Hubbard Park
Parkette, one of the city's strongest overall (score 50, rank ~95th percentile). Strongest: connectivity; weakest: amenity diversity.
Photo by Lipika Saha via Google Places · cached 5/9/2026
Hubbard Park scores 49.9 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is elevated (36). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.89 ha
Weighted across six dimensions · confidence 59%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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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
Hubbard Park works because its connectivity score (82) is one of the city's strongest and its edge activation (49) is also top decile (31 transit stops sit within a 400 m walk; 22 intersections fall within 100 m of the edge).
What limits this park
Hubbard Park is held back by amenity diversity (0, below-average); border-vacuum risk is also elevated (36).
Most distinctive characteristic
Most distinctive feature: exceptionally high connectivity (82, top decile).
Jacobs reading
Hubbard Park is a dense urban social park. Jacobs would recognise it: lots of eyes, lots of streets, lots of edge life; not where you go to escape.
Tradeoffs
- Connectivity (82) significantly outpaces natural comfort (43): well placed in the city but offers little shade or ecological respite.
Performance in context
- This park is a strong overperformer for its cohort: raw 50 versus an expected 36 for similar parks (small Parkette) (gap +14).
Typology classification
Classified as Parkette: small (8882 m²) with strong building frontage (13.7 per 100 m)
Edge Activation
Within 100 m of the park edge: 48 active uses (transit_stop, retail, restaurant, cafe) and 5 dead/hostile uses (parking_lot, highway). 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 19 mapped paths/walkways and 35 sidewalk segments within 50 m; 22 street intersections within 100 m; 31 transit stops within a 400 m walk; 11 estimated access points across ~513 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: ~5.6% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 1.6% inside the ravine system; nearest waterbody ~189 m; 8 city-mapped trees inside the polygon (8.0/ha). Reading: water-cooled. Source coverage: ravine, 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
70 buildings within 25 m of the park edge (23 mid-rise, 47 low-rise, 0 tower); avg edge height 8.9 m (~3 floors); 13.7 buildings per 100 m of 513 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 23 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Gerrard, 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: 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 (80)
- transit stop: Gerrard Street East1 m
- transit stop: St. Matthews Road2 m
- transit stop: St. Matthews Road7 m
- transit stop: Gerrard Street East8 m
- transit stop: Broadview Avenue11 m
- transit stop: St. Matthews Road15 m
- transit stop: Broadview Avenue17 m
- transit stop: Gerrard Street East17 m
- restaurant: Chicken Plus22 m
- restaurant: Boba Boy24 m
- parking lot28 m
- retail31 m
- transit stop: Broadview Avenue33 m
- transit stop: Blackburn Street35 m
- retail35 m
- restaurant: A&W40 m
- transit stop: Gerrard Street East41 m
- transit stop: Blackburn Street42 m
- parking lot: Gerrard42 m
- restaurant: Vital-Life Vegan Rastarant44 m
- restaurant: Apollo48 m
- cafe: Issho Bakery49 m
- parking lot50 m
- restaurant: O'Somae50 m
- retail: The Frame Maker II52 m
- retail: Dong Ming Hong Trading53 m
- restaurant: hanoi 3 seasons54 m
- restaurant: Oji Seichi54 m
- retail: One Plus One Hair Salon57 m
- retail: Wong’s Aquarium57 m
- transit stop: Jack Layton Way, Bridgepoint Health59 m
- retail: Charlotte Nail Spa59 m
- transit stop: Jack Layton Way, Bridgepoint Health60 m
- retail: Tung Hing Bakery60 m
- retail: Cafe Despensary63 m
- restaurant: Supreme Taste68 m
- highway: Don Valley Parkway68 m
- retail: Galaxy Fresh Foods70 m
- restaurant: Sushi Bar71 m
- restaurant: Wok & Roast Chinese BBq77 m
- retail: Sonnam Computer80 m
- retail: Yong Xing Fruits & Vegatables81 m
- retail: Jiahua Trading Company82 m
- parking lot84 m
- restaurant: Farside84 m
- retail: Feng Rong Spa84 m
- retail: Galaxy Salon87 m
- retail89 m
- retail: ONYX Chocolates91 m
- retail: Second Journey Thrift92 m
- retail94 m
- retail: Easy Living Depot96 m
- retail: bikeSauce99 m
- retail: Shisha King Toronto104 m
- retail104 m
- restaurant: Completo109 m
- restaurant: Saigon Pai109 m
- retail: Dragon Hobby114 m
- parking lot116 m
- retail: Wonder Spa117 m
- retail: Good Cheese119 m
- restaurant: New Restaurant122 m
- retail: New Bakery126 m
- retail: High Hand130 m
- retail: Golden Shrine Trading130 m
- restaurant: Dumpling House134 m
- retail: Wagu Vape138 m
- retail: Hair Co140 m
- restaurant: Pho House148 m
- retail152 m
- retail: Rainbow Hair Salon155 m
- retail157 m
- retail: 338 Vegetable & Food161 m
- restaurant: Dine and Dim167 m
- restaurant: Tenjim Yokocho: Karaoke & Bar169 m
- retail: Daily Salon173 m
- transit stop: Mount Stephen Street173 m
- retail: Gerrard Street Bakery174 m
- retail: Chen's Acupuncture & Herbs179 m
- transit stop: Langley Avenue, Bridgepoint Health Centre181 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality95th
- Edge activation96th
- Connectivity99th
- Amenity diversity32th
- Natural comfort44th
- Enclosure91th
Most similar parks
Closest in metric space across the five structural dimensions.
- Cathedral Church Of St. JamesParkette47
- Robertson ParketteUrban Plaza42
- St. Patricks SquareCivic Square55
- Parliament Square ParkCivic Square52
- Shaw St Traffic Median NorthCorridor / Linear Park48
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.
p17 citywide · p16 within Parkette
Source: Google Places API · match high (0.93 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 Hubbard 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.
- 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.
- Mitigate border vacuums (highways, rail, parking) with active programming on the still-permeable edges and treat the hostile edge as a design challenge.
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.