Hubbard Park
Parkette, one of the city's strongest overall (score 57, rank ~98th percentile). Strongest: connectivity; weakest: natural comfort.
Photo by Lipika Saha via Google Places · cached 5/9/2026
Hubbard Park scores 56.9 / 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 · 0.80 ha
What's here
Weighted across six dimensions · confidence 68%
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 57 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 (79) is one of the city's strongest and its edge activation (53) is also top decile (30 transit stops sit within a 400 m walk; 20 intersections fall within 100 m of the edge).
What limits this park
.
Most distinctive characteristic
Most distinctive feature: exceptionally high connectivity (79, top decile).
Jacobs reading
Hubbard Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- Connectivity (79) significantly outpaces natural comfort (47): 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 57 versus an expected 37 for similar parks (small Parkette) (gap +20).
Typology classification
Classified as Parkette: small (7960 m²) with strong building frontage (11.1 per 100 m)
Edge Activation
Within 100 m of the park edge: 35 active uses (transit_stop, restaurant, retail, cafe) and 4 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 26 sidewalk segments within 50 m; 20 street intersections within 100 m; 30 transit stops within a 400 m walk; 7 estimated access points across ~433 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
2 distinct amenity types in the park (bench, garden). Diversity, not raw count, 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
Natural Comfort
Natural-comfort components for this park: ~3.5% effective canopy (0.0% from contiguous tree polygons + scattered tree density); 12.5% inside the ravine system; nearest waterbody ~161 m; 5 city-mapped trees inside the polygon (5.0/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
48 buildings within 25 m of the park edge (15 mid-rise, 33 low-rise, 0 tower); avg edge height 9.0 m (~3 floors); 11.1 buildings per 100 m of 433 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 15 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. 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 (2 types · 16 records)
- bench
- garden
Nearby active-edge features (77)
- transit stop: St. Matthews Road3 m
- transit stop: St. Matthews Road8 m
- transit stop: St. Matthews Road12 m
- transit stop: Gerrard Street East15 m
- transit stop: Broadview Avenue24 m
- parking lot28 m
- transit stop: Blackburn Street33 m
- restaurant: Chicken Plus40 m
- transit stop: Blackburn Street41 m
- restaurant: Boba Boy42 m
- transit stop: Gerrard Street East44 m
- parking lot: Gerrard44 m
- retail48 m
- transit stop: Gerrard Street East51 m
- retail51 m
- parking lot53 m
- restaurant: Vital-Life Vegan Rastarant58 m
- transit stop: Broadview Avenue58 m
- restaurant: Apollo61 m
- transit stop: Gerrard Street East65 m
- restaurant: Oji Seichi66 m
- highway: Don Valley Parkway66 m
- restaurant: A&W71 m
- transit stop: Broadview Avenue71 m
- retail: Cafe Despensary73 m
- restaurant: O'Somae76 m
- restaurant: Sushi Bar78 m
- retail: Dong Ming Hong Trading78 m
- retail: One Plus One Hair Salon80 m
- retail: Tung Hing Bakery82 m
- transit stop: Jack Layton Way, Bridgepoint Health84 m
- cafe: Issho Bakery85 m
- retail: Yong Xing Fruits & Vegatables88 m
- restaurant: Supreme Taste89 m
- retail: The Frame Maker II89 m
- transit stop: Jack Layton Way, Bridgepoint Health90 m
- restaurant: hanoi 3 seasons95 m
- restaurant: Wok & Roast Chinese BBq96 m
- retail: Wong’s Aquarium98 m
- retail: Charlotte Nail Spa100 m
- retail: Feng Rong Spa101 m
- retail: Easy Living Depot102 m
- retail105 m
- retail: Galaxy Fresh Foods107 m
- retail109 m
- retail110 m
- retail: bikeSauce113 m
- retail: Shisha King Toronto117 m
- parking lot118 m
- retail: Sonnam Computer120 m
- retail: Jiahua Trading Company121 m
- retail: Wonder Spa122 m
- restaurant: Completo123 m
- restaurant: Farside125 m
- retail: Galaxy Salon125 m
- retail: ONYX Chocolates129 m
- retail: Second Journey Thrift133 m
- parking lot138 m
- restaurant: Saigon Pai150 m
- retail: Dragon Hobby155 m
- retail: Rainbow Hair Salon158 m
- retail: Good Cheese160 m
- restaurant: New Restaurant161 m
- retail: New Bakery165 m
- retail: Golden Shrine Trading170 m
- retail: High Hand171 m
- restaurant: Dumpling House174 m
- retail: Wagu Vape178 m
- transit stop: Mount Stephen Street178 m
- retail: Hair Co181 m
- restaurant: Pho House188 m
- retail192 m
- rail: GO Transit - Bala Subdivision194 m
- retail197 m
- transit stop: Mount Stephen Street198 m
- transit stop: Langley Avenue, Bridgepoint Health Centre198 m
- transit stop: Langley Avenue, Bridgepoint Health Centre199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality98th
- Edge activation97th
- Connectivity98th
- Amenity diversity69th
- Natural comfort51th
- Enclosure95th
Most similar parks
Closest in metric space across the five structural dimensions.
- Dundas - St.Clarens ParketteUrban Plaza54
- St. Patricks SquareCivic Square57
- Susan Tibaldi ParketteUrban Plaza46
- Cathedral Church Of St. JamesParkette52
- Anniversary ParkUrban Plaza60
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 Park21
- Rouge ParkRavine / Naturalized Park28
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.
p18 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.
- 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. 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.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.