Against the backdrop of the dual-carbon strategy promoting the green and low-carbon transformation of the shipping industry, pollutant emissions generated during vessel berthing operations have become a critical challenge in port environmental governance. To address the combined effects of the priority berthing policy for new energy vessels and time-of-use electricity pricing, a joint optimization model for berth and shore power allocation is developed with the objectives of minimizing the total economic cost of vessels and the environmental tax cost associated with pollutant emissions. An improved Adaptive Large Neighborhood Search algorithm (ALNS-II) is further designed to solve the model. Numerical experiments based on actual port data verify the effectiveness of the proposed model and the superiority of the algorithm. The results indicate that, under time-of-use electricity pricing, the priority berthing policy for new energy vessels can shorten their waiting time at anchorage and encourage fuel-powered vessels to shift toward electrification. When the peak-to-valley electricity price ratio increases from 4.1:1 to 7.5:1, the environmental tax cost of pollutant emissions decreases slightly, whereas the total economic cost of vessels rises by 4.17%, suggesting that the peak-to-valley electricity price ratio should not be set excessively high. In addition, increasing the proportion of new energy vessels to 70% is more conducive to improving the overall economic and environmental performance of ports. The findings provide a theoretical basis and decision support for the optimal allocation of port resources under the coordination of multiple policies.

In order to cater to the new development paradigm, it is increasingly important of inland shipping system to expand domestic demand. Based on the linkage mechanism between inland shipping and regional economy, the index system of coordinated development is constructed, then the coupling coordination degree model of each index weight determined by entropy weighting method is calculated, the coupling correlation degree and coupling coordination scheduling between Jiangsu inland shipping system and regional economy system from 2009 to 2019 are enumerated, the key factors causing coupling effect in the two systems are analyzed by grey correlation analysis at the last. The result shows that the coupling between inland shipping and regional economy in Jiangsu Province has been at a high level for a long time, and the coupling coordination level has experienced a change from maladjustment to benign coupling, showing a trend of steady progress. Container throughput, cargo throughput, iron ore throughput, coal and its products throughput, GDP and per capita GDP are the key factors of the interaction between inland shipping and regional economy in Jiangsu Province. By revealing the linkage mechanism between inland shipping system and regional economic system, some suggestions to promote the coordinated development of regional systems can be put forward.