Highland Creek
Waterfront Park, above average overall (score 40, rank ~75th percentile). Strongest: natural comfort; weakest: enclosure.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Highland Creek scores 40 / 100. Strongest dimensions: natural comfort 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 · 28.60 ha
Weighted across six dimensions · confidence 63%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 40 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 (+6 vs the median in very large Waterfront Park waterfront).
Typology classification
Classified as Waterfront Park: 5% water surface inside park. Secondary read: Ravine / Naturalized Park (100% ravine overlap, 80% canopy).
Edge Activation
Within 100 m of the park edge: 5 active uses (transit_stop, retail) 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 78 sidewalk segments within 50 m; 25 street intersections within 100 m; 15 transit stops within a 400 m walk; 11 estimated access points across ~3,449 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: 80.1% estimated tree canopy; 99.7% inside the ravine system; 5.0% water surface; 3 city-mapped trees inside the polygon (0.1/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
219 buildings within 25 m of the park edge (2 mid-rise, 216 low-rise, 1 tower); avg edge height 5.2 m (~2 floors); 6.3 buildings per 100 m of 3,449 m perimeter — strong frontage density; edges are barely there or single-storey; 1 tower ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 2 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 (34)
- transit stop — Orton Park Road26 m
- parking lot36 m
- parking lot50 m
- parking lot50 m
- retail — Lawrence-Orton Bicycle Repair Hub57 m
- parking lot60 m
- transit stop — Overture Road62 m
- transit stop — Overture Road66 m
- transit stop — Orton Park Road85 m
- parking lot92 m
- parking lot95 m
- parking lot102 m
- retail110 m
- highway — Kingston Road131 m
- parking lot133 m
- parking lot135 m
- parking lot137 m
- transit stop — Celeste Drive138 m
- transit stop — Susan Street145 m
- community — East Scarborough Storefront145 m
- highway — Kingston Road152 m
- retail — Solaso153 m
- retail — Get N' Go Convenience158 m
- parking lot159 m
- retail — Scarborough Vapes164 m
- transit stop — Celeste Drive167 m
- parking lot169 m
- restaurant — House of Chicken169 m
- highway — Kingston Road176 m
- restaurant — Athavan182 m
- parking lot182 m
- restaurant — Pizza House193 m
- retail — U-Haul194 m
- retail — Prem Grocerie198 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality75th
- Edge activation32th
- Connectivity91th
- Amenity diversity39th
- Natural comfort94th
- Enclosure26th
Most similar parks
Closest in metric space across the five structural dimensions.
- Black Creek ParklandWaterfront Park32
- Hague ParkWaterfront Park40
- Elmcrest ParkWaterfront Park41
- Canadian Ukrainian Memorial ParkRavine / Naturalized Park33
- Hollis Kalmar ParkRavine / Naturalized Park31
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Joseph Burr Tyrrell ParkUrban Plaza50
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Bernard Avenue Road AllowanceUrban Plaza54
- Leslie Grove ParkParkette68
- Queen'S Quay Traffic IslandWaterfront Park49
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 Highland Creekmatters. 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.
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.