Tower-Community Green SpaceType:Underperforming / Leftover Space (waterfront-leaning)Harbourfront-CityPlace

Isabella Valancy Crawford Park

Tower-Community Green Space, near the bottom of the city overall (score 22, rank ~5th percentile). Strongest: connectivity; weakest: edge activation.

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Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026

Data updated 7 November 2026

Isabella Valancy Crawford Park scores 21.6 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: edge activation (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best fornearby residentstower-block recreation

Area · 0.23 ha

Getting around

Paths

126 m of mapped path. Too little surface tagging to say how much is paved.

3 flights of steps on the mapped network.

Seating

No seating mapped in OpenStreetMap.

Arrival

Nearest parking 49 m away. None of the 3 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.

Vitality Score

22/100

Weighted across six dimensions · confidence 57%

Data Confidence

21.6 / 100

Data confidence: moderate

Citywide

5th

of all 3,753 parks

Among Tower-Community Green Space

18th

same primary typology

Expected for similar parks

median in pocket Tower-Community Green Space (n=13)

Performance gap

-9

raw − expected · context confidence medium

modest underperformer

Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.

Loading map…

Street context. Park polygon highlighted on the citywide map.

Boundary: OpenStreetMap contributors (ODbL).

Near the park

1Social Theatre I - VI
Randy and Berenicci, 1997
Sculpture · stainless steel
Photo: City of Toronto. Source: City of Toronto Public Art

Numbers match the pins on the map. Works near the park are within 30 m of its edge.

Explain this score

Where did the 22 come from? Each weighted contribution against a neutral 50 baseline. Green = pushed up; red = pulled down.

Download JSON

What pushed this score up or down vs a neutral 50weight × score

Edge Activation0 · p8

-12.5

Amenity Diversity1 · p51

-9.7

Border Vacuum Risk100 (risk)

-5.0

Natural Comfort40 · p36

-1.4

Connectivity56 · p69

+1.1

Enclosure / Eyes on Park42 · p9

-0.8

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

Isabella Valancy Crawford Park works because its connectivity score (56) is middle of the pack.

What limits this park

Isabella Valancy Crawford Park is held back by edge activation (0, bottom quartile): the surrounding streets carry too few active uses to spill into the park; border-vacuum risk is also elevated (100).

Most distinctive characteristic

Most distinctive feature: exceptionally low edge activation (0, bottom quartile).

Jacobs reading

Isabella Valancy Crawford Park is currently underperforming on both axes: neither integrated into the city nor offering deep natural respite. A candidate for design intervention.

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 -9; cohort: pocket Tower-Community Green Space).

Typology classification

confidence 75%

Tower-Community Green Space

Classified as Tower-Community Green Space: 6 towers vs 1 mid-rise within 25 m on a 0.2 ha park

Edge Activation

25% weightpartial 60%

0.0 / 100

Within 100 m of the park edge: 10 active uses (restaurant, retail, cafe) 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: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.

Connectivity

20% weightmeasured 85%

55.5 / 100

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; 4 streetcar or LRT stops, 3 bus stops within a 400 m walk; 1 estimated access points across ~230 m of perimeter. edge density is healthy, no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m3

Intersections within 100 m2

Paths/walkways (50 m)7

Sidewalk segments (50 m)10

Transit stops (400 m)7 (0 subway/GO, 4 streetcar/LRT, 3 bus)

Estimated entrances1

Edge connections / 100 m perimeter1.31

Park perimeter230 m

Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops. All data sources.

Amenity Diversity

20% weightinferred 30%

1.4 / 100

No amenities recorded. 1 public artwork near the park adds a bonus for the number of works.

Source: Toronto Parks & Recreation Facilities + OSM amenity tags. All data sources.

Natural Comfort

15% weightinferred 36%

40.4 / 100

Natural-comfort components for this park: ~5.6% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~534 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).

Canopy coverage0.0%

Canopy area0.00 ha

Inside ravine system0.0%

Water surface inside park0.0%

Nearest water (if outside park)534 m

Estimated green100.0%

City-mapped trees inside polygon8

Tree density8.0 / ha

Cover diversity (Shannon, 0 to 100)0.0

Sample points used16

Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory. All data sources.

Enclosure / Eyes on Park

10% weightmeasured 80%

41.9 / 100

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); 3.5 buildings per 100 m of 230 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.

Buildings within 25 m8

Buildings within 50 m8

Avg edge height61.6 m (~21 floors)

Tallest edge building157.9 m

Mid-rise (3 to 7 floors)1

Low-rise (< 3 floors)1

Towers (≥ 13 floors)6

Frontage density3.48 per 100 m perimeter

Mid-rise share of edge13%

Tower share of edge75%

Blank-edge share (proxy)0%

Park perimeter230 m

Source: Toronto 3D Massing (building footprints + heights). All data sources.

Border Vacuum Risk

10% weightpartial 60%

100.0 risk

Border-vacuum factors within 50 m of the park: 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" that suppress foot traffic and isolate the park from its neighbourhood.

Source: OpenStreetMap: highways, rail, parking. All data sources.

Equity Context

contextinferred 15%

50.0 / 100

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 (0)

No amenities recorded for this park.

