Demand-driven design of bicycle infrastructure networks for improved urban bikeability

Cycling is crucial for sustainable urban transportation. Promoting cycling critically relies on sufficiently developed infrastructure; however, designing efficient bike path networks constitutes a complex problem that requires balancing multiple constraints. Here we propose framework generating networks, explicitly taking into account cyclists’ demand distribution and route choices based safety preferences. By reversing the network formation, iteratively remove paths from an initially complete continually update to create sequence of adapted demand. We illustrate applicability this demand-driven approach two cities. A comparison resulting with those created homogenized enables us quantify importance planning. The proposed may thus enable quantitative evaluation structure current planned support design infrastructures. Designing In study, inverse percolation generate families cyclist