
Howard Talbot Park
Neighbourhood Park, middle of the pack overall (score 37, rank ~59th percentile). Strongest: amenity diversity; weakest: edge activation.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Howard Talbot Park scores 36.6 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 4.94 ha
What's here
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 37 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
Howard Talbot Park works because its amenity diversity score (50) is one of the city's strongest and its connectivity (66) is also top quartile (8 distinct amenity types support different kinds of use).
What limits this park
Howard Talbot Park is held back by edge activation (0, below-average): the surrounding streets carry too few active uses to spill into the park; border-vacuum risk is also elevated (100).
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (50, top decile).
Jacobs reading
Howard Talbot Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- Connectivity (66) significantly outpaces natural comfort (40): well placed in the city but offers little shade or ecological respite.
- The park is enclosed by buildings (74) but the surrounding streets are quiet (edge activation 0): frame without animation.
- High connectivity coexists with high border-vacuum risk (100): much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
Performance in context
- Citywide rank is high (59th) but typology rank is more modest (36th): the strength likely comes from the dataset average pulling lower than this typology’s baseline.
Typology classification
Classified as Neighbourhood Park: 4.9 ha, framed by 15 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 12 active uses (retail, transit_stop, cafe) and 10 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 7 mapped paths/walkways and 22 sidewalk segments within 50 m; 11 street intersections within 100 m; 21 transit stops within a 400 m walk; 5 estimated access points across ~1,364 m of perimeter. moderate edge density, small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
8 distinct amenity types in the park (playground, sports_field, tennis, washroom, bench, bowling_green, …). 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: 3.9% estimated tree canopy; nearest waterbody ~947 m; 6 city-mapped trees inside the polygon (1.2/ha). Reading: exposed. Source coverage: treed_area, 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
202 buildings within 25 m of the park edge (15 mid-rise, 187 low-rise, 0 tower); avg edge height 7.0 m (~2 floors); 14.8 buildings per 100 m of 1,364 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 15 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, parking_lot, Eglinton Avenue East, Eglinton Avenue East, Eglinton Avenue East, Eglinton Avenue East, Eglinton Avenue East, Eglinton Avenue East, Eglinton Avenue East. 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 (8 types · 16 records)
- playground
- sports field
- tennis
- washroom
- bench
- bowling green
- shelter
- track
Nearby active-edge features (47)
- transit stop: Bayview Avenue0 m
- parking lot0 m
- highway: Eglinton Avenue East10 m
- highway: Eglinton Avenue East10 m
- highway: Eglinton Avenue East10 m
- transit stop: Leaside17 m
- highway: Eglinton Avenue East20 m
- transit stop: Leaside23 m
- highway: Eglinton Avenue East24 m
- parking lot27 m
- transit stop: Bayview Avenue33 m
- highway: Eglinton Avenue East43 m
- highway: Eglinton Avenue East45 m
- transit stop: Donlea Drive45 m
- transit stop: Leaside47 m
- transit stop: Leaside48 m
- transit stop: Leaside68 m
- retail: EcoPure Cleaners68 m
- retail: Herbal Magic Weight Loss & Nutrition Centres69 m
- highway: Eglinton Avenue East73 m
- cafe: Tim Hortons73 m
- retail: Collage Designs91 m
- transit stop: Parkhurst Boulevard108 m
- transit stop: Hanna Road108 m
- highway: Eglinton Avenue East118 m
- transit stop: Soudan Avenue119 m
- highway: Eglinton Avenue East122 m
- highway: Eglinton Avenue East125 m
- parking lot128 m
- parking lot130 m
- parking lot133 m
- transit stop: Hanna Road137 m
- retail: Parkers Custom Cleaning Care138 m
- parking lot147 m
- parking lot155 m
- retail: Natalie Nails157 m
- retail: Leaside Vape Shop161 m
- retail: Relevé166 m
- transit stop: Rumsey Road170 m
- highway: Eglinton Avenue East171 m
- retail: No Frills173 m
- restaurant173 m
- retail: Alice’s Art Studio174 m
- retail: Canna Cabana180 m
- retail: Vision Eyecare Centre187 m
- retail: Royal Wellness Spa193 m
- retail: Look Hair Studio199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality59th
- Edge activation32th
- Connectivity87th
- Amenity diversity97th
- Natural comfort35th
- Enclosure77th
Most similar parks
Closest in metric space across the five structural dimensions.
- Stephenson ParkNeighbourhood Park45
- Park Lawn ParkAthletic / Recreation Park41
- Leaside ParkNeighbourhood Park38
- ANTIBES COMMUNITY CENTRE - Building GroundsAthletic / Recreation Park42
- Malvern ParkAthletic / Recreation Park37
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
- Mclevin Woods ParkRavine / Naturalized Park49
- Arnell PlazaCivic Square50
- Rouge ParkRavine / Naturalized Park28
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 Howard Talbot 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. 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.