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We seek to promote an economy based on doughnut principles in Cambridge. We will facilitate its introduction by empowering individuals and organisations with the knowledge and tools they need to co-create a more socially and ecologically just city.

Bike lanes help define road space, decrease the stress level of bicyclists riding in traffic, encourage bicyclists to ride in the correct direction of travel, and signal motorists that cyclists have a right to the road. Bike lanes help to better organize the flow of traffic and reduce the chance that motorists will stray into cyclists' path of travel.1, 2 Bicyclists have stated their preference for marked on-street bicycle lanes in numerous surveys.3 In addition, several real-time studies (where cyclists of varying abilities and backgrounds ride and assess actual routes and street conditions) have found that cyclists are more comfortable and assess a street as having a better level of service for them where there are marked bike lanes present.4

These algorithms use graph theory to calculate the importance of any given node in a network. They cut through noisy data, revealing parts of the network that need attention - but they all work differently. Each measure has its own definition of 'importance', so you need to understand how they work to find the best one for your graph visualization applications.