In order to reduce the total cost of cold chain food (CCF) multimodal transportation process and improve customer satisfaction, this paper proposes the study of Cold Chain Food logistics routing optimization by multi-modal transportation. Based on the multimodal transportation network, the path selection model is constructed considering the minimization of total cost and the maximization of customer satisfaction. The improved particle swarm optimization algorithm (IPSO) was used to solve the model. Finally, the model verification and sensitivity analysis are carried out using real cases. The analysis results show that the transportation cost of multimodal transportation is reduced by 13.4%, the total cost is reduced by 7.2%, the time satisfaction is increased by 3.3%, and the total satisfaction is increased by 0.6%. By improving the speed of railway transportation, the total transportation cost can be effectively reduced and customer satisfaction can be improved.