Coastal waters have high navigability density, having a high possibility of causing accidents and endangering traffic efficiency. To select the emergency rescue location in coastal waters more scientific and reasonable, based on in-depth research on the optimal location of emergency rescue points, the demand weight of emergency rescue points is introduced and used. An optimized planning method to build a multi-objective decision-making model for emergency rescue site selection is proposed in this paper. The multi-objective particle swarm optimization algorithm (MOPSO) is applied to solve the model to obtain the Pareto optimal solution set that satisfies the objective function, and then the entropy method is also introduced to select the best location plan from the Pareto optimal solution set. The model is applied to the site selection of an emergency rescue site in coastal waters. The results show that the proposed model is feasible and provides an effective reference plan for the actual location decision; the MOPSO algorithm and entropy method could effectively obtain the optimal site selection scheme of the multi-objective optimization mode.


The navigation environment in coastal waters is complex, ships are busy, and accidents are frequent. The construction of emergency assistance points directly determines the timeliness, reliability, coverage and satisfaction of emergency assistance operations, which is to prevent secondary disasters from accidents and reduce lives and property. Important measures such as loss and prevention of environmental pollution. Therefore, in order to quickly and effectively provide emergency assistance after the occurrence of an accident, minimize the loss of personnel and property, and avoid the further development of the accident, which may cause more serious consequences, it is necessary to select the location of the emergency assistance point scientifically and reasonably. In order to ensure that emergency assistance is completed in the shortest time after an accident occurs, high-quality and high-efficiency assistance to emergency demand points can be achieved. Research on the location of emergency aid points along the coast, combine the current research status in land traffic accidents and natural disaster relief, and continuously optimize the layout of emergency aid points, consider the location of emergency aid points in various aspects, and improve site selection practicality and feasibility of the model.

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