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Lee Centre Park — site photograph
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Civic Squarecluster ·Walkable Mid-Rise Neighbourhood Parks (large-scale)Woburn (137)confidence moderatereal Toronto data

Lee Centre Park

Civic Square, middle of the pack overall (score 34, rank ~51th percentile). Strongest: connectivity; weakest: enclosure.

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

Lee Centre Park scores 34.3 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: edge activation (0). Border-vacuum risk is elevated (36). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:public eventsdowntown gathering

Area · 0.33 ha

Vitality Score
34/100

Weighted across six dimensions · confidence 66%

Data Confidence
34.3 / 100
Citywide
51st
of all 3,273 parks
Among Civic Square
39th
same primary typology
Expected for similar parks
42
median in small Civic Square (n=23)
Performance gap
-7
raw − expected · context confidence medium
modest underperformer

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

Explain this score

Where did the 34 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 · p47
-12.5
Amenity Diversity12 · p82
-7.6
Connectivity68 · p87
+3.5
Border Vacuum Risk36 (risk)
+1.4
Natural Comfort42 · p42
-1.2
Enclosure / Eyes on Park56 · p22
+0.6

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

Lee Centre Park works because its connectivity score (68) is in the top tier and its amenity diversity (12) is also top quartile (12 transit stops sit within a 400 m walk).

What limits this park

Lee Centre Park is held back by enclosure (56, bottom quartile); border-vacuum risk is also elevated (36).

Most distinctive characteristic

Most distinctive feature: exceptionally high connectivity (68, top quartile).

Jacobs reading

Lee Centre Park sits between an urban social park and an ecological retreat — moderately useful for both, exceptionally suited to neither.

Tradeoffs

  • Connectivity (68) significantly outpaces natural comfort (42) — well placed in the city but offers little shade or ecological respite.
  • 5 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 -7; cohort: small Civic Square).

Typology classification

confidence 70%
Civic Square

Classified as Civic Square: tower-walled, low canopy (0%), tight frontage — reads as a civic square

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 6 active uses (transit_stop, retail, restaurant, cafe) and 9 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

20% weightmeasured 85%
67.7 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 7 mapped paths/walkways and 15 sidewalk segments within 50 m; 6 street intersections within 100 m; 12 transit stops within a 400 m walk; 6 estimated access points across ~226 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m8
Intersections within 100 m6
Paths/walkways (50 m)7
Sidewalk segments (50 m)15
Transit stops (400 m)12
Estimated entrances6
Edge connections / 100 m perimeter3.54
Park perimeter226 m

Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops

Amenity Diversity

20% weightmeasured 75%
11.9 / 100

1 distinct amenity types in the park (playground). 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

15% weightinferred 36%
42.3 / 100

Natural-comfort components for this park: ~6.3% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~175 m; 9 city-mapped trees inside the polygon (9.0/ha). Reading: water-cooled. 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)175 m
Estimated green100.0%
City-mapped trees inside polygon9
Tree density9.0 / ha
Cover diversity (Shannon, 0–100)0.0
Sample points used22

Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory

Enclosure / Eyes on Park

10% weightmeasured 80%
56.0 / 100

12 buildings within 25 m of the park edge (4 mid-rise, 3 low-rise, 5 tower); avg edge height 42.9 m (~14 floors); 5.3 buildings per 100 m of 226 m perimeter — strong frontage density; edges dominated by towers; 5 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 4 mid-rise edge buildings.

Buildings within 25 m12
Buildings within 50 m12
Avg edge height42.9 m (~14 floors)
Tallest edge building114.4 m
Mid-rise (3–7 floors)4
Low-rise (< 3 floors)3
Towers (≥ 13 floors)5
Frontage density5.30 per 100 m perimeter
Mid-rise share of edge33%
Tower share of edge42%
Blank-edge share (proxy)0%
Park perimeter226 m

Source: Toronto 3D Massing (building footprints + heights)

Border Vacuum Risk

10% weightpartial 60%
36.0 risk

Border-vacuum factors within 50 m of the park: parking_lot, 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

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: Toronto Neighbourhood Profiles

Amenities (1 types · 1 records)

  • playground

Nearby active-edge features (25)

  • retail — Jin cun0 m
  • restaurant — Shi lai shi wang25 m
  • cafe28 m
  • retail — Green Spot Convenience28 m
  • transit stop — Lee Centre Drive38 m
  • transit stop — Lee Centre Drive38 m
  • parking lot45 m
  • parking lot45 m
  • parking lot49 m
  • parking lot55 m
  • parking lot62 m
  • parking lot89 m
  • parking lot89 m
  • parking lot90 m
  • parking lot94 m
  • parking lot122 m
  • highway — Highway 401 Collector126 m
  • parking lot155 m
  • transit stop — Progress WB/Corporate164 m
  • highway — Highway 401 Collector170 m
  • transit stop — Corporate Dr at Progress Ave172 m
  • highway — Highway 401 Collector178 m
  • transit stop — Corporate Dr at Progress Ave186 m
  • parking lot192 m
  • parking lot198 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureLee Centre Park

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    51th
  • Edge activation
    47th
  • Connectivity
    87th
  • Amenity diversity
    82th
  • Natural comfort
    42th
  • Enclosure
    22th

Most similar parks

Closest in metric space across the five structural dimensions.

Most opposite parks

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

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 Lee Centre 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.

Rate this park on as many dimensions as you have an opinion about. 1 = not at all · 5 = strongly. Skip the ones you don't feel sure about. Aggregated only — no comments stored at the row level.

feels socially active
feels comfortable
feels safe
feels connected
feels welcoming
feels ecological / natural
feels good for lingering
feels family-friendly
feels culturally important

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.
  • 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 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.
  • Neighbourhood Profiles
    (Pending) Equity context proxy.
  • OpenStreetMap (Overpass API)
    Cafés, restaurants, retail, transit stops, parking, highways, rail.