Yanbin Yang

Dr. Yanbin Yang

Shanghai Maritime University, Shanghai, China
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 November 2022 in Frontiers in Marine Science
Verified
Journal Article
Open access
JDJunjie Dong
Junjie Dong
JZJia Zeng
Jia Zeng
Yanbin YangYanbin Yang
Yanbin Yang
HWHua Wang
Hua Wang
The carbon emission of shipping industry accounts for about 3% of the global total. With the continuous growth of international trade, the decarbonization and carbon neutralization of shipping industry has become an important direction for future development. New technologies, fuels and operational measures can help reduce the industry’s greenhouse gas emissions, but without appropriate laws and policies, it will be difficult to achieve the targets set by the industry. Therefore, this paper reviews the decarbonization laws and policies introduced by International Maritime Organization, the European Union and the national levels. Then, this paper reviews the literature from two aspects: applicability and evaluation of laws and policies, improvement of laws and policies. On this basis, we summarize the challenges of shipping in formulating laws and policies and suggestions for improving them. Among them, the most important problem is the coordination between unilateral regulation and uniform regulation. Finally, this paper proposes the development principles based on shipping decarbonization laws and policies, that is, to comply with the principle of “common but differentiated responsibilities”, to coordinate the relationship between international trade and international environmental protection, and to guarantee technical assistance to developing countries.

Verified
Journal Article
Open access
PDF file
Yanbin YangYanbin Yang
Yanbin Yang
Wei LiuWei Liu
Wei Liu
As an important hub in the maritime transportation system, ports are vulnerable to events such as terrorist attacks, security accidents and bad weather. The failure of port nodes to function effectively affects the connectivity and efficiency of the shipping network and impedes trade between countries. In view of this, in this paper, we constructed the Maritime Silk Road shipping network based on route data and used transmissibility and diversity to represent the resilience of the network and nodes. Then, we analyzed the variation characteristics of resilience using disruption simulation and identified 9 dominant nodes and 15 vulnerable nodes that could help to accurately determine the factors that affect the resilience of the MSR shipping network structure. The results show that the Maritime Silk Road shipping network structure is vulnerable, and the failure of ports to function has different effects on network transmissibility and diversity. In terms of node transmissibility and diversity, there are differences in the resistance of port nodes to interventions. In addition, the failure of dominant ports to function and the emergence of vulnerable ports are significant factors that weaken the resilience of the network structure. When dominant ports are interrupted, this greatly affects the resilience of the network structure. It is necessary to reduce the possibilities of the failure of dominant ports. Vulnerable ports are weaknesses in the resilience of the network structure, which weaken the ability of the network to function. The centrality of these ports should be strengthened, and their relation to regional and trans-regional links should be enriched. The research results provide a scientific basis for ensuring the structural resilience of the Maritime Silk Road shipping network.

7 March 2022 in Energy Reports
Verified
Journal Article
Open access
XXXu Xu
Xu Xu
Yanbin YangYanbin Yang
Yanbin Yang

9 June 2022 in Transportation Research Record: Journal of the Transportation Research Board
Verified
Journal Article
Closed access
Yanbin YangYanbin Yang
Yanbin Yang
Wei LiuWei Liu
Wei Liu
XXXu Xu
Xu Xu
Some key ports exist in the Maritime Silk Road shipping network that have a high impact on the whole of maritime transportation. An efficient identification of these crucial ports is of great importance, to alleviate the spread of port congestion, control shipping delays, and improve transportation efficiency. This paper proposes a novel method to identify the key ports by comprehensively considering local propagation and global centrality (LPGC), based on the complex network theory. Taking the ports along the Maritime Silk Road shipping network as an example, the Susceptible–Infected–Susceptible (SIS) model and Kendall’s correlation coefficient are compared with several centrality measures to evaluate the feasibility and efficiency of the LPGC method. The obtained results demonstrate that, compared with the existing methods, the proposed method has higher accuracy and can more accurately identify the influential ports. Finally, the obtained port importance ranking also provides a theoretical basis for the selection of ports that should give a priority to maintaining or ensuring their service capacity in practice.

4 March 2020 in Computational Intelligence
Verified
Journal Article
Closed access
PDF file
LSLing Sun
Ling Sun
XXXu Xu
Xu Xu
Yanbin YangYanbin Yang
Yanbin Yang
WLWei Liu
Wei Liu
JJJiahao Jin
Jiahao Jin

29 September 2022 in Sustainability
Verified
Journal Article
Open access
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YJYuping Jin
Yuping Jin
Yanbin YangYanbin Yang
Yanbin Yang
Wei LiuWei Liu
Wei Liu
Unstable factors such as international relations, geopolitics, and transportation routes make natural gas trade complex and changeable. Diversified and flexible sources of liquefied natural gas (LNG) can guarantee the energy supply security of natural gas-consuming countries. Therefore, it is very important to find potential natural gas trade links to help the government find potential partners and prepare strategically in advance. In this paper, the global LNG network is taken as the research object. In order to fully consider the importance of nodes and the influence of economic and political factors, the “centrality degree” and “node attraction degree” are added into the link prediction algorithm, and multifactor coupling is carried out. The reliability of the improved algorithm is verified using the area under the curve (AUC) evaluation index, and the prediction results are analyzed. The results are as follows: Trinidad, Russia, Algeria, Nigeria, Angola, and Equatorial Guinea (Eq. Guinea) are more likely to establish new LNG trading relationships with other countries. For all potential trade relationships, potential relations involving the above countries are more likely to be realized within 5 years, while potential relations involving China, India, Japan, and South Korea are more likely to be realized within 2 years. China, India, and South Korea are more likely to import LNG from Algeria, and Taiwan Province is more likely to import LNG from Algeria, Angola, Eq. Guinea, and America. On the basis of the above study, states and governments can give priority to the above countries and regions when dealing with the possible LNG supply crisis.