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Big Data-based analysis report on world’s top container shipping routes and ship types

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Big Data-based analysis report on world’s top container shipping routes and ship types

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This paper is written by the Shipping & Port Big Data Laboratory (SPBD-Lab) of the Shanghai International Shipping Institute (SISI). In this report, the SPBD-Lab first divides the world into 31 regions, and then analyzes and studies the shipping routes defined by different combinations of ships connecting these regions, excluding those without any shipping capacity (334 shipping routes).  Then the SPBD-Lab figures out a corresponding performance indicator through comprehensive calculation of various data of each ship type sailing on the shipping routes. The indicator takes into account a slew of factors, such as ship busyness, proportion of newly commissioned ships, speed and shipping capacity to measure whether a ship type is popular on a shipping line, which can serve as a reference for shipping companies when they put ships into service.

This paper is available only in the English version.

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Support our research project, register yourself and purchase the report

This paper is written by the Shipping & Port Big Data Laboratory (SPBD-Lab) of the Shanghai International Shipping Institute (SISI). In this report, the SPBD-Lab first divides the world into 31 regions, and then analyzes and studies the shipping routes defined by different combinations of ships connecting these regions, excluding those without any shipping capacity (334 shipping routes).  Then the SPBD-Lab figures out a corresponding performance indicator through comprehensive calculation of various data of each ship type sailing on the shipping routes. The indicator takes into account a slew of factors, such as ship busyness, proportion of newly commissioned ships, speed and shipping capacity to measure whether a ship type is popular on a shipping line, which can serve as a reference for shipping companies when they put ships into service.

This paper is available only in the English version.

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