Larry Sefton Park
Civic Square, in the top tier overall (score 44, rank ~85th percentile). Strongest: edge activation; weakest: natural comfort.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Larry Sefton Park scores 44.4 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (11.9). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.12 ha
What's here
Weighted across six dimensions · confidence 65%
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 44 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
Larry Sefton Park works because its edge activation score (41) is in the top tier and its enclosure (70) is also above-average.
What limits this park
Larry Sefton Park is held back by natural comfort (35, bottom quartile): only 0% canopy means little summer shade.
Most distinctive characteristic
Most distinctive feature: exceptionally high edge activation (41, top decile).
Jacobs reading
Larry Sefton Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- 15 nearby towers cast wind and shadow without contributing canopy: passive surveillance is plentiful but human-scale comfort is not.
Performance in context
- A modest overperformer for its civic square typology (+7 vs the median in pocket Civic Square).
- Citywide rank is high (85th) but typology rank is more modest (60th): the strength likely comes from the dataset average pulling lower than this typology’s baseline.
Typology classification
Classified as Civic Square: tower-walled, low canopy (0%), tight frontage: reads as a civic square
Edge Activation
Within 100 m of the park edge: 8 active uses (restaurant, transit_stop, cafe, retail) and 2 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: OSM POIs (amenity/shop) + Toronto Building Footprints + land use
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 12 sidewalk segments within 50 m; 4 street intersections within 100 m; 54 transit stops within a 400 m walk; 0 estimated access points across ~147 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
1 distinct amenity types in the park (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); 5 city-mapped trees inside the polygon (5.0/ha). Reading: exposed. Source coverage: 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
35 buildings within 25 m of the park edge (12 mid-rise, 8 low-rise, 15 tower); avg edge height 38.9 m (~13 floors); 23.8 buildings per 100 m of 147 m perimeter (strong frontage density); edges lean tall but still framed; 15 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 12 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 (1 types · 2 records)
- garden
Nearby active-edge features (80)
- transit stop: Hagerman Street1 m
- parking lot13 m
- transit stop: Hagerman Street32 m
- cafe: Aroma Espresso Bar71 m
- parking lot73 m
- cafe: Tim Hortons92 m
- restaurant: Poke Guys94 m
- restaurant: The Chestnut Tree95 m
- cafe: Hailed Coffee96 m
- retail: Victoria Park Medispa98 m
- cafe: Chicha San Chen102 m
- retail: Canadian Tire103 m
- retail: Elle Nail Bar107 m
- transit stop: Dundas Street West108 m
- cafe: Starbucks112 m
- retail: Nails for You113 m
- restaurant: Top Hot Pot114 m
- retail: The UPS Store114 m
- retail: bbtease114 m
- restaurant: Denny's116 m
- restaurant: Japango121 m
- retail: Longo's126 m
- retail: Mark's126 m
- transit stop: Bay Street129 m
- restaurant: Yueh Tung Restaurant133 m
- community: Toronto Public Library - City Hall133 m
- retail: Best Buy136 m
- transit stop: Bay Street136 m
- restaurant: Kyoto House Japanese Restaurant139 m
- restaurant: Mo Gou Yan Hand Filled Noodle142 m
- restaurant: Hana Don142 m
- retail: M Chá Bar143 m
- retail: Butter Baker143 m
- restaurant: HolmPei Cafe Bistro143 m
- restaurant: You Don Ya144 m
- restaurant: Tsujiri144 m
- cafe: Chatime144 m
- restaurant: Fifylan145 m
- retail: L'Amour145 m
- restaurant: Brown Donkatsu145 m
- restaurant: Don Don Izakaya145 m
- transit stop: Dundas Street West146 m
- retail: Mini Market146 m
- retail: Tuina146 m
- retail: Silver S.A. Jewellers147 m
- restaurant: Kimchi Korea House148 m
- restaurant: Bapo Korean Cuisine148 m
- retail149 m
- retail: Terminal Barber Shop151 m
- retail: Circle K152 m
- transit stop: Albert Street152 m
- cafe: Trinity Square Cafe153 m
- retail: Uncle Tetsu's Japanese Cheesecake153 m
- restaurant: Unholy Donuts154 m
- restaurant: Roywoods160 m
- cafe: Mieluna Cafe160 m
- cafe: Cafe Forêt161 m
- restaurant: Chasha Express163 m
- restaurant: Feta & Olives163 m
- restaurant: eggspectation165 m
- restaurant: Gyubee Japanese Grill165 m
- retail: Petra Ave Market166 m
- parking lot167 m
- restaurant: Poulet Rouge167 m
- restaurant: New Treasure Restaurant167 m
- restaurant: Villa Madina171 m
- restaurant: KFC171 m
- retail: Solidaire Barbershop172 m
- retail: Rexall172 m
- retail: L'Attitudes Salon & Spa173 m
- restaurant: Subway174 m
- retail: Style By Serkan174 m
- restaurant: Amaya Express175 m
- retail: Steve Madden175 m
- restaurant: Bourbon St. Grill175 m
- restaurant: King Fries175 m
- transit stop: Chestnut Street177 m
- cafe: Gong Cha177 m
- restaurant: McDonald's177 m
- retail: Pandora177 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality85th
- Edge activation93th
- Connectivity66th
- Amenity diversity61th
- Natural comfort22th
- Enclosure70th
Most similar parks
Closest in metric space across the five structural dimensions.
- Trca Lands ( 67)Waterfront Park46
- Tom Riley ParkParkette42
- NEW TORONTO SENIORS' CENTRE - Building GroundsUrban Plaza47
- SIR WILLIAM CAMPBELL HOUSE MUSEUM - Building GroundsUrban Plaza45
- Conley Park SouthNeighbourhood Park42
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
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park26
- Rouge ParkWaterfront Park25
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 Larry Sefton 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.
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.