Collisions
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, from 2005-2019. See definitions.
Zoom in to see all - while zoomed out only a selection is shown due to the volume.
Issues
Issues reported by Cyclescape users, representing problems on the cycle network. These include traffic schemes, planning applications, and more.
Planning applications
New developments have the potential to worsen traffic conditions, but can also bring opportunities to fund infrastructure improvements.
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Bikeshare schemes
Automated cycle hire schemes enable people to use a bike without needing to own one.
Data here currently covers only London and Barcelona, but will be extended in due course.
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.
Trip lengths
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.
controls
Cycle parking
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.
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Cycle theft
Bike theft can mean people giving up cycling entirely. Cities are failing to provide secure cycle parking in public and residential areas.
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Reported in:
Cycle infrastructure photomap
100,000+ cycling-related images of cycling infrastructure, by users.
Cycleability ratings
This layer shows ratings of the cycleability rating of every street and path. Data comes from the CycleStreets routing engine.
Currently this only shows a maximum of 400 linear features at a time. Please contact us via the feedback form if you need mass extracts covering a larger region.
Road/path widths
This layer shows a calculation of road/path widths. Data is processed by the CyIPT project and comes from DCLG / OS.
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TfL Cycling Infrastructure Database (CID)
TfL's CID is a comprehensive and attribute-rich dataset of all cycle infrastructure throughout London. The data is a snapshot in time ranging between January 2017 and May 2018.
The TfL CID schema is available, as is a GeoJSON API for developers. Raw data downloads are available from TfL.
Feature type:
How far can I cycle?
This chart shows you how far you can cycle from a point you specify.
Drag the marker to set the location.
Note that the supported area is currently limited to London.
Journey details:
Distance(s):
Route type:
TfL Cycling Infrastructure Database (CID) as OSM format
TfL's CID is a comprehensive and attribute-rich dataset of all cycle infrastructure throughout London. The data is a snapshot in time ranging between January 2017 and May 2018.
This layer shows the CID data converted as an OSM-compatible dataset, matched to geometries and with properties converted.
The conversion script and resulting data are available on Github.
Feature type:
OSM data
For ease of comparison with other data, this layer provides a live feed data from OpenStreetMap, limited to Ways only at present.
OSM data is only shown at zoom 19 or above, to avoid load on the OSM servers. Please enable the layer and zoom in closely.
Open data licensed © OpenStreetMap contributors, ODbL license.