Budapest Park
Waterfront Park, middle of the pack overall (score 35, rank ~52th percentile). Strongest: amenity diversity; weakest: enclosure.
Photo by Svnzo, CC BY-SA 4.0 via Wikimedia Commons
Budapest Park scores 34.7 / 100. Strongest dimensions: connectivity and amenity diversity. 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 · 6.18 ha
What's here
Getting around
1.7 km of mapped path, 100% paved.
No steps mapped on the path network.
Typically 20 m to the nearest bench, and 59 m at the far end.
Parking inside the park. None of the 6 nearby lots records whether it has accessible spaces.
Path, seating and parking data comes from OpenStreetMap and reflects what volunteers have mapped, not a survey. Absence here means nobody has recorded it. This section does not assess wheelchair access: the relevant OpenStreetMap tag is present on well under 1% of Toronto paths.
Weighted across six dimensions · confidence 70%
Data confidence: moderate
Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.
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Boundary: OpenStreetMap contributors (ODbL).
Explain this score
Where did the 35 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
Budapest Park works because its amenity diversity score (52) is one of the city's strongest and its connectivity (72) is also top decile (9 distinct amenity types support different kinds of use).
What limits this park
Budapest Park is held back by enclosure (23, bottom quartile): no mid-rise frontage to provide eyes on the park; border-vacuum risk is also elevated (100).
Most distinctive characteristic
Most distinctive feature: exceptionally low enclosure (23, bottom quartile).
Jacobs reading
Budapest Park is currently underperforming on both axes: neither integrated into the city nor offering deep natural respite. A candidate for design intervention.
Tradeoffs
- High connectivity coexists with high border-vacuum risk (100): much of that connectivity is to highways, rail, or parking lots, not to neighbourhoods.
Typology classification
Classified as Waterfront Park: 6% water surface inside park
Edge Activation
Within 100 m of the park edge: 1 active uses (restaurant) and 17 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 22 mapped paths/walkways and 28 sidewalk segments within 50 m; 12 street intersections within 100 m; 20 transit stops within a 400 m walk; 9 estimated access points across ~1,519 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
9 distinct amenity types in the park (fitness, playground, washroom, art, bench, drinking_water, …). 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: ~13.0% effective canopy (0.5% from contiguous tree polygons + scattered tree density); 7.7% inside the ravine system; 6.2% water surface; 115 city-mapped trees inside the polygon (18.6/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
4 buildings within 25 m of the park edge (0 mid-rise, 4 low-rise, 0 tower); avg edge height 4.4 m (~1 floors); 0.3 buildings per 100 m of 1,519 m perimeter (thin frontage with 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, Lake Shore Boulevard West, Palais Royale Guest Parking, Palais Royale Guest Parking, Lake Shore Boulevard West, Lake Shore Boulevard West, Gardiner Expressway, Lake Shore Boulevard West. 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 (9 types · 60 records)
- fitness
- playground
- washroom
- art
- bench
- drinking water
- garden
- picnic
- pool
Nearby active-edge features (36)
- highway: Lake Shore Boulevard West0 m
- parking lot0 m
- restaurant: Fruit & Bean Co.0 m
- highway: Gardiner Expressway0 m
- highway: Gardiner Expressway0 m
- highway: Lake Shore Boulevard West7 m
- highway: Lake Shore Boulevard West8 m
- highway: Lake Shore Boulevard West37 m
- parking lot: Palais Royale Guest Parking37 m
- parking lot: Palais Royale Guest Parking39 m
- highway: Lake Shore Boulevard West43 m
- highway: Lake Shore Boulevard West63 m
- rail: Oakville Subdivision67 m
- rail: Oakville Subdivision71 m
- rail: Oakville Subdivision75 m
- highway75 m
- highway: Lake Shore Boulevard West77 m
- rail: Oakville Subdivision79 m
- highway: Lake Shore Boulevard West103 m
- parking lot118 m
- highway: Gardiner Expressway121 m
- highway: Gardiner Expressway137 m
- rail: Oakville Subdivision160 m
- rail: Oakville Subdivision164 m
- transit stop: Queen Street West167 m
- rail: Oakville Subdivision168 m
- parking lot169 m
- rail: Oakville Subdivision173 m
- transit stop: Glendale Avenue181 m
- restaurant: La Barbacha/Roja’s Kitchen185 m
- restaurant: Easy Restaurant191 m
- parking lot193 m
- retail: The Picture Frame Factory193 m
- retail: Sam The Chandelier Man199 m
- transit stop: Glendale Avenue199 m
- highway: Lake Shore Boulevard West199 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality52th
- Edge activation36th
- Connectivity94th
- Amenity diversity98th
- Natural comfort66th
- Enclosure1th
Most similar parks
Closest in metric space across the five structural dimensions.
- Marilyn Bell ParkCorridor / Linear Park35
- Sir Casimir Gzowski ParkWaterfront Park34
- Lakeshore Boulevard ParklandsCorridor / Linear Park34
- TORONTO TRACK AND FIELD CENTRE - Building GroundsDestination Park33
- Humber Bay Park WestCorridor / Linear Park31
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- ALEX WILSON COMMUNITY GARDEN - Open Green SpaceUrban Plaza59
- Bernard Avenue Road AllowanceUrban Plaza57
- Arnell PlazaCivic Square50
- Ryerson Community ParkUrban Plaza62
- Lillian H. Smith ParkUrban Plaza47
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 Park matters. 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.
- 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. 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.