Last-mile logistics poses a pivotal challenge for the sustainable prosperity of fresh food e-commerce. However, there has been insufficient research attention towards optimizing the last-mile vehicle routing from three sustainable dimensions simultaneously based on triple-bottom-line. To narrow this gap, this paper proposes a multi-objective last-mile vehicle routing model for fresh food e-commerce, which takes the three sustainable dimensions as independent objectives. The economic and environment objectives are minimizing the total cost and carbon emission, respectively. For social dimension, a nonlinear function is proposed based on the Prospect theory, which quantifies customers’ satisfaction when they perceive delivery time. Then the social objective is described as maximizing customers’ satisfaction. Subsequently, the model is solved by the nondominated sorting genetic algorithm II and validated by a numerical experiment. Based on the experiment results, this paper recommends that logistics enterprises should prioritize the trade-off among the three sustainable dimensions.

最后一公里物流对生鲜电商的可持续繁荣提出了关键挑战。然而，基于三重底线同时从三个可持续维度优化最后一英里车辆路径的研究还不够。为了缩小这一差距，本文提出了生鲜电商最后一英里多目标车辆路径模型，该模型将三个可持续维度作为独立目标。经济和环境目标分别是最小化总成本和碳排放。对于社会维度，基于前景理论提出了非线性函数，量化了客户感知交货时间时的满意度。那么社会目标被描述为最大化顾客满意度。随后，利用非支配排序遗传算法II对该模型进行求解，并通过数值实验进行验证。基于实验结果，本文建议物流企业应优先考虑三个可持续维度之间的权衡。