The impact of opening the Arctic Northeast Passage on the global maritime transportation network pattern using AIS data

Mou, Naixia; Li, Jie; Sun, Shuyue; Yang, Tengfei; Zhang, Lingxian; Zhang, Hengcai; Liu, Wenbao

doi:10.1007/s12517-020-05432-5

Cited by 9 publications

(3 citation statements)

References 29 publications

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“…(4) Other novel datasets, such as the automatic identification system (AIS) and remote sensing, are increasingly used and have great potential for tracing and estimating trade flows (Kapsar et al 2023). AIS is an automatic tracking system that uses transceivers on ships (Kapsar et al 2022b), which can provide rich and real-time ship locations and movement trajectories (Mou et al 2020). In addition, remotely sensed satellite imagery can also be used to detect and classify container ships and cargo trucks (Fisser et al 2022, Polinov et al 2022, Shao et al 2023.…”

Section: Trade-related Flowsmentioning

confidence: 99%

Transboundary flows in the metacoupled Anthropocene: typology, methods, and governance for global sustainability

Li,

Jia,

et al. 2023

E&S

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The world has become increasingly metacoupled through flows of materials, energy, people, capital, and information within and across systems. Transboundary flows, connecting adjacent and distant systems, are deemed the most critical indicators for measuring the intensity of interactions among coupled human-natural systems. To advance metacoupling flow research and governance, we make the first attempt to develop a typology of transboundary flows using six flow attributes (i.e., type, magnitude, direction, distance, time, and mode). Furthermore, we synthesize a portfolio of quantitative and practical methods for characterizing transboundary flows. To effectively govern transboundary flows for global sustainability and resilience, we highlight the need to recognize the shared risks and goals embedded in the interlinkages, use system thinking, and enhance multilateral cooperation.

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Section: Trade-related Flowsmentioning

confidence: 99%

Transboundary flows in the metacoupled Anthropocene: typology, methods, and governance for global sustainability

Li,

Jia,

et al. 2023

E&S

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“…PageRank was originally designed to measure the importance of specific webpages relative to other webpages in a search engine. Later, it was introduced into complex network analysis to measure the importance of nodes [41]. Compared with centrality indicators such as node degree and weighted degree, PageRank can achieve a more comprehensive consideration of a target node's network status.…”

Section: ) Pagerankmentioning

confidence: 99%

Extracting Network Patterns of Tourist Flows in an Urban Agglomeration Through Digital Footprints: The Case of Greater Bay Area

Mou

2022

IEEE Access

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“…The Arctic SIE is closely monitored because it affects weather patterns and has economic impacts, such as opening new summer marine routes between the Atlantic and Paci c Oceans through the Northwest Passage (Somanathan et al 2009) and Northeast Passage (Mou et al 2020). This affects the Northern Hemisphere population in several ways.…”

Section: Introductionmentioning

confidence: 99%

Arctic and Antarctic Sea Ice Extent Forecasting using hybrid LSTM Techniques

Sureja

2024

Preprint

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Recent changes in global climate patterns have triggered the melting of polar sea ice, especially in Arctic regions. A decrease in the extent of sea ice is observed at a much faster rate than previously expected. The Antarctic region, on the other hand, has shown a stable sea ice pattern throughout the last few decades. However, the southern polar region is not completely unaffected. Recent studies of the Bellingshausen and Amundsen Seas have shown a downward trend in sea ice. The extent of sea ice is crucial for regulating global climate patterns, ocean circulation and human activities, including shipping and fishing. Hence, forecasting sea ice extent is vital for global economy planning and climatology studies. In this paper, time-series forecasting of 5 Antarctic and Arctic regions is evaluated using a hybrid convolutional long short-term memory (ConvLSTM) and a bidirectional long short-term memory (LSTM) and compared with a standalone long short-term memory (LSTM). This study uses regional sea ice extent data rather than considering the extent across entire hemispheres. Evaluation metrics such as the root mean squared error (RMSE) and mean absolute error (MAE) are used to compare the performances of the models. With lower RMSE scores across all lead times, the proposed hybrid models show better performance in regional sea ice forecasting than does the standalone LSTM. The study also indicated that the climatic conditions of a particular region play a crucial role in forecasting efficiency, especially at longer lead times.

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The impact of opening the Arctic Northeast Passage on the global maritime transportation network pattern using AIS data

Cited by 9 publications

References 29 publications

Transboundary flows in the metacoupled Anthropocene: typology, methods, and governance for global sustainability

Transboundary flows in the metacoupled Anthropocene: typology, methods, and governance for global sustainability

Extracting Network Patterns of Tourist Flows in an Urban Agglomeration Through Digital Footprints: The Case of Greater Bay Area

Arctic and Antarctic Sea Ice Extent Forecasting using hybrid LSTM Techniques

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