Joel Weeks Park
Parkette, in the top tier overall (score 48, rank ~93th percentile). Strongest: connectivity; weakest: natural comfort.
Photo by Kirk E via Google Places · cached 5/9/2026
Joel Weeks Park scores 47.9 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (21). Border-vacuum risk is elevated (36). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.95 ha
Weighted across six dimensions · confidence 68%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Street context
Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
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
Explain this score
Where did the 48 come from? Each weighted contribution against a neutral 50 baseline. Green = pushed up; red = pulled down.
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
What limits this park
Most distinctive characteristic
Jacobs reading
Tradeoffs
- Connectivity (79) significantly outpaces natural comfort (39) — well placed in the city but offers little shade or ecological respite.
- Strong physical conditions (score 48) but weak observed activity signals (9) — the model says this should work, but events, mentions, and counters say it isn't being used at the level the urban form would predict.
- High connectivity (79) coexists with little programming evidence — easy to reach, but no recurring civic life detected.
Performance in context
- A modest overperformer for its parkette typology (+12 vs the median in small Parkette).
Typology classification
Classified as Parkette: small (9497 m²) with strong building frontage (12.6 per 100 m)
Edge Activation
Within 100 m of the park edge: 19 active uses (retail, restaurant, cafe, transit_stop) and 6 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: OSM POIs (amenity/shop) + Toronto Building Footprints + land use
Connectivity
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 9 mapped paths/walkways and 34 sidewalk segments within 50 m; 32 street intersections within 100 m; 20 transit stops within a 400 m walk; 6 estimated access points across ~389 m of perimeter. edge density is healthy — no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
2 distinct amenity types in the park (basketball, playground). 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
Natural-comfort components for this park: ~3.5% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~140 m; 5 city-mapped trees inside the polygon (5.0/ha). Reading: water-cooled. Source coverage: waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).
Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory
Enclosure / Eyes on Park
49 buildings within 25 m of the park edge (24 mid-rise, 25 low-rise, 0 tower); avg edge height 8.9 m (~3 floors); 12.6 buildings per 100 m of 389 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 24 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: parking_lot, parking_lot, parking_lot. 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
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 (2 types · 2 records)
- basketball
- playground
Nearby active-edge features (59)
- parking lot22 m
- parking lot25 m
- parking lot35 m
- retail51 m
- retail — Amavi Atelier68 m
- cafe — Dark Horse Espresso Bar69 m
- parking lot70 m
- parking lot70 m
- retail — Motorcade Industries Inc71 m
- retail — Isle Tattoo74 m
- retail — Guff76 m
- retail — INS Market76 m
- retail83 m
- retail85 m
- transit stop — Carroll Street87 m
- transit stop — Carroll Street87 m
- restaurant — White Lily Dinner91 m
- restaurant — Pizza Pizza95 m
- retail — Blackbird Bakery98 m
- retail — Album Hair99 m
- retail — The Cannonball99 m
- retail — Broadview Hot Yoga99 m
- parking lot100 m
- retail — Ride Away Bikes100 m
- retail — East Toronto Foot Care100 m
- retail — Kalamkaar101 m
- highway — Don Valley Parkway102 m
- highway — Don Valley Parkway104 m
- restaurant — il ponte109 m
- restaurant — Ali Baba's109 m
- parking lot116 m
- restaurant — Aura116 m
- restaurant — Riverside Burgers120 m
- retail — Downtown Toyota Pre-owned125 m
- parking lot129 m
- restaurant — Prohibition Gastrohouse133 m
- retail — Red Label Tattoo134 m
- restaurant — Wendy's142 m
- retail — Canna Cabana146 m
- restaurant — Eastbound Brewing Company151 m
- restaurant — Happy Burger155 m
- retail — Toyota Downtown156 m
- restaurant — The Broadview Bistro+Bar158 m
- restaurant — The Rooftop162 m
- transit stop — Broadview Avenue164 m
- restaurant — The Civic165 m
- restaurant — The West Cork167 m
- transit stop — Queen Street East169 m
- retail — St John's Bakery176 m
- parking lot179 m
- retail — Starbank Convenience Mart180 m
- retail — Downtown Lincoln/Downtown Ford189 m
- restaurant — Pizza Nova189 m
- highway — Don Valley Parkway191 m
- retail — Audi Downtown Toronto192 m
- parking lot193 m
- restaurant — Liberty Shawarma196 m
- parking lot196 m
- retail — Genesis Downtown197 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality93th
- Edge activation86th
- Connectivity98th
- Amenity diversity88th
- Natural comfort35th
- Enclosure92th
Most similar parks
Closest in metric space across the five structural dimensions.
- Osler PlaygroundParkette49
- Victoria Memorial Square ParkCivic Square47
- Dundas - St.Clarens ParketteUrban Plaza47
- Barbara Hall ParkParkette47
- Westmoreland Avenue ParketteUrban Plaza40
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Trca Lands ( 26)Ravine / Naturalized Park27
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park26
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.
p74 citywide · p83 within Parkette
Source: Google Places API · match high (0.99 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
Human activity signals
Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.
Activity reading: no inputs available. The strongest signal is public attention / mentions. Source coverage: google-places.
Does this score feel accurate?
Your read of Joel Weeks 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.
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 FacilitiesInventory of in-park amenities (washrooms, fields, rinks…).
- Toronto Pedestrian NetworkSidewalk segments around and through parks; estimated park entrances.
- Toronto Centreline V2Street segments + intersection nodes near park edges; trails and walkways.
- Toronto 3D MassingBuilding footprints + heights for edge-building counts, frontage density, and tower-in-the-park risk.
- Toronto Treed AreaTree canopy share inside park polygons via stratified-grid sampling.
- Toronto Waterbodies & RiversWater surface inside parks + nearest-water distance for cooling.
- Ravine & Natural Feature ProtectionRavine overlap as a cooling / natural-comfort signal.
- Toronto Street Tree InventoryTree count + density inside park polygons.
- Neighbourhood Profiles(Pending) Equity context proxy.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.