Signal 4: Planning Bike Lanes with sharing bike data
Although Riding bikes on the road is dangerous and often causes the traffic jam, people sometimes have to do so because there is no proper bike lane for them to ride.
The reason why the right lane does not build on the right place is that the government don’t know the distribution of the demand for cycling.
With the sharing bike trajectories data, the spatial clustering could be used to identify the most popular roads that people ride bikes.
A score can be calculated when deciding which path to build bike lanes according to the continuousness of the bike lane. The continuous road is preferred to the broken road for users.
Thus, we can put our budget and resources on the most efficient usage because we cover the most popular places and design the most popular bike lanes for people.
Using this method, we could improve current bike lane planning and the riding experience of citizens as well as people’s safety. Moreover, the transport system will be more efficient and hence will increase the efficiency of the society as a whole.
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