Skip to content
Toronto Parks Atlas
David Crombie Park — site photograph
Back to map
Corridor / Linear Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)Waterfront Communities-The Island (77)confidence moderatereal Toronto data

David Crombie Park

Corridor / Linear Park, one of the city's strongest overall (score 66, rank ~100th percentile). Strongest: connectivity; weakest: enclosure.

Photo by Bogdan Skrzeczkowski via Google Places · cached 5/9/2026

David Crombie Park scores 66.3 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: amenity diversity (34.5). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:walking + cycling routeslinear social use

Area · 1.34 ha

Vitality Score
66/100

Weighted across six dimensions · confidence 68%

Data Confidence
66.3 / 100
Citywide
100th
of all 3,273 parks
Among Corridor / Linear Park
100th
same primary typology
Expected for similar parks
37
median in medium Corridor / Linear Park (n=76)
Performance gap
+30
raw − expected · context confidence high
strong 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.

David Crombie Park — aerial / top-down view

City of Toronto Orthophoto · cot_ortho most-current MapServer

Explain this score

Where did the 66 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
Connectivity85 · p100
+7.0
Edge Activation70 · p99
+5.1
Border Vacuum Risk12 (risk)
+3.8
Amenity Diversity35 · p97
-3.1
Enclosure / Eyes on Park71 · p71
+2.1
Natural Comfort59 · p74
+1.4

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

David Crombie Park works because its connectivity score (85) is one of the city's strongest and its edge activation (70) is also top decile (47 transit stops sit within a 400 m walk; 36 intersections fall within 100 m of the edge).

What limits this park

David Crombie 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 connectivity (85, top decile).

Jacobs reading

David Crombie Park is a balanced hybrid — strong urban integration (75) AND meaningful natural comfort (68). Rare in Toronto's catalogue.

Tradeoffs

  • Connectivity (85) significantly outpaces natural comfort (59) — well placed in the city but offers little shade or ecological respite.
  • Strong physical conditions (score 66) but weak observed activity signals (12) — 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.
  • High connectivity (85) coexists with little programming evidence — easy to reach, but no recurring civic life detected.

Performance in context

  • This park is a strong overperformer for its cohort — raw 66 versus an expected 37 for similar parks (medium Corridor / Linear Park) (gap +30).

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 (50% of amenity types are athletic (basketball, sports_field)).

Edge Activation

25% weightpartial 60%
70.4 / 100

Within 100 m of the park edge: 38 active uses (school, cafe, retail, restaurant, transit_stop, community) and 2 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%
84.8 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 36 mapped paths/walkways and 59 sidewalk segments within 50 m; 36 street intersections within 100 m; 47 transit stops within a 400 m walk; 15 estimated access points across ~1,152 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m37
Intersections within 100 m36
Paths/walkways (50 m)36
Sidewalk segments (50 m)59
Transit stops (400 m)47
Estimated entrances15
Edge connections / 100 m perimeter3.21
Park perimeter1,152 m

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

Amenity Diversity

20% weightmeasured 75%
34.5 / 100

4 distinct amenity types in the park (basketball, dog_area, playground, sports_field). 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% weightpartial 45%
59.2 / 100

Natural-comfort components for this park: ~32.3% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~504 m; 62 city-mapped trees inside the polygon (46.2/ha). Reading: partially shaded. 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)504 m
Estimated green100.0%
City-mapped trees inside polygon62
Tree density46.2 / ha
Cover diversity (Shannon, 0–100)0.0
Sample points used61

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

Enclosure / Eyes on Park

10% weightmeasured 80%
71.2 / 100

55 buildings within 25 m of the park edge (31 mid-rise, 11 low-rise, 13 tower); avg edge height 26.0 m (~9 floors); 4.8 buildings per 100 m of 1,152 m perimeter — strong frontage density; edges lean tall but still framed; 13 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 31 mid-rise edge buildings.

Buildings within 25 m55
Buildings within 50 m55
Avg edge height26.0 m (~9 floors)
Tallest edge building72.2 m
Mid-rise (3–7 floors)31
Low-rise (< 3 floors)11
Towers (≥ 13 floors)13
Frontage density4.77 per 100 m perimeter
Mid-rise share of edge56%
Tower share of edge24%
Blank-edge share (proxy)0%
Park perimeter1,152 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 (4 types · 4 records)

  • basketball
  • dog area
  • playground
  • sports field

Nearby active-edge features (80)

