On the Simultaneous Computation of Target Inventories and Intervals for Bimodal Bike-Sharing Systems

•Our model recommends rebalancing based on predicted demand for regular and e-bikes.•It adjusts inventory intervals for each bike type, meeting user preferences.•It reduces 25-40% lost demand and 4-15% rebalancing operations compared to real-world cases.•Knowing commuters’ choices aids in designing effective rebalancing strategies.