
Valleyfield Park
Waterfront Park, one of the city's strongest overall (score 58, rank ~98th percentile). Strongest: edge activation; weakest: enclosure.
Photo by Hoang Ha via Google Places · cached 5/9/2026
Data updated
Valleyfield Park scores 57.5 / 100. Strongest dimensions: connectivity and edge activation. Weakest: amenity diversity (21). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 2.52 ha
What's here
Getting around
428 m of mapped path, 99% paved.
1 flight of steps on the mapped network.
No seating mapped in OpenStreetMap.
Parking inside the park. 1 of 4 nearby lots reporting 1 accessible space.
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.
Weighted across six dimensions · confidence 72%
Data confidence: moderate
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 58 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
Valleyfield Park works because its edge activation score (62) is one of the city's strongest and its connectivity (70) is also top decile (its perimeter is lined with active uses).
What limits this park
Valleyfield 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 edge activation (62, top decile).
Jacobs reading
Valleyfield 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 58 versus an expected 31 for similar parks (medium Waterfront Park waterfront) (gap +27).
Typology classification
Classified as Waterfront Park: 6% water surface inside park. Secondary read: Ravine / Naturalized Park (87% ravine overlap, 13% canopy).
Edge Activation
Within 100 m of the park edge: 21 active uses (transit_stop, restaurant, retail, cafe) and 2 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
Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 2 mapped paths/walkways and 29 sidewalk segments within 50 m; 16 street intersections within 100 m; 10 bus stops within a 400 m walk; 5 estimated access points across ~876 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. All data sources.
Amenity Diversity
2 distinct amenity types in the park (washroom, 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
Natural-comfort components for this park: 13.0% estimated tree canopy; 87.0% inside the ravine system; 5.8% water surface; 7 city-mapped trees inside the polygon (2.8/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. All data sources.
Enclosure / Eyes on Park
85 buildings within 25 m of the park edge (0 mid-rise, 85 low-rise, 0 tower); avg edge height 5.3 m (~2 floors); 9.7 buildings per 100 m of 876 m perimeter (strong frontage density); edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 0 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights). All data sources.
Border Vacuum 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
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 (2 types · 7 records)
- washroom
- sports field
Nearby active-edge features (37)
- transit stop: Braecrest Avenue at The Westway0 m
- parking lot0 m
- transit stop: The Westway at Trio Ave East Side3 m
- transit stop: Royal York Road at Yorkleigh Ave6 m
- transit stop: The Westway at Trio Ave21 m
- transit stop: Royal York Road at Yorkleigh Ave25 m
- transit stop: Royal York Rd at The Westway South Side39 m
- transit stop: The Westway at Royal York Rd41 m
- cafe: Starbucks55 m
- retail: Sherwin-Williams62 m
- parking lot70 m
- transit stop: Royal York Rd at Lawrence Ave West72 m
- retail: Device Dilemma73 m
- transit stop: Royal York Rd at The Westway78 m
- restaurant: Pizza Hut Delivery78 m
- restaurant: Pizza Nova78 m
- restaurant: Lan Sushi82 m
- restaurant: Krispy Bites86 m
- retail: The Dog Wash94 m
- transit stop: Lawrence Ave West at Royal York Rd East Side94 m
- retail: The Potty Planter Florist96 m
- transit stop: Lawrence Ave West at Royal York Rd97 m
- restaurant: Mayflower Chinese Food99 m
- parking lot111 m
- parking lot140 m
- retail: Benjamin Moore142 m
- retail: DD Maxx145 m
- retail: Telus154 m
- restaurant: Robot Boil House161 m
- retail: Anna's Nail Boutique & Spa172 m
- retail: Eyekonic Eyewear175 m
- transit stop: Royal York Road at Weston Wood Rd175 m
- transit stop: Royal York Road at Weston Wood Rd176 m
- retail: Amalfi Bread & Pastry178 m
- retail: Noi Folino Hair Salon181 m
- retail: Dollarama192 m
- retail: Lana Shoes198 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality98th
- Edge activation98th
- Connectivity92th
- Amenity diversity71th
- Natural comfort77th
- Enclosure41th
Most similar parks
Closest in metric space across the five structural dimensions.
- Northwood ParkRavine / Naturalized Park58
- Duncan Creek ParkRavine / Naturalized Park57
- Toronto Music GardenNeighbourhood Park64
- Dr. Lillian Mcgregor ParkUrban Plaza59
- David Crombie ParkParkette57
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Rouge ParkRavine / Naturalized Park18
- Trca Lands ( 26)Ravine / Naturalized Park27
- Trca Lands ( 58)Ravine / Naturalized Park18
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park26
- Rouge ParkRavine / Naturalized Park21
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.
p35 citywide · p33 within Waterfront Park
Source: Google Places API · match unverified (0.00 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 Valleyfield 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.
What would improve this park?
Generated from the weakest measured dimensions: a starting point, not a prescription.
- Diversify what people can do in the park (playground, washroom, water, shade, performance, sport, garden): even small additions raise this score.
Data sources
- City of Toronto Open Data: Green SpacesPolygon boundaries, official names, land classes. 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.
- OpenStreetMap (Overpass API)Cafés, restaurants, retail, transit stops, parking, highways, rail.