This research looks into novel ways to plan, schedule, and organize goods flows from a business model, transportation optimization and information systems perspective. It involves both long-haul distribution (e.g., multi-modal) and short-haul transportation (i.e., urban logistics). The main aim is to increase efficiency by reducing cost and CO2 emissions while maintaining a broad societal perspective. Key challenges are to efficiently handle increased uncertainty and high complexity, making use of advanced planning techniques, as well as (big) data analytics, Internet of Things approaches, and AI. In addition, this research theme focuses on new mobility solutions, from car and bike sharing to mobility-as-a-service (MaaS), and to smart hubs.