Richview Park
Neighbourhood Park, below average overall (score 29, rank ~27th percentile). Strongest: amenity diversity; weakest: natural comfort.
Aerial, City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Richview Park scores 29.4 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is elevated (100). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 12.12 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.Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 29 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
Richview Park works because its amenity diversity score (28) is above average and its connectivity (59) is also top quartile.
What limits this park
Richview Park is held back by natural comfort (37, below-average): only 2% canopy means little summer shade; border-vacuum risk is also elevated (100).
Most distinctive characteristic
Most distinctive feature: exceptionally high amenity diversity (28, top quartile).
Jacobs reading
Richview Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Tradeoffs
- The park is enclosed by buildings (64) but the surrounding streets are quiet (edge activation 0): frame without animation.
Performance in context
- Reads as a modest underperformer relative to comparable parks (gap -10; cohort: large Neighbourhood Park).
Typology classification
Classified as Neighbourhood Park: 12.1 ha, framed by 9 mid-rise vs 3 towers
Edge Activation
Within 100 m of the park edge: 8 active uses (transit_stop) and 14 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 3 mapped paths/walkways and 29 sidewalk segments within 50 m; 9 street intersections within 100 m; 20 transit stops within a 400 m walk; 1 estimated access points across ~1,936 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
3 distinct amenity types in the park (playground, sports_field, bench). 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: 2.0% estimated tree canopy; nearest waterbody ~775 m; 10 city-mapped trees inside the polygon (0.8/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
70 buildings within 25 m of the park edge (9 mid-rise, 58 low-rise, 3 tower); avg edge height 7.8 m (~3 floors); 3.6 buildings per 100 m of 1,936 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); 3 towers ≥ 40 m within 25 m of the edge. "Eyes on the park" come strongest from the 9 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Border-vacuum factors within 50 m of the park: Eglinton Avenue West, Eglinton Avenue West, parking_lot, parking_lot, Eglinton Avenue West, parking_lot, parking_lot, Eglinton Avenue West, Eglinton Avenue West, parking_lot, parking_lot, 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: 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 (3 types · 23 records)
- playground
- sports field
- bench
Nearby active-edge features (42)
- parking lot0 m
- parking lot0 m
- transit stop: Martin Grove Road1 m
- transit stop: North side stop - Eglinton Avenue West1 m
- transit stop: Richgrove Drive5 m
- parking lot11 m
- parking lot14 m
- highway: Eglinton Avenue West15 m
- highway: Eglinton Avenue West16 m
- highway: Eglinton Avenue West20 m
- parking lot20 m
- highway: Eglinton Avenue West22 m
- highway: Eglinton Avenue West29 m
- parking lot32 m
- transit stop: Martin Grove Rd at Eglinton Avenue West33 m
- transit stop: Martin Grove Rd at Richgrove Dr35 m
- transit stop: Martin Grove Road37 m
- parking lot40 m
- transit stop: South side stop - Eglinton Avenue West59 m
- transit stop67 m
- parking lot93 m
- highway: Eglinton Avenue West94 m
- parking lot113 m
- parking lot115 m
- parking lot121 m
- parking lot127 m
- highway: Eglinton Avenue West129 m
- parking lot130 m
- parking lot132 m
- parking lot137 m
- parking lot137 m
- transit stop: Widdicombe Hill Boulevard160 m
- parking lot164 m
- transit stop: Lloyd Manor Road168 m
- highway: Eglinton Avenue West171 m
- highway: Eglinton Avenue West171 m
- transit stop: 63 Widdicombe Hill Blvd (Huntingwood Place)174 m
- transit stop: Sedgeley Drive177 m
- parking lot177 m
- parking lot179 m
- parking lot181 m
- cafe: Tim Hortons189 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality27th
- Edge activation44th
- Connectivity76th
- Amenity diversity82th
- Natural comfort28th
- Enclosure57th
Most similar parks
Closest in metric space across the five structural dimensions.
- Bamburgh ParkOther38
- MEADOWVALE PUBLIC SCHOOL - Building GroundsNeighbourhood Park36
- Len Braithwaite ParkNeighbourhood Park40
- Corvette ParkNeighbourhood Park36
- WEST ROUGE ELEMENTARY SCHOOL - Building GroundsAthletic / Recreation Park37
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Arnell PlazaCivic Square50
- Leslie Grove ParkParkette73
- Market Lane ParkUrban Plaza67
- Kew GardensNeighbourhood Park75
- Shaw ParkParkette69
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. 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.