How big is Cambridge, really?
The answer depends on where you live and how you choose to travel
A lot of our work at Cambridge Ahead explores how easy it is to travel into and around the Cambridge area. Our research shows that issues
with transport are one of the key factors impacting quality of life locally – the reliability, affordability and accessibility of transport options has a huge impact on our everyday lives, from where we choose to live and work to where we go shopping or how often we see friends. The imperative to travel more sustainably is also an existential one, with transport contributing nearly 40% of greenhouse gas emissions across Cambridgeshire.
It can be tempting to think about transport in terms of distance, but anyone who commutes in Cambridge knows that a mile along Hills Road at rush hour is not the same as a mile around Grantchester. Instead of distance, time can be a much better indicator of the practicality of a particular trip. Understanding Cambridge from the perspective of how long it takes to travel much better reflects how we make decisions in the age of real time data and Google Maps.
These maps are not a perfect reflection of actual journey times (see methodology below), but they can give us some insight into why people make the travel choices they do.
For example, this map shows everywhere within a 35-minute public transport journey (including travel to and between public transport stops/stations) to Cambridge city centre, assuming an arrival time of 9am:
Now compare that to a 35-minute journey to the same location by car:
And now both travel options on the same map with public transport in red and travel by car in blue:
Public Transport Car
These maps suggest that if you rely on public transport to get around, Cambridge is a much smaller place. If you work in the city centre, your options for where to live are much more limited if you travel by public transport compared to car, and your travel choice is also likely to impact a wide range of other aspects of your life, like where you meet friends and family or do your weekly shop.
This remains true for a range of locations around the city region. For example, the map below shows the areas within a 35-minute journey of Cambridge Biomedical Campus by public transport (red) and car (blue):
Public Transport Car
The 2021 Census found that 41% of Cambridge commuters travel by private vehicle, compared to just 9% using public transport, and this split is broadly reflective of previous data. When you look at these maps, it’s clear that driving currently offers you much more choice about where you live, work and spend free time. Cambridge is so much bigger if you travel by car.
Of course, these maps don’t show one significant feature of Cambridge’s transport - the predominance of cycling and walking, facilitated by a growing network of segregated active travel routes. Nearly half of commuters in Cambridge get to work by walking or cycling, and when we consider these modes, we see that active travel opens up a larger area than reliance on public transport alone. Nevertheless, active travel isn’t possible for everyone, and it remains necessary to convert those still using private cars to other less carbon intensive modes, whether it’s walking, cycling or public transport.
This is quite a simplistic analysis, which doesn’t fully take into account other influences on travel behaviour like costs or safety. It also assumes that making public transport faster and more reliable will increase the likelihood of people using it, but research shows that travel behaviours are more complicated than this and influenced by a wide range of different factors.
However, I hope this short analysis does show the scale of the challenge to encourage modal shift in Cambridge – a challenge which will remain significant while Cambridge is so much ‘bigger’ for drivers compared to those using public transport.
Written by Alex Rossiter
Policy Manager, firstname.lastname@example.org
Maps for this blog were created using the TravelTime plugin for QGIS, with an assumed arrival time of 09:00 on a Monday. TravelTime draws data from public transport timetables to produce its models. These also take account of walking times in between public transport stops and arrival/departure windows. Driving times are based on statistical modelling of average driving speeds. These modelling techniques mean that travel time estimations may differ from other platforms and are not able to take account of all scenarios such as cancellations or unexpected delays.
Maps created using QGIS; TravelTime.
Travel maps showing time, known as ‘isochrone maps’, have been used in lots of interesting ways. I took inspiration from the following articles and blogs for this post: