Bi-modal road network design framework using bikeability

Abstract

Urban road networks are primarily car-oriented, however, societal challenges necessitate a redesign of these systems. Cycling offers a more sustainable alternative for mobility. Here, we propose a methodological framework to design bimodal road networks for cars and bicycles. This methodology utilizes traffic assignment and mode choice models based on bikeability indicators. The design is conducted using an Inverted Network Growth method. This approach is validated on toy networks before being applied to a case study. Finally, we use this method to propose infrastructure upgrade plans for planners. The results demonstrate that the framework identifies a threshold where additional infrastructure yields diminishing returns for modal shift. Furthermore, the results show that when safety is ensured by separated bike infrastructure, the framework prioritizes aesthetics over distance when selecting roads for infrastructure upgrades. This hierarchical output provides planners with a prioritized sequence for bicycle infrastructure development that balances bikeability with network efficiency.