Research on the Optimal Route Selection for Cold Chain Distribution of Green Agricultural Products in the Guangdong-Hong Kong-Macao Greater Bay Area
To enhance consumer experience,improve economic efficiency,and achieve environmental protection,this study explores the optimal route selection methods for the cold chain distribution of green agricultural products in the Guangdong-Hong Kong-Macao Greater Bay Area.Based on the cold chain distribution process of green agricultural products,a distribu-tion network within the Bay Area is established,including upstream,midstream,and downstream links.Based on the de-mand and characteristics of green agricultural products at the downstream link,the network analyzes and establishes goals of minimum distribution cost,time cost and carbon emission,set the constraints in the distribution process,and establish the optimal path selection model by using the Artificial Bee Colony algorithm to select the optimal distribution routes that offer low distribution costs,reduced carbon emissions,and meet customer delivery times.Experimental results show that the se-lected optimal routes reduce distribution costs and carbon emissions while enhancing customer satisfaction,demonstrating practical application value.