This study tackles the efficiency-sustainability conflict in international logistics by developing an integrated computer technology approach. Key innovations include: (1) A five-dimensional ecological evaluation system (carbon, energy, material flow, spatial, institutional) embedded across logistics life cycles; (2) Adaptive algorithmic architectures (ST-GCN + MADDPG) dynamically optimizing scheduling under ecological constraints, outperforming traditional methods; (3) Blockchain-IoT facilitated regional collaboration models (EU, ASEAN, USMCA) enhancing cross-border policy alignment. Virtual simulations confirm reinforcement learning and hybrid algorithms achieve 22–37% higher green objective attainment. The framework bridges technological innovation with governance for carbon-neutral logistics.
Zhang et al. (Fri,) studied this question.