
Close Avenue Parkette
Urban Plaza, above average overall (score 45, rank ~84th percentile). Strongest: enclosure; weakest: natural comfort.
Photo by Femke Kuipers via Google Places · cached 5/9/2026
Data updated
Close Avenue Parkette scores 44.5 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (21). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.21 ha
What's here
Getting around
No walking paths mapped in OpenStreetMap.
Not enough mapped seating to assess (7 benches mapped).
Nearest parking 80 m away. 1 of 15 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 66%
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 45 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
Close Avenue Parkette works because its enclosure score (94) is one of the city's strongest and its edge activation (24) is also top quartile (18 mid-rise buildings frame the edge with passive surveillance).
What limits this park
Close Avenue Parkette is held back by natural comfort (37, below-average): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (94, top decile).
Jacobs reading
Close Avenue Parkette 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 (94) but the surrounding streets are quiet (edge activation 24): frame without animation.
Performance in context
- A modest overperformer for its urban plaza typology (+7 vs the median in pocket Urban Plaza).
Typology classification
Classified as Urban Plaza: 2121 m², paved (0% canopy), 18.6 buildings/100 m
Edge Activation
Within 100 m of the park edge: 4 active uses (retail, transit_stop) and 2 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 0 mapped paths/walkways and 10 sidewalk segments within 50 m; 2 street intersections within 100 m; 6 streetcar or LRT stops, 1 bus stop within a 400 m walk; 0 estimated access points across ~183 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: ~2.8% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~510 m; 4 city-mapped trees inside the polygon (4.0/ha). Reading: exposed. 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
34 buildings within 25 m of the park edge (18 mid-rise, 16 low-rise, 0 tower); avg edge height 11.2 m (~4 floors); 18.6 buildings per 100 m of 183 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 (2 types · 10 records)
- playground
- bench
Nearby active-edge features (26)
- transit stop: Jameson Avenue45 m
- transit stop: Jameson Avenue71 m
- retail: Central Market77 m
- parking lot80 m
- parking lot83 m
- retail: Super Variety91 m
- retail: Dollarama104 m
- parking lot104 m
- transit stop: Dunn Avenue112 m
- parking lot112 m
- parking lot122 m
- retail: No Frills124 m
- parking lot129 m
- transit stop: Dunn Avenue140 m
- parking lot141 m
- retail142 m
- parking lot145 m
- parking lot151 m
- retail: Monster Wash154 m
- restaurant: The Originals Dining Lounge155 m
- parking lot156 m
- parking lot159 m
- parking lot163 m
- parking lot177 m
- parking lot180 m
- parking lot185 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality84th
- Edge activation79th
- Connectivity53th
- Amenity diversity68th
- Natural comfort29th
- Enclosure98th
Most similar parks
Closest in metric space across the five structural dimensions.
- Hillsdale Avenue ParkUrban Plaza44
- Mount Pleasant ParketteUrban Plaza45
- Melbourne Avenue ParketteUrban Plaza44
- HIGH PARK PUBLIC LIBRARY - Building GroundsUrban Plaza35
- George Milbrandt ParketteUrban Plaza34
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkRavine / Naturalized Park28
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park26
- Rouge ParkRavine / Naturalized Park26
- Rouge ParkRavine / Naturalized Park21
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.
p45 citywide · p37 within Urban Plaza
Source: Google Places API · match high (0.97 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 Close Avenue Parkette 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.
- Add or open more entrances and improve sidewalk continuity around the park. More permeability means more spontaneous use.
- 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.