Rennie Park
Waterfront Park, in the top tier overall (score 44, rank ~88th percentile). Strongest: connectivity; weakest: edge activation.
Photo by arturoAlejandro flores paredes via Google Places · cached 5/9/2026
Rennie Park scores 44.1 / 100. Strongest dimensions: natural comfort and connectivity. Weakest: edge activation (0). Border-vacuum risk is elevated (84). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 9.96 ha
Weighted across six dimensions · confidence 72%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Street context
Park polygon highlighted on the citywide map. Connectivity, transit, and edge conditions read at a glance.
Top-down view
City of Toronto orthophoto, ~8 cm/px. Reads the park’s footprint, paths, treed area, and edge conditions from above.
City of Toronto Orthophoto · cot_ortho most-current MapServer
Explain this score
Where did the 44 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 (75) but the surrounding streets are quiet (edge activation 0) — frame without animation.
- High connectivity coexists with high border-vacuum risk (84) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
- Strong physical conditions (score 44) but weak observed activity signals (10) — the model says this should work, but events, mentions, and counters say it isn't being used at the level the urban form would predict.
- High connectivity (80) coexists with little programming evidence — easy to reach, but no recurring civic life detected.
Performance in context
- A modest overperformer for its waterfront park typology (+7 vs the median in large Waterfront Park waterfront).
Typology classification
Classified as Waterfront Park: 25% water surface inside park. Secondary read: Ravine / Naturalized Park (100% ravine overlap, 47% canopy).
Edge Activation
Within 100 m of the park edge: 7 active uses (transit_stop) and 12 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 20 mapped paths/walkways and 69 sidewalk segments within 50 m; 30 street intersections within 100 m; 31 transit stops within a 400 m walk; 20 estimated access points across ~2,923 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
4 distinct amenity types in the park (picnic, playground, tennis, washroom). 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: 47.3% estimated tree canopy; 100.0% inside the ravine system; 24.5% water surface; 147 city-mapped trees inside the polygon (14.8/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
310 buildings within 25 m of the park edge (47 mid-rise, 263 low-rise, 0 tower); avg edge height 7.0 m (~2 floors); 10.6 buildings per 100 m of 2,923 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 47 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, 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 (4 types · 4 records)
- picnic
- playground
- tennis
- washroom
Nearby active-edge features (34)
- parking lot3 m
- transit stop — 44 Coe Hill Dr16 m
- parking lot16 m
- parking lot17 m
- transit stop — Runnymede Rd at Morningside Ave17 m
- parking lot17 m
- parking lot24 m
- parking lot29 m
- transit stop — Windermere Ave at Saint Olaves Rd41 m
- parking lot46 m
- transit stop — Runnymede Rd at Morningside Ave49 m
- transit stop — Windermere Ave at Saint Olaves Rd54 m
- parking lot55 m
- parking lot69 m
- parking lot71 m
- parking lot72 m
- parking lot78 m
- transit stop — 80 Coe Hill Dr97 m
- transit stop — Windermere Ave at Coe Hill Dr99 m
- transit stop — Budgell Terrace106 m
- parking lot115 m
- parking lot116 m
- transit stop — Coe Hill Dr at The Queensway134 m
- transit stop — Ellis Avenue134 m
- transit stop — Lavinia Ave136 m
- parking lot140 m
- transit stop — Ellis Avenue145 m
- parking lot152 m
- community — Swansea Community Recreation Centre160 m
- transit stop — 89 Windermere Ave170 m
- transit stop — Ellis Avenue174 m
- transit stop — Windermere Avenue183 m
- transit stop — Windermere Avenue189 m
- transit stop — Ellis Avenue196 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality88th
- Edge activation59th
- Connectivity98th
- Amenity diversity98th
- Natural comfort92th
- Enclosure76th
Most similar parks
Closest in metric space across the five structural dimensions.
- Cruickshank ParkWaterfront Park38
- L'Amoreaux North ParkWaterfront Park44
- G. Ross Lord ParkWaterfront Park39
- Earl Bales ParkRavine / Naturalized Park41
- Lawrence Park RavineRavine / Naturalized Park41
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Queen'S Quay Traffic IslandWaterfront Park49
- Joseph Burr Tyrrell ParkUrban Plaza50
- Rouge ParkRavine / Naturalized Park18
- Trca Lands ( 58)Waterfront Park18
- Danforth Gardens ParkParkette42
Visitor signals
Public attention measured by Google Places aggregates. This proxies attention, not occupancy. Aggregate-only — no usernames, no review text, no extra photos beyond the cached hero.
“A 24-acre park with an ice rink, wading pool, tennis courts, playground, picnic shelter & ponds.” — Google editorial summary
p78 citywide · p79 within Waterfront Park
Source: Google Places API · match high (0.99 composite confidence) · last refreshed 5/9/2026. Privacy contract. Measures public attention, not occupancy.
Human activity signals
Programming, social attention, temporal rhythm, and nearby pedestrian / cycling flow. An experimental aggregate layer that complements the spatial scores — partial coverage, partial confidence.
Activity reading: no inputs available. The strongest signal is public attention / mentions. Source coverage: google-places.
Does this score feel accurate?
Your read of Rennie 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.
- 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.