Although cycling is not an inherently unsafe activity, collisions are more frequent than they should be due to lack of cycle infrastructure. Data is from DfT/police STATS19.
Zoom in to see all - while zoomed out only a selection is shown due to the volume.
Issues reported by Cyclescape users, representing problems on the cycle network. These include traffic schemes, planning applications, and more.
New developments have the potential to worsen traffic conditions, but can also bring opportunities to fund infrastructure improvements.
Where are taxis travelling? An experimental layer created at Cambridge Hack Transport (2017).
Traffic count data
This map contains official traffic counts of all main roads in the UK, for each type of vehicle. This is a visualisation of the DfT's AADF (Annual Average Daily Flows) data. Figures are average daily counts.
Based on work originally by Alex Ingram at hfcyclists.
How far do people cycle in an area? We've made available aggregated data from the CycleStreets journey planner, representing real user journey intentions. Bear in mind this is only one data source.
Knowing where you can find cycle parking as a cyclist, especially in cities, is helpful in avoiding theft, as well as helping keeping busy streets tidy.
Bike theft can mean people giving up cycling entirely. Cities are failing to provide secure cycle parking in public and residential areas.
Cycle infrastructure photomap
80,000 cycling-related images of cycling infrastructure, by users.
Strava athelete heatmap
Strava is a website and mobile app used to track athletic activity via GPS. Strava publish a heatmap, showing where there is most activity.
Bear in mind this does not necessarily correlate with utility or commuter cycling.
This layer shows ratings of the cycleability rating of every street and path. Data comes from the CycleStreets routing engine.
This layer shows a calculation of road/path widths. Data is processed by the CyIPT project and comes from DCLG / OS.