Cloverdale Park Tennis Courts
Athletic / Recreation Park, middle of the pack overall (score 31, rank ~35th percentile). Strongest: amenity diversity; weakest: natural comfort.
Cloverdale Park Tennis Courts scores 31 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: edge activation (0). Border-vacuum risk is elevated (48). This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.17 ha
What's here
Weighted across six dimensions · confidence 65%
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 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
Cloverdale Park Tennis Courts works because its amenity diversity score (28) is above average and its enclosure (76) is also top quartile.
What limits this park
Cloverdale Park Tennis Courts is held back by natural comfort (22, bottom quartile): only 0% canopy means little summer shade; border-vacuum risk is also elevated (48).
Most distinctive characteristic
Most distinctive feature: exceptionally low natural comfort (22, bottom quartile).
Jacobs reading
Cloverdale Park Tennis Courts 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 (76) 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 -6; cohort: Athletic / Recreation Park).
Typology classification
Classified as Athletic / Recreation Park: 67% of amenity types are athletic (sports_field, tennis). Secondary read: Urban Plaza (1723 m², paved (0% canopy), 11.4 buildings/100 m).
Edge Activation
Within 100 m of the park edge: 2 active uses (restaurant, retail) and 7 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 8 mapped paths/walkways and 2 sidewalk segments within 50 m; 3 street intersections within 100 m; 18 transit stops within a 400 m walk; 0 estimated access points across ~167 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
3 distinct amenity types in the park (bench, sports_field, tennis). 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: 0.0% estimated tree canopy; nearest waterbody ~1415 m. Reading: exposed. Source coverage: waterbodies. 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
19 buildings within 25 m of the park edge (4 mid-rise, 15 low-rise, 0 tower); avg edge height 6.6 m (~2 floors); 11.4 buildings per 100 m of 167 m perimeter (strong frontage density); edges are low-rise (mostly 2 to 3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 4 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, Toronto Parks, Forestry & Recreation parking, 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 · 8 records)
- bench
- sports field
- tennis
Nearby active-edge features (43)
- parking lot36 m
- parking lot: Toronto Parks, Forestry & Recreation parking40 m
- parking lot50 m
- parking lot50 m
- parking lot75 m
- restaurant: Mekong River80 m
- parking lot82 m
- retail: Wild Birds Unlimited92 m
- parking lot94 m
- highway: Dundas Street West110 m
- parking lot112 m
- transit stop: Dundas Street at Shaver Avenue121 m
- transit stop: Dundas Street At Shaver Avenue124 m
- parking lot126 m
- parking lot131 m
- highway: Dundas Street West133 m
- retail: Circle K136 m
- retail: Vape 100137 m
- retail: WJT Massage138 m
- restaurant: Lonzo’s138 m
- highway: Dundas Street West140 m
- restaurant: Pizzaville141 m
- cafe: Tim Hortons141 m
- parking lot142 m
- parking lot144 m
- parking lot149 m
- restaurant: Armenian Bistro150 m
- restaurant: Swiss Chalet156 m
- parking lot158 m
- retail160 m
- highway: Dundas Street West167 m
- parking lot170 m
- transit stop: Dundas Street West171 m
- parking lot171 m
- highway: Dundas Street West173 m
- transit stop: Dundas Street at Shorncliffe Road178 m
- transit stop: Dundas Street At Shorncliffe Road184 m
- cafe: Gong Cha194 m
- retail: Emmetts Toy Stop & Hobby Shop196 m
- transit stop198 m
- restaurant: Shawarma Royale199 m
- parking lot199 m
- transit stop: Dundas Street At Wilmar Road200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality35th
- Edge activation57th
- Connectivity51th
- Amenity diversity84th
- Natural comfort1th
- Enclosure79th
Most similar parks
Closest in metric space across the five structural dimensions.
- Market Garden MewsUrban Plaza36
- JENNER JEAN-MARIE COMMUNITY CENTRE - Building GroundsUrban Plaza28
- TERRY FOX RECREATION CENTRE - Building GroundsAthletic / Recreation Park30
- Bathurst - Wilson ParketteParkette28
- Grattan ParkUrban Plaza36
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Mclevin Woods ParkRavine / Naturalized Park49
- Kew GardensNeighbourhood Park75
- Toronto ZooWaterfront Park67
- Trca Lands ( 26)Ravine / Naturalized Park27
- Leslie Grove ParkParkette73
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 Cloverdale Park Tennis Courtsmatters. 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.
- Add or open more entrances and improve sidewalk continuity around the park. More permeability means more spontaneous use.
- 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.