Stephenson Park
Neighbourhood Park, in the top tier overall (score 45, rank ~86th percentile). Strongest: amenity diversity; weakest: natural comfort.
Photo by n fik via Google Places · cached 5/9/2026
Stephenson Park scores 44.8 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 1.27 ha
What's here
Getting around
88 m of mapped path. Too little surface tagging to say how much is paved.
Too little path mapped to check for steps.
Typically 5 m to the nearest bench, and 7 m at the far end.
Nearest parking 30 m away. None of the 8 nearby lots records whether it has accessible spaces.
Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.
Weighted across six dimensions · confidence 72%
Data confidence: moderate
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 45 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
Stephenson Park works because its amenity diversity score (47) is one of the city's strongest and its connectivity (64) is also top quartile (8 distinct amenity types support different kinds of use).
What limits this park
Stephenson Park doesn't have a clear weakness. Every measured dimension is at or above the middle of the pack.
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (47, top decile).
Jacobs reading
Stephenson Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- The park is enclosed by buildings (74) but the surrounding streets are quiet (edge activation 0): frame without animation.
- Strong physical conditions (score 45) 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
- A modest overperformer for its neighbourhood park typology (+5 vs the median in medium Neighbourhood Park).
Typology classification
Classified as Neighbourhood Park: 1.3 ha, framed by 5 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 0 active uses (none) and 4 dead/hostile uses (parking_lot, rail). 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 5 mapped paths/walkways and 6 sidewalk segments within 50 m; 15 street intersections within 100 m; 28 transit stops within a 400 m walk; 3 estimated access points across ~451 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
8 distinct amenity types in the park (playground, sports_field, tennis, bbq, bench, drinking_water, …). 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: ~6.1% effective canopy (4.4% from contiguous tree polygons + scattered tree density); nearest waterbody ~1012 m; 11 city-mapped trees inside the polygon (8.7/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
92 buildings within 25 m of the park edge (5 mid-rise, 87 low-rise, 0 tower); avg edge height 6.5 m (~2 floors); 20.4 buildings per 100 m of 451 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 5 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" 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 · 17 records)
- playground
- sports field
- tennis
- bbq
- bench
- drinking water
- pool
- table tennis
Nearby active-edge features (51)
- parking lot30 m
- rail: Kingston Subdivision95 m
- rail: Kingston Subdivision95 m
- parking lot98 m
- parking lot103 m
- parking lot116 m
- parking lot116 m
- transit stop: Danforth124 m
- rail: Kingston Subdivision129 m
- retail: Real Bargain130 m
- highway: Danforth Avenue131 m
- highway: Danforth Avenue132 m
- highway: Danforth Avenue133 m
- retail: Danforth Picture Frames136 m
- parking lot138 m
- retail: Danforth Village Quality Fruits & Vegetables138 m
- highway: Danforth Avenue141 m
- transit stop: Danforth146 m
- retail: ASM Wireless147 m
- retail: Beauty One148 m
- retail: Perfume Depot & Cosmetics150 m
- highway: Danforth Avenue150 m
- retail: Selam Furniture & Mattress150 m
- retail: Many Chances Health Spa150 m
- cafe: Press Books Coffee Vinyl151 m
- retail: Budside Cannabis Store151 m
- retail151 m
- retail: NaNa Florist151 m
- retail152 m
- retail: Yonges E-Bikes152 m
- retail: Wellwise152 m
- retail: The Main Spot155 m
- rail: Kingston Subdivision156 m
- retail: Vincenzo Supermarket156 m
- rail: Kingston Subdivision157 m
- rail: Kingston Subdivision158 m
- retail: A to Z Discount158 m
- highway: Danforth Avenue164 m
- retail: Janny Fruit Mart164 m
- highway: Danforth Avenue164 m
- retail: A+ Cut164 m
- retail172 m
- retail: Hakim Optical174 m
- parking lot175 m
- parking lot176 m
- transit stop: Danforth Avenue177 m
- highway: Danforth Avenue186 m
- restaurant: Golden Pizza186 m
- highway: Danforth Avenue191 m
- transit stop: Danforth Avenue193 m
- transit stop: Danforth Avenue194 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality86th
- Edge activation43th
- Connectivity83th
- Amenity diversity96th
- Natural comfort40th
- Enclosure77th
Most similar parks
Closest in metric space across the five structural dimensions.
- Howard Talbot ParkNeighbourhood Park37
- Park Lawn ParkAthletic / Recreation Park41
- ANTIBES COMMUNITY CENTRE - Building GroundsAthletic / Recreation Park42
- Sherwood ParkRavine / Naturalized Park46
- Prince Of Wales ParkNeighbourhood Park43
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Arnell PlazaCivic Square50
- Trca Lands ( 26)Ravine / Naturalized Park27
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Mclevin Woods ParkRavine / Naturalized Park49
- 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.
p75 citywide · p71 within Neighbourhood Park
Source: Google Places API · match high (0.98 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 Stephenson Park matters. 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.
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.