Humber Marshes
Waterfront Park, middle of the pack overall (score 31, rank ~36th percentile). Strongest: natural comfort; weakest: amenity diversity.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Humber Marshes scores 31.2 / 100. Strongest dimensions: natural comfort and enclosure / eyes on park. Weakest: amenity diversity (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 25.44 ha
Weighted across six dimensions · confidence 63%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 31 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
Humber Marshes works because its natural comfort score (76) is in the top tier and its connectivity (66) is also top quartile (31% tree canopy provides real shade; it sits inside the ravine system).
What limits this park
Humber Marshes'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 natural comfort (76, top quartile).
Jacobs reading
Humber Marshes 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 (66) 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
- Reads as a modest underperformer relative to comparable parks (gap -7; cohort: very large Waterfront Park waterfront).
Typology classification
Classified as Waterfront Park: 28% water surface inside park. Secondary read: Ravine / Naturalized Park (100% ravine overlap, 31% canopy).
Edge Activation
Within 100 m of the park edge: 6 active uses (transit_stop) and 19 dead/hostile uses (highway, rail, 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 6 mapped paths/walkways and 31 sidewalk segments within 50 m; 36 street intersections within 100 m; 34 transit stops within a 400 m walk; 6 estimated access points across ~7,270 m of perimeter. low edge density, significant superblock penalty applied. 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: 30.5% estimated tree canopy; 100.0% inside the ravine system; 28.4% water surface; 34 city-mapped trees inside the polygon (1.3/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).
Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory
Enclosure / Eyes on Park
240 buildings within 25 m of the park edge (60 mid-rise, 180 low-rise, 0 tower); avg edge height 7.8 m (~3 floors); 3.3 buildings per 100 m of 7,270 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 60 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Bloor Street West, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, parking_lot, 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
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 (74)
- parking lot10 m
- highway: Bloor Street West11 m
- parking lot12 m
- parking lot14 m
- parking lot15 m
- parking lot20 m
- transit stop: South Kingsway at Ripley Ave20 m
- parking lot23 m
- parking lot23 m
- parking lot25 m
- parking lot41 m
- transit stop47 m
- parking lot66 m
- transit stop73 m
- transit stop: South Kingsway at Ormskirk Ave76 m
- rail: Line 2 Bloor-Danforth78 m
- parking lot79 m
- rail: Line 2 Bloor-Danforth82 m
- transit stop: South Kingsway84 m
- parking lot88 m
- highway: Bloor Street West89 m
- highway: Bloor Street West89 m
- transit stop91 m
- parking lot92 m
- parking lot95 m
- parking lot103 m
- retail: Hooked106 m
- parking lot106 m
- retail: Frame Print Gallery111 m
- retail: My Dream Closet111 m
- rail: Oakville Subdivision111 m
- parking lot112 m
- cafe: Cheese Boutique Cafe113 m
- transit stop: South Kingsway113 m
- highway: Bloor Street West114 m
- rail: Oakville Subdivision116 m
- parking lot117 m
- parking lot119 m
- rail: Oakville Subdivision120 m
- transit stop121 m
- transit stop: South Kingsway123 m
- rail: Oakville Subdivision124 m
- parking lot126 m
- rail: Oakville Subdivision129 m
- parking lot129 m
- rail: Oakville Subdivision133 m
- parking lot134 m
- rail: Oakville Subdivision136 m
- highway: Bloor Street West137 m
- transit stop: The Queensway at South Kingsway138 m
- rail: Oakville Subdivision141 m
- transit stop: Berry Road157 m
- transit stop: Ripley Avenue157 m
- parking lot162 m
- highway: Bloor Street West165 m
- transit stop: Berry Rd at Stephen Dr168 m
- transit stop170 m
- rail: Oakville Subdivision172 m
- rail: Oakville Subdivision173 m
- rail: Oakville Subdivision175 m
- rail: Oakville Subdivision176 m
- rail: Oakville Subdivision178 m
- rail: Oakville Subdivision179 m
- rail: Oakville Subdivision182 m
- parking lot182 m
- rail: Oakville Subdivision182 m
- highway: Gardiner Expressway183 m
- parking lot184 m
- parking lot184 m
- parking lot184 m
- rail: Line 2 Bloor-Danforth187 m
- rail: Line 2 Bloor-Danforth189 m
- parking lot195 m
- highway: Gardiner Expressway198 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality36th
- Edge activation51th
- Connectivity86th
- Amenity diversity48th
- Natural comfort90th
- Enclosure64th
Most similar parks
Closest in metric space across the five structural dimensions.
- Westview GreenbeltRavine / Naturalized Park31
- Anglesey Boulevard Median StripCorridor / Linear Park40
- Public Access PropertyCorridor / Linear Park40
- Mallow ParkRavine / Naturalized Park38
- City Wide Open SpaceParkette30
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Arnell PlazaCivic Square50
- Leslie Grove ParkParkette73
- Marita Paine ParkOther47
- Bellevue Square ParkCivic Square73
- Kew GardensNeighbourhood Park75
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 Humber Marshesmatters. 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.
- 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. Boundaries are reconciled against OpenStreetMap (ODbL) for new and updated parks.
- 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.