Waterfront Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)York University Heights (27)confidence moderatereal Toronto data

Dan Iannuzzi Park

Waterfront Park, middle of the pack overall (score 39, rank ~69th percentile). Strongest: connectivity; weakest: edge activation.

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

Dan Iannuzzi Park scores 38.5 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. 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:waterfront recreationlong walks

Area · 1.79 ha

Vitality Score

39/100

Weighted across six dimensions · confidence 72%

Data Confidence

38.5 / 100

Citywide

69th

of all 3,273 parks

Among Waterfront Park

80th

same primary typology

Expected for similar parks

median in medium Waterfront Park waterfront (n=126)

Performance gap

raw − expected · context confidence high

modest overperformer

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

Edge Activation0 · p38

-12.5

Amenity Diversity12 · p78

-7.6

Connectivity68 · p88

+3.7

Enclosure / Eyes on Park83 · p88

+3.3

Border Vacuum Risk36 (risk)

+1.4

Natural Comfort52 · p63

+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

Dan Iannuzzi Park works because its connectivity score (68) is in the top tier and its enclosure (83) is also top quartile (12 transit stops sit within a 400 m walk; 18 intersections fall within 100 m of the edge).

What limits this park

Dan Iannuzzi Park's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional) — risk score 36.

Most distinctive characteristic

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

Jacobs reading

Dan Iannuzzi 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 (83) but the surrounding streets are quiet (edge activation 0) — frame without animation.

Performance in context

A modest overperformer for its waterfront park typology (+9 vs the median in medium Waterfront Park waterfront).

Typology classification

confidence 85%

Waterfront Parkalso reads as Corridor / Linear Park

Classified as Waterfront Park: 25% water surface inside park. Secondary read: Corridor / Linear Park (shape elongation 2.0× a circle of equal area).

Edge Activation

25% weightpartial 60%

0.0 / 100

Within 100 m of the park edge: 0 active uses (none) and 6 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%

68.3 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 14 mapped paths/walkways and 15 sidewalk segments within 50 m; 18 street intersections within 100 m; 12 transit stops within a 400 m walk; 4 estimated access points across ~970 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m14

Intersections within 100 m18

Paths/walkways (50 m)14

Sidewalk segments (50 m)15

Transit stops (400 m)12

Estimated entrances4

Edge connections / 100 m perimeter1.44

Park perimeter970 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% weightmeasured 75%

51.6 / 100

Natural-comfort components for this park: ~9.4% effective canopy (2.8% from contiguous tree polygons + scattered tree density); 3.7% inside the ravine system; 25.2% water surface; 24 city-mapped trees inside the polygon (13.4/ha). Reading: water-cooled. Source coverage: treed_area, ravine, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage2.8%

Canopy area0.05 ha

Inside ravine system3.7%

Water surface inside park25.2%

Nearest water (if outside park)0 m (inside)

Estimated green74.8%

City-mapped trees inside polygon24

Tree density13.4 / ha

Cover diversity (Shannon, 0–100)60.0

Sample points used107

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

Enclosure / Eyes on Park

10% weightmeasured 80%

82.8 / 100

56 buildings within 25 m of the park edge (24 mid-rise, 30 low-rise, 2 tower); avg edge height 10.3 m (~3 floors); 5.8 buildings per 100 m of 970 m perimeter — strong frontage density; edges are at a Jacobs-scale walkable mid-rise (3–7 floors); 2 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 24 mid-rise edge buildings.

Buildings within 25 m56

Buildings within 50 m56

Avg edge height10.3 m (~3 floors)

Tallest edge building55.7 m

Mid-rise (3–7 floors)24

Low-rise (< 3 floors)30

Towers (≥ 13 floors)2

Frontage density5.78 per 100 m perimeter

Mid-rise share of edge43%

Tower share of edge4%

Blank-edge share (proxy)0%

Park perimeter970 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 (9)

parking lot46 m
parking lot47 m
parking lot48 m
parking lot54 m
parking lot — Passy Crescent Lot83 m
parking lot94 m
parking lot — Passy Crescent Visitors Lot114 m
parking lot156 m
parking lot188 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
69th
Edge activation
38th
Connectivity
88th
Amenity diversity
78th
Natural comfort
63th
Enclosure
88th

Most similar parks

Closest in metric space across the five structural dimensions.

Flora Voisey ParkRavine / Naturalized Park42
Oates ParkNeighbourhood Park41
Haverson ParkUrban Plaza40
Ben Nobleman ParkUrban Plaza32
Dempsey ParkNeighbourhood Park43

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
Simcoe ParkTower-Community Green Space51
Rouge ParkRavine / Naturalized Park21
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 Dan Iannuzzi 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.
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.