Data-Driven Analysis of