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Toronto Parks Atlas
Alexander Muir Memorial Gardens, site photograph
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Civic SquareType:Walkable Mid-Rise Neighbourhood Park (large-scale)Lawrence Park South

Alexander Muir Memorial Gardens

Civic Square, above average overall (score 42, rank ~77th percentile). Strongest: connectivity; weakest: edge activation.

Photo by TheTrolleyPole, CC BY-SA 4.0 via Wikimedia Commons

Data updated

Alexander Muir Memorial Gardens scores 41.5 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. 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 forpublic eventsdowntown gathering

Area · 8.24 ha

What's here

Recreation
TennisLawn bowlingSports court
Facilities
Drinking waterBenches

Getting around

Paths

2.3 km of mapped path, 48% paved.

17 flights of steps on the mapped network.

Seating

Not enough mapped seating to assess (6 benches mapped).

Arrival

Parking inside the park. 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
42/100

Weighted across six dimensions · confidence 72%

Data Confidence
41.5 / 100

Data confidence: moderate

Citywide
76th
of all 3,753 parks
Among Civic Square
49th
same primary typology
Expected for similar parks
42
median in Civic Square (n=90)
Performance gap
-0
raw − expected · context confidence high
typical

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

More photographs of Alexander Muir Memorial Gardens

5 more, from Wikimedia Commons and from people who sent them in. Each is someone else’s work: select one to see who took it and the licence it carries.

Loading map…

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Street context. Park polygon highlighted on the citywide map.

Boundary: OpenStreetMap contributors (ODbL).

Explain this score

Where did the 42 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 · p56
-12.5
Connectivity82 · p99
+6.4
Border Vacuum Risk100 (risk)
-5.0
Enclosure / Eyes on Park82 · p87
+3.2
Amenity Diversity36 · p88
-2.7
Natural Comfort64 · p80
+2.1

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

Alexander Muir Memorial Gardens works because its connectivity score (82) is one of the city's strongest and its amenity diversity (36) is also top quartile (16 transit stops sit within a 400 m walk; 27 intersections fall within 100 m of the edge).

What limits this park

Alexander Muir Memorial Gardens's edges are fronted by border-vacuum land uses (highways, rail, parking, blank institutional), risk score 100.

Most distinctive characteristic

Most distinctive feature: exceptionally high connectivity (82, top decile).

Jacobs reading

Alexander Muir Memorial Gardens 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 (82) 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

  • Citywide rank is high (76th) but typology rank is more modest (49th): the strength likely comes from the dataset average pulling lower than this typology’s baseline.

Typology classification

confidence 75%
Civic Squarealso reads as Ravine / Naturalized Park

Classified as Civic Square: name flags as civic square + 11.6 buildings per 100 m frontage. Secondary read: Ravine / Naturalized Park (100% ravine overlap, 14% canopy).

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 7 active uses (retail, transit_stop) and 10 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: OpenStreetMap: cafes, restaurants, shops, schools, community centres, transit, parking, highways, rail. All data sources.

Connectivity

20% weightmeasured 85%
82.2 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 66 mapped paths/walkways and 65 sidewalk segments within 50 m; 27 street intersections within 100 m; 16 bus stops within a 400 m walk; 15 estimated access points across ~1,657 m of perimeter. edge density is healthy, no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m24
Intersections within 100 m27
Paths/walkways (50 m)66
Sidewalk segments (50 m)65
Transit stops (400 m)16 (0 subway/GO, 0 streetcar/LRT, 16 bus)
Estimated entrances15
Edge connections / 100 m perimeter1.45
Park perimeter1,657 m

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

Amenity Diversity

20% weightmeasured 75%
36.4 / 100

5 distinct amenity types in the park (bench, bowling_green, drinking_water, other_sport, tennis). 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%
63.9 / 100

Natural-comfort components for this park: 13.8% estimated tree canopy; 100.0% inside the ravine system; nearest waterbody ~36 m; 26 city-mapped trees inside the polygon (3.2/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 coverage13.8%
Canopy area1.14 ha
Inside ravine system100.0%
Water surface inside park0.0%
Nearest water (if outside park)36 m
Estimated green100.0%
City-mapped trees inside polygon26
Tree density3.2 / ha
Cover diversity (Shannon, 0 to 100)53.3
Sample points used145

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

Enclosure / Eyes on Park

10% weightmeasured 80%
81.7 / 100

192 buildings within 25 m of the park edge (46 mid-rise, 146 low-rise, 0 tower); avg edge height 8.6 m (~3 floors); 11.6 buildings per 100 m of 1,657 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 46 mid-rise edge buildings.

Buildings within 25 m192
Buildings within 50 m192
Avg edge height8.6 m (~3 floors)
Tallest edge building28.6 m
Mid-rise (3 to 7 floors)46
Low-rise (< 3 floors)146
Towers (≥ 13 floors)0
Frontage density11.59 per 100 m perimeter
Mid-rise share of edge24%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter1,657 m

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

Border Vacuum Risk

10% weightpartial 60%
100.0 risk

Border-vacuum factors within 50 m of the park: Yonge Street, Yonge Street, Yonge Street, Yonge Street, Yonge Street, 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 (5 types · 13 records)

  • bench
  • bowling green
  • drinking water
  • other sport
  • tennis

Nearby active-edge features (28)

  • parking lot0 m
  • transit stop: Yonge St at St Edmund's Dr3 m
  • highway: Yonge Street13 m
  • highway: Yonge Street13 m
  • highway: Yonge Street13 m
  • highway: Yonge Street14 m
  • highway: Yonge Street32 m
  • transit stop: Chatsworth Drive35 m
  • retail: Food Plus Market40 m
  • parking lot50 m
  • transit stop: Glengowan Road51 m
  • highway: Yonge Street54 m
  • parking lot92 m
  • retail: Munk Hearing Centre93 m
  • transit stop: Mount Pleasant Rd at Blythwood Rd94 m
  • highway: Yonge Street98 m
  • transit stop: Glengowan Road100 m
  • transit stop: Glengrove Avenue105 m
  • transit stop: Glengrove Avenue109 m
  • highway: Yonge Street121 m
  • parking lot126 m
  • retail: Sheridan Nurseries134 m
  • retail: The Sign of the Skier140 m
  • highway: Yonge Street151 m
  • retail: Naz Beauty & Skincare153 m
  • retail153 m
  • retail: Fari Hard Custom Tailoring155 m
  • transit stop: Mount Pleasant Rd at Stibbard Ave180 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureAlexander Muir Memorial Gardens
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
    77th
  • Edge activation
    56th
  • Connectivity
    99th
  • Amenity diversity
    88th
  • Natural comfort
    80th
  • Enclosure
    87th

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 Alexander Muir Memorial Gardens 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.
  • 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

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.