【摘要】 随着我国人民对绿色生活的追求和消费水平的不断提高，政府对绿色物流的要求也越来越高，物流企业既要保证生鲜产品的品质，也要优化运输行为，降低碳排放。文章旨在针对当前绿色经济时代背景，研究考虑碳排放成本和消费者购买意愿的生鲜产品运输路径规划模型；基于实际的电商仓库位置和真实运输数据，建立考虑供需的运输路径优化模型，并利用改进的遗传算法模型进行规划求解。同时，文章还采用改进后的考虑消费者溢价意愿的运输规划模型帮助企业更好地降低成本，为企业打造绿色环保形象。更多还原

【Abstract】 With the increasing pursuit of green and environmentally friendly lifestyles among Chinese residents, coupled with the continuous improvement of their consumption levels, the government’s requirements for green logistics have also become higher. This has forced transportation enterprises to guarantee the quality of fresh agricultural products while optimizing their transportation behavior and reducing carbon emissions. The paper aims to study a fresh agricultural product transportation path planning model that considers the cost of carbon emissions and consumer purchasing intentions in the current era of green economy. Based on the actual e-commerce warehouse locations and real transportation data, a transportation path optimization model considering supply and demand is established, and an improved genetic algorithm model is used for planning and solving. At the same time, the article also adopts an improved transportation planning model that takes into account consumer premium willingness to help enterprises better reduce costs and create a green and environmentally friendly image for enterprises.更多还原