Neighbourhood Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)Lawrence Park North (105)confidence moderatereal Toronto data

BEDFORD PARK COMMUNITY CENTRE - Building Grounds

Neighbourhood Park, middle of the pack overall (score 36, rank ~57th percentile). Strongest: enclosure; weakest: natural comfort.

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

BEDFORD PARK COMMUNITY CENTRE - Building Grounds scores 35.6 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:daily urban life

Area · 1.61 ha

Vitality Score

36/100

Weighted across six dimensions · confidence 72%

Data Confidence

35.6 / 100

Citywide

57th

of all 3,273 parks

Among Neighbourhood Park

43rd

same primary typology

Expected for similar parks

median in medium Neighbourhood Park (n=363)

Performance gap

-2

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 · p35

-12.5

Amenity Diversity12 · p76

-7.6

Enclosure / Eyes on Park85 · p91

+3.5

Border Vacuum Risk24 (risk)

+2.6

Natural Comfort37 · p29

-2.0

Connectivity58 · p71

+1.7

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

BEDFORD PARK COMMUNITY CENTRE - Building Grounds works because its enclosure score (85) is in the top tier and its amenity diversity (12) is also top quartile (26 mid-rise buildings frame the edge with passive surveillance).

What limits this park

BEDFORD PARK COMMUNITY CENTRE - Building Grounds is held back by natural comfort (37, below-average)— only 1% canopy means little summer shade.

Most distinctive characteristic

Most distinctive feature: exceptionally high enclosure (85, top decile).

Jacobs reading

BEDFORD PARK COMMUNITY CENTRE - Building Grounds 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 (85) but the surrounding streets are quiet (edge activation 0) — frame without animation.

Typology classification

confidence 70%

Neighbourhood Park

Classified as Neighbourhood Park: 1.6 ha, framed by 26 mid-rise vs 0 towers

Edge Activation

25% weightpartial 60%

0.0 / 100

Within 100 m of the park edge: 1 active uses (retail) and 4 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%

58.3 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 5 mapped paths/walkways and 11 sidewalk segments within 50 m; 7 street intersections within 100 m; 36 transit stops within a 400 m walk; 0 estimated access points across ~533 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m10

Intersections within 100 m7

Paths/walkways (50 m)5

Sidewalk segments (50 m)11

Transit stops (400 m)36

Estimated entrances0

Edge connections / 100 m perimeter1.88

Park perimeter533 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 (community_centre). 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%

36.6 / 100

Natural-comfort components for this park: ~2.6% effective canopy (0.9% from contiguous tree polygons + scattered tree density); nearest waterbody ~835 m; 6 city-mapped trees inside the polygon (3.7/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 coverage0.9%

Canopy area0.01 ha

Inside ravine system0.0%

Water surface inside park0.0%

Nearest water (if outside park)835 m

Estimated green100.0%

City-mapped trees inside polygon6

Tree density3.7 / ha

Cover diversity (Shannon, 0–100)7.4

Sample points used111

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

Enclosure / Eyes on Park

10% weightmeasured 80%

84.8 / 100

144 buildings within 25 m of the park edge (26 mid-rise, 118 low-rise, 0 tower); avg edge height 7.8 m (~3 floors); 27.0 buildings per 100 m of 533 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 26 mid-rise edge buildings.

Buildings within 25 m144

Buildings within 50 m144

Avg edge height7.8 m (~3 floors)

Tallest edge building18.4 m

Mid-rise (3–7 floors)26

Low-rise (< 3 floors)118

Towers (≥ 13 floors)0

Frontage density27.04 per 100 m perimeter

Mid-rise share of edge18%

Tower share of edge0%

Blank-edge share (proxy)0%

Park perimeter533 m

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

Border Vacuum Risk

10% weightpartial 60%

24.0 risk

Border-vacuum factors within 50 m of the park: parking_lot, Bedford Park PS staff parking. 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)

community centre

Nearby active-edge features (36)

parking lot — Bedford Park PS staff parking0 m
parking lot19 m
parking lot64 m
parking lot80 m
retail — ZayZay Shop85 m
transit stop — Ranleigh Av Entrance113 m
retail — See Ya Studio118 m
restaurant — Pizza Nova118 m
transit stop — Yonge St at Ranleigh Ave119 m
retail — Rogers121 m
transit stop — Mount Pleasant Rd at Wanless Ave133 m
retail — Parkers Cleaners136 m
transit stop — Lawrence141 m
transit stop — Mount Pleasant Rd at Ranleigh Ave145 m
transit stop — Yonge St at Ranleigh Ave148 m
transit stop — Bedford Entrance149 m
transit stop — Lawrence150 m
retail — Dick Young Market151 m
restaurant — Pizza Pizza153 m
highway — Yonge Street154 m
transit stop — Cardinal Place156 m
retail — Sleep Country157 m
parking lot166 m
transit stop — Mount Pleasant Rd at Ranleigh Ave168 m
cafe — Second Cup168 m
transit stop — Weybourne Crescent173 m
retail — Brading Specialty Shades177 m
retail178 m
retail — Snow 1 Hour Cleaners185 m
transit stop — Mount Pleasant Road188 m
retail — Dollarama191 m
cafe — For The Win Board Game Cafe193 m
retail — Buzzed Buds196 m
highway — Yonge Street198 m
restaurant — Maiz Yonge199 m
transit stop — Yonge St at Lawrence Ave W199 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
35th
Connectivity
71th
Amenity diversity
76th
Natural comfort
29th
Enclosure
91th

Most similar parks

Closest in metric space across the five structural dimensions.

Janda ParkUrban Plaza38
Alan - Oxford ParketteUrban Plaza38
Winslow - Dalesford ParketteUrban Plaza38
Sackville PlaygroundUrban Plaza37
ST. ALPHONSUS CATHOLIC SECONDARY SCHOOL - Building GroundsParkette36

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
Mclevin Woods ParkRavine / Naturalized Park49
Rouge ParkRavine / Naturalized Park28
Rouge ParkWaterfront Park25

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 BEDFORD PARK COMMUNITY CENTRE - 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.
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 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.