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Bikedata

Data to support getting more people cycling.

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.

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Severity:

collisions

Casualty:

Cyclist
Pedestrian
Car occupant

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Junctions
One-way streets
A-roads

speed limit

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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.

Taxi data

Where are taxis travelling? An experimental layer created at Cambridge Hack Transport (2017).

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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.

⊕ Suggest where new cycle parking is needed

⊕ Add existing cycle parking to the map

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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.

⊕ Add photo

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Photos:

Only reports with a photo

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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):

20 minutes
30 minutes
45 minutes
60 minutes

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.

Show types:

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.

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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 §6.4.21.

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:

Cycleways and paths

A dataset which contains the 'cycle network' beyond the general road network.

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