An automatic algorithm for generating seaborne transport pattern maps based on AIS
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DOI: 10.1057/s41278-017-0075-7
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References listed on IDEAS
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Cited by:
- Prochazka, Vít & Adland, Roar & Wolff, François-Charles, 2019.
"Contracting decisions in the crude oil transportation market: Evidence from fixtures matched with AIS data,"
Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 37-53.
- Vít Prochazka & Roar Adland & François-Charles Wolff, 2019. "Contracting decisions in the crude oil transportation market: Evidence from fixtures matched with AIS data," Post-Print hal-03778166, HAL.
- Fuentes, Gabriel, 2021. "Generating bunkering statistics from AIS data: A machine learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
- Yang, Dong & Wu, Lingxiao & Wang, Shuaian, 2021. "Can we trust the AIS destination port information for bulk ships?–Implications for shipping policy and practice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
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Keywords
AIS; Trade flow; Visualization; Transport matrix;All these keywords.
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