Nearby active-edge features (80)

restaurant: The pint20 m
rail: Union Station Rail Corridor21 m
rail24 m
rail: Union Station Rail Corridor25 m
cafe: Starbucks30 m
retail: Nicholby's32 m
rail33 m
rail34 m
rail35 m
rail: Union Station Rail Corridor37 m
rail: Union Station Rail Corridor39 m
rail: Union Station Rail Corridor40 m
rail: Union Station Rail Corridor43 m
rail: Union Station Rail Corridor45 m
rail46 m
rail: Union Station Rail Corridor46 m
rail48 m
rail: Union Station Rail Corridor48 m
restaurant: Boston Pizza49 m
parking lot49 m
rail: Union Station Rail Corridor49 m
rail: Union Station Rail Corridor50 m
rail51 m
rail: Union Station Rail Corridor52 m
rail52 m
rail: Union Station Rail Corridor58 m
retail: Rogers65 m
rail: Union Station Rail Corridor65 m
rail: Union Station Rail Corridor65 m
parking lot66 m
cafe: Second Cup70 m
rail: Union Station Rail Corridor71 m
rail: Union Station Rail Corridor74 m
rail: Union Station Rail Corridor76 m
rail: Union Station Rail Corridor77 m
rail: Union Station Rail Corridor78 m
restaurant: South Street Burger78 m
rail: Union Station Rail Corridor78 m
rail: Union Station Rail Corridor79 m
retail: CN Tower80 m
rail: Union Station Rail Corridor81 m
rail: Union Station Rail Corridor81 m
rail: Union Station Rail Corridor82 m
rail: Union Station Rail Corridor83 m
restaurant: La Diperie84 m
restaurant: Vagabondo Restobar86 m
rail: Union Station Rail Corridor87 m
rail: Union Station Rail Corridor87 m
rail: Union Station Rail Corridor88 m
rail: Union Station Rail Corridor89 m
rail: Union Station Rail Corridor97 m
cafe: Second Cup100 m
rail: Union Station Rail Corridor113 m
rail: Union Station Rail Corridor113 m
rail: Union Station Rail Corridor114 m
rail: Union Station Rail Corridor114 m
rail: Union Station Rail Corridor115 m
rail: Union Station Rail Corridor115 m
rail: Union Station Rail Corridor116 m
rail: Union Station Rail Corridor117 m
rail: Union Station Rail Corridor118 m
rail: Union Station Rail Corridor118 m
rail: Union Station Rail Corridor118 m
rail: Union Station Rail Corridor120 m
rail: Union Station Rail Corridor121 m
rail: Union Station Rail Corridor124 m
rail: Union Station Rail Corridor124 m
rail: Union Station Rail Corridor124 m
rail: Union Station Rail Corridor126 m
rail: Union Station Rail Corridor126 m
restaurant127 m
restaurant: 360 Restaurant133 m
rail: Union Station Rail Corridor133 m
rail: Union Station Rail Corridor135 m
rail: Union Station Rail Corridor139 m
rail: Union Station Rail Corridor140 m
rail: Union Station Rail Corridor140 m
rail: Union Station Rail Corridor140 m
rail: Union Station Rail Corridor140 m
rail: Union Station Rail Corridor140 m

Park profile

Five-axis radar across the structural dimensions.

Edge activation, connectivity, amenity diversity, natural comfort, and enclosure, each 0 to 100.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
5th
Edge activation
8th
Connectivity
69th
Amenity diversity
51th
Natural comfort
36th
Enclosure
9th

Most similar parks

Closest in metric space across the five structural dimensions.

Don River WatercourseWaterfront Park26
Oriole YardNeighbourhood Park26
Humber River WatercourseWaterfront Park33
City Wide Open SpaceCorridor / Linear Park22
North York Hydro Green SpaceRavine / Naturalized Park22

Most opposite parks

Furthest in metric space. Useful for recognising what kind of park this isn’t.

Kew GardensNeighbourhood Park76
Leslie Grove ParkParkette73
Bellevue Square ParkCivic Square73
Shaw ParkParkette70
Market Lane ParkUrban Plaza68

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 Park 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.
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

real Toronto data

City of Toronto Open Data: Green Spaces
Polygon boundaries, official names, land classes. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
Parks & Recreation Facilities
Inventory of in-park amenities (washrooms, fields, rinks…).
Toronto Pedestrian Network
Sidewalk segments around and through parks; estimated park entrances.
Toronto Centreline V2
Street segments + intersection nodes near park edges; trails and walkways.
Toronto 3D Massing
Building footprints + heights for edge-building counts, frontage density, and tower-in-the-park risk.
Toronto Treed Area
Tree canopy share inside park polygons via stratified-grid sampling.
Toronto Waterbodies & Rivers
Water surface inside parks + nearest-water distance for cooling.
Ravine & Natural Feature Protection
Ravine overlap as a cooling / natural-comfort signal.
Toronto Street Tree Inventory
Tree count + density inside park polygons.
OpenStreetMap (Overpass API)
Cafés, restaurants, retail, transit stops, parking, highways, rail.