Preference-based Optimization for Multimodal Trip Planning with Public Transport and Shared Mobility

Abstract

Multimodal trip planning has attracted attention from scholars because it can make use of the strengths of multiple transport modes. This study investigates preference-based optimization for multimodal trip planning with public transport and shared mobility. Both ride-pooling vehicles and shared micromobility are considered. A mixed integer programming model is developed. Preferences are incorporated into the objective function of the optimization model. The characteristics of different types of services are considered in constraints. Numerical studies are conducted using real transport network data in the Rotterdam area. The results show that considering preferences in multimodal trip planning can improve the service level.