肖一鸣 熊伟

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。

关键词：生鲜农产品；路径规划；碳排放；遗传算法；消费者行为

中图分类号：F252文献标志码：ADOI：10.13714/j.cnki.1002-3100.2023.12.001

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.

Key words： fresh agricultural products; path planning; carbon emissions; genetic algorithm， consumer behavior

0    引    言

近年来，我国经济不断发展，人均收入不断增加，这使得人们对生活品质提出了更高的要求。然而，当前我国的生鲜产品运输方式尚未健全，冷链运输方式普及率不高，导致生鲜产品的品质不稳定。同时，冷链运输由于具有高能耗的特点，也造成了较为严重的环境污染。因此，探究合理的路径规划模型对企业和社会发展具有重要的现实意义。

目前，国内外学者已对生鲜产品的运输路径规划问题进行了很多理论研究和案例分析，如利用禁忌搜索算法[1]、Floyd算法[2]、遗传算法[3]等模型，以时间最短为目标优化生鲜产品冷链运输配送流程。随着全球碳中和目标的逐渐确立，碳减排已经成为各国共同关注的焦点。……