Exploring the factors affecting the performance of shipping companies based on a panel data model: A perspective of antitrust exemption and shipping alliances

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 253, P. 107162 - 107162

Published: April 26, 2024

Language: Английский

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A data mining method to extract traffic network for maritime transport management

Ocean & Coastal Management, Journal Year: 2023, Volume and Issue: 239, P. 106622 - 106622

Published: May 1, 2023

Maritime traffic network is essential for navigation efficiency and safety of the maritime transport system. This study proposes a framework extracting based on Automatic Identification System (AIS) data. The consists pattern recognition, semantic routes extraction, route decomposition, generation. Firstly, data-driven method introduced to recognize ship behavior patterns extends single behaviors regional characteristics determine departure-arrival areas. Then, different combination areas, trajectories are classified groups. Subsequently, grid-system used rasterize each group, which realizes fusion trajectory data geographic location information. Finally, obtain main channels, extraction by establishing cumulative grid importance function. routes, together with compose network. applied AIS in Beibu Gulf, results show that contains 12 stop 4 entry/exit locations, 13 as well their corresponding channels. It therefore concluded proposed helps (1) provide theoretical analyze (2) enrich channel identification methods management.

Language: Английский

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How does the initiative of 21st century maritime silk road incentive logistics development in China's coastal region?

Ocean & Coastal Management, Journal Year: 2023, Volume and Issue: 239, P. 106606 - 106606

Published: April 12, 2023

Language: Английский

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Spatial-temporal heterogeneity of global ports resilience under Pandemic: a case study of COVID-19

Maritime Policy & Management, Journal Year: 2023, Volume and Issue: 51(8), P. 1655 - 1668

Published: June 14, 2023

As a major global public health emergency, the COVID-19 epidemic has had significant impact on development of port operation. Based data from 1 January 20191 2019 to 31 December 202231 2022, this study utilizes spatial autocorrelation and local measure evaluate resistance resilience ports. From outcomes, we find that overall level for ports is relatively low, further have not been effectively restored adjusted, in world generally heterogeneous. In addition, temporary, where significantly improved after end 2021, most recovered positive trend 2022. Meanwhile, correlation response effect epidemic.

Language: Английский

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An overview of scholarly literature on navigation hazards in Arctic shipping routes

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 31(28), P. 40419 - 40435

Published: Sept. 4, 2023

Language: Английский

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An environmental and economic investigation of shipping network configuration considering the maritime emission trading scheme

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 249, P. 107013 - 107013

Published: Jan. 13, 2024

Language: Английский

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Sustainable resource management and green economic growth: A global prospective

Resources Policy, Journal Year: 2024, Volume and Issue: 89, P. 104634 - 104634

Published: Jan. 16, 2024

Language: Английский

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Subsidy policy optimization of multimodal transport on emission reduction considering carrier pricing game and shipping resilience: A case study of Shanghai port

Ocean & Coastal Management, Journal Year: 2023, Volume and Issue: 243, P. 106760 - 106760

Published: July 30, 2023

Language: Английский

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Federated learning for green shipping optimization and management

Advanced Engineering Informatics, Journal Year: 2023, Volume and Issue: 56, P. 101994 - 101994

Published: April 1, 2023

Language: Английский

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Analysis of Carbon Emission Reduction at the Port of Integrated Logistics: The Port of Shanghai Case Study

Sustainability, Journal Year: 2023, Volume and Issue: 15(14), P. 10914 - 10914

Published: July 12, 2023

With the goal of achieving carbon neutrality in shipping industry, issue sustainable port development is becoming more and valued by authorities. The industry requires effective emission reduction analysis frameworks. This paper takes China’s Shanghai Port as research object analyzes it from perspective port-integrated logistics. Combined with data 2008 to 2022, principal component gray correlation model was used screen factors affecting port’s emissions, three calculation models for Port’s sources were proposed. In addition, an expanded stochastic impact based on regression population, affluence, technology (STIRPAT) constructed influencing dioxide emissions combined method ridge further identify important factors. At same time, a neural network established predict 2021 2030 compare them their real value. conclusion shows that there close relationship between container throughput, throughput energy consumption, number berths, total foreign trade import export, net profit attributable parent company. Gray calculations show growth rate will gradually slow down next ten years until peak completed around 2033. study can provide reference other ports.

Language: Английский

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