Public health emergencies have caused serious harm to the global trade supply chain, increased the uncertainty of container transportation demand in shipping, and brought great inconvenience to port operations, thus affecting the transportation efficiency of container liner transportation. In this paper, the influence of public health emergencies on liner transportation cost and transportation market is fully considered, and the liner transportation network model with port congestion is constructed, and the PSO algorithm is used to solve the optimization model. On this basis, using the actual data of a liner's port jump under the background of COVID-19 epidemic in 2021 as the research object, the proposed model is verified, and finally the advantages and disadvantages of three heuristic algorithms and CPLEX are compared, and the robustness of the model is analyzed. The results show that PSO algorithm can provide effective calculation results for practical cases, especially in the application of the best combination of different recovery strategies. Convergence experiments and sensitivity analysis experiments show that the proposed optimization model has good accuracy and robustness for liner transportation network optimization under public health emergencies.
This paper, using the ultra-efficiency DEA-Tobit model, takes 16 listed port enterprises as an example to measure the port efficiency from 2015 to 2021. Based on the unexpected output, the measured port enterprise operation efficiency is more objective, and provides reasonable suggestions for the improvement of the port operation efficiency. The research results show that: (1) the operating efficiency of port enterprises is increasing, but the growth rate is slow; (2) the operating efficiency is limited by the growth of technical efficiency; (3) the fixed assets, management expenses and R & D expenses promote the port operation efficiency, while the paid-in capital, operating cost and carbon emission inhibit the port operation efficiency.
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