Frank Stollery Parkette
Urban Plaza, middle of the pack overall (score 37, rank ~59th percentile). Strongest: enclosure; weakest: natural comfort.
No photograph yet. If you have one of Frank Stollery Parkette, we would like to use it.
Submit a photoAerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Data updated
Frank Stollery Parkette scores 36.8 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (11.9). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.05 ha
What's here
Getting around
45 m of mapped path. Too little surface tagging to say how much is paved.
Too little path mapped to check for steps.
Typically 4 m to the nearest bench, and 14 m at the far end.
Nearest parking 20 m away. None of the 6 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 66%
Data confidence: moderate
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.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
Frank Stollery Parkette works because its enclosure score (83) is in the top tier and its connectivity (68) is also top quartile (38 mid-rise buildings frame the edge with passive surveillance).
What limits this park
Frank Stollery Parkette's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional), risk score 100.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (83, top quartile).
Jacobs reading
Frank Stollery Parkette sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- Connectivity (68) significantly outpaces natural comfort (40): well placed in the city but offers little shade or ecological respite.
- 31 nearby towers cast wind and shadow without contributing canopy: passive surveillance is plentiful but human-scale comfort is not.
- 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 (39th): the strength likely comes from the dataset average pulling lower than this typology’s baseline.
Typology classification
Classified as Urban Plaza: 457 m², paved (0% canopy), 99.3 buildings/100 m
Edge Activation
Within 100 m of the park edge: 28 active uses (transit_stop, retail, restaurant, cafe) and 7 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: 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 0 mapped paths/walkways and 17 sidewalk segments within 50 m; 10 street intersections within 100 m; 3 subway or GO stations, 10 bus stops within a 400 m walk; 1 estimated access points across ~102 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
1 distinct amenity types in the park (bench). 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: ~7.0% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~1074 m; 10 city-mapped trees inside the polygon (10.0/ha). Reading: exposed. Source coverage: 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
101 buildings within 25 m of the park edge (38 mid-rise, 32 low-rise, 31 tower); avg edge height 30.1 m (~10 floors); 99.3 buildings per 100 m of 102 m perimeter (strong frontage density); edges lean tall but still framed; 31 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 38 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: Yonge Street, parking_lot, Yonge Street, Yonge Street. 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 (1 types · 8 records)
- bench
Nearby active-edge features (73)
- transit stop3 m
- restaurant: Caffe Di Portici10 m
- retail: Big Bee16 m
- highway: Yonge Street17 m
- retail: The Vaper Store18 m
- cafe: Café Rosarium18 m
- transit stop: Davenport Road18 m
- parking lot20 m
- restaurant: Randy’s Roti & Doubles21 m
- restaurant: Fat Lamb Kouzina Homemade Greek Food27 m
- transit stop: Church Street33 m
- highway: Yonge Street33 m
- highway: Yonge Street33 m
- retail: Beauté d’Amour Nails Studio40 m
- retail: Mille Luce Designs Inc.49 m
- retail: Party City54 m
- retail: The Noble Society54 m
- retail: Royal Dry Cleaners55 m
- restaurant: BiBab Express Sushi & Rolls58 m
- restaurant: Lee Chen Asian Bistro59 m
- retail: Solo Bace59 m
- retail: Canadian Tire61 m
- restaurant: Burrito Boyz62 m
- retail: Topcuts64 m
- retail: Weedjar65 m
- highway: Yonge Street68 m
- restaurant: Mamma's Pizza70 m
- retail: Petit Pied Kids71 m
- cafe: Tim Hortons78 m
- restaurant: Kiro Sushi80 m
- restaurant: Crown & Dragon Restaurant81 m
- restaurant: Yorkville Crepes81 m
- retail: BUCA91 m
- highway: Yonge Street93 m
- parking lot94 m
- retail: Vivid Cleaners & Alterations100 m
- restaurant: Greenhouse106 m
- retail: Infinity Mart106 m
- retail108 m
- retail: Skin Vitality110 m
- retail: Dr. Bernstein Diet & Health Clinics111 m
- school: The Dalton School114 m
- parking lot122 m
- parking lot130 m
- retail: TCAF Shop131 m
- cafe: Coffee Balzac's Roasters137 m
- transit stop142 m
- retail: Canadian Tire Auto Service144 m
- retail149 m
- retail: European Flooring150 m
- restaurant: d|bar168 m
- highway: Yonge Street168 m
- transit stop: Davenport Road170 m
- cafe: Coffee Lunar174 m
- restaurant: Kathmandu Restaurant175 m
- restaurant: Happy Burger178 m
- retail181 m
- retail: Cumberland Cannabis182 m
- retail: Tire Biter182 m
- parking lot182 m
- restaurant: The Pilot185 m
- retail: Otto185 m
- rail186 m
- rail186 m
- retail: Civello187 m
- restaurant: El Gourmet189 m
- restaurant: Subway189 m
- retail: Beloved Tan192 m
- retail: Piquadro192 m
- restaurant: Tao Tea Leaf194 m
- parking lot195 m
- highway: Yonge Street196 m
- retail: Expedia Cruises199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality59th
- Edge activation85th
- Connectivity88th
- Amenity diversity57th
- Natural comfort36th
- Enclosure88th
Most similar parks
Closest in metric space across the five structural dimensions.
- Stanley G. Grizzle ParkUrban Plaza47
- Winchester Square ParkCivic Square44
- Robert Bateman ParketteRavine / Naturalized Park48
- West Birkdale ParkUrban Plaza43
- North York Hydro Green SpaceNeighbourhood Park41
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 Park26
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park26
- Rouge ParkRavine / Naturalized Park21
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 Frank Stollery Parkette 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.
- 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: 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.