
HODGSON PUBLIC SCHOOL - Building Grounds
Neighbourhood Park, above average overall (score 41, rank ~77th percentile). Strongest: edge activation; weakest: natural comfort.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
HODGSON PUBLIC SCHOOL - Building Grounds scores 40.5 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 1.70 ha
Weighted across six dimensions · confidence 59%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 41 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
What limits this park
Most distinctive characteristic
Jacobs reading
Typology classification
Classified as Neighbourhood Park: 1.7 ha, framed by 23 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 12 active uses (transit_stop, retail, school, restaurant) and 3 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 7 sidewalk segments within 50 m; 6 street intersections within 100 m; 17 transit stops within a 400 m walk; 1 estimated access points across ~549 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
Amenity Diversity
No amenities recorded — score is 0 until inventory is loaded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: ~1.7% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~842 m; 4 city-mapped trees inside the polygon (2.4/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
Enclosure / Eyes on Park
160 buildings within 25 m of the park edge (23 mid-rise, 137 low-rise, 0 tower); avg edge height 7.6 m (~3 floors); 29.1 buildings per 100 m of 549 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 23 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, parking_lot. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" — they 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 (0)
No amenities recorded for this park.
Nearby active-edge features (40)
- parking lot0 m
- retail — CCMH Toronto Student Intern Clinic27 m
- transit stop — Belle Ayre Boulevard28 m
- school — Toronto Prep School29 m
- parking lot45 m
- transit stop — Belle Ayre Boulevard50 m
- parking lot58 m
- retail — Pampered Paws65 m
- transit stop — Mount Pleasant Road69 m
- restaurant — Starving Artist Waffles & Espresso78 m
- restaurant — Millwood Bread & Butter79 m
- retail — Ixxy Vape82 m
- transit stop — Davisville Avenue85 m
- retail — Mountain Convenience95 m
- transit stop — Davisville Avenue100 m
- restaurant — Sushi Supreme101 m
- retail — Neptune Hairstyling103 m
- restaurant — Krabi Thai Cuisine109 m
- transit stop — Mount Pleasant Road111 m
- retail — Bob's Cleaners112 m
- retail — E. Bapst Custom Upholstering117 m
- restaurant — Hazel's Diner121 m
- restaurant — Wild Chicory125 m
- retail — Eye Studio126 m
- restaurant — Subway128 m
- retail — Saati Fine Jewellery131 m
- transit stop — Mount Pleasant Road West Side132 m
- retail — Second Nature Boutique132 m
- parking lot145 m
- parking lot146 m
- transit stop — Belsize Drive155 m
- retail — Tech-Net Professional Auto Service165 m
- parking lot166 m
- restaurant — The Belsize Public House176 m
- transit stop — Belsize Drive184 m
- retail — Circle K190 m
- retail — Mabel’s Fables196 m
- cafe — Tim Hortons197 m
- retail — The Box Spot199 m
- retail — Manderley Fine Furniture199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality77th
- Edge activation94th
- Connectivity41th
- Amenity diversity67th
- Natural comfort20th
- Enclosure90th
Most similar parks
Closest in metric space across the five structural dimensions.
- Douglas GreenbeltWaterfront Park42
- MACKENZIE HOUSE - Building GroundsUrban Plaza41
- Glen Davis RavineRavine / Naturalized Park42
- City Wide Open SpaceUrban Plaza40
- Don Mills United Church CemeteryUrban Plaza46
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 ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park26
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 HODGSON PUBLIC SCHOOL - Building Groundsmatters. 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.
- 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 — Parks (Green Space)Polygon boundaries, official names, types.
- 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.