UCL CASA · URBAN DATA VISUALISATION · 2026
Investigating how transport connectivity shapes secondary school choice and access to opportunities across London.
Motivation
Every morning, close to 600,000 children travel to secondary schools across London.
Most students can reasonably access a secondary school near home.
However, not all schools offer the same opportunities.
In reality, access to choice schools (and better opportunities) often depends on connectivity — where you live shapes what you can reach.
Photo: Hounslow Council Images
01 — Context
Mapped across the city, these schools appear to be broadly distributed. But this distribution tells only part of the story.
Each dot represents a school. However, what it cannot show is the quality of education of the school, its admissions policy, or how long it takes a child in any given neighbourhood to reach it.
02 — Connectivity
A child living in inner London — like Clapham North in Lambeth — can reach up to 96 schools within a 45-minute transit journey. Multiple tube lines and bus corridors fan outward in every direction.
02 — Connectivity
In a bus-only outer London neighbourhood — like Harold Hill in Havering — that same 45-minute window reaches just 7 schools. The transit network simply does not extend here with the same density.
03 — What we explore
Travel to school
Understanding how children travel, and the barriers they face, sets the context for examining whether all children can realistically exercise school choice.
London has the highest rate in England — illustrating willingness to travel for opportunity. But how many children actually have the means to do so?
Access to opportunity
We layer Progress 8 scores and Ofsted ratings onto the accessibility analysis — and find that filtering for quality significantly extends the journeys many children must make.
Photo: Gary John Norman / GettyImages
01 — Baseline Access
The map shows travel time from each LSOA to its nearest secondary school.
Dots mark every secondary school in London.
The map's color intensity provides a sense of travel time via transit (i.e. bus & rail).
02 — Quality Access
Once we filter for non-selective, high progress schools, median travel time rises — because fewer schools qualify and they are not evenly distributed across the city.
Highlighted dots show qualifying schools for the selected metric:
Top 25% Progress 8 scores and Ofsted Outstanding ratings.
03 — Mode comparison
Select a school type and travel mode to update the choropleth.
Each combination reveals a different dimension of potential access inequality.
04 — Borough summary
Median travel time to nearest Top 25% P8 school · by borough
Pockets of vulnerability
Using spatial clustering methods , we identify neighbourhoods where high transit times to Progress 8 schools coincide with elevated child deprivation — compounding barriers to opportunity.
Photo: Matt Cardy/Getty Images
01 — Spatial clustering
In outer London — east, north-east, and north-west — children face
both high transit times and high deprivation
, a double penalty where geography compounds disadvantage.
In contrast, west and south-west London shows
short commutes with low deprivation
reinforcing one another — families live on the doorstep of the city's best
schools, underwritten by suburban affluence and car ownership.
Most strikingly in inner east London, we unexpectedly find
fast access and high deprivation.
If students here are still falling behind, the barrier likely isn't transport —
it's likely social, administrative, or admission-based.
02 — Cluster Deep Dive
Toggle the buttons below to explore how many children live in each cluster and to compare access to quality schools across clusters.
Each square ≈ 1% of all London 11–16 children
03 — Income Context
On average, households in areas with High Transit Times and High Deprivation earn 25% less than the median London household.
Median annual household income after housing costs, aggregated by LISA cluster.
This material difference affects families' ability to manage longer commutes. Lower-income households are less able to rely on private transport or widen their school choices, making them more dependent on public transit.
These children face a compounded challenge: longer travel times combined with fewer resources to mitigate them.
04 — Borough patterns
Enfield, Newham and Tower Hamlets contain the highest shares of such LSOAs.
% of LSOAs in Borough with High Transit Times & High Deprivation (Descending)
Place-specific policy response needed
Outer London: Improve bus networks to affected areas
Inner London: Targeted support to improve access to quality schools
Reflections
Image credits: Gary John Norman / Getty Images · Bruno Figueiredo / Unsplash · Nick David / Getty Images
About
Acknowledgements
Pathways to Progress was developed as part of UCL CASA's MSc in Urban Spatial Science module on Urban Data Visualisation, led by Prof Duncan Smith. The 2026 theme is "Urban Analytics".
We thank Prof Duncan Smith and our PGTA Kayla McInnis for their valuable guidance and input, and extend special acknowledgment to Prof Adam Dennett for his wisdom and insights on the challenges facing secondary schools in London.
Data sources
For more details on the metadata for the schools database, please click here.
Our team