Monsignor Fraser College Park
Urban Plaza, in the top tier overall (score 47, rank ~90th percentile). Strongest: enclosure; weakest: natural comfort.
Monsignor Fraser College Park scores 46.8 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (21). Border-vacuum risk is low. This score is a transparent reading of Jane Jacobs-style vitality factors, not a definitive judgment.
Area · 0.28 ha
What's here
Weighted across six dimensions · confidence 66%
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 47 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
Monsignor Fraser College Park works because its enclosure score (90) is one of the city's strongest and its edge activation (33) is also top quartile (27 mid-rise buildings frame the edge with passive surveillance).
What limits this park
.
Most distinctive characteristic
Most distinctive feature: exceptionally high enclosure (90, top decile).
Jacobs reading
Monsignor Fraser College Park sits between an urban social park and an ecological retreat: moderately useful for both, exceptionally suited to neither.
Performance in context
- A modest overperformer for its urban plaza typology (+5 vs the median in small Urban Plaza).
Typology classification
Classified as Urban Plaza: 2798 m², paved (0% canopy), 39.7 buildings/100 m
Edge Activation
Within 100 m of the park edge: 8 active uses (cafe, retail, restaurant) and 3 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 12 sidewalk segments within 50 m; 11 street intersections within 100 m; 18 transit stops within a 400 m walk; 0 estimated access points across ~232 m of perimeter. edge density is healthy, no superblock penalty. Source coverage: centreline, pedestrian_network, transit_osm.
Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops
Amenity Diversity
2 distinct amenity types in the park (bench, picnic). 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: ~11.2% effective canopy (0.0% from contiguous tree polygons + scattered tree density); nearest waterbody ~1267 m; 16 city-mapped trees inside the polygon (16.0/ha). Reading: exposed. Source coverage: 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
92 buildings within 25 m of the park edge (27 mid-rise, 65 low-rise, 0 tower); avg edge height 8.5 m (~3 floors); 39.7 buildings per 100 m of 232 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 27 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. 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 (2 types · 2 records)
- bench
- picnic
Nearby active-edge features (77)
- parking lot16 m
- parking lot43 m
- parking lot63 m
- restaurant: Smart & Morris Jamaican Takeout90 m
- retail: Lloyd's Barber Shop91 m
- retail: Nella Cucina92 m
- retail: Spanish Book Store94 m
- retail: Simcoe94 m
- retail: World Wide Cosmetic Centre94 m
- restaurant: PreGame96 m
- cafe: Emily Rose Cafe97 m
- parking lot114 m
- transit stop: Markham Street119 m
- retail: Stanley's Variety and Grocery135 m
- restaurant: Pizzaville141 m
- transit stop: Bathurst145 m
- transit stop: Bathurst Station146 m
- transit stop: Bathurst148 m
- retail: Canadian Centre For Language And Cultural Studies149 m
- rail: Line 2 Bloor-Danforth150 m
- transit stop152 m
- transit stop: Barton Avenue152 m
- rail: Line 2 Bloor-Danforth153 m
- transit stop: Bathurst Street155 m
- transit stop: Barton Avenue156 m
- retail: Pelo Salon159 m
- retail161 m
- transit stop: Bathurst Station164 m
- restaurant: Arisu165 m
- restaurant: Kimchi House166 m
- retail: Aroma Waxing Clinic166 m
- retail: Real Nails Spa166 m
- restaurant: Sammie's166 m
- retail: Trendy Laundromat & Dry Cleaners166 m
- cafe: Snakes & Lattes167 m
- retail: Rogers/Fido167 m
- retail: Village Market168 m
- restaurant: Namaste Indian Cuisine169 m
- restaurant: CODA170 m
- retail: Gold Leaf Fruit Market172 m
- retail: Qi Natural174 m
- transit stop174 m
- retail176 m
- cafe: Jjin Toast177 m
- highway: Bloor Street West178 m
- retail178 m
- restaurant: Yupdduk179 m
- highway: Bloor Street West180 m
- highway: Bloor Street West180 m
- retail: Price War182 m
- retail182 m
- restaurant: Pizzeria Forno183 m
- retail: Juxtapose Home184 m
- highway: Bloor Street West184 m
- retail: Secrets From Your Sister185 m
- retail: Kimkor187 m
- retail: Sis Hair & Beauty188 m
- restaurant: Pizza Pizza189 m
- highway: Bloor Street West189 m
- restaurant: Kimsoonrye Soonsal Chicken190 m
- retail: Sunny Health Spa190 m
- retail: Touchbaes191 m
- restaurant: Her Chef191 m
- cafe: Rustle & Still191 m
- restaurant: Hancook Cheese Dakgalbi191 m
- retail: Ed's Mercantile192 m
- retail: Duck Duck Games & Collectibles192 m
- retail: Photoism192 m
- highway: Bloor Street West193 m
- cafe: Isabella's Mochi Donut193 m
- parking lot193 m
- retail: Mr. Nonno Barber Shop194 m
- highway: Bloor Street West194 m
- retail: Tibetan Paper & Handicraft194 m
- retail: H2GOA196 m
- parking lot199 m
- retail200 m
Park profile
Five-axis radar across the structural dimensions.
Citywide percentile ranks
Across all Toronto parks in the dataset.
- Overall vitality90th
- Edge activation89th
- Connectivity70th
- Amenity diversity77th
- Natural comfort43th
- Enclosure96th
Most similar parks
Closest in metric space across the five structural dimensions.
- Joseph Workman ParkUrban Plaza49
- Jeff Sloan PlaygroundUrban Plaza46
- Bennett ParkUrban Plaza44
- Dane ParketteNeighbourhood Park50
- Mount Pleasant ParketteUrban Plaza45
Most opposite parks
Furthest in metric space. Useful for recognising what kind of park this isn’t.
- Toronto Islands - Muggs Island ParkRavine / Naturalized Park25
- Trca Lands ( 26)Ravine / Naturalized Park27
- Rouge ParkWaterfront Park25
- Rouge ParkRavine / Naturalized Park28
- Rouge ParkRavine / Naturalized Park21
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 Monsignor Fraser College 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.
- Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
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.