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Urban Plazacluster ·Walkable Mid-Rise Neighbourhood Parks (enclosure-leaning)Mount Pleasant West (104)confidence moderate

Hillsdale Avenue Park

Urban Plaza, above average overall (score 44, rank ~85th percentile). Strongest: enclosure; weakest: natural comfort.

Hillsdale Avenue Park scores 44.2 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (25.3). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best fordaily passing-throughpocket meetings

Area · 0.15 ha

What's here

Facilities
Drinking waterPicnic areaBenches
Vitality Score
44/100

Weighted across six dimensions · confidence 68%

Data Confidence
44.2 / 100
Citywide
85th
of all 3,788 parks
Among Urban Plaza
73rd
same primary typology
Expected for similar parks
38
median in pocket Urban Plaza (n=360)
Performance gap
+7
raw − expected · context confidence high
modest 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.

Boundary: OpenStreetMap contributors (ODbL).

Explain this score

Where did the 44 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 Activation25 · p85
-6.2
Amenity Diversity27 · p80
-4.5
Enclosure / Eyes on Park91 · p97
+4.1
Border Vacuum Risk24 (risk)
+2.6
Connectivity45 · p49
-1.0
Natural Comfort45 · p45
-0.8

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

Hillsdale Avenue Park works because its enclosure score (91) is one of the city's strongest and its edge activation (25) is also top quartile (14 mid-rise buildings frame the edge with passive surveillance).

What limits this park

.

Most distinctive characteristic

Most distinctive feature: exceptionally high enclosure (91, top decile).

Jacobs reading

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

Tradeoffs

  • 13 nearby towers cast wind and shadow without contributing canopy: passive surveillance is plentiful but human-scale comfort is not.

Performance in context

  • A modest overperformer for its urban plaza typology (+7 vs the median in pocket Urban Plaza).

Typology classification

confidence 70%
Urban Plaza

Classified as Urban Plaza: 1510 m², paved (8% canopy), 35.1 buildings/100 m

Edge Activation

25% weightpartial 60%
25.3 / 100

Within 100 m of the park edge: 26 active uses (retail, restaurant, cafe, transit_stop) and 7 dead/hostile uses (parking_lot, highway). 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%
44.8 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 3 sidewalk segments within 50 m; 6 street intersections within 100 m; 40 transit stops within a 400 m walk; 0 estimated access points across ~228 m of perimeter. edge density is healthy, no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m3
Intersections within 100 m6
Paths/walkways (50 m)0
Sidewalk segments (50 m)3
Transit stops (400 m)40
Estimated entrances0
Edge connections / 100 m perimeter1.32
Park perimeter228 m

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

Amenity Diversity

20% weightmeasured 75%
27.3 / 100

3 distinct amenity types in the park (bench, drinking_water, picnic). 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 48%
44.5 / 100

Natural-comfort components for this park: 8.3% estimated tree canopy. Reading: exposed. Source coverage: treed_area. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage8.3%
Canopy area0.01 ha
Inside ravine system0.0%
Water surface inside park0.0%
Nearest water (if outside park)1,500 m
Estimated green100.0%
City-mapped trees inside polygon0
Tree density0.0 / ha
Cover diversity (Shannon, 0 to 100)41.4
Sample points used12

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

Enclosure / Eyes on Park

10% weightmeasured 80%
91.3 / 100

80 buildings within 25 m of the park edge (14 mid-rise, 53 low-rise, 13 tower); avg edge height 18.3 m (~6 floors); 35.1 buildings per 100 m of 228 m perimeter (strong frontage density); edges are at a Jacobs-scale walkable mid-rise (3 to 7 floors); 13 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 14 mid-rise edge buildings.

