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To this end, an RA-EAT bi-level optimization framework is developed. A concurrent RA-EAT design model is formulated at the upper-level. At the lower level, the EAT system is modelled by incorporating earthwork allocation sections partition, soil waste\/borrow pits selection and access roads generation. To solve this bi-level model, a tailored solution strategy is proposed. Specifically, a candidate pool for borrow\/waste pits is established via a moving window method. Then, RA alternatives are generated using a Particle Swarm Optimization (PSO). Afterward, the EAT model is solved with a hierarchical approach, including determining EAT sections along an RA with a divide-and-conquer method and configuring access roads with a modified Dijkstra's algorithm. Thus, the total RA-EAT solution can be iteratively evolved through the PSO rationale. 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