Mclevin Woods Park
Ravine / Naturalized Park, in the top tier overall (score 49, rank ~94th percentile). Strongest: natural comfort; weakest: enclosure.
Photo by Arun Babu (Benny Arun) via Google Places · cached 5/9/2026
Mclevin Woods Park scores 48.6 / 100. Strongest dimensions: natural comfort and edge activation. Weakest: amenity diversity (0). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.
Area · 1.32 ha
Weighted across six dimensions · confidence 61%
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 49 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
- Natural comfort (91) significantly outpaces connectivity (33) — restorative but hard to reach for daily use.
Performance in context
- This park is a strong overperformer for its cohort — raw 49 versus an expected 36 for similar parks (medium Ravine / Naturalized Park ravine) (gap +13).
Typology classification
Classified as Ravine / Naturalized Park: 100% ravine overlap, 100% canopy
Edge Activation
Within 100 m of the park edge: 61 active uses (restaurant, retail, cafe, transit_stop) and 4 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 0 mapped paths/walkways and 6 sidewalk segments within 50 m; 1 street intersections within 100 m; 17 transit stops within a 400 m walk; 0 estimated access points across ~464 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
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: 100.0% estimated tree canopy; 100.0% inside the ravine system; nearest waterbody ~221 m. Reading: ravine-cooled. Source coverage: treed_area, ravine, 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
4 buildings within 25 m of the park edge (0 mid-rise, 4 low-rise, 0 tower); avg edge height 6.6 m (~2 floors); 0.9 buildings per 100 m of 464 m perimeter — thin frontage — significant blank-edge share; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 0 mid-rise edge buildings.
Source: Toronto 3D Massing (building footprints + heights)
Border Vacuum Risk
Park edges face the city — no significant border vacuum detected.
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 (80)
- retail — Rubini's West Indian Grocers29 m
- retail — Nails for You35 m
- restaurant — Indian Tandoory38 m
- restaurant — Subway40 m
- restaurant — Hong Food Kitchen46 m
- retail — All Washed Up47 m
- parking lot51 m
- retail — Home Essentials54 m
- parking lot56 m
- retail — You & Me Fashion56 m
- restaurant — Panda Chinese57 m
- retail — Cut Creators58 m
- retail — Hair Enjoy62 m
- retail — E-games Plus63 m
- retail — John Pomer64 m
- restaurant — Wing Spot65 m
- retail — The Rug Shop66 m
- retail — Cuccina Moda66 m
- retail — Instant Solutions67 m
- retail — Jason Jackson68 m
- retail — Your Dollar Store With More69 m
- retail — Ducati Shoes69 m
- retail — XTC Designs71 m
- retail — Shingaar72 m
- retail — KISS72 m
- retail — Jay's Jewellery72 m
- restaurant — Pizza Hut Express72 m
- retail — Gateway Newstand72 m
- retail — Elite Hair Creations73 m
- retail — In Touch73 m
- retail — Koodo74 m
- retail — It's Italian Fashion74 m
- retail — Kidz 'N' Kidz74 m
- retail — Rizvi Electronics75 m
- retail — I Focus Optical75 m
- retail — Lend Direct76 m
- retail — Scents & Sensibility76 m
- retail — Unlimited Bargains76 m
- retail — Mayar Lingerie77 m
- retail77 m
- retail — Source Clothing78 m
- retail — New Look 4U78 m
- parking lot79 m
- cafe — Real Fruit Bubble Tea81 m
- retail — Torbo Shoes82 m
- retail — Money Mart82 m
- retail — Kin Kin Bakery82 m
- retail — Sashi's83 m
- parking lot85 m
- retail — Value Mobile86 m
- retail — Vitamins Plus86 m
- retail — Steela Shoes87 m
- retail — Society87 m
- retail — Top Ten Fashion87 m
- retail — Luxe Jewellery91 m
- restaurant — Flame Shawarma & Grill93 m
- transit stop — McLevin Avenue94 m
- retail — Circle K94 m
- restaurant — Express Munchies94 m
- retail — Jackie’s Creative Cakes95 m
- retail — Fashion Watches Plus95 m
- retail — Labels96 m
- restaurant — KFC97 m
- retail — Alfa Mobile97 m
- retail — Kashmir Bliss98 m
- retail — Imperial Tailoring102 m
- retail — Family Leather102 m
- restaurant — Taco Bell103 m
- restaurant — 999 Sushi104 m
- restaurant — Pizza Pizza105 m
- retail — Energetic Feet Care107 m
- transit stop — McLevin Avenue107 m
- restaurant — DelecTable113 m
- transit stop — Malvern Town Centre (East Entrance)113 m
- restaurant — Hakka Pavilion115 m
- restaurant — Day’s Kitchen119 m
- retail — Hart Store122 m
- retail — The Best Shop125 m
- parking lot135 m
- cafe — CoCo Fresh Tea & Juice136 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality94th
- Edge activation98th
- Connectivity24th
- Amenity diversity69th
- Natural comfort99th
- Enclosure7th
Most similar parks
Closest in metric space across the five structural dimensions.
- City Wide Open SpaceCorridor / Linear Park50
- Townline Church CemeteryRavine / Naturalized Park49
- Townline Church CemeteryRavine / Naturalized Park49
- City Wide Open SpaceCorridor / Linear Park48
- Nordheimer RavineRavine / Naturalized Park47
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Ramsden ParkRavine / Naturalized Park43
- Withrow ParkNeighbourhood Park50
- Eglinton ParkNeighbourhood Park40
- Allan GardensNeighbourhood Park42
- Jean Sibelius SquareCivic Square46
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.
p14 citywide · p16 within Ravine / Naturalized Park
Source: Google Places API · match high (0.97 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 Mclevin Woods 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.
- 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.
- Encourage mid-rise, windowed frontages around the park so residents have direct sightlines onto it.
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.