
Douglas Greenbelt
Waterfront Park, above average overall (score 42, rank ~81th percentile). Strongest: edge activation; weakest: natural comfort.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Douglas Greenbelt scores 41.7 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 0.47 ha
Weighted across six dimensions · confidence 59%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 42 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
Performance in context
- A modest overperformer for its waterfront park typology (+11 vs the median in small Waterfront Park waterfront).
Typology classification
Classified as Waterfront Park: 6% water surface inside park. Secondary read: Ravine / Naturalized Park (100% ravine overlap, 0% canopy).
Edge Activation
Within 100 m of the park edge: 11 active uses (retail, restaurant, transit_stop) and 3 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 1 mapped paths/walkways and 4 sidewalk segments within 50 m; 7 street intersections within 100 m; 17 transit stops within a 400 m walk; 1 estimated access points across ~366 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
No amenities recorded — score is 0 until inventory is loaded.
Source: Toronto Parks & Recreation Facilities + OSM amenity tags
Natural Comfort
Natural-comfort components for this park: 0.0% estimated tree canopy; 100.0% inside the ravine system; 6.1% water surface. Reading: ravine-cooled. Source coverage: ravine, waterbodies. 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
77 buildings within 25 m of the park edge (17 mid-rise, 60 low-rise, 0 tower); avg edge height 8.7 m (~3 floors); 21.0 buildings per 100 m of 366 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 17 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. 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 (0)
No amenities recorded for this park.
Nearby active-edge features (30)
- parking lot21 m
- parking lot23 m
- retail — Royal Lighting54 m
- retail — MG Hearing Systems Inc.60 m
- transit stop — Avenue Rd at Douglas Rd71 m
- parking lot71 m
- retail — Pusateri's Fine Foods72 m
- restaurant — Maker Pizza74 m
- transit stop — Avenue Rd at Douglas Rd85 m
- retail — Carlson Wagonlit Travel89 m
- restaurant — Boneyard Grill92 m
- restaurant — 12 Tables Restaurant93 m
- restaurant — Da Venezia Gourmet Pizza95 m
- retail — Fancy Franks100 m
- transit stop — Lawrence Ave at Elm Rd106 m
- transit stop — 250 Lawrence Avenue West107 m
- parking lot107 m
- cafe — Starbucks108 m
- restaurant — Rosie's Burger109 m
- parking lot113 m
- transit stop — Avenue Road126 m
- transit stop — Lawrence Avenue West152 m
- parking lot166 m
- parking lot175 m
- transit stop — Avenue Road176 m
- parking lot178 m
- transit stop — Lawrence Avenue West181 m
- parking lot185 m
- transit stop — Lawrence Ave at Chatsworth Dr187 m
- transit stop — Woburn Avenue200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality81th
- Edge activation93th
- Connectivity54th
- Amenity diversity69th
- Natural comfort26th
- Enclosure92th
Most similar parks
Closest in metric space across the five structural dimensions.
- HODGSON PUBLIC SCHOOL - Building GroundsNeighbourhood Park41
- Bennett ParkUrban Plaza41
- St. Clements - Yonge ParketteUrban Plaza39
- Fairford Avenue ParketteUrban Plaza47
- Grafton Avenue ParkUrban Plaza39
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
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 Douglas Greenbeltmatters. 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.
- 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
- 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.