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Toronto Parks Atlas
Bill Hancox Park, site photograph
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Neighbourhood ParkType:Walkable Mid-Rise Neighbourhood Park (enclosure-leaning)Centennial Scarborough

Bill Hancox Park

Neighbourhood Park, one of the city's strongest overall (score 55, rank ~97th percentile). Strongest: connectivity; weakest: natural comfort.

Photo by John Tziortzis via Google Places · cached 5/9/2026

Data updated

Bill Hancox Park scores 54.5 / 100. Strongest dimensions: connectivity and enclosure / eyes on park. Weakest: amenity diversity (28.4). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.

Best fordaily urban life

Area · 3.21 ha

What's here

Recreation
PlaygroundSports field
Facilities
Benches

Getting around

Paths

549 m of mapped path, 100% paved.

No steps mapped on the path network.

Seating

Not enough mapped seating to assess (3 benches mapped).

Arrival

Nearest parking 21 m away. 2 of 6 nearby lots reporting 8 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
55/100

Weighted across six dimensions · confidence 68%

Data Confidence
54.5 / 100

Data confidence: moderate

Citywide
97th
of all 3,753 parks
Among Neighbourhood Park
94th
same primary typology
Expected for similar parks
40
median in medium Neighbourhood Park (n=357)
Performance gap
+14
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.
Bill Hancox Park, 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 55 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
Connectivity73 · p95
+4.6
Amenity Diversity28 · p81
-4.3
Border Vacuum Risk12 (risk)
+3.8
Enclosure / Eyes on Park67 · p66
+1.7
Edge Activation45 · p94
-1.3
Natural Comfort50 · p55
-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

Bill Hancox Park works because its connectivity score (73) is in the top tier and its edge activation (45) is also top decile (12 intersections fall within 100 m of the edge).

What limits this park

Bill Hancox Park doesn't have a clear weakness. Every measured dimension is at or above the middle of the pack.

Most distinctive characteristic

Most distinctive feature: exceptionally high connectivity (73, top decile).

Jacobs reading

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

Performance in context

  • This park is a strong overperformer for its cohort: raw 55 versus an expected 40 for similar parks (medium Neighbourhood Park) (gap +14).

Typology classification

confidence 70%
Neighbourhood Park

Classified as Neighbourhood Park: 3.2 ha, framed by 2 mid-rise vs 0 towers

Edge Activation

25% weightpartial 60%
44.9 / 100

Within 100 m of the park edge: 20 active uses (transit_stop, community, restaurant, retail, cafe) and 4 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%
73.1 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 14 mapped paths/walkways and 38 sidewalk segments within 50 m; 12 street intersections within 100 m; 5 bus stops within a 400 m walk; 12 estimated access points across ~747 m of perimeter. edge density is healthy, no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m13
Intersections within 100 m12
Paths/walkways (50 m)14
Sidewalk segments (50 m)38
Transit stops (400 m)5 (0 subway/GO, 0 streetcar/LRT, 5 bus)
Estimated entrances12
Edge connections / 100 m perimeter1.74
Park perimeter747 m

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

Amenity Diversity

20% weightmeasured 75%
28.4 / 100

3 distinct amenity types in the park (playground, bench, sports_field). 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% weightpartial 45%
49.8 / 100

Natural-comfort components for this park: ~15.7% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~441 m; 72 city-mapped trees inside the polygon (22.4/ha). Reading: exposed. Source coverage: waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage0.0%
Canopy area0.00 ha
Inside ravine system0.0%
Water surface inside park0.0%
Nearest water (if outside park)441 m
Estimated green100.0%
City-mapped trees inside polygon72
Tree density22.4 / ha
Cover diversity (Shannon, 0 to 100)0.0
Sample points used224

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

Enclosure / Eyes on Park

10% weightmeasured 80%
66.7 / 100

104 buildings within 25 m of the park edge (2 mid-rise, 102 low-rise, 0 tower); avg edge height 6.3 m (~2 floors); 13.9 buildings per 100 m of 747 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 2 mid-rise edge buildings.

Buildings within 25 m104
Buildings within 50 m104
Avg edge height6.3 m (~2 floors)
Tallest edge building9.6 m
Mid-rise (3 to 7 floors)2
Low-rise (< 3 floors)102
Towers (≥ 13 floors)0
Frontage density13.93 per 100 m perimeter
Mid-rise share of edge2%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter747 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 (3 types · 9 records)

  • playground
  • bench
  • sports field

Nearby active-edge features (33)

  • parking lot21 m
  • transit stop: Bridgeport Drive35 m
  • retail: Markville Video52 m
  • parking lot60 m
  • cafe: Mr. Beans61 m
  • restaurant: Popeyes63 m
  • transit stop: Charlottetown Boulevard64 m
  • retail68 m
  • restaurant: JJ's Roti Delight71 m
  • retail71 m
  • parking lot77 m
  • transit stop: Port Union Road80 m
  • parking lot82 m
  • restaurant: Pizza Pizza85 m
  • retail: LCBO85 m
  • community: Toronto Public Library - Port Union89 m
  • retail91 m
  • restaurant: Subway98 m
  • retail99 m
  • retail: Dry Cleaners99 m
  • retail99 m
  • retail99 m
  • retail100 m
  • restaurant: Ama Sushi100 m
  • retail100 m
  • retail102 m
  • retail109 m
  • retail: Pet Valu110 m
  • parking lot137 m
  • transit stop: Lawrence Avenue East158 m
  • transit stop: Lawrence Avenue East160 m
  • transit stop: Port Union Road175 m
  • parking lot193 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureBill Hancox 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
    97th
  • Edge activation
    94th
  • Connectivity
    95th
  • Amenity diversity
    81th
  • Natural comfort
    55th
  • Enclosure
    66th

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 score33 / 100
33.3 / 100

p24 citywide · p19 within Neighbourhood Park

Volume (saturated)13
Density / ha19
Rating contribution75
Match dampener×1.00
Average rating
★ 4.0
out of 5
Ratings collected
74
total reviews
Photos uploaded
10
total contributors

Source: Google Places API · match high (0.96 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 Bill Hancox Park 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.
  • 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: 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.