It is very important to consider the influence of shoreline development on the navigation and operation of surrounding fishing vessels during port planning. Taking planning of Ningbo-Zhoushan Port as an example, this paper proposes a method for evaluating the impact of port shoreline planning on fishing vessels based on automatic identification system (AIS) cluster analysis through existing AIS and fishing port distribution data. The research results can provide decision support for port shoreline selection and other coastal development activities.
The current automated container terminal frequently completely isolates the external and internal container trucks in space for the safety of the vehicles. Physical isolation needs more space for roads and will reduce yard space. Furthermore, when a traditional container terminal is upgraded to an automated container terminal with physical isolation, the plan layout needs to be changed dramatically with substantial investment. With the development of technology, unmanned container trucks are gradually enabled in automated container terminals. It is necessary to ensure traffic safety in the absence of physical isolation in the port. To address path conflicts that arise when internal unmanned and external container trucks are combined in traffic, this article focuses on the impact of internal unmanned and external container truck avoidance strategies on traffic scheduling in automated container terminals. A mathematical model is built in this paper and solved by a genetic algorithm to study the influence of two avoidance methods: Internal Unmanned Container Truck First and External Container Truck First. The study's findings indicate a correlation between avoidance strategy benefits and drawbacks and the proportion of internal unmanned trucks to external container trucks.
Oil spills seriously threaten the safety of the marine ecological environment, in coastal cities. Small-scale oil spills along the coast occur more frequently. Although the spill is small, attention should be paid. Emergency equipment stations should be set up along the coast to store emergency supplies such as oil skimmers. For small-scale oil spills along the coast, in order to determine the optimal configuration plan for the number of oil skimmers in emergency stations, we use a multiobjective particle swarm algorithm to construct a configuration model, and comprehensively consider the impact of oil spills on the environment and the depreciation cost of oil skimmers. A decision plan for the number of oil skimmers used in the small-scale oil spill emergency station for regional control is given. Taking a peninsula sea area as an example to analyse the application of the model, and the optimal decision of the number of oil skimmers in the emergency station in the sea area is given. The research results can provide reference for coastal city planning.
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