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FRANKLAND COMMUNITY CENTRE - Building Grounds — site photograph
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Neighbourhood Parkcluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)North Riverdale (68)confidence moderatereal Toronto data

FRANKLAND COMMUNITY CENTRE - Building Grounds

Neighbourhood Park, below average overall (score 30, rank ~29th percentile). Strongest: enclosure; weakest: edge activation.

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

FRANKLAND COMMUNITY CENTRE - Building Grounds scores 29.8 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:daily urban life

Area · 1.59 ha

Vitality Score
30/100

Weighted across six dimensions · confidence 72%

Data Confidence
29.8 / 100
Citywide
29th
of all 3,273 parks
Among Neighbourhood Park
16th
same primary typology
Expected for similar parks
37
median in medium Neighbourhood Park (n=363)
Performance gap
-8
raw − expected · context confidence high
modest underperformer

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

Explain this score

Where did the 30 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 · p23
-12.5
Amenity Diversity12 · p71
-7.6
Border Vacuum Risk100 (risk)
-5.0
Enclosure / Eyes on Park83 · p88
+3.3
Connectivity65 · p83
+3.1
Natural Comfort41 · p38
-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

FRANKLAND COMMUNITY CENTRE - Building Grounds works because its enclosure score (83) is in the top tier and its connectivity (65) is also top quartile (23 mid-rise buildings frame the edge with passive surveillance).

What limits this park

FRANKLAND COMMUNITY CENTRE - Building Grounds is held back by edge activation (0, bottom quartile)— the surrounding streets carry too few active uses to spill into the park; border-vacuum risk is also elevated (100).

Most distinctive characteristic

Most distinctive feature: exceptionally high enclosure (83, top quartile).

Jacobs reading

FRANKLAND COMMUNITY CENTRE - Building Grounds 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.
  • High connectivity coexists with high border-vacuum risk (100) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.

Performance in context

  • Reads as a modest underperformer relative to comparable parks (gap -8; cohort: medium Neighbourhood Park).

Typology classification

confidence 70%
Neighbourhood Park

Classified as Neighbourhood Park: 1.6 ha, framed by 23 mid-rise vs 0 towers

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 69 active uses (cafe, transit_stop, restaurant, retail) and 12 dead/hostile uses (highway, 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%
65.4 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 24 sidewalk segments within 50 m; 21 street intersections within 100 m; 10 transit stops within a 400 m walk; 2 estimated access points across ~639 m of perimeter. moderate edge density — small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m6
Intersections within 100 m21
Paths/walkways (50 m)0
Sidewalk segments (50 m)24
Transit stops (400 m)10
Estimated entrances2
Edge connections / 100 m perimeter0.94
Park perimeter639 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 (community_centre). 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%
40.6 / 100

Natural-comfort components for this park: ~5.7% effective canopy (1.8% from contiguous tree polygons + scattered tree density); nearest waterbody ~943 m; 13 city-mapped trees inside the polygon (8.2/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 coverage1.8%
Canopy area0.03 ha
Inside ravine system0.0%
Water surface inside park0.0%
Nearest water (if outside park)943 m
Estimated green100.0%
City-mapped trees inside polygon13
Tree density8.2 / ha
Cover diversity (Shannon, 0–100)13.0
Sample points used111

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

Enclosure / Eyes on Park

10% weightmeasured 80%
82.8 / 100

189 buildings within 25 m of the park edge (23 mid-rise, 166 low-rise, 0 tower); avg edge height 7.4 m (~2 floors); 29.6 buildings per 100 m of 639 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 23 mid-rise edge buildings.

