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A vast majority of people usually argue that cycling can make a significant contribution to our world. In reality, there is a gap between desired and actual numbers. In Germany, for instance, only 20% of the everyday short-distance trips are covered by bicycle. When enquiring about the causes, researchers found one point repeatedly tops the list: the perceived or potential risk on the bike routes used. Increasing the share of cycling trips thus depends crucially on well-developed bike paths.

However, designing efficient bike path networks is a complex task that involves balancing a variety of limitations while meeting overall demand. In addition, many districts are confronted with a shortage of funds available for improving the infrastructure. Researchers propose a new approach to generating efficient bike path networks. This considers demand distribution and the route option of cyclists based on preferences for secure outings. Typically, minimizing the travel distance is far from the solely goal. Aspects such as attractiveness of a route are also taken into account.

Under real conditions, a bike path network is created by constantly adding bike paths to more streets. This time, researchers start with an ideal, complex network, in which all streets in a city are equipped with a bike path. In a virtual process, they gradually remove less used bike path sections from this network. The route selection of cyclists is continuously updated. Thus, a series of bike path networks is created and is always adapted to the current usage. Each stage of it corresponds to a variant that could be carried out with less financial support.

“We illustrate the applicability of this demand-driven planning for crowded urban areas of Dresden and Hamburg,” explains researcher Christoph Steinacker. “We are approaching a real-life issue here using the theoretic toolbox of network dynamics and compare efficient bike path networks under different conditions.”