
Isabella Valancy Crawford Park
Tower-Community Green Space, near the bottom of the city overall (score 21, rank ~4th percentile). Strongest: connectivity; weakest: enclosure.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Isabella Valancy Crawford Park scores 20.7 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: amenity diversity (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.25 ha
Weighted across six dimensions · confidence 57%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 21 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
Tradeoffs
- 6 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
Performance in context
- Reads as a modest underperformer relative to comparable parks (gap -11; cohort: pocket Tower-Community Green Space).
Typology classification
Classified as Tower-Community Green Space: 6 towers vs 1 mid-rise within 25 m on a 0.2 ha park
Edge Activation
Within 100 m of the park edge: 11 active uses (restaurant, cafe, retail) and 41 dead/hostile uses (rail, 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 7 mapped paths/walkways and 10 sidewalk segments within 50 m; 2 street intersections within 100 m; 9 transit stops within a 400 m walk; 1 estimated access points across ~248 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
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: ~5.6% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~533 m; 8 city-mapped trees inside the polygon (8.0/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
Enclosure / Eyes on Park
8 buildings within 25 m of the park edge (1 mid-rise, 1 low-rise, 6 tower); avg edge height 61.6 m (~21 floors); 3.2 buildings per 100 m of 248 m perimeter — strong frontage density; edges dominated by towers; 6 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 1 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: rail, Union Station Rail Corridor, Union Station Rail Corridor, Union Station Rail Corridor, parking_lot, Union Station Rail Corridor, Union Station Rail Corridor, rail, Union Station Rail Corridor, Union Station Rail Corridor, Union Station Rail Corridor, rail, rail, Union Station Rail Corridor, Union Station Rail Corridor, rail, rail, rail, Union Station Rail Corridor. 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 (80)
- restaurant — The pint20 m
- rail — Union Station Rail Corridor20 m
- rail23 m
- rail — Union Station Rail Corridor25 m
- cafe — Starbucks29 m
- retail — Nicholby's32 m
- rail32 m
- rail34 m
- rail35 m
- rail — Union Station Rail Corridor37 m
- rail — Union Station Rail Corridor37 m
- rail — Union Station Rail Corridor38 m
- rail — Union Station Rail Corridor42 m
- rail — Union Station Rail Corridor44 m
- rail45 m
- rail — Union Station Rail Corridor45 m
- rail45 m
- parking lot46 m
- rail — Union Station Rail Corridor48 m
- restaurant — Boston Pizza48 m
- rail — Union Station Rail Corridor49 m
- rail — Union Station Rail Corridor49 m
- rail49 m
- rail — Union Station Rail Corridor50 m
- rail51 m
- rail — Union Station Rail Corridor56 m
- rail — Union Station Rail Corridor63 m
- rail — Union Station Rail Corridor63 m
- retail — Rogers64 m
- parking lot67 m
- cafe — Second Cup70 m
- rail — Union Station Rail Corridor70 m
- rail — Union Station Rail Corridor72 m
- rail — Union Station Rail Corridor75 m
- rail — Union Station Rail Corridor76 m
- rail — Union Station Rail Corridor77 m
- rail — Union Station Rail Corridor77 m
- restaurant — South Street Burger77 m
- rail — Union Station Rail Corridor78 m
- retail — CN Tower79 m
- rail — Union Station Rail Corridor79 m
- rail — Union Station Rail Corridor80 m
- rail — Union Station Rail Corridor81 m
- rail — Union Station Rail Corridor81 m
- restaurant — La Diperie83 m
- rail — Union Station Rail Corridor84 m
- rail — Union Station Rail Corridor85 m
- rail — Union Station Rail Corridor86 m
- rail — Union Station Rail Corridor86 m
- restaurant — Vagabondo Restobar87 m
- rail — Union Station Rail Corridor96 m
- cafe — Second Cup100 m
- rail — Union Station Rail Corridor110 m
- rail — Union Station Rail Corridor110 m
- rail — Union Station Rail Corridor111 m
- rail — Union Station Rail Corridor111 m
- rail — Union Station Rail Corridor112 m
- rail — Union Station Rail Corridor112 m
- rail — Union Station Rail Corridor114 m
- rail — Union Station Rail Corridor114 m
- rail — Union Station Rail Corridor114 m
- rail — Union Station Rail Corridor115 m
- rail — Union Station Rail Corridor117 m
- rail — Union Station Rail Corridor119 m
- rail — Union Station Rail Corridor119 m
- rail — Union Station Rail Corridor120 m
- rail — Union Station Rail Corridor120 m
- rail — Union Station Rail Corridor120 m
- rail — Union Station Rail Corridor124 m
- rail — Union Station Rail Corridor125 m
- restaurant127 m
- rail — Union Station Rail Corridor130 m
- restaurant — 360 Restaurant132 m
- rail — Union Station Rail Corridor132 m
- rail — Union Station Rail Corridor136 m
- rail — Union Station Rail Corridor136 m
- rail — Union Station Rail Corridor137 m
- rail — Union Station Rail Corridor137 m
- rail — Union Station Rail Corridor138 m
- rail — Union Station Rail Corridor138 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality4th
- Edge activation31th
- Connectivity60th
- Amenity diversity39th
- Natural comfort38th
- Enclosure9th
Most similar parks
Closest in metric space across the five structural dimensions.
- Humber River WatercourseWaterfront Park26
- Don River WatercourseWaterfront Park26
- East Highland Creek WatercourseRavine / Naturalized Park19
- Massey Creek RavineWaterfront Park28
- Oriole YardNeighbourhood Park26
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Leslie Grove ParkParkette68
- Kew GardensNeighbourhood Park71
- Market Lane ParkUrban Plaza63
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Bellevue Square ParkCivic Square66
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 Isabella Valancy Crawford 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.
- Encourage mid-rise, windowed frontages around the park so residents have direct sightlines onto it.
- 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 — 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.