Paul Garfinkel Parkette
Urban Plaza, one of the city's strongest overall (score 54, rank ~98th percentile). Strongest: enclosure; weakest: natural comfort.
Photo by AJ via Google Places · cached 5/9/2026
Paul Garfinkel Parkette scores 54.1 / 100. Strongest dimensions: enclosure / eyes on park and edge activation. Weakest: amenity diversity (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.15 ha
Weighted across six dimensions · confidence 57%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Street context
Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
Top-down view
City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above.
City of Toronto Orthophoto · cot_ortho most-current MapServer
Explain this score
Where did the 54 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
- Strong physical conditions (score 54) but weak observed activity signals (9) — the model says this should work, but events, mentions, and counters say it isn't being used at the level the urban form would predict.
Performance in context
- This park is a strong overperformer for its cohort — raw 54 versus an expected 36 for similar parks (pocket Urban Plaza) (gap +18).
Typology classification
Classified as Urban Plaza: 1493 m², paved (0% canopy), 47.2 buildings/100 m
Edge Activation
Within 100 m of the park edge: 28 active uses (restaurant, retail, transit_stop, cafe) 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: OSM POIs (amenity/shop) + Toronto Building Footprints + land use
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 16 sidewalk segments within 50 m; 10 street intersections within 100 m; 17 transit stops within a 400 m walk; 0 estimated access points across ~155 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
No amenities recorded — score is 0 until inventory is loaded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: ~4.2% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~1481 m; 6 city-mapped trees inside the polygon (6.0/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
Enclosure / Eyes on Park
73 buildings within 25 m of the park edge (30 mid-rise, 43 low-rise, 0 tower); avg edge height 11.2 m (~4 floors); 47.2 buildings per 100 m of 155 m perimeter — strong frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 30 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. 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 (0)
No amenities recorded for this park.
Nearby active-edge features (61)
- retail — Eye Wonder2 m
- retail — Quasi Modo11 m
- retail — Average16 m
- retail — Aeya Studios21 m
- restaurant — Butter Chicken Roti23 m
- retail — Royal23 m
- retail — Hopeless Romantic23 m
- restaurant — Bar Fancy23 m
- retail — Rec + Art History23 m
- restaurant — Bar Piquette28 m
- restaurant — Jamil's Chaat House31 m
- retail — Dynasty34 m
- transit stop — Dovercourt Road34 m
- retail37 m
- parking lot44 m
- restaurant — Church46 m
- retail — Mario's Garage47 m
- cafe — Out Of This World Café53 m
- retail — Axes Smoke60 m
- retail — Cambie64 m
- transit stop — Dovercourt Road66 m
- retail — Garb68 m
- retail69 m
- retail — Poppies75 m
- restaurant — Good Son83 m
- retail — Queen of Bud86 m
- restaurant — Entice90 m
- restaurant — The Dog & Bear Pub95 m
- restaurant — Wallen98 m
- parking lot101 m
- retail — Craft Ontario106 m
- parking lot113 m
- restaurant — Poutini’s House of Poutine120 m
- retail — Birds of North America124 m
- restaurant — Queen Star Restaurant129 m
- retail — Cozey131 m
- restaurant — Fat Bastard Burrito133 m
- restaurant — The Burger's Priest137 m
- cafe — Cafe Neon139 m
- parking lot140 m
- restaurant — Hello 123144 m
- retail — Six Vapes145 m
- retail — Planet of Sound150 m
- retail — Wine Rack155 m
- cafe — Tim Hortons157 m
- restaurant — Pizza Pizza168 m
- retail — Gravitypope173 m
- parking lot176 m
- restaurant176 m
- parking lot180 m
- transit stop — Ossington Avenue180 m
- retail182 m
- retail — Vape Palace187 m
- restaurant — Levetto187 m
- restaurant — Subway188 m
- parking lot192 m
- retail — Convenience Canada192 m
- retail — Glad Day193 m
- retail — Parlour196 m
- transit stop — Abell Street197 m
- transit stop — Queen Street West199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality98th
- Edge activation99th
- Connectivity71th
- Amenity diversity36th
- Natural comfort26th
- Enclosure100th
Most similar parks
Closest in metric space across the five structural dimensions.
- Bernard Avenue Road AllowanceUrban Plaza54
- Grace - College ParketteCorridor / Linear Park59
- Montclair Avenue ParketteUrban Plaza50
- Lakeview Avenue ParketteUrban Plaza52
- Shaw St Traffic Median SouthCorridor / Linear Park52
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park26
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.
p42 citywide · p30 within Urban Plaza
Source: Google Places API · match unverified (0.00 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
Human activity signals
Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.
Activity reading: no inputs available. The strongest signal is public attention / mentions. Source coverage: google-places.
Does this score feel accurate?
Your read of Paul Garfinkel Parkettematters. 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.
- 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.