Timetabling and vehicle scheduling are two important tasks in Demand-Responsive Feeder Transit (DRFT) operations. This chapter presents an integrated bi-objective optimization model for simultaneously optimizing the timetabling and vehicle scheduling of DRFT, based on reservation-based passenger travel demands. The model aims to optimize the fleet size of DRFT vehicles and the number of successful coordinated transfers, thereby enhancing the level of service coordination in multimodal public transport. Given the structural characteristics of the model, the ε-constraint method is employed to solve the model to generate a set of Pareto-optimal solutions. The computational results of a case study demonstrate that the proposed integrated bi-objective optimization model and solution method can effectively increase the number of successful coordinated transfers in multimodal public transport networks. Furthermore, it can determine the maximum number of successfully coordinated transfers corresponding to a given DRFT fleet size, along with the optimal departure timetable, and vehicle schedule, providing decision support for the timetabling and vehicle scheduling of reservation-based DRFT.