Athletic / Recreation Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)Hillcrest Village (48)confidence moderatereal Toronto data

Cliffwood Park

Athletic / Recreation Park, one of the city's strongest overall (score 52, rank ~97th percentile). Strongest: edge activation; weakest: natural comfort.

Photo by Tina Gupta via Google Places · cached 5/9/2026

Cliffwood Park scores 51.5 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (28.4). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:organised sportactive recreation

Area · 2.64 ha

Vitality Score

52/100

Weighted across six dimensions · confidence 72%

Data Confidence

51.5 / 100

Citywide

97th

of all 3,273 parks

Among Athletic / Recreation Park

87th

same primary typology

Expected for similar parks

median in medium Athletic / Recreation Park (n=68)

Performance gap

+10

raw − expected · context confidence high

modest overperformer

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

Street context

Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.

Top-down view

cached 5/9/2026

City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above.

City of Toronto Orthophoto · cot_ortho most-current MapServer

Explain this score

Where did the 52 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 Diversity28 · p94

-4.3

Border Vacuum Risk12 (risk)

+3.8

Connectivity64 · p81

+2.9

Enclosure / Eyes on Park65 · p58

+1.5

Edge Activation44 · p94

-1.4

Natural Comfort44 · p46

-0.9

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

Cliffwood Park works because its edge activation score (44) is in the top tier and its amenity diversity (28) is also top decile.

What limits this park

Cliffwood Park doesn't have a clear weakness — every measured dimension is at or above the middle of the pack.

Most distinctive characteristic

Most distinctive feature: exceptionally high edge activation (44, top decile).

Jacobs reading

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

Tradeoffs

Strong physical conditions (score 52) but weak observed activity signals (9) — the model says this should work, but events, mentions, and counters say it isn't being used at the level the urban form would predict.

Performance in context

A modest overperformer for its athletic / recreation park typology (+10 vs the median in medium Athletic / Recreation Park).

Typology classification

confidence 75%

Athletic / Recreation Parkalso reads as Neighbourhood Park

Classified as Athletic / Recreation Park: 67% of amenity types are athletic (sports_field, tennis). Secondary read: Neighbourhood Park (2.6 ha, framed by 4 mid-rise vs 0 towers).

Edge Activation

25% weightpartial 60%

44.4 / 100

Within 100 m of the park edge: 13 active uses (retail, transit_stop, restaurant, cafe) and 3 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%

64.3 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 5 mapped paths/walkways and 14 sidewalk segments within 50 m; 8 street intersections within 100 m; 19 transit stops within a 400 m walk; 6 estimated access points across ~667 m of perimeter. moderate edge density — small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m5

Intersections within 100 m8

Paths/walkways (50 m)5

Sidewalk segments (50 m)14

Transit stops (400 m)19

Estimated entrances6

Edge connections / 100 m perimeter0.75

Park perimeter667 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 (playground, sports_field, 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%

43.8 / 100

Natural-comfort components for this park: ~6.9% effective canopy (2.2% from contiguous tree polygons + scattered tree density); nearest waterbody ~391 m; 26 city-mapped trees inside the polygon (9.9/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 coverage2.2%

Canopy area0.06 ha

Inside ravine system0.0%

Water surface inside park0.0%

Nearest water (if outside park)391 m

Estimated green100.0%

City-mapped trees inside polygon26

Tree density9.9 / ha

Cover diversity (Shannon, 0–100)15.2

Sample points used183

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

Enclosure / Eyes on Park

10% weightmeasured 80%

65.0 / 100

44 buildings within 25 m of the park edge (4 mid-rise, 40 low-rise, 0 tower); avg edge height 6.0 m (~2 floors); 6.6 buildings per 100 m of 667 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 4 mid-rise edge buildings.

Buildings within 25 m44

Buildings within 50 m44

Avg edge height6.0 m (~2 floors)

Tallest edge building11.3 m

Mid-rise (3–7 floors)4

Low-rise (< 3 floors)40

Towers (≥ 13 floors)0

Frontage density6.60 per 100 m perimeter

Mid-rise share of edge9%

Tower share of edge0%

Blank-edge share (proxy)0%

Park perimeter667 m

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

Border Vacuum Risk

10% weightpartial 60%

12.0 risk

Border-vacuum factors within 50 m of the park: 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)

playground
sports field
tennis

Nearby active-edge features (20)

restaurant — 3A Noodle22 m
retail — Don Mills Cleaners26 m
restaurant — Pizza Hot Wings29 m
cafe — Tea Time39 m
retail — Camellia Beauty & Nails43 m
parking lot47 m
retail — Hair Kaya47 m
retail — Tastee53 m
retail — Flowers of The Valley58 m
parking lot58 m
retail — Daisy Mart63 m
transit stop — Don Mills Road at Cliffwood Road84 m
parking lot85 m
transit stop — Don Mills Road at Cliffwood Road85 m
transit stop — Don Mills Road at Cliffwood Road98 m
transit stop — Don Mills Road at Cliffwood Road98 m
transit stop — Freshmeadow Drive161 m
transit stop — Don Mills Road at Freshmeadow Drive172 m
transit stop — Don Mills Road at Freshmeadow Drive175 m
transit stop — Freshmeadow Drive at Don Mills Road184 m

Park profile

Five-axis radar across the structural dimensions.

Citywide percentile ranks

Across all Toronto parks in the dataset.

Overall vitality
97th
Edge activation
94th
Connectivity
81th
Amenity diversity
94th
Natural comfort
46th
Enclosure
58th

Most similar parks

Closest in metric space across the five structural dimensions.

Tournament ParkNeighbourhood Park54
Balmoral ParkNeighbourhood Park52
Canoe LandingAthletic / Recreation Park48
Fountainhead ParkNeighbourhood Park49
Dieppe ParkAthletic / Recreation Park53

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 ParkRavine / Naturalized Park26
Rouge ParkWaterfront Park25

Visitor signals

Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only — no usernames, no review text, no extra photos beyond the cached hero.

high-confidence match

Visitor signal score

47/ 100

46.7 / 100

p59 citywide · p46 within Athletic / Recreation Park

Volume (saturated)25

Density / ha38

Rating contribution85

Match dampener×1.00

Average rating

★ 4.4

out of 5

Ratings collected

162

total reviews

Photos uploaded

total contributors

Source: Google Places API · match high (0.99 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.

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 50%

Overall activity

9/ 100

9.0 / 100

Programming / events

0unknown

Social attention

14real

Temporal rhythm

13real

Pedestrian / cycling flow

8unknown

Cultural significance

28unknown

Activity reading: no inputs available. The strongest signal is public attention / mentions. Source coverage: google-places.

Does this score feel accurate?

Your read of Cliffwood 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.

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.