Corridor / Linear Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (large-scale)Wychwood (94)confidence moderatereal Toronto data

Frankel - Lambert Park

Corridor / Linear Park, middle of the pack overall (score 36, rank ~57th percentile). Strongest: amenity diversity; weakest: edge activation.

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

Frankel - Lambert Park scores 35.5 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. 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 for:walking + cycling routeslinear social use

Area · 0.79 ha

Vitality Score

36/100

Weighted across six dimensions · confidence 72%

Data Confidence

35.5 / 100

Citywide

57th

of all 3,273 parks

Among Corridor / Linear Park

61st

same primary typology

Expected for similar parks

median in small Corridor / Linear Park (n=76)

Performance gap

raw − expected · context confidence high

typical

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

Explain this score

Where did the 36 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 · p45

-12.5

Border Vacuum Risk100 (risk)

-5.0

Amenity Diversity28 · p95

-4.3

Connectivity71 · p92

+4.2

Enclosure / Eyes on Park86 · p92

+3.6

Natural Comfort47 · p53

-0.5

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

Frankel - Lambert Park works because its amenity diversity score (28) is in the top tier and its enclosure (86) is also top decile.

What limits this park

Frankel - Lambert Park's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional) — risk score 100.

Most distinctive characteristic

Most distinctive feature: exceptionally high amenity diversity (28, top decile).

Jacobs reading

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

Tradeoffs

The park is enclosed by buildings (86) but the surrounding streets are quiet (edge activation 0) — frame without animation.
High connectivity coexists with high border-vacuum risk (100) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.

Typology classification

confidence 75%

Corridor / Linear Parkalso reads as Athletic / Recreation Park

Classified as Corridor / Linear Park: shape elongation 2.8× a circle of equal area. Secondary read: Athletic / Recreation Park (67% of amenity types are athletic (basketball, tennis)).

Edge Activation

25% weightpartial 60%

0.0 / 100

Within 100 m of the park edge: 6 active uses (transit_stop, retail) and 18 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

20% weightmeasured 85%

71.0 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 11 mapped paths/walkways and 15 sidewalk segments within 50 m; 22 street intersections within 100 m; 25 transit stops within a 400 m walk; 4 estimated access points across ~873 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m13

Intersections within 100 m22

Paths/walkways (50 m)11

Sidewalk segments (50 m)15

Transit stops (400 m)25

Estimated entrances4

Edge connections / 100 m perimeter1.49

Park perimeter873 m

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

Amenity Diversity

20% weightmeasured 75%

28.4 / 100

3 distinct amenity types in the park (basketball, playground, tennis). 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% weightmeasured 75%

46.6 / 100

Natural-comfort components for this park: ~8.4% effective canopy (7.1% from contiguous tree polygons + scattered tree density); nearest waterbody ~689 m; 12 city-mapped trees inside the polygon (12.0/ha). Reading: exposed. Source coverage: treed_area, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage7.1%

Canopy area0.06 ha

Inside ravine system0.0%

Water surface inside park0.0%

Nearest water (if outside park)689 m

Estimated green100.0%

City-mapped trees inside polygon12

Tree density12.0 / ha

Cover diversity (Shannon, 0–100)37.1

Sample points used56

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

Enclosure / Eyes on Park

10% weightmeasured 80%

85.9 / 100

60 buildings within 25 m of the park edge (30 mid-rise, 30 low-rise, 0 tower); avg edge height 12.3 m (~4 floors); 6.9 buildings per 100 m of 873 m perimeter — strong frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 30 mid-rise edge buildings.

Buildings within 25 m60

Buildings within 50 m60

Avg edge height12.3 m (~4 floors)

Tallest edge building36.9 m

Mid-rise (3–7 floors)30

Low-rise (< 3 floors)30

Towers (≥ 13 floors)0

Frontage density6.88 per 100 m perimeter

Mid-rise share of edge50%

Tower share of edge0%

Blank-edge share (proxy)0%

Park perimeter873 m

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

Border Vacuum Risk

10% weightpartial 60%

100.0 risk

Border-vacuum factors within 50 m of the park: North Toronto Subdivision, North Toronto Subdivision, North Toronto Subdivision, North Toronto Subdivision, rail, rail, North Toronto Subdivision, rail, North Toronto Subdivision, 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 (3 types · 3 records)

basketball
playground
tennis

Nearby active-edge features (52)

parking lot0 m
rail9 m
rail13 m
rail — North Toronto Subdivision13 m
rail14 m
rail — North Toronto Subdivision16 m
rail — North Toronto Subdivision16 m
rail — North Toronto Subdivision17 m
rail — North Toronto Subdivision19 m
rail — North Toronto Subdivision20 m
parking lot30 m
parking lot52 m
parking lot52 m
parking lot63 m
retail — New Canadians Lumber72 m
parking lot73 m
parking lot77 m
rail84 m
retail — LCBO85 m
retail — Lotus86 m
retail — Farm Boy88 m
transit stop — Dupont Street93 m
retail — Dupont Auto Collision96 m
parking lot97 m
parking lot101 m
transit stop — Christie Street104 m
transit stop — Lambertlodge Avenue105 m
rail — North Toronto Subdivision108 m
rail — North Toronto Subdivision108 m
transit stop — Dupont St at Shaw St109 m
parking lot109 m
transit stop — Christie Street115 m
parking lot116 m
parking lot116 m
retail — Elgin122 m
transit stop — Melita Avenue122 m
transit stop — Dupont Street123 m
retail — 11 Bike Shop124 m
restaurant — A&W126 m
transit stop — Dupont St at Shaw St126 m
retail128 m
restaurant — Golden Horseshoe Barbecue128 m
restaurant — Maison T Bistro128 m
retail — Lisa Dinh Hair Studio129 m
restaurant — Casamiento129 m
cafe — Starbucks134 m
restaurant — Loop Line Wine & Food140 m
restaurant — Thai Mango143 m
retail — Gelly Nails151 m
parking lot157 m
cafe — Krossroad Cafe186 m
parking lot198 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
57th
Edge activation
45th
Connectivity
92th
Amenity diversity
95th
Natural comfort
53th
Enclosure
92th

Most similar parks

Closest in metric space across the five structural dimensions.

West Lodge ParkAthletic / Recreation Park41
Orchard ParkNeighbourhood Park45
Kempton Howard ParkAthletic / Recreation Park43
Wychwood Barns ParkNeighbourhood Park48
York Mills Valley ParkRavine / Naturalized Park33

Most opposite parks

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

Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
Trca Lands ( 26)Ravine / Naturalized Park27
Rouge ParkWaterfront Park25
Rouge ParkRavine / Naturalized Park28
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 Frankel - Lambert 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.
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.