Buildings within 25 m80
Buildings within 50 m80
Avg edge height18.3 m (~6 floors)
Tallest edge building118.0 m
Mid-rise (3 to 7 floors)14
Low-rise (< 3 floors)53
Towers (≥ 13 floors)13
Frontage density35.12 per 100 m perimeter
Mid-rise share of edge18%
Tower share of edge16%
Blank-edge share (proxy)0%
Park perimeter228 m

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

Border Vacuum Risk

10% weightpartial 60%
24.0 risk

Border-vacuum factors within 50 m of the park: parking_lot, 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: 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 (3 types · 9 records)

  • bench
  • drinking water
  • picnic

Nearby active-edge features (80)

  • retail: Farm Boy28 m
  • parking lot45 m
  • cafe: Hale Coffee46 m
  • parking lot50 m
  • retail: Staples54 m
  • retail: west elm55 m
  • retail: Wine Rack55 m
  • cafe: Sisters Café63 m
  • parking lot65 m
  • restaurant: Sansotei Ramen66 m
  • restaurant: Oretta68 m
  • transit stop: Yonge St at Soudan Ave68 m
  • highway: Yonge Street74 m
  • retail: easyfinancial77 m
  • highway: Yonge Street78 m
  • highway: Yonge Street78 m
  • restaurant: Samba79 m
  • retail: iRepair.ca82 m
  • transit stop: Berwick Avenue83 m
  • restaurant: Social Llama84 m
  • highway: Yonge Street85 m
  • retail: Alma Natural Quick Spa87 m
  • restaurant: Maki Mart89 m
  • retail: Hunny Pot Cannabis90 m
  • retail: Hunny Pot Cannabis92 m
  • retail: Bean Wise93 m
  • restaurant: Ramyun Korean Snack Bar94 m
  • retail: Fogtown95 m
  • restaurant: Juicy Dumpling97 m
  • cafe: Togo Coffee97 m
  • retail: Fuze98 m
  • restaurant: Mia Brunch Bar98 m
  • retail: Mode Hair Studio For Men99 m
  • retail: Rogers100 m
  • retail: Kitchen Stuff Plus105 m
  • restaurant: PI CO. Pizza Bar109 m
  • parking lot112 m
  • parking lot112 m
  • retail: Super Unique113 m
  • retail: Wrench Works Bicycles116 m
  • highway: Yonge Street116 m
  • highway: Yonge Street116 m
  • retail: Untitled116 m
  • retail: Sight Care Optometry & Optical120 m
  • restaurant: Zezafoun122 m
  • transit stop: Eglinton Station124 m
  • transit stop: 2190 Yonge St (Eglinton Station)125 m
  • transit stop: Opposite 2190 Yonge St125 m
  • transit stop: Eglinton Station125 m
  • retail: Global Pet Foods128 m
  • transit stop: Eglinton Station131 m
  • rail: Line 1 Yonge-University133 m
  • rail: Line 1 Yonge-University133 m
  • parking lot137 m
  • transit stop: Eglinton Station140 m
  • transit stop: Manor Road West141 m
  • parking lot143 m
  • restaurant: Padaria143 m
  • retail: Midnight Cookie145 m
  • restaurant: Popeyes146 m
  • transit stop: Yonge St Entrance150 m
  • transit stop: Eglinton Station150 m
  • retail: Potato Skins154 m
  • transit stop: Manor Road East157 m
  • retail: Belsize Cleaners160 m
  • restaurant: The Keg160 m
  • transit stop: Eglinton Station163 m
  • retail: Yes Again Bins163 m
  • parking lot170 m
  • retail: Peppermills170 m
  • highway: Yonge Street171 m
  • retail: Skiis and Biikes172 m
  • retail: Poor Little Rich Girl177 m
  • retail: Chloe Alterations180 m
  • restaurant: Kadak Vibrant Indian Cuisine182 m
  • restaurant: Hokkaido Ramen Satouka183 m
  • highway: Yonge Street184 m
  • parking lot: Impark185 m
  • restaurant: Mariachi's Mexican Cuisine188 m
  • retail: The Butcher's Son189 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureHillsdale Avenue Park
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
    85th
  • Edge activation
    85th
  • Connectivity
    49th
  • Amenity diversity
    80th
  • Natural comfort
    45th
  • Enclosure
    97th

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 Hillsdale Avenue 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
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.
  • Add or open more entrances and improve sidewalk continuity around the park. More permeability means more spontaneous use.
  • 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.

Data sources

real Toronto data
  • City of Toronto Open Data: Parks (Green Space)
    Polygon boundaries, official names, types. 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.
  • Neighbourhood Profiles
    (Pending) Equity context proxy.
  • OpenStreetMap (Overpass API)
    Cafés, restaurants, retail, transit stops, parking, highways, rail.