Port Union Waterfront Park
Waterfront Park, middle of the pack overall (score 39, rank ~69th percentile). Strongest: connectivity; weakest: enclosure.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Port Union Waterfront Park scores 39.3 / 100. Strongest dimensions: connectivity and natural comfort. Weakest: edge activation (13.8). Border-vacuum risk is elevated (36). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 13.05 ha
What's here
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Loading map…
The parks map is loading.Explain this score
Where did the 39 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
Port Union Waterfront Park works because its connectivity score (63) is above average and its natural comfort (61) is also top quartile (13 transit stops sit within a 400 m walk; 22 intersections fall within 100 m of the edge).
What limits this park
Port Union Waterfront Park is held back by enclosure (37, bottom quartile); border-vacuum risk is also elevated (36).
Most distinctive characteristic
Most distinctive feature: exceptionally low enclosure (37, bottom quartile).
Jacobs reading
Port Union Waterfront Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Typology classification
Classified as Waterfront Park: 21% water surface inside park. Secondary read: Corridor / Linear Park (shape elongation 4.6× a circle of equal area).
Edge Activation
Within 100 m of the park edge: 7 active uses (transit_stop) and 5 dead/hostile uses (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 36 mapped paths/walkways and 45 sidewalk segments within 50 m; 22 street intersections within 100 m; 13 transit stops within a 400 m walk; 9 estimated access points across ~5,883 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
2 distinct amenity types in the park (bench, shelter). 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: 9.3% estimated tree canopy; 34.7% inside the ravine system; 20.7% water surface; 4 city-mapped trees inside the polygon (0.3/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
40 buildings within 25 m of the park edge (4 mid-rise, 36 low-rise, 0 tower); avg edge height 7.5 m (~3 floors); 0.7 buildings per 100 m of 5,883 m perimeter (thin frontage with significant blank-edge share); edges are low-rise (mostly 2 to 3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 4 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Kingston Subdivision, Kingston Subdivision. 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 (2 types · 5 records)
- bench
- shelter
Nearby active-edge features (16)
- transit stop: Rouge Hill11 m
- transit stop: Rouge Hill15 m
- transit stop: Rouge Hill GO Station Loop26 m
- rail: Kingston Subdivision29 m
- rail: Kingston Subdivision34 m
- transit stop: Rouge Hill GO Station Loop37 m
- transit stop: Stotts Terrace44 m
- parking lot52 m
- transit stop: Stotts Terrace59 m
- transit stop: Rouge Hill GO Station Loop61 m
- rail: Kingston Subdivision77 m
- rail: Kingston Subdivision81 m
- parking lot111 m
- transit stop: East Avenue (Rouge Hill GO Station)126 m
- rail: Kingston Subdivision156 m
- rail: Kingston Subdivision159 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality69th
- Edge activation71th
- Connectivity81th
- Amenity diversity67th
- Natural comfort78th
- Enclosure6th
Most similar parks
Closest in metric space across the five structural dimensions.
- North Keelesdale ParkRavine / Naturalized Park27
- Sunnyside Bike ParkCorridor / Linear Park30
- Humber Valley Golf CourseRavine / Naturalized Park35
- Humber ArboretumWaterfront Park30
- Scarlett Woods Golf CourseRavine / Naturalized Park30
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Leslie Grove ParkParkette73
- Bernard Avenue Road AllowanceUrban Plaza57
- Arnell PlazaCivic Square50
- Joseph Burr Tyrrell ParkUrban Plaza53
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 Port Union Waterfront 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.
- Encourage mid-rise, windowed frontages around the park so residents have direct sightlines onto it.
- 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.