Skip to content
Toronto Park Atlas
Dentonia Park — site photograph
Back to map
Athletic / Recreation Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (large-scale)Taylor-Massey (61)confidence moderatereal Toronto data

Dentonia Park

Athletic / Recreation Park, in the top tier overall (score 47, rank ~92th percentile). Strongest: amenity diversity; weakest: natural comfort.

Photo by Diane Begin via Google Places · cached 5/9/2026

Dentonia Park scores 46.9 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: edge activation (20.4). Border-vacuum risk is elevated (84). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:organised sportactive recreation

Area · 6.19 ha

Vitality Score
47/100

Weighted across six dimensions · confidence 72%

Data Confidence
46.9 / 100
Citywide
92nd
of all 3,273 parks
Among Athletic / Recreation Park
72nd
same primary typology
Expected for similar parks
42
median in Athletic / Recreation Park (n=85)
Performance gap
+5
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.

Dentonia Park — aerial / top-down view

City of Toronto Orthophoto · cot_ortho most-current MapServer

Explain this score

Where did the 47 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 Activation20 · p78
-7.4
Connectivity80 · p99
+6.0
Border Vacuum Risk84 (risk)
-3.4
Enclosure / Eyes on Park78 · p81
+2.8
Amenity Diversity44 · p99
-1.1
Natural Comfort50 · p59
-0.0

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

Dentonia Park works because its amenity diversity score (44) is one of the city's strongest and its connectivity (80) is also top decile (6 distinct amenity types support different kinds of use).

What limits this park

Dentonia Park's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional) — risk score 84.

Most distinctive characteristic

Most distinctive feature: exceptionally high amenity diversity (44, top decile).

Jacobs reading

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

Tradeoffs

  • Connectivity (80) significantly outpaces natural comfort (50) — well placed in the city but offers little shade or ecological respite.
  • The park is enclosed by buildings (78) but the surrounding streets are quiet (edge activation 20) — frame without animation.
  • 5 nearby towers cast wind and shadow without contributing canopy — passive surveillance is plentiful but human-scale comfort is not.
  • High connectivity coexists with high border-vacuum risk (84) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
  • Strong physical conditions (score 47) but weak observed activity signals (11) — 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 (80) coexists with little programming evidence — easy to reach, but no recurring civic life detected.

Performance in context

  • A modest overperformer for its athletic / recreation park typology (+5 vs the median in Athletic / Recreation Park).
  • Citywide rank is high (92nd) but typology rank is more modest (72nd) — the strength likely comes from the dataset average pulling lower than this typology’s baseline.

Typology classification

confidence 75%
Athletic / Recreation Parkalso reads as Neighbourhood Park

Classified as Athletic / Recreation Park: 50% of amenity types are athletic (basketball, sports_field, tennis). Secondary read: Neighbourhood Park (6.2 ha, framed by 19 mid-rise vs 5 towers).

Edge Activation

25% weightpartial 60%
20.4 / 100

Within 100 m of the park edge: 13 active uses (transit_stop) and 6 dead/hostile uses (rail, 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%
80.1 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 16 mapped paths/walkways and 60 sidewalk segments within 50 m; 21 street intersections within 100 m; 45 transit stops within a 400 m walk; 11 estimated access points across ~1,513 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m29
Intersections within 100 m21
Paths/walkways (50 m)16
Sidewalk segments (50 m)60
Transit stops (400 m)45
Estimated entrances11
Edge connections / 100 m perimeter1.92
Park perimeter1,513 m

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

Amenity Diversity

20% weightmeasured 75%
44.3 / 100

6 distinct amenity types in the park (basketball, picnic, playground, sports_field, tennis, washroom). 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%
49.9 / 100

Natural-comfort components for this park: 4.6% estimated tree canopy; 22.2% inside the ravine system; nearest waterbody ~452 m; 31 city-mapped trees inside the polygon (5.0/ha). Reading: exposed. Source coverage: treed_area, ravine, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage4.6%
Canopy area0.29 ha
Inside ravine system22.2%
Water surface inside park0.0%
Nearest water (if outside park)452 m
Estimated green100.0%
City-mapped trees inside polygon31
Tree density5.0 / ha
Cover diversity (Shannon, 0–100)64.2
Sample points used216

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

Enclosure / Eyes on Park

10% weightmeasured 80%
78.2 / 100

189 buildings within 25 m of the park edge (19 mid-rise, 165 low-rise, 5 tower); avg edge height 8.8 m (~3 floors); 12.5 buildings per 100 m of 1,513 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); 5 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 19 mid-rise edge buildings.

