Chaos Solitons & Fractals, Год журнала: 2024, Номер 191, С. 115902 - 115902
Опубликована: Дек. 17, 2024
Язык: Английский
Ocean & Coastal Management, Год журнала: 2024, Номер 252, С. 107102 - 107102
Опубликована: Март 22, 2024
Язык: Английский
Процитировано
14
PLoS ONE, Год журнала: 2025, Номер 20(1), С. e0317487 - e0317487
Опубликована: Янв. 24, 2025
Analyzing the interactions between spot and time charter freight is crucial for maritime industry. While numerous studies have explored relationship average indices spillover effects, a gap remains in understanding deeper connections inter-regional shipping routes chartering contracts. This research investigates role of Capesize dynamics shaping regional dry bulk market, with focus on influence energy commodity price fluctuations. Utilizing TVP-VAR model, we identify distinct trends across various investment horizons. The analysis reveals that short-term spillovers dominate system, crude oil serving as consistent shock transmitter within network. China-Brazil route drives all periods, while Australia-China transitions from absorbing volatility to transmitting long-term shocks. Similarly, Tubarão-Rotterdam Bolivar-Rotterdam display comparable shifts, but volatility. These findings offer valuable insights stakeholders seeking manage risks amidst economic geopolitical uncertainties.
Язык: Английский
Процитировано
1
Transportation Research Part D Transport and Environment, Год журнала: 2025, Номер unknown, С. 104649 - 104649
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1
Journal of Transport Geography, Год журнала: 2024, Номер 120, С. 103991 - 103991
Опубликована: Авг. 31, 2024
Язык: Английский
Процитировано
9
Ocean & Coastal Management, Год журнала: 2024, Номер 251, С. 107071 - 107071
Опубликована: Март 8, 2024
Язык: Английский
Процитировано
7
Energies, Год журнала: 2025, Номер 18(3), С. 634 - 634
Опубликована: Янв. 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.
Язык: Английский
Процитировано
1
Ocean & Coastal Management, Год журнала: 2024, Номер 254, С. 107194 - 107194
Опубликована: Июнь 2, 2024
Язык: Английский
Процитировано
5
Ocean & Coastal Management, Год журнала: 2024, Номер 251, С. 107082 - 107082
Опубликована: Март 14, 2024
Язык: Английский
Процитировано
3
Acta Physica Sinica, Год журнала: 2024, Номер 73(19), С. 198901 - 198901
Опубликована: Янв. 1, 2024
Supply chain is a structure formed by the sequential processes of production and distribution, spanning from raw material suppliers to end customers. An efficient reliable supply great significance in enhancing enterprise’s market competitiveness promoting sustainable social economic development. The includes interconnected flows materials, resources, capital, information across various stages, including procurement, production, warehousing, customer service, management, financial management. By representing participants as nodes their interactions—such logistics, capital flow, other interactions—as edges, can be described characterized complex network. In recent years, using network theory methods model analyze chains has attracted increasing attention researchers. This paper systematically reviews research based on theory, providing an in-depth analysis networks terms construction, structural properties, management characteristics. First, this two kinds approaches constructing network: empirical data-based approach model-based approach. research, scholars use common databases or integrate multiple data sources identify clarify attributes, behaviors, interactions. Alternatively, models employs Barabási–Albert (BA) model, incorporating factors such node distance, fitness, edge weights, uses hypergraph construct networks. Next, summarizes properties networks, focusing topological structure, key identification, community detection, vulnerability analysis. Relevant studies explore uncovering connections between nodes, hierarchical structures, flow paths nodes. analyzing centrality, connection strength, paths, within are identified. Community detection algorithms used investigate relationships different parts positional cooperative relationships, interaction modes. Furthermore, quantitative evaluation indicators strategies proposed for robustness resilience Further explored characteristics risk propagation competition game. have employed three main methods—epidemic cascading failure agent-based model—to models, simulate spread disruption risks, mechanisms, extent These provide valuable insights developing prevention mitigation strategies. addition, game been competition, resource allocation, strategy selection among enterprises contents emerging trends methods. It demonstrates effectiveness applicability discusses challenges, how obtain accurate, comprehensive, timely data, proposes standardized processing methods, determines attributes strength relationships. not yet fully captured unique Existing assessment often fail consider dynamic nonlinear Research sufficiently integrated overlooking diversity complexity paths. asymmetry incompleteness well uncertainty, make prediction multi-party decision-making behavior more complex. also outlines several directions future research. One direction involves high-order interactions describe dynamics multi-agent integrating long short-term memory (LSTM) process long-term dependence time-series enhance evolution improve states. application reinforcement learning adaptively adjust structures according changing conditions demands, thereby improving adaptability response speed emergency situations. aims supplying development field.
Язык: Английский
Процитировано
3
Journal of Marine Science and Engineering, Год журнала: 2024, Номер 13(1), С. 53 - 53
Опубликована: Дек. 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.
Язык: Английский
Процитировано
3