This study aims to identify, prioritize, and evaluate performance criteria that matter most to two key logistics stakeholders—trucking companies and receiving companies—in the context of container transportation. It further investigates how these stakeholders perceive the Connected and Autonomous Transport …

This study examines the integration of Connected Autonomous Transportation (CAT) systems at container terminals, focusing on identifying and prioritizing key performance indicators (KPIs) important to trucking companies. Using a mixed-methods approach, including a literature review, stakeholder interviews, …

The Amsterdam University of Applied Sciences has applied the Multi Actor Multi Criteria Analysis (MAMCA) in their educational and research programmes in various ways. The chapter is based on the experiences within the Faculty of Technology, which has adopted the MAMCA in the minor Urban Logistics. The …