  • transit stop — Frederick Street5 m
  • transit stop — Lower Sherbourne Street5 m
  • transit stop — Princess Street7 m
  • transit stop — Berkeley Street8 m
  • transit stop — George Street South16 m
  • transit stop — Lower Sherbourne Street19 m
  • transit stop — Princess Street19 m
  • retail — market cleaners23 m
  • retail23 m
  • cafe — St. Lawrence Cafe23 m
  • restaurant — Bellissimo24 m
  • restaurant — Subway25 m
  • retail — Royal Foodland25 m
  • retail — Gingko Floral Design27 m
  • community — St. Lawrence Community Recreation Centre27 m
  • transit stop — The Esplanade32 m
  • cafe — Berkeley Cafe32 m
  • restaurant — Shawarma House32 m
  • transit stop — The Esplanade33 m
  • community — Jamii36 m
  • retail — Cheers Fine Foods37 m
  • restaurant — Miyaki Sushi38 m
  • transit stop — The Esplanade40 m
  • retail — J.S. Hair Salon40 m
  • restaurant — Pizza Nova44 m
  • retail — Crown Cleaners46 m
  • parking lot48 m
  • school — St. Michael Catholic School49 m
  • restaurant — Farm’r53 m
  • restaurant — Cluck Clucks Chicken53 m
  • retail — Shannon’s Place59 m
  • transit stop — Lower Jarvis Street71 m
  • school — Downtown Alternative School86 m
  • retail — St. Lawrence Pro Hardware91 m
  • cafe — Tim Hortons93 m
  • transit stop — Lower Jarvis Street94 m
  • retail — Nova Supreme Dry Cleaners95 m
  • restaurant — Pizza Hut Express97 m
  • parking lot97 m
  • transit stop — The Esplanade100 m
  • retail — Global Pet Foods107 m
  • parking lot113 m
  • transit stop — Mill Street115 m
  • parking lot120 m
  • retail — Adam Barber Shop126 m
  • parking lot126 m
  • transit stop — Front Street East132 m
  • transit stop135 m
  • community — Toronto Public Library - St. Lawrence136 m
  • retail — Classic Hair Design137 m
  • restaurant — McDonald's137 m
  • transit stop — Front Street East138 m
  • parking lot139 m
  • retail — Eurodesign Kitchen & Bath140 m
  • retail — Stack'd Deli Kitchen140 m
  • retail — Buff Nail Lounge141 m
  • parking lot141 m
  • transit stop — Front Street East141 m
  • retail — En Vogue Nail Salon143 m
  • restaurant — Big Pita144 m
  • transit stop — Parliament Street146 m
  • rail — Union Station Rail Corridor148 m
  • rail — Union Station Rail Corridor149 m
  • rail — Union Station Rail Corridor149 m
  • retail — Artemide152 m
  • retail — Whitehouse Meats152 m
  • retail — Rabba152 m
  • retail — Olympic Cheese Mart152 m
  • restaurant — On the Rocks152 m
  • retail — Ask Computers153 m
  • rail — Union Station Rail Corridor153 m
  • retail — D' Lux Spa & Lounge155 m
  • retail — Hair Market155 m
  • retail — St. Lawrence Cleaners155 m
  • rail — Union Station Rail Corridor155 m
  • restaurant — Pizza Pizza157 m
  • retail — Pasta Mia157 m
  • retail — Market Place157 m
  • retail — Pet Cuisine157 m
  • rail — Union Station Rail Corridor157 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureDavid Crombie Park

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    100th
  • Edge activation
    99th
  • Connectivity
    100th
  • Amenity diversity
    97th
  • Natural comfort
    74th
  • Enclosure
    71th

Most similar parks

Closest in metric space across the five structural dimensions.

Most opposite parks

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

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.

Public park with a basketball court, wading pool, off-leash dog area & playground equipment. — Google editorial summary

Visitor signal score
76/ 100
75.8 / 100

p92 citywide · p100 within Corridor / Linear Park

Volume (saturated)63
Density / ha86
Rating contribution83
Match dampener×1.00
Average rating
★ 4.3
out of 5
Ratings collected
845
total reviews
Photos uploaded
10
total contributors

Source: Google Places API · match unverified (0.00 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 65%
Overall activity
12/ 100
12.0 / 100
Programming / events
0unknown
Social attention
25real
Temporal rhythm
13real
Pedestrian / cycling flow
8unknown
Cultural significance
34real

Activity reading: 637 public mentions. The strongest signal is public attention / mentions. Source coverage: google-places, wikipedia.

Does this score feel accurate?

Your read of David Crombie 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.

Rate this park on as many dimensions as you have an opinion about. 1 = not at all · 5 = strongly. Skip the ones you don't feel sure about. Aggregated only — no comments stored at the row level.

feels socially active
feels comfortable
feels safe
feels connected
feels welcoming
feels ecological / natural
feels good for lingering
feels family-friendly
feels culturally important

What would improve this park?

Generated from the weakest measured dimensions — a starting point, not a prescription.

  • Diversify what people can do in the park — playground, washroom, water, shade, performance, sport, garden — even small additions raise this score.

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.