Buildings within 25 m189
Buildings within 50 m189
Avg edge height7.4 m (~2 floors)
Tallest edge building13.8 m
Mid-rise (3–7 floors)23
Low-rise (< 3 floors)166
Towers (≥ 13 floors)0
Frontage density29.58 per 100 m perimeter
Mid-rise share of edge12%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter639 m

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

Border Vacuum Risk

10% weightpartial 60%
100.0 risk

Border-vacuum factors within 50 m of the park: Danforth Avenue, Danforth Avenue, Danforth Avenue, Danforth Avenue, Danforth Avenue, parking_lot, Danforth Avenue. 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)

  • community centre

Nearby active-edge features (80)

  • parking lot0 m
  • restaurant — Sambal30 m
  • restaurant — Komi Banh Mi Bar30 m
  • restaurant — Casa Sushi30 m
  • restaurant — Monkey Sushi30 m
  • retail — easyfinancial30 m
  • restaurant — Herby30 m
  • retail — Glamazing30 m
  • restaurant — Pantheon30 m
  • restaurant — MomoHut & Gardens Inc30 m
  • restaurant — Menali30 m
  • retail — Rosy Nails30 m
  • retail — The Night Baker30 m
  • cafe — Gong Cha31 m
  • restaurant — Wanas Shawarma31 m
  • restaurant — Messini31 m
  • restaurant — Stacked31 m
  • retail — Bom Dia Cafe and Bakery31 m
  • retail — Becker's Bridals31 m
  • retail — Alex Farm Cheese31 m
  • retail — The Scribe32 m
  • retail — sugarmoon33 m
  • transit stop — Chester Avenue39 m
  • restaurant — VIP Billiard & Lounge41 m
  • restaurant — Mocha Mocha46 m
  • highway — Danforth Avenue48 m
  • highway — Danforth Avenue48 m
  • highway — Danforth Avenue48 m
  • highway — Danforth Avenue48 m
  • highway — Danforth Avenue48 m
  • highway — Danforth Avenue49 m
  • highway — Danforth Avenue52 m
  • restaurant — El Charro52 m
  • transit stop — Chester Avenue53 m
  • restaurant — bb.q Chicken57 m
  • highway — Danforth Avenue59 m
  • retail — Avoca61 m
  • retail — Rowe Farms63 m
  • retail — Fruitland63 m
  • cafe — Trinacria63 m
  • retail63 m
  • cafe — One Gram By Primo63 m
  • cafe — Tim Hortons63 m
  • restaurant — Mezes63 m
  • restaurant — Astoria64 m
  • restaurant — Ala Antioch Express64 m
  • retail — Vaffi Salon & Aesthetics64 m
  • retail — Chester Variety64 m
  • restaurant — Kalyvia Restaurant64 m
  • retail — Tsaa64 m
  • retail — Urban Curls Boutique64 m
  • cafe — Caffé Demetre64 m
  • restaurant — Salonika Estiatorio64 m
  • retail66 m
  • highway — Danforth Avenue67 m
  • retail — Legs Beautiful67 m
  • retail — Danforth Barber Shop68 m
  • retail — 180 Smoke68 m
  • retail — Postables70 m
  • retail — Chrysalis72 m
  • cafe — Second Cup74 m
  • retail — Aya74 m
  • highway — Danforth Avenue77 m
  • restaurant — The Burger's Priest78 m
  • retail — Book City78 m
  • restaurant — Chiang Mai79 m
  • cafe — Red Rocket Coffee80 m
  • retail — blo82 m
  • restaurant — Sher-E-Pubjab83 m
  • retail — Athens Pastries83 m
  • retail — Snug85 m
  • parking lot85 m
  • restaurant — Christina’s85 m
  • restaurant — The Auld Spot Pub87 m
  • restaurant — The Friendly Greek88 m
  • restaurant — The Big Carrot Organic Juice Bar88 m
  • restaurant — Alexandros90 m
  • retail — Jade Thread and Wax Bar96 m
  • restaurant — Koh Samiji97 m
  • restaurant — Kababi99 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureFRANKLAND COMMUNITY CENTRE - Building Grounds

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    29th
  • Edge activation
    23th
  • Connectivity
    83th
  • Amenity diversity
    71th
  • Natural comfort
    38th
  • Enclosure
    88th

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.

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 FRANKLAND COMMUNITY CENTRE - Building Groundsmatters. 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.