Spatial classification model of port facilities and energy reserve prediction based on deep learning for port management―A case study of Ningbo DOI
Huixiang Huang,

Yan Qiaoling,

Yang Yang

et al.

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 258, P. 107413 - 107413

Published: Oct. 11, 2024

Language: Английский

Structural analysis and robustness assessment of global LNG transport network from 2013 to 2023 DOI
Yang Xu, Peng Peng, Xiaowei Xie

et al.

Ocean & Coastal Management, Journal Year: 2025, Volume and Issue: 263, P. 107619 - 107619

Published: March 8, 2025

Language: Английский

Citations

1
Assessing the structural resilience of the global crude oil maritime transportation network: A motif-based approach from network to ports DOI

Ruibin Si,

Peng Jia, Haijiang Li

et al.

Journal of Transport Geography, Journal Year: 2025, Volume and Issue: 123, P. 104123 - 104123

Published: Jan. 19, 2025

Language: Английский

Citations

0
European LNG Import Network Analysis and Investigation of Supply Security DOI Creative Commons

Konstantinos I. Savvakis,

Tatiana P. Moschovou

Energies, Journal Year: 2025, Volume and Issue: 18(3), P. 634 - 634

Published: Jan. 30, 2025

The shift of European countries to more environmentally friendly sources energy is leading an increase in the share natural gas mix. At same time, flexibility and cost-effectiveness maritime transport are making liquefied (LNG) competitive compared traditional forms gas, despite recent geopolitical, health economic events threatening its supply chain. aim this study analyze LNG import network using theory indicators identify trading communities investigate security through failure simulation. model was developed a programming code MATLAB R2022B software. results analysis can be summarized as follows: (a) center gravity trade from Mediterranean Atlantic shores identified; (b) gradual consolidation Europe’s noted; (c) increasing dependence Europe on limited number observed; (d) most critical nodes for resilience were identified modeling. Based these findings, recommendations proposed strengthen independence.

Language: Английский

Citations

0
Resilience assessment of global container shipping network via port communities DOI
Nanxi Wang, Kum Fai Yuen, Xueyi Gao

et al.

Transportation Research Part D Transport and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 104649 - 104649

Published: Feb. 1, 2025

Language: Английский

Citations

0
Climate risk exposure of global energy companies: Green chain vulnerability and countermeasures DOI
Shuai Che, Miaomiao Tao, Xiaohang Ren

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 378, P. 124755 - 124755

Published: March 3, 2025

Language: Английский

Citations

0
Evolution and vulnerability analysis of global photovoltaic industry chain trade pattern DOI Creative Commons
Chao Ding,

X. Ren

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 21, 2025

As global energy demand increases, photovoltaic power generation has become the solution to conundrum. Based on product trade data from 2000 2023, this paper examines development of industry chain pattern and impact PageRank centrality top 10% node failures network vulnerability. It accomplishes by employing hypothetical assault strategies intricate networks. Research shown that: ① The PV undergone profound changes. trend multipolarization is becoming more obvious. China's position in each link increasingly prominent. ② vulnerability shows a weakening trend. upstream midstream networks stable. destruction resistance downstream been improved. Fluctuation structure weakened. ③ There distinct gradient susceptibility industrial chain. relatively low, followed midstream. high.

Language: Английский

Citations

0
Analysis of the Impact of the Russia–Ukraine Conflict on Global Liquefied Natural Gas Shipping Network DOI Creative Commons
Ranxuan Ke, Xiaoran Wang, Peng Peng

et al.

Journal of Marine Science and Engineering, Journal Year: 2024, Volume and Issue: 13(1), P. 53 - 53

Published: Dec. 31, 2024

The Russia–Ukraine conflict has influenced global LNG shipping patterns; nevertheless, current research about its effects on the nodes and local regions of network remains insufficient. This study employs a series metrics robustness evaluation model to examine evolution in structure functionality amid conflict, integrating vessel origin–destination data from 2021 2023 analyze network’s robustness. indicated that: (1) alteration trade relations instigated by modified flows, resulting fragmented overall diminished transportation efficiency. catalyzed enhancement European ports, leading substantial rise significance premier ports within transport network. Significant export such as Ras Laffan, hold importance (2) Among various assault techniques, degree-based intentional attacks inflict greatest harm declined following rendering it particularly susceptible 2023. findings indicate that altered work holds theoretical for examining influence geopolitical events improving maritime industry’s ability navigate complicated circumstances.

Language: Английский

Citations

2
Spatial classification model of port facilities and energy reserve prediction based on deep learning for port management―A case study of Ningbo DOI
Huixiang Huang,

Yan Qiaoling,

Yang Yang

et al.

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 258, P. 107413 - 107413

Published: Oct. 11, 2024

Language: Английский

Citations

0