Kerr Hall Quad
Neighbourhood Park, one of the city's strongest overall (score 56, rank ~97th percentile). Strongest: edge activation; weakest: natural comfort.
No photograph yet. If you have one of Kerr Hall Quad, we would like to use it.
Submit a photoData updated
Kerr Hall Quad scores 55.6 / 100. Strongest dimensions: enclosure / eyes on park and edge activation. Weakest: amenity diversity (21). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 1.23 ha
What's here
Getting around
574 m of mapped path, 100% paved.
3 flights of steps on the mapped network.
Typically 33 m to the nearest bench, and 48 m at the far end.
Nearest parking 161 m away. None of the 1 nearby lot 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 70%
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.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 56 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
Kerr Hall Quad works because its edge activation score (70) is one of the city's strongest and its enclosure (87) is also top decile (its perimeter is lined with active uses).
What limits this park
Kerr Hall Quad 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 edge activation (70, top decile).
Jacobs reading
Kerr Hall Quad 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
- This park is a strong overperformer for its cohort: raw 56 versus an expected 40 for similar parks (medium Neighbourhood Park) (gap +15).
Typology classification
Classified as Neighbourhood Park: 1.2 ha, framed by 79 mid-rise vs 15 towers
Edge Activation
Within 100 m of the park edge: 14 active uses (retail, restaurant, cafe) and 0 dead/hostile uses (none). 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 2 mapped paths/walkways and 9 sidewalk segments within 50 m; 7 street intersections within 100 m; 2 subway or GO stations, 7 streetcar or LRT stops, 6 bus stops within a 400 m walk; 0 estimated access points across ~496 m of perimeter. low edge density, significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops. All data sources.
Amenity Diversity
2 distinct amenity types in the park (basketball, 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: 5.8% estimated tree canopy. Reading: exposed. Source coverage: treed_area. 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
105 buildings within 25 m of the park edge (79 mid-rise, 11 low-rise, 15 tower); avg edge height 24.1 m (~8 floors); 21.2 buildings per 100 m of 496 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 79 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights). All data sources.
Border Vacuum Risk
Park edges face the city. No significant border vacuum detected.
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 (2 types · 6 records)
- basketball
- bench
Nearby active-edge features (80)
- cafe: Balzac's Coffee47 m
- retail: Copyrite52 m
- restaurant: Katsuya56 m
- restaurant: Tongdak Chicken57 m
- cafe: Oakham Cafe58 m
- restaurant: Pizza maru60 m
- retail: Alicos62 m
- restaurant: The Met Campus Pub73 m
- retail: Mississaugas of the Credit Medicine Wheel75 m
- retail: Church Street Barber Shop78 m
- retail: 420 Sunshine88 m
- restaurant: Crying Tiger90 m
- restaurant: Som Tum Jinda92 m
- restaurant: Kiyomio96 m
- cafe: Starbucks116 m
- restaurant: Kinka Izakaya120 m
- restaurant: A&W121 m
- cafe: 18 Feet123 m
- restaurant: Chachu's125 m
- restaurant: Kordog126 m
- restaurant: Delhi Momos126 m
- restaurant: Caribbean Queen127 m
- retail: Metro128 m
- restaurant: Harvey's128 m
- restaurant: Ali Baba's Pita & Hummus131 m
- retail: Body and Spirit Cannabis132 m
- restaurant: Daldongnae Korean BBQ132 m
- restaurant: Shelby's Legendary Shawarma133 m
- restaurant: Bocconcini Pizza and Wings133 m
- restaurant: Pita and Hummus133 m
- restaurant: Firefly Burger133 m
- retail: Sherwood Copy & Print133 m
- restaurant: Choco Churros134 m
- transit stop: Elm Street135 m
- rail: Line 1 Yonge-University135 m
- restaurant: Pizza Shab138 m
- rail: Line 1 Yonge-University140 m
- restaurant: Burrito Boyz140 m
- restaurant: Poke Burger141 m
- restaurant: Vegan Bear143 m
- restaurant: Curry & Co.146 m
- retail: Gadget City147 m
- transit stop: Gerrard Street148 m
- restaurant: California Thai150 m
- retail: One Plant151 m
- transit stop: Elm Street152 m
- transit stop: Gould Street152 m
- highway: Yonge Street153 m
- retail: Dollarama153 m
- restaurant: Opa! Souvlaki of Greece155 m
- cafe: Tim Hortons155 m
- retail157 m
- retail: H Mart159 m
- restaurant: Yonge Street Warehouse159 m
- restaurant: Jollibee159 m
- restaurant: Salad King160 m
- restaurant: Five Guys160 m
- cafe: Black Canary161 m
- retail161 m
- parking lot: Impark161 m
- restaurant: Congee Queen161 m
- restaurant: Bubble Tease161 m
- retail162 m
- transit stop: Gerrard Street162 m
- highway: Yonge Street162 m
- restaurant: McDonald's163 m
- highway: Yonge Street163 m
- retail: Ahmetzade Traditionaltaste164 m
- retail: Kodak Lens Toronto Eyecare165 m
- restaurant: Bar+ Karaoke Lounge165 m
- retail: Fleets Food166 m
- retail: Presotea166 m
- restaurant: Shawarma Royal166 m
- retail: Crazy Grotto166 m
- cafe: Pinocho166 m
- retail: Canada Gifts166 m
- retail: Presotea167 m
- restaurant: Pastable167 m
- restaurant: Fat Bastard Burrito167 m
- retail: La Fuzion Hair Salon167 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality97th
- Edge activation99th
- Connectivity50th
- Amenity diversity74th
- Natural comfort37th
- Enclosure93th
Most similar parks
Closest in metric space across the five structural dimensions.
- Butterfield ParkUrban Plaza54
- Wembley ParketteUrban Plaza54
- Canada SquareCivic Square49
- Toronto Sculpture GardenUrban Plaza55
- Wellesley - Magill ParkUrban Plaza51
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkRavine / Naturalized Park28
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park26
- 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 Kerr Hall Quad 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.
- Add or open more entrances and improve sidewalk continuity around the park. More permeability means more spontaneous use.
- 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: 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.