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 1999-2023. 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.
Taxi data
Where are taxis travelling? An experimental layer created at Cambridge Hack Transport (2017).
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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.
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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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Collisions heatmap
An experimental rendering of collision data.
Only available for the Cambridge area.
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:
Modal filters
Modal filters (or 'point closures') are measures to restrict through-traffic. These facilitate safer streets for cycling and walking, as well as improving residential amenity.
You can give feedback on a location, by using the button in the popup, or right-click to add a missing location.
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Various types are shown:
- Bollards/gates within a street, that prevent through-traffic but allow walking and cycling
- Gaps within a street that form a short section of cycleway/walkway, similarly preventing through-traffic
- Streets abutting main roads but with only a cycleway/pavement between them
- Bus gates, which allow bus and cycle access to particular areas
For performance reasons, a maximum of 2,000 locations are shown. Zoom in to avoid this limit being hit.
The data shown here is the result of automated analysis of OpenStreetMap data, undertaken by CycleStreets.
We continue to refine the analysis to remove false-positives and to add additional types.
Low-Traffic Neighbourhoods (LTNs)
This experimental data shows whether each street is either:
- An LTN / no-through traffic
- A through-route (i.e. rat-running possible)
- A through-route, but with traffic calming
We treat classified roads (i.e. C roads and bigger) as the roads which divide up areas, as those have historically been considered to intend through-driving, though there are exceptions.
The data shown here is the result of automated analysis of OpenStreetMap data, undertaken by CycleStreets.
This work is in beta at present, with known bugs. We continue to refine the analysis.
Low-Traffic Neighbourhoods (LTN) statistics
Statistics by Highway Authority area.
This work is in beta at present, with known bugs. We continue to refine the analysis.
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* This option also includes London Boroughs and Metropolitan Districts.
One-way streets without contraflows
This experimental data shows one-way streets that do not yet allow two-way cycling.
Allowing two-way cycling on local streets is a simple way to make cycling easier, and there is little evidence of any safety issue. Have a look at Cambridge to see how few are now left.
The official government guidance is that "There should be a general presumption in favour of cycling in both directions in one way streets, unless there are safety, operational or cost reasons why it is not feasible." – LTN 1/20 ยง6.4.21.
The data shown here is the result of automated analysis of OpenStreetMap data, undertaken by CycleStreets.
This work in beta at present, with known bugs. We continue to refine the analysis.
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.
Cycleways and paths
A dataset which contains the 'cycle network' beyond the general road network.
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