Richview Park
Neighbourhood Park, middle of the pack overall (score 31, rank ~34th percentile). Strongest: amenity diversity; weakest: natural comfort.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Richview Park scores 30.7 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is elevated (72). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 10.96 ha
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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
What limits this park
Most distinctive characteristic
Jacobs reading
Tradeoffs
- The park is enclosed by buildings (64) but the surrounding streets are quiet (edge activation 0) — frame without animation.
Typology classification
Classified as Neighbourhood Park: 11.0 ha, framed by 8 mid-rise vs 3 towers
Edge Activation
Within 100 m of the park edge: 6 active uses (transit_stop) and 12 dead/hostile uses (highway, 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 1 mapped paths/walkways and 25 sidewalk segments within 50 m; 8 street intersections within 100 m; 20 transit stops within a 400 m walk; 1 estimated access points across ~1,736 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 (playground, sports_field). 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: 2.2% estimated tree canopy; nearest waterbody ~818 m; 15 city-mapped trees inside the polygon (1.4/ha). Reading: exposed. 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
71 buildings within 25 m of the park edge (8 mid-rise, 60 low-rise, 3 tower); avg edge height 7.6 m (~3 floors); 4.1 buildings per 100 m of 1,736 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); 3 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 8 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, 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 (2 types · 2 records)
- playground
- sports field
Nearby active-edge features (39)
- parking lot0 m
- parking lot0 m
- parking lot0 m
- transit stop — Richgrove Drive2 m
- parking lot11 m
- transit stop — Martin Grove Rd at Richgrove Dr28 m
- parking lot30 m
- transit stop — North side stop - Eglinton Avenue West37 m
- parking lot46 m
- transit stop46 m
- transit stop — Martin Grove Rd at Eglinton Avenue West69 m
- parking lot74 m
- transit stop — Martin Grove Road77 m
- highway — Eglinton Avenue West87 m
- parking lot92 m
- parking lot95 m
- highway — Eglinton Avenue West95 m
- parking lot95 m
- highway — Eglinton Avenue West101 m
- highway — Eglinton Avenue West102 m
- highway — Eglinton Avenue West105 m
- parking lot106 m
- transit stop — 63 Widdicombe Hill Blvd (Huntingwood Place)110 m
- parking lot114 m
- transit stop — Martin Grove Road115 m
- parking lot118 m
- highway — Eglinton Avenue West118 m
- parking lot121 m
- parking lot127 m
- parking lot131 m
- transit stop — South side stop - Eglinton Avenue West135 m
- parking lot140 m
- highway — Eglinton Avenue West151 m
- transit stop — Widdicombe Hill Boulevard170 m
- transit stop — Sedgeley Drive172 m
- highway — Eglinton Avenue West187 m
- highway — Eglinton Avenue West187 m
- parking lot194 m
- transit stop — Lloyd Manor Road194 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality34th
- Edge activation52th
- Connectivity72th
- Amenity diversity90th
- Natural comfort29th
- Enclosure55th
Most similar parks
Closest in metric space across the five structural dimensions.
- George Webster ParkNeighbourhood Park38
- Greystone ParkOther37
- Vrandenburgh ParkOther38
- Cosburn ParkNeighbourhood Park35
- Dorset ParkNeighbourhood Park37
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Market Lane ParkUrban Plaza63
- Ryerson Community ParkUrban Plaza60
- Manor Community GreenUrban Plaza57
- Leslie Grove ParkParkette68
- Simcoe ParkTower-Community Green Space51
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 Richview 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.
- 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.