Urban Plazacluster ·Active-edged · exposed parksBroadview North (57)confidence moderatereal Toronto data

Arthur Dyson Parkette

Urban Plaza, above average overall (score 39, rank ~72th percentile). Strongest: edge activation; weakest: natural comfort.

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

Arthur Dyson Parkette scores 39.2 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (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 passing-throughpocket meetings

Area · 0.07 ha

Vitality Score

39/100

Weighted across six dimensions · confidence 57%

Data Confidence

39.2 / 100

Citywide

72nd

of all 3,273 parks

Among Urban Plaza

62nd

same primary typology

Expected for similar parks

median in pocket Urban Plaza (n=337)

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 39 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

Amenity Diversity0 · p68

-10.0

Edge Activation25 · p84

-6.3

Border Vacuum Risk0 (risk)

+5.0

Enclosure / Eyes on Park73 · p73

+2.3

Natural Comfort37 · p29

-2.0

Connectivity51 · p57

+0.2

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

Arthur Dyson Parkette works because its edge activation score (25) is above average and its enclosure (73) is also above-average.

What limits this park

Arthur Dyson Parkette is held back by natural comfort (37, below-average)— only 0% canopy means little summer shade.

Most distinctive characteristic

Most distinctive feature: exceptionally high edge activation (25, top quartile).

Jacobs reading

Arthur Dyson Parkette sits between an urban social park and an ecological retreat — moderately useful for both, exceptionally suited to neither.

Typology classification

confidence 70%

Urban Plaza

Classified as Urban Plaza: 697 m², paved (0% canopy), 58.3 buildings/100 m

Edge Activation

25% weightpartial 60%

25.0 / 100

Within 100 m of the park edge: 2 active uses (transit_stop) and 0 dead/hostile uses (none). 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%

50.9 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 9 sidewalk segments within 50 m; 8 street intersections within 100 m; 13 transit stops within a 400 m walk; 0 estimated access points across ~118 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m6

Intersections within 100 m8

Paths/walkways (50 m)0

Sidewalk segments (50 m)9

Transit stops (400 m)13

Estimated entrances0

Edge connections / 100 m perimeter5.07

Park perimeter118 m

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

Amenity Diversity

20% weightinferred 30%

0.0 / 100

No amenities recorded — score is 0 until inventory is loaded.

Source: Toronto Parks & Recreation Facilities + OSM amenity tags

Natural Comfort

15% weightinferred 36%

36.8 / 100

Natural-comfort components for this park: ~2.1% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~268 m; 3 city-mapped trees inside the polygon (3.0/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)268 m

Estimated green100.0%

City-mapped trees inside polygon3

Tree density3.0 / ha

Cover diversity (Shannon, 0–100)0.0

Sample points used13

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

Enclosure / Eyes on Park

10% weightmeasured 80%

72.8 / 100

69 buildings within 25 m of the park edge (1 mid-rise, 68 low-rise, 0 tower); avg edge height 5.7 m (~2 floors); 58.3 buildings per 100 m of 118 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 1 mid-rise edge buildings.

Buildings within 25 m69

Buildings within 50 m69

Avg edge height5.7 m (~2 floors)

Tallest edge building9.2 m

Mid-rise (3–7 floors)1

Low-rise (< 3 floors)68

Towers (≥ 13 floors)0

Frontage density58.29 per 100 m perimeter

Mid-rise share of edge1%

Tower share of edge0%

Blank-edge share (proxy)0%

Park perimeter118 m

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

Border Vacuum Risk

10% weightpartial 60%

0.0 risk

Park edges face the city — no significant border vacuum detected.

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 (0)

No amenities recorded for this park.

Nearby active-edge features (7)

transit stop — Hopedale Avenue37 m
transit stop — Donlands Avenue75 m
transit stop — Donlands Ave at Pape Ave107 m
transit stop — Millwood Rd118 m
parking lot131 m
highway — Don Valley Parkway192 m
highway — Don Valley Parkway196 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
72th
Edge activation
84th
Connectivity
57th
Amenity diversity
68th
Natural comfort
29th
Enclosure
73th

Most similar parks

Closest in metric space across the five structural dimensions.

City Wide Open SpaceUrban Plaza40
Rathburn Road Traffic IslandWaterfront Park38
Etobicoke Hydro Green SpaceNeighbourhood Park39
Les Anthony ParketteUrban Plaza39
City Wide Open SpaceWaterfront Park38

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
Rouge ParkRavine / Naturalized Park28
Rouge ParkWaterfront Park25
Rouge ParkRavine / Naturalized Park26

Human activity signals

Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.

confidence 35%

Overall activity

15/ 100

14.9 / 100

Programming / events

0unknown

Social attention

8unknown

Temporal rhythm

13unknown

Pedestrian / cycling flow

49real

Cultural significance

15unknown

Activity reading: pedestrian intensity 46.5/100; cycling/trail 77.6/100. The strongest signal is observed pedestrian/cycling activity. Source coverage: counters.

Does this score feel accurate?

Your read of Arthur Dyson Parkettematters. 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.