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Shanshan Fu
College of Transportation and Communication, Shanghai Maritime University, Shanghai 201306, China

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Journal article
Published: 25 December 2020 in Sustainability
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Sustainable growth should not only be beneficial to the shipping industry in the future, but is also an urgent need to respond to resource and environmental crises and strengthen shipping governance. Maritime traffic in Arctic waters is prone to encounter dangerous ice conditions, and it is essential to study the mechanism of ice collision risk formation in relation to ice conditions. Taking the ship-ice collision risk in Arctic waters as the research object, we propose a dynamic assessment model of ship-ice collision risk under sea ice status dynamic association (SDA) effect. By constructing the standard paradigm of risk factor dynamic association (DA) effect, taking SDA as the key association factor. Combing with other risk factors that affect ship-ice collision accidents, the coupling relationship between risk factors were analyzed. Then, using the Bayesian network method to build a ship-ice collision accident dynamic risk assessment model and combing with the ice monitoring data in summer Arctic waters, we screen five ships’ position information on the trans-Arctic route in August. The risk behavior of ship-ice collision accidents on the selected route under SDA is analyzed by model simulation. The research reveal that the degree of SDA is a key related factor for the serious ice condition and the possibility of human error during ship’s navigation, which significantly affects the ship-ice collision risk. The traffic in Arctic waters requires extra vigilance of the SDA effect from no ice threat to ice threat, and continuous ice threat. According to the ship-ice collision risk analysis under the SDA effect and without SDA effect, the difference in risk reasoning results on the five stations of the selected route are 32.69%, −32.33%, −27.64%, −10.26%, and −30.13% respectively. The DA effect can optimize ship-ice collision risk inference problem in Arctic waters.

ACS Style

Zhuang Li; Shenping Hu; Guoping Gao; Yongtao Xi; Shanshan Fu; Chenyang Yao. Risk Reasoning from Factor Correlation of Maritime Traffic under Arctic Sea Ice Status Association with a Bayesian Belief Network. Sustainability 2020, 13, 147 .

AMA Style

Zhuang Li, Shenping Hu, Guoping Gao, Yongtao Xi, Shanshan Fu, Chenyang Yao. Risk Reasoning from Factor Correlation of Maritime Traffic under Arctic Sea Ice Status Association with a Bayesian Belief Network. Sustainability. 2020; 13 (1):147.

Chicago/Turabian Style

Zhuang Li; Shenping Hu; Guoping Gao; Yongtao Xi; Shanshan Fu; Chenyang Yao. 2020. "Risk Reasoning from Factor Correlation of Maritime Traffic under Arctic Sea Ice Status Association with a Bayesian Belief Network." Sustainability 13, no. 1: 147.

Journal article
Published: 29 October 2020 in Sustainability
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As a near-Arctic state and a shipping power, China shows great interest in developing polar shortcuts from East Asia to Europe against the background of shrinking Arctic sea ice. Due to the Arctic’s historic inaccessibility and corresponding vulnerable ecosystems, Arctic shipping activities must be carried out sustainably. In this study, a content analysis method was adopted to detect Chinese perspectives toward sustainable Arctic shipping based on qualitative data collected from the websites of several Chinese government agencies. Results show that, first, China emphasizes the fundamental role played by scientific expeditions and studies in developing Arctic shipping routes. Second, China encourages its shipping enterprises to conduct commercial and regularized Arctic voyages and intends to strike a good balance between shipping development and environmental protection. Third, China actively participates in Arctic shipping governance via extensive international cooperation at the global and regional levels. Several policy recommendations on how China can develop sustainable Arctic shipping are proposed accordingly.

ACS Style

Qiang Zhang; Zheng Wan; Shanshan Fu. Toward Sustainable Arctic Shipping: Perspectives from China. Sustainability 2020, 12, 9012 .

AMA Style

Qiang Zhang, Zheng Wan, Shanshan Fu. Toward Sustainable Arctic Shipping: Perspectives from China. Sustainability. 2020; 12 (21):9012.

Chicago/Turabian Style

Qiang Zhang; Zheng Wan; Shanshan Fu. 2020. "Toward Sustainable Arctic Shipping: Perspectives from China." Sustainability 12, no. 21: 9012.

Journal article
Published: 18 April 2019 in Journal of Marine Science and Engineering
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China imports a large quantity of bauxite each year. Bauxite in fine particles with high moisture has a high risk of liquefaction during the maritime transportation process, which is harmful to the stability and safety of the carrier. To ensure safe shipping, it is necessary to pay attention to the effects of the operation of cargo, the ship’s maneuvering and the ocean environment during the whole transportation process. The simulation of the process risk helps to develop measures to intervene with the cargo behavior to keep the risk to an acceptable level. This study examined the transportation process of a bauxite carrier using the Markov Chain method at different stages of loading, unberthing, departure and sea navigation. Based on the risk transfer matrix of the operational status at different stages of transportation, a cloud simulation model was developed to analyze the transportation process risk of a ship carrying bulk bauxite. Results: the research revealed that the risk evolution rule of the solid bulk cargoes with potential liquefaction during the transportation process, especially bauxite. The risk alteration during the prophase of the transportation process conforms to the rule of the “spoon curve”. Conclusions: a simulation model of the process risk based on the Markov Chain Cloud is suitable for the simulation analysis of the transportation risk of the bulk bauxite carrier. The outcomes of this study may contribute to better safety management to prevent the occurrence of ship capsizing.

ACS Style

Jianjun Wu; Shenping Hu; Yongxing Jin; Jiangang Fei; Shanshan Fu. Performance Simulation of the Transportation Process Risk of Bauxite Carriers Based on the Markov Chain and Cloud Model. Journal of Marine Science and Engineering 2019, 7, 108 .

AMA Style

Jianjun Wu, Shenping Hu, Yongxing Jin, Jiangang Fei, Shanshan Fu. Performance Simulation of the Transportation Process Risk of Bauxite Carriers Based on the Markov Chain and Cloud Model. Journal of Marine Science and Engineering. 2019; 7 (4):108.

Chicago/Turabian Style

Jianjun Wu; Shenping Hu; Yongxing Jin; Jiangang Fei; Shanshan Fu. 2019. "Performance Simulation of the Transportation Process Risk of Bauxite Carriers Based on the Markov Chain and Cloud Model." Journal of Marine Science and Engineering 7, no. 4: 108.