
Tall Pines Park
Athletic / Recreation Park, above average overall (score 43, rank ~80th percentile). Strongest: amenity diversity; weakest: edge activation.
Photo by Kazi Sabbir Ibna Ataur via Google Places · cached 5/9/2026
Data updated
Tall Pines Park scores 42.7 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0.7). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 1.22 ha
What's here
Getting around
211 m of mapped path. Too little surface tagging to say how much is paved.
No steps mapped on the path network.
No seating mapped in OpenStreetMap.
Parking inside the park. None of the 18 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 43 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
Tall Pines Park works because its amenity diversity score (35) is in the top tier and its connectivity (63) is also top quartile.
What limits this park
.
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (35, top quartile).
Jacobs reading
Tall Pines 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 (75) but the surrounding streets are quiet (edge activation 1): frame without animation.
Performance in context
- A modest overperformer for its athletic / recreation park typology (+6 vs the median in medium Athletic / Recreation Park).
Typology classification
Classified as Athletic / Recreation Park: 50% of amenity types are athletic (basketball, tennis). Secondary read: Neighbourhood Park (1.2 ha, framed by 10 mid-rise vs 0 towers).
Edge Activation
Within 100 m of the park edge: 11 active uses (retail, restaurant, transit_stop) and 8 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: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 17 mapped paths/walkways and 16 sidewalk segments within 50 m; 6 street intersections within 100 m; 4 bus stops within a 400 m walk; 4 estimated access points across ~507 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. All data sources.
Amenity Diversity
4 distinct amenity types in the park (basketball, community_centre, playground, tennis). Diversity 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. All data sources.
Natural Comfort
Natural-comfort components for this park: 12.9% estimated tree canopy; nearest waterbody ~568 m; 21 city-mapped trees inside the polygon (17.2/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. All data sources.
Enclosure / Eyes on Park
39 buildings within 25 m of the park edge (10 mid-rise, 29 low-rise, 0 tower); avg edge height 7.3 m (~2 floors); 7.7 buildings per 100 m of 507 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 10 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights). All data sources.
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: 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: OpenStreetMap: highways, rail, parking. All data sources.
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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.
Amenities (4 types · 8 records)
- basketball
- community centre
- playground
- tennis
Nearby active-edge features (57)
- parking lot0 m
- parking lot12 m
- retail: Optical 20/2050 m
- retail: Freedom Mobile51 m
- retail: QS Nails Salon52 m
- parking lot59 m
- restaurant: Popeyes69 m
- transit stop: Rylander Boulevard at Kingston Road76 m
- retail: Spyder Vapes76 m
- parking lot79 m
- parking lot80 m
- retail: Images Salon80 m
- parking lot81 m
- retail: The Hearing Clinic83 m
- parking lot83 m
- restaurant: Eggsmart89 m
- retail: Dollarama91 m
- parking lot92 m
- restaurant: Subway94 m
- retail: Sherwin-Williams102 m
- parking lot104 m
- parking lot108 m
- parking lot113 m
- restaurant: Mucho Burrito113 m
- retail: Classic Fireplace and BBQ Store114 m
- restaurant: Port Union Seafood115 m
- parking lot116 m
- cafe: Starbucks117 m
- restaurant: Wimpy's Diner118 m
- parking lot128 m
- retail: Pet Valu133 m
- retail: Expedia CruiseShipCentres136 m
- retail: A Touch of Beauty Hair Salon137 m
- retail: Transformational Barbers137 m
- retail: Aztec Tanning138 m
- retail: Cheerful Dry Cleaners & Alteration141 m
- retail: Hair Wave141 m
- retail: Emerald Cleaners142 m
- retail: Lamana's Italian Bakery146 m
- retail: Luv Dem Nails147 m
- retail: Rogers150 m
- highway: Kingston Road151 m
- highway: Kingston Road151 m
- highway: Kingston Road158 m
- parking lot160 m
- parking lot: DriveTest road test parking only162 m
- highway: Kingston Road163 m
- highway: Kingston Road164 m
- retail: sunshine variety165 m
- highway: Kingston Road165 m
- parking lot168 m
- retail: TNS Health Store180 m
- highway: Kingston Road183 m
- highway: Kingston Road186 m
- parking lot194 m
- parking lot196 m
- transit stop: Atrium Lane199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality80th
- Edge activation62th
- Connectivity81th
- Amenity diversity87th
- Natural comfort68th
- Enclosure78th
Most similar parks
Closest in metric space across the five structural dimensions.
- Warner ParkParkette39
- Lambton ParkRavine / Naturalized Park36
- Stadium Road ParkCorridor / Linear Park43
- Joshua Cronkwright ParketteCorridor / Linear Park41
- Mondeo ParkParkette44
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Arnell PlazaCivic Square50
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Trca Lands ( 26)Ravine / Naturalized Park27
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park26
- Mclevin Woods ParkRavine / Naturalized Park49
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.
p16 citywide · p13 within Athletic / Recreation Park
Source: Google Places API · match medium (0.62 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 Tall Pines 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.
Data sources
- City of Toronto Open Data: Green SpacesPolygon boundaries, official names, land classes. 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.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.