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Lawrence Park Ravine, site photograph
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Ravine / Naturalized ParkType:Walkable Mid-Rise Neighbourhood Park (large-scale)Lawrence Park South

Lawrence Park Ravine

Ravine / Naturalized Park, in the top tier overall (score 48, rank ~91th percentile). Strongest: connectivity; weakest: edge activation.

Photo by Frank D via Google Places · cached 5/9/2026

Data updated

Lawrence Park Ravine scores 48.3 / 100. Strongest dimensions: enclosure / eyes on park and natural comfort. Weakest: edge activation (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best forescape into natureshaded summer use

Area · 2.07 ha

What's here

Recreation
TennisLawn bowlingSports court
Facilities
Washroom

Getting around

Paths

319 m of mapped path, 47% paved.

1 flight of steps on the mapped network.

Seating

No seating mapped in OpenStreetMap.

Arrival

Nearest parking 11 m away. None of the 4 nearby lots records whether it has accessible spaces.

Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.

Vitality Score
48/100

Weighted across six dimensions · confidence 72%

Data Confidence
48.3 / 100

Data confidence: moderate

Citywide
91st
of all 3,753 parks
Among Ravine / Naturalized Park
94th
same primary typology
Expected for similar parks
36
median in medium Ravine / Naturalized Park ravine (n=229)
Performance gap
+12
raw − expected · context confidence high
strong overperformer

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

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Street context. Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
Lawrence Park Ravine, aerial top-down view
Top-down view. 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 · cached 5/9/2026.

Boundary: OpenStreetMap contributors (ODbL).

Explain this score

Where did the 48 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 · p30
-12.5
Connectivity70 · p91
+4.0
Border Vacuum Risk12 (risk)
+3.8
Natural Comfort75 · p88
+3.7
Amenity Diversity32 · p84
-3.5
Enclosure / Eyes on Park78 · p82
+2.8

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

Lawrence Park Ravine works because its connectivity score (70) is in the top tier and its natural comfort (75) is also top quartile (12 transit stops sit within a 400 m walk; 12 intersections fall within 100 m of the edge).

What limits this park

Lawrence Park Ravine is held back by edge activation (0, below-average): the surrounding streets carry too few active uses to spill into the park.

Most distinctive characteristic

Most distinctive feature: exceptionally high connectivity (70, top decile).

Jacobs reading

Lawrence Park Ravine 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 (78) but the surrounding streets are quiet (edge activation 0): frame without animation.

Performance in context

  • This park is a strong overperformer for its cohort: raw 48 versus an expected 36 for similar parks (medium Ravine / Naturalized Park ravine) (gap +12).

Typology classification

confidence 75%
Ravine / Naturalized Parkalso reads as Neighbourhood Park

Classified as Ravine / Naturalized Park: 100% ravine overlap, 27% canopy. Secondary read: Neighbourhood Park (2.1 ha, framed by 15 mid-rise vs 0 towers).

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 0 active uses (none) 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: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.

Connectivity

20% weightmeasured 85%
70.1 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 11 mapped paths/walkways and 24 sidewalk segments within 50 m; 12 street intersections within 100 m; 12 bus stops within a 400 m walk; 5 estimated access points across ~663 m of perimeter. moderate edge density, small superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m5
Intersections within 100 m12
Paths/walkways (50 m)11
Sidewalk segments (50 m)24
Transit stops (400 m)12 (0 subway/GO, 0 streetcar/LRT, 12 bus)
Estimated entrances5
Edge connections / 100 m perimeter0.76
Park perimeter663 m

Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops. All data sources.

Amenity Diversity

20% weightmeasured 75%
32.3 / 100

4 distinct amenity types in the park (tennis, washroom, bowling_green, other_sport). Diversity 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. All data sources.

Natural Comfort

15% weightmeasured 75%
74.6 / 100

Natural-comfort components for this park: 27.3% estimated tree canopy; 100.0% inside the ravine system; nearest waterbody ~40 m; 5 city-mapped trees inside the polygon (2.4/ha). Reading: ravine-cooled. Source coverage: treed_area, ravine, waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage27.3%
Canopy area0.56 ha
Inside ravine system100.0%
Water surface inside park0.0%
Nearest water (if outside park)40 m
Estimated green100.0%
City-mapped trees inside polygon5
Tree density2.4 / ha
Cover diversity (Shannon, 0 to 100)75.0
Sample points used143

Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory. All data sources.

Enclosure / Eyes on Park

10% weightmeasured 80%
78.3 / 100

74 buildings within 25 m of the park edge (15 mid-rise, 59 low-rise, 0 tower); avg edge height 7.7 m (~3 floors); 11.2 buildings per 100 m of 663 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 15 mid-rise edge buildings.

Buildings within 25 m74
Buildings within 50 m74
Avg edge height7.7 m (~3 floors)
Tallest edge building20.8 m
Mid-rise (3 to 7 floors)15
Low-rise (< 3 floors)59
Towers (≥ 13 floors)0
Frontage density11.17 per 100 m perimeter
Mid-rise share of edge20%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter663 m

Source: Toronto 3D Massing (building footprints + heights). All data sources.

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" that suppress foot traffic and isolate the park from its neighbourhood.

Source: OpenStreetMap: highways, rail, parking. All data sources.

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: Not loaded yet: Toronto Neighbourhood Profiles. All data sources.

Amenities (4 types · 8 records)

  • tennis
  • washroom
  • bowling green
  • other sport

Nearby active-edge features (19)

  • parking lot11 m
  • parking lot87 m
  • highway: Yonge Street112 m
  • transit stop: Glengrove Avenue116 m
  • highway: Yonge Street119 m
  • transit stop: Glengrove Avenue123 m
  • highway: Yonge Street132 m
  • retail: Sheridan Nurseries142 m
  • highway: Yonge Street150 m
  • retail: The Sign of the Skier152 m
  • parking lot155 m
  • retail: Naz Beauty & Skincare163 m
  • retail164 m
  • retail: Fari Hard Custom Tailoring166 m
  • highway: Yonge Street169 m
  • parking lot178 m
  • transit stop: Glengowan Road185 m
  • highway: Yonge Street189 m
  • transit stop: Yonge St at St Edmund's Dr193 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureLawrence Park Ravine
Edge activation, connectivity, amenity diversity, natural comfort, and enclosure, each 0 to 100.

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    91th
  • Edge activation
    30th
  • Connectivity
    91th
  • Amenity diversity
    84th
  • Natural comfort
    88th
  • Enclosure
    82th

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
Visitor signal score36 / 100
36.3 / 100

p32 citywide · p42 within Ravine / Naturalized Park

Volume (saturated)7
Density / ha16
Rating contribution95
Match dampener×1.00
Average rating
★ 4.8
out of 5
Ratings collected
40
total reviews
Photos uploaded
10
total contributors

Source: Google Places API · match high (0.95 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.

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 Lawrence Park Ravine matters. 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
70%

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.

Data sources

real Toronto data
  • City of Toronto Open Data: Green Spaces
    Polygon boundaries, official names, land classes. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
  • 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.
  • OpenStreetMap (Overpass API)
    Cafés, restaurants, retail, transit stops, parking, highways, rail.