Study on the Allocation of a Rescue Base in the Arctic

Shan, Yulong; Ren, Zhoupeng

doi:10.3390/sym11091073

Cited by 12 publications

(4 citation statements)

References 18 publications

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“…By adjusting the number of clusters K, the algorithm can adapt to different datasets and achieve better clustering results. Overall, the ISODATA algorithm provides a more flexible and accurate approach for clustering analysis compared to the traditional K-means algorithm (Shan and Zhang, 2019). In the context of this study, the ISODATA algorithm will be used alongside three other algorithms to compare their performance and verify the applicability of the ISODATA algorithm in the field of maritime accidents.…”

Section: Clustering Of Accident Datamentioning

confidence: 99%

Accident black spot clustering oriented maritime search and rescue resource allocation and optimization

Sun,

Hou,

Chen

et al. 2024

Front. Mar. Sci.

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Efficient and rapid deployment of maritime search and rescue(MSAR) resources is a prerequisite for maritime emergency search and rescue, in order to improve the efficiency and accuracy of MSAR. This paper proposes an integrated approach for emergency resource allocation. The approach encompasses three main steps: identifying accident black spots, assessing high-risk areas, and optimizing the outcomes through a synergistic combination of an optimization algorithm and reinforcement learning. In the initial step, the paper introduces the iterative self-organizing data analysis technology (ISODATA) for identifying accident spots at sea. A comparative analysis is conducted with other clustering algorithms, highlighting the superiority of ISODATA in effectively conducting dense clustering. This can effectively carry out dense clustering, instead of the situation where the data spots are too dispersed or obvious anomalies that affect the clustering. Furthermore, this approach incorporates entropy weighting to reassess the significance of accident spots by considering both the distance and the frequency of accidents. This integrated approach enhances the allocation of search and rescue forces, ensuring more efficient resource utilization. To address the MSAR vessel scheduling problem at sea, the paper employs the non-dominated sorting genetic algorithm II combined with reinforcement learning (NSGAII-RL). Comparative evaluations against other optimization algorithms reveal that the proposed approach can save a minimum of 7% in search and rescue time, leading to enhanced stability and improved efficiency in large-scale MSAR operations. Overall, the integrated approach presented in this paper offers a robust solution to the ship scheduling problem in maritime search and rescue operations. Its effectiveness is demonstrated through improved resource allocation, enhanced timeliness, and higher efficiency in responding to maritime accidents.

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Section: Clustering Of Accident Datamentioning

confidence: 99%

Accident black spot clustering oriented maritime search and rescue resource allocation and optimization

Sun,

Hou,

Chen

et al. 2024

Front. Mar. Sci.

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“…Dams and other water-blocking structures break natural navigation channels, for which ship-crossing facilities such as locks and vertical lifts need to be constructed. The modification costs of the ship-crossing facilities are generally borne by the leading enterprises, and the relevant costs are generally not charged after construction [23]. (4) Responsibility for dam maintenance and repair.…”

Section: Strategic Csr Of Leading Enterprises In Water Environment Go...mentioning

confidence: 99%

Enhancing Strategic CSR in Chinese Leading Enterprises: The Role of Government Compensation and a Multi-Phase Portfolio Model

Hu,

Zhao,

Chen

et al. 2023

Water

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Water environment governance of large rivers is an essential measurement of ecological protection in China. The effectiveness of governance depends highly on the fulfillment of strategic CSR (corporate social responsibility) of Chinese leading enterprises. However, the fulfillment of strategic CSR often brings economic burden to the leading enterprises and needs government compensation support. Therefore, this paper explores the impact of government compensation on the fulfillment of strategic CSR of Chinese leading enterprises by constructing a multi-stage portfolio model. The main results show that (1) the prerequisite for leading enterprises to fulfill strategic CSR is sufficient profits; (2) the increase in government compensation can significantly affect the proportion of strategic CSR fulfillment of leading enterprises; (3) only when the portfolio considers both strategic CSR and project benefits, can the leading enterprises obtain the highest economic returns and better fulfill strategic CSR. The results can provide policy reference for the government to stimulate the fulfillment of leading enterprises’ strategic CSR and also give suggestions for the leading enterprises to alleviate the economic pressure brought by fulfilling strategic CSR.

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“…For instance, to determine the optimal port locations along Arctic waters and increase the availability of port services, VanderBerg [25] provided a quantitative composite multiplier method to create unique port impact values (PIVs); with the PIVs, eight optimal port locations were identified from 185 potential port locations in Arctic waters. For the solution of the asymmetry in Arctic emergency response and rescue, based on selecting 37 cities with good infrastructure along the Arctic, Shan and Zhang [26] developed a set-double covering median model (SDCMM) to determine the optimal allocation of rescue bases in the Arctic.…”

Section: Literature Reviewmentioning

confidence: 99%

An Emergency Port Decision-Making Method for Maritime Accidents in Arctic Waters

Wang

et al. 2023

JMSE

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The complex and variable hydro-meteorological conditions in Arctic waters and scattered and limited port infrastructures pose a great threat and challenge to Arctic emergency search and rescue. It is crucial to determine an available and effective emergency port for rescue in the event of a maritime accident occurring in Arctic waters. In the present study, a directed-weighted emergency port network consisting of maritime accident nodes and port nodes for maritime accident-prone areas in Arctic waters is developed based on complex network theory. For this, the maritime accident nodes are identified by using a K-means clustering algorithm based on historical accident data; the port nodes are determined by screening of the port location and scale; the weights for edges between accident nodes and port nodes are characterized in terms of ERT (emergency rescue time) and PEC (port emergency capacity), and the PECs for different emergency ports along Arctic waters are acquired by entropy-weighted TOPSIS. With the developed emergency port network, the topological properties associated with the accident nodes, port nodes, and the edge weights between accident nodes and port nodes are analyzed. What is more, the emergency ports for each maritime accident point occurring in Arctic waters are obtained and ranked.

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Study on the Allocation of a Rescue Base in the Arctic

Cited by 12 publications

References 18 publications

Accident black spot clustering oriented maritime search and rescue resource allocation and optimization

Accident black spot clustering oriented maritime search and rescue resource allocation and optimization

Enhancing Strategic CSR in Chinese Leading Enterprises: The Role of Government Compensation and a Multi-Phase Portfolio Model

An Emergency Port Decision-Making Method for Maritime Accidents in Arctic Waters

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