164 m
- highway: Yonge Street165 m
- restaurant: 7 Noodles166 m
- retail: Hollywood Spa166 m
- retail: North York's Premium Dry Cleaners168 m
- restaurant: Pho OK168 m
- highway: Yonge Street168 m
- parking lot169 m
- highway: Yonge Street171 m
- transit stop: Yonge Street at Florence Avenue175 m
- parking lot176 m
- retail: Fogtown Flower177 m
- transit stop178 m
- parking lot178 m
- transit stop: Yonge Street @ Glendora Avenue182 m
- retail: Esther Oasis Day Spa186 m
- highway: Yonge Street189 m
- cafe: Tim Hortons189 m
- parking lot190 m
- parking lot191 m
- restaurant: Eggsmart195 m
- retail: Circle K197 m
- highway: Yonge Street200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality94th
- Edge activation75th
- Connectivity97th
- Amenity diversity70th
- Natural comfort77th
- Enclosure91th
Most similar parks
Closest in metric space across the five structural dimensions.
- Beecroft Linear ParkCorridor / Linear Park54
- Logan Avenue ParketteUrban Plaza47
- Bishop ParkUrban Plaza46
- James Trimbee ParkUrban Plaza47
- Alexander Muir Memorial GardensCivic Square37
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Rouge ParkRavine / Naturalized Park21
- Rouge ParkRavine / Naturalized Park18
- Trca Lands ( 58)Ravine / Naturalized Park18
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park26
- Trca Lands ( 26)Ravine / Naturalized Park27
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.
“Modest, tree-lined park featuring a playground, walking paths & grassy open spaces.” (Google editorial summary)
p90 citywide · p98 within Parkette
Source: Google Places API · match high (1.00 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
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 Avondale 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.
- 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.
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.