Green cooperative transportation solutions in terminal distribution

Abstract

To promote optimal resource allocation, improve utilization efficiency, and reduce environmental pollution, we propose integrating dispersed transportation resources in the final distribution link of express delivery and implementing green cooperative distribution. The green vehicle routing optimization problem is based on cooperative transportation, which is solved by a multi-chromosome coding genetic algorithm based on priority coding. The results show that the transportation distance and transportation cost are reduced. Vehicle resource utilization has also been improved. Cooperative transportation is not always conducive to green development, which is related to the scale of transportation and vehicle fuel consumption, and we propose comprehensive green solutions to solve this problem, including optimizing vehicle routes, optimizing the allocation of transportation resources, and optimizing the combination of new energy and traditional energy vehicles. The empirical analysis shows that green cooperative distribution can develop a more reasonable vehicle transportation strategy for large distribution centers and effectively save energy and reduce emissions. The utilization rate of vehicle resources is improved, and economic, resource, and environmental benefits are realized. This study will help logistics enterprises to strengthen cooperation, reduce resource waste, and jointly promote the sustainable development of logistics.