Bering Yard
Neighbourhood Park, below average overall (score 27, rank ~17th percentile). Strongest: connectivity; weakest: natural comfort.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Bering Yard scores 26.5 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is elevated (90). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 4.44 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 27 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
Tradeoffs
- The park is enclosed by buildings (71) but the surrounding streets are quiet (edge activation 0) — frame without animation.
- High connectivity coexists with high border-vacuum risk (90) — 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 -11; cohort: medium Neighbourhood Park).
Typology classification
Classified as Neighbourhood Park: 4.4 ha, framed by 13 mid-rise vs 0 towers
Edge Activation
Within 100 m of the park edge: 0 active uses (none) and 8 dead/hostile uses (parking_lot, rail). 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 0 mapped paths/walkways and 21 sidewalk segments within 50 m; 15 street intersections within 100 m; 9 transit stops within a 400 m walk; 2 estimated access points across ~846 m of perimeter. moderate edge density — small 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: ~3.8% effective canopy (0.8% from contiguous tree polygons + scattered tree density); nearest waterbody ~105 m; 24 city-mapped trees inside the polygon (5.4/ha). Reading: water-cooled. Source coverage: treed_area, 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
82 buildings within 25 m of the park edge (13 mid-rise, 69 low-rise, 0 tower); avg edge height 5.6 m (~2 floors); 9.7 buildings per 100 m of 846 m perimeter — strong frontage density; edges are barely there or single-storey; no towers immediately adjacent. "Eyes on the park" come strongest from the 13 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: rail, 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" — 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 (24)
- rail0 m
- parking lot0 m
- parking lot0 m
- parking lot0 m
- parking lot0 m
- parking lot0 m
- parking lot0 m
- parking lot55 m
- retail — Daytona Auto Sales & Service113 m
- parking lot118 m
- retail — AGM Bakery131 m
- parking lot140 m
- retail — Humberview Collision140 m
- parking lot159 m
- parking lot163 m
- retail — Cochrane Automotive169 m
- rail — Area H Industrial Spur169 m
- parking lot177 m
- cafe — The Sweet Gallery Cafe177 m
- parking lot180 m
- parking lot188 m
- parking lot191 m
- rail193 m
- rail197 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality17th
- Edge activation39th
- Connectivity77th
- Amenity diversity46th
- Natural comfort37th
- Enclosure70th
Most similar parks
Closest in metric space across the five structural dimensions.
- Old Park Road Traffic IslandCorridor / Linear Park36
- Seeley GreenbeltRavine / Naturalized Park33
- Humber Bay Promenade ParkCorridor / Linear Park25
- EAST YORK CURLING CLUB - Building GroundsParkette35
- Rekai Family ParketteRavine / Naturalized Park26
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Kew GardensNeighbourhood Park71
- Leslie Grove ParkParkette68
- Market Lane ParkUrban Plaza63
- Simcoe ParkTower-Community Green Space51
- Bellevue Square ParkCivic Square66
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 Bering Yardmatters. 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.
- Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
- 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.
- 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.