diff --git a/posts/spatial-access-to-public-libraries-toronto/+page.svelte b/posts/spatial-access-to-public-libraries-toronto/+page.svelte index c8f5b13..1581214 100644 --- a/posts/spatial-access-to-public-libraries-toronto/+page.svelte +++ b/posts/spatial-access-to-public-libraries-toronto/+page.svelte @@ -33,7 +33,7 @@

People who live closer to a library tend to visit it more often, borrow more resources, - and access its social services more easily. We mapped how long it takes to reach the nearest public library from any location in Toronto, on foot and by public transit. + and access its social services more easily. We mapped how long it takes to reach the nearest public library from any location in Toronto, on foot, and by public transit.

On foot, 35% of Torontonians can reach the nearest library within 15 minutes and 79% within 30 minutes; by transit, those shares rise to about 40% and 95%. The areas least connected to libraries are inner-suburban neighbourhoods, which have fewer libraries and lower population density. @@ -47,7 +47,7 @@

- According to research conducted in other urban areas, accessibility to libraries varies across travel modes and population groups. With public libraries offering programming for such target populations as recent immigrants, youth, and seniors, it is crucial to account for differences in library access across demographic groups. Using census data, we mapped where these groups are concentrated across Toronto in relation to the locations of library branches. + According to research conducted in other urban areas, accessibility to libraries varies across travel modes and population groups. With public libraries offering programming for such target populations as recent immigrants, youth, and seniors, it is crucial to account for differences in library access across demographic groups. Using census data, we mapped where these groups are concentrated across Toronto in relation to the locations of public libraries.

If you want to explore demographic data against the transit travel data, including at a more zoomed-in neighbourhood level, you can refer to our interactive tool. @@ -73,12 +73,12 @@

-
+

Methods and data

- We overlaid a grid of 200-metre hexagons on Toronto and calculated the travel time from each hexagon to the nearest library branch. + We overlaid a grid of 200-metre hexagons on Toronto and calculated the travel time from each hexagon to the nearest public library. Travel times were computed with the r5py Python library, using OpenStreetMap's pedestrian network and TTC transit schedules, so they follow realistic routes rather than straight-line distance. We modelled two scenarios: walking only, and walking plus public transit. For transit, we computed the minimum travel time for a late-morning departure window on a Tuesday (a typical weekday) and on a Saturday. Because the weekday and Saturday results were very similar, the maps on this page combine them into a single transit measure. The separate Tuesday and Saturday isochrones can be explored on the interactive web map.

@@ -95,7 +95,7 @@

- Travel times are computed from hexagon centroids, so results may be sensitive to the choice of grid size and placement. Additionally, we only measured travel time to Toronto Public Library branches. It is possible that Torontonians near the city boundary have close access to a library in a neighbouring municipality, which could decrease the differences in travel times established in this project. + Travel times are computed from hexagon centroids, so results may be sensitive to the choice of grid size and placement. Additionally, we only measured travel time to Toronto Public Library (TPL) locations. It is possible that Torontonians near the city boundary have close access to a library in a neighbouring municipality, which could decrease the differences in travel times established in this project.

@@ -103,7 +103,7 @@

- The analysis measures geographic accessibility based on transportation network datasets, not library services availability. The departure windows were chosen to fall within typical TPL operating hours on both a weekday and a Saturday, but individual branch hours vary and aren't accounted for. We also did not account for the types of services each branch provides, and therefore the population groups it may attract. Filtering through libraries with programming catered to a specific group's needs could give a more nuanced insight into library services access for the target demographic groups. + The analysis measures geographic accessibility based on transportation network datasets, not library services availability. The departure windows were chosen to fall within typical TPL operating hours on both a weekday and a Saturday, but individual branch hours vary and aren't accounted for. We also did not account for the types of services each location provides, and therefore the population groups it may attract. Filtering through libraries with programming catered to a specific group's needs could give a more nuanced insight into library services access for the target demographic groups.

diff --git a/posts/spatial-access-to-public-libraries-toronto/charts.js b/posts/spatial-access-to-public-libraries-toronto/charts.js index 9f57cce..a12bae3 100644 --- a/posts/spatial-access-to-public-libraries-toronto/charts.js +++ b/posts/spatial-access-to-public-libraries-toronto/charts.js @@ -26,10 +26,10 @@ const charts = { 'demographics-grid': { title: "Six population groups, mapped relative to library locations", subtitle: - "Share of each census tract's population, with public library branches marked on every map", + "Share of each census tract's population, with public library locations marked on every map", source: 'Census of Population, Statistics Canada (2021); Toronto Public Library', alt: - "Six small maps of Toronto, each showing one population group's share of every census tract, with library branches marked: visible minority, low income, recent immigrants, first-generation immigrants, seniors, and children. Where each group is concentrated differs, but all are least present in the central corridor from downtown to the east end.", + "Six small maps of Toronto, each showing one population group's share of every census tract, with library locations marked: visible minority, low income, recent immigrants, first-generation immigrants, seniors, and children. Where each group is concentrated differs, but all are least present in the central corridor from downtown to the east end.", widths: [360, 720, 1080], graphicVerb: 'created' }, @@ -39,6 +39,7 @@ const charts = { source: 'Census of Population, Statistics Canada (2021); Toronto Public Library, City of Toronto, Toronto Transit Commission, OpenStreetMap (2026)', alt: "Box plots of travel time to the nearest library for the total population and six demographic groups, in one panel for walking and one for public transit. Within each panel the rows are nearly identical, with every group's median within about a minute of the total population's.", + note: 'Travel times are in decimal minutes (0.1 minute = 6 seconds).', data: 'travel_time_percentiles.csv', widths: [360, 720], graphicVerb: 'created' diff --git a/posts/spatial-access-to-public-libraries-toronto/charts/travel-time-boxplot.svelte b/posts/spatial-access-to-public-libraries-toronto/charts/travel-time-boxplot.svelte index d94a83b..2bcc31a 100644 --- a/posts/spatial-access-to-public-libraries-toronto/charts/travel-time-boxplot.svelte +++ b/posts/spatial-access-to-public-libraries-toronto/charts/travel-time-boxplot.svelte @@ -241,8 +241,7 @@ {#snippet panelBlock(panel, panelStyle, svgStyle, ticksList, layout)}
- Median travel time by {panel.modeText} to the nearest library - (decimal time, where 0.1 min = 6 seconds) + Median travel time by {panel.modeText} to the nearest library (minutes)