In recent years, an increase in the size of the container ships could be observed. The question is how these larger ships will influence the total generalised costs from a port of loading to a destination in the European hinterland. The second question is whether a scale increase of the container ships on other loops, such as a loop from the United States to Europe, has the same impact on the generalised chain costs as on the loop from Asia to Europe. A derived question is which element of the total chain has the highest importance, and whether this balance varies as the ship size changes. In this article, a model is developed that allows answering the above research questions. The model is designed to simulate the cost of a complete loop of a container ship and of a chain that uses that same loop. For the chain cost simulation, the maritime part is determined by the loop. From the ports of loading and unloading, the port container handling and the hinterland transportation costs are also integrated. The model also allows calculating the total chain cost from a point of origin (either a hinterland region or a port) to a destination point (also a port or a hinterland region). An actual container loop of a container shipping company can be introduced in the model. An application is made to two existing container loops, namely from Asia respectively the United States to Europe. It turns out that changing ship does indeed lead to economies of scale, but also that the impact is larger on the Asia–Europe connection than on the US–Europe connection. Furthermore, the maritime component has the biggest share in the total chain cost, but as ship size increases, the shares start getting closer to each other. This research contributes to the existing literature in two ways. First of all, it quantifies the impact of the scale increase of container ships throughout the total chain. Second, this is done from a bottom-up engineering modelling approach.

International interest in Maritime Autonomous Surface Ships (MASS) is on the rise. This exploratory research presents insights of a sample of licensed deck officers (LDOs) regarding the potential future of the Collision Avoidance Regulations (COLREGs) with the implementation of MASS. At present, there is much discussion in the maritime industry on if and how the COLREGs will need to be amended to be able to be applied to MASS. Limited research is published from the key perspective of the LDO. Qualitative and quantitative methods are used, including a literature review and a multiple-choice survey. Data is analyzed via descriptive statistics, and commonalities within the results are investigated as well as years of experience with practicing the COLREGs. Results show that many barriers exist when applying the COLREGs to MASS, and minor amendments to certain terms and definitions are recommended. Moreover, the COLREGs should not be quantified, and MASS should be identifiable from other vessels. LDOs with more experience with practicing the COLREGs are found to be slightly more open to changing the rules versus LDOs with less experience. When compared to the results of the International Maritime Organization’s regulatory scoping exercise, the results of this study are found to be in congruence. This research provides valuable insights for the ongoing discussion of the future of MASS operation in the maritime industry.

The present paper studies the bundling of road cargo flows of neighbouring seaports to a common hinterland. In specific cases, some hinterland flows can be too small to make bundling in a sufficient frequency possible. By combining the road freight flows of neighbouring ports, this problem can be solved. However, the additional cost of bundling and the loss of time need to be compensated for by a lower transport cost. The paper presents an empirical model for the 104 core Trans-European Transport Network (TEN-T) ports of the European Union (EU) and their 271 NUTS2 (Nomenclature of Territorial Units for Statistics) hinterland regions that allows identifying opportunities for bundling as well as the direct and external cost effects. By including the value of time (VOT) of each transport mode, the generalised cost is also calculated. The result is a business model that helps port authorities, and other port actors, to identify bundling projects that will lower the direct, generalised and external costs of the hinterland connectivity, thus increasing the port attractiveness for port users as well as lowering potential aversion by the surrounding community to port operations that create hinterland nuisance.