Budapest Park
Waterfront Park, middle of the pack overall (score 30, rank ~31th percentile). Strongest: connectivity; weakest: enclosure.
Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026
Budapest Park scores 30 / 100. Strongest dimensions: connectivity and natural comfort. 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 · 6.33 ha
Weighted across six dimensions · confidence 70%
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
Explain this score
Where did the 30 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
- High connectivity coexists with high border-vacuum risk (100) — much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
Performance in context
- Reads as a modest underperformer relative to comparable parks (gap -7; cohort: large Waterfront Park waterfront).
Typology classification
Classified as Waterfront Park: 5% water surface inside park. Secondary read: Corridor / Linear Park (shape elongation 2.3× a circle of equal area).
Edge Activation
Within 100 m of the park edge: 1 active uses (restaurant) and 23 dead/hostile uses (highway, parking_lot, rail). 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 26 mapped paths/walkways and 36 sidewalk segments within 50 m; 12 street intersections within 100 m; 22 transit stops within a 400 m walk; 12 estimated access points across ~2,035 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 (fitness, playground, 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: ~12.8% effective canopy (0.9% from contiguous tree polygons + scattered tree density); 8.7% inside the ravine system; 5.2% water surface; 116 city-mapped trees inside the polygon (18.3/ha). Reading: water-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
5 buildings within 25 m of the park edge (0 mid-rise, 5 low-rise, 0 tower); avg edge height 5.2 m (~2 floors); 0.2 buildings per 100 m of 2,035 m perimeter — thin frontage — significant blank-edge share; edges are barely there or single-storey; 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
Border-vacuum factors within 50 m of the park: Lake Shore Boulevard West, parking_lot, Gardiner Expressway, parking_lot, Lake Shore Boulevard West, Lake Shore Boulevard West, Palais Royale Guest Parking, Palais Royale Guest Parking, parking_lot, Lake Shore Boulevard West, Lake Shore Boulevard West, Gardiner Expressway, Lake Shore Boulevard West, Lake Shore Boulevard West. 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 (3 types · 3 records)
- fitness
- playground
- washroom
Nearby active-edge features (45)
- parking lot0 m
- restaurant — Fruit & Bean Co.0 m
- highway — Gardiner Expressway0 m
- highway — Lake Shore Boulevard West0 m
- highway — Gardiner Expressway0 m
- highway — Lake Shore Boulevard West1 m
- highway — Lake Shore Boulevard West8 m
- highway — Lake Shore Boulevard West9 m
- highway — Lake Shore Boulevard West14 m
- parking lot17 m
- highway — Lake Shore Boulevard West20 m
- highway — Lake Shore Boulevard West27 m
- parking lot — Palais Royale Guest Parking39 m
- parking lot — Palais Royale Guest Parking41 m
- parking lot47 m
- highway — Lake Shore Boulevard West61 m
- highway — Lake Shore Boulevard West64 m
- rail — Oakville Subdivision72 m
- rail — Oakville Subdivision75 m
- highway — Lake Shore Boulevard West76 m
- highway — Lake Shore Boulevard West78 m
- rail — Oakville Subdivision79 m
- rail — Oakville Subdivision82 m
- highway — Lake Shore Boulevard West85 m
- highway — Gardiner Expressway114 m
- highway — Gardiner Expressway131 m
- transit stop — Wilson Park Road135 m
- transit stop — Wilson Park Road136 m
- rail — Oakville Subdivision154 m
- rail — Oakville Subdivision158 m
- rail — Oakville Subdivision162 m
- rail — Oakville Subdivision166 m
- transit stop — Queen Street West169 m
- parking lot171 m
- parking lot171 m
- highway — Lake Shore Boulevard West182 m
- transit stop — Glendale Avenue182 m
- restaurant — Roja’s Kitchen186 m
- parking lot189 m
- parking lot191 m
- restaurant — Easy Restaurant192 m
- parking lot194 m
- retail — The Picture Frame Factory194 m
- transit stop — Glendale Avenue200 m
- retail — Sam The Chandelier Man200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality31th
- Edge activation42th
- Connectivity93th
- Amenity diversity92th
- Natural comfort62th
- Enclosure2th
Most similar parks
Closest in metric space across the five structural dimensions.
- Sir Casimir Gzowski ParkWaterfront Park33
- Cherry Beach Sports FieldsWaterfront Park35
- Lakeshore Boulevard ParklandsCorridor / Linear Park28
- Humber Bay Park WestWaterfront Park27
- Bluffer'S ParkRavine / Naturalized Park31
Most opposite parks
Furthest in metric space — useful for recognising what kind of park this isn’t.
- Joseph Burr Tyrrell ParkUrban Plaza50
- Bernard Avenue Road AllowanceUrban Plaza54
- Market Lane ParkUrban Plaza63
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Ryerson Community ParkUrban Plaza60
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 Budapest 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.
- Encourage mid-rise, windowed frontages around the park so residents have direct sightlines onto it.
- 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.