Buildings within 25 m189
Buildings within 50 m189
Avg edge height8.8 m (~3 floors)
Tallest edge building82.2 m
Mid-rise (3–7 floors)19
Low-rise (< 3 floors)165
Towers (≥ 13 floors)5
Frontage density12.49 per 100 m perimeter
Mid-rise share of edge10%
Tower share of edge3%
Blank-edge share (proxy)0%
Park perimeter1,513 m

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

Border Vacuum Risk

10% weightpartial 60%
84.0 risk

Border-vacuum factors within 50 m of the park: Bloor-Danforth Line, parking_lot, Bloor-Danforth Line, Bloor-Danforth Line, Bloor-Danforth Line. 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 (6 types · 7 records)

  • basketball
  • picnic
  • playground
  • sports field
  • tennis
  • washroom

Nearby active-edge features (59)

  • rail — Bloor-Danforth Line0 m
  • rail — Bloor-Danforth Line0 m
  • parking lot4 m
  • transit stop — Denton Avenue10 m
  • rail — Bloor-Danforth Line25 m
  • rail — Bloor-Danforth Line28 m
  • transit stop30 m
  • transit stop — Crescent Town Bridge41 m
  • transit stop — Victoria Park Avenue43 m
  • transit stop — Victoria Park Station48 m
  • transit stop — Denton Avenue51 m
  • transit stop — North Walkway53 m
  • transit stop — Victoria Park Station90 m
  • transit stop — Victoria Park Station90 m
  • transit stop — Victoria Park Station90 m
  • transit stop — Victoria Park Station90 m
  • transit stop91 m
  • transit stop — Victoria Park96 m
  • parking lot98 m
  • transit stop — Albion Avenue104 m
  • transit stop — Victoria Park108 m
  • parking lot111 m
  • parking lot117 m
  • rail — Bloor-Danforth Line122 m
  • rail — Bloor-Danforth Line124 m
  • parking lot136 m
  • parking lot138 m
  • parking lot146 m
  • transit stop — Goodwood Park Court167 m
  • transit stop — Dawes Rd at Second Ave167 m
  • retail169 m
  • parking lot174 m
  • transit stop — Secord Avenue174 m
  • parking lot175 m
  • retail — Cannabis Place175 m
  • parking lot — Toronto Transit Commission - East Lot177 m
  • retail — Michel Le Nail179 m
  • transit stop — Macey Avenue179 m
  • retail — Vision Clear Optical180 m
  • transit stop — Danforth Avenue181 m
  • retail — Superior Tire & Auto182 m
  • restaurant — Dhaka Kebab183 m
  • retail — Money Mart183 m
  • retail — Dawes & Secord Convenience184 m
  • restaurant — Radhuni Pizza & Grill188 m
  • parking lot189 m
  • transit stop — Dawes Rd at Dentonia Park Ave189 m
  • transit stop — Dawes Rd at Dentonia Park Ave189 m
  • retail — Topin Hair Salon190 m
  • transit stop — Victoria Park Avenue191 m
  • retail — Chowk Bazaar192 m
  • retail — Ababeel Supermarket193 m
  • parking lot196 m
  • retail196 m
  • parking lot197 m
  • retail — Imag Convenience Store198 m
  • parking lot199 m
  • highway — Danforth Avenue199 m
  • parking lot200 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureDentonia Park

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    92th
  • Edge activation
    78th
  • Connectivity
    99th
  • Amenity diversity
    99th
  • Natural comfort
    59th
  • Enclosure
    81th

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.

high-confidence match

Park with soccer & cricket fields a baseball diamond, basketball court, playground & splash pad. — Google editorial summary

Visitor signal score
75/ 100
75.2 / 100

p92 citywide · p94 within Athletic / Recreation Park

Volume (saturated)72
Density / ha67
Rating contribution88
Match dampener×1.00
Average rating
★ 4.5
out of 5
Ratings collected
1,275
total reviews
Photos uploaded
10
total contributors

Source: Google Places API · match high (0.98 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
11/ 100
10.9 / 100
Programming / events
0unknown
Social attention
22real
Temporal rhythm
13real
Pedestrian / cycling flow
8unknown
Cultural significance
29unknown

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

Does this score feel accurate?

Your read of Dentonia 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.

  • 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.
  • 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.