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In this paper, we use a model construction, model solution and empirical study to investigate the container space allocation problem in container yards within automated container terminals. We consider both inbound and outbound container yard flows, with the objective of minimising the number of crushed containers and the total stacking height resulting from the space allocation process. We propose a multi-objective optimisation model and design a greedy algorithm to solve the model. By comparing our container space allocation strategy with the actual container space allocation strategy of Tianjin Port before optimisation, we find that our research can effectively reduce the number of new pressurised containers and the number of new layer heights generated during the container stacking process, which can fully guarantee the operational efficiency and safety of the yard in the automated container terminal. This ensures the operational efficiency and safety of the yard in the automated container terminal, and thus provides effective decision support for the construction and operation of the automated container terminal.
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