Asquith Green Park
Urban Plaza, one of the city's strongest overall (score 55, rank ~98th percentile). Strongest: edge activation; weakest: natural comfort.
Photo by ExEng via Google Places · cached 5/9/2026
Asquith Green Park scores 55.4 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. 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 · 0.09 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 55 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 (77) significantly outpaces natural comfort (33) — well placed in the city but offers little shade or ecological respite.
- 21 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
- Strong physical conditions (score 55) but weak observed activity signals (11) — 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.
- High connectivity (77) coexists with little programming evidence — easy to reach, but no recurring civic life detected.
Performance in context
- This park is a strong overperformer for its cohort — raw 55 versus an expected 36 for similar parks (pocket Urban Plaza) (gap +19).
Typology classification
Classified as Urban Plaza: 900 m², paved (0% canopy), 44.8 buildings/100 m
Edge Activation
Within 100 m of the park edge: 19 active uses (restaurant, retail, 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 7 mapped paths/walkways and 27 sidewalk segments within 50 m; 14 street intersections within 100 m; 22 transit stops within a 400 m walk; 4 estimated access points across ~141 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: 0.0% estimated tree canopy; nearest waterbody ~964 m; 1 city-mapped trees inside the polygon (1.0/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
63 buildings within 25 m of the park edge (27 mid-rise, 15 low-rise, 21 tower); avg edge height 31.0 m (~10 floors); 44.8 buildings per 100 m of 141 m perimeter — strong frontage density; edges lean tall but still framed; 21 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 27 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Park edges face the city — no significant border vacuum detected.
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 (68)
- retail — Rabba20 m
- restaurant — Villa Madina47 m
- restaurant — Thaï Express48 m
- restaurant — A&W54 m
- restaurant — Pizza Hut Express55 m
- restaurant — Subway59 m
- restaurant — Manchu Wok61 m
- retail70 m
- restaurant — Booster Juice72 m
- cafe — Tim Hortons76 m
- restaurant — The Bagel Stop76 m
- retail — INS Market77 m
- restaurant — Salad Days79 m
- restaurant — La Prep80 m
- restaurant — Sunset Grill90 m
- parking lot92 m
- restaurant — Mad Radish93 m
- restaurant — Yuzuki93 m
- cafe — Le Gourmand Café96 m
- retail — Longo's99 m
- restaurant — El Gourmet100 m
- cafe — Starbucks101 m
- rail108 m
- rail108 m
- retail — Dollarama110 m
- retail — The Printing House111 m
- highway — Bloor Street East112 m
- highway — Bloor Street East112 m
- retail — Print Pros114 m
- highway — Bloor Street East115 m
- parking lot117 m
- highway — Bloor Street East119 m
- restaurant — PI CO.120 m
- transit stop — Bloor St East Entrance126 m
- retail — LCBO129 m
- restaurant — Chipotle130 m
- highway — Bloor Street East130 m
- retail — Fido132 m
- retail — MN Nail Salon137 m
- cafe — Presse Café142 m
- highway — Bloor Street East145 m
- retail — Stylessence Fine Jewellery147 m
- highway — Bloor Street East155 m
- parking lot155 m
- cafe — Tim Hortons157 m
- transit stop — Bloor-Yonge159 m
- transit stop — Bloor-Yonge162 m
- retail — Nutrition House164 m
- highway — Bloor Street East166 m
- restaurant — Sushi Shop167 m
- transit stop — Bloor-Yonge171 m
- retail — INS Market172 m
- retail — The Eye Exam Place173 m
- restaurant — Freshii176 m
- transit stop — Bloor-Yonge177 m
- cafe — Hale Coffee178 m
- retail — LensCrafters178 m
- highway — Bloor Street East179 m
- retail — Salon Riccardo179 m
- restaurant — Cate Landwer182 m
- transit stop — 20 Bloor Street Entrance183 m
- cafe — Crema Coffee Co.184 m
- transit stop — 33 Bloor Street Entrance185 m
- restaurant — Tahini's186 m
- retail — Tucci186 m
- retail — Vivid Cleaners & Alterations187 m
- retail — Obsessions197 m
- highway — Bloor Street East199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality98th
- Edge activation99th
- Connectivity97th
- Amenity diversity51th
- Natural comfort16th
- Enclosure84th
Most similar parks
Closest in metric space across the five structural dimensions.
- Norman Jewison ParkUrban Plaza57
- Massey Harris ParkUrban Plaza57
- OLD CITY HALL - Building GroundsCivic Square53
- James Canning GardensUrban Plaza58
- Trinity SquareCivic Square55
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
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.
p44 citywide · p32 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: pedestrian intensity 22/100; cycling/trail 36.7/100. The strongest signal is observed pedestrian/cycling activity. Source coverage: counters, google-places.
Does this score feel accurate?
Your read of Asquith Green Parkmatters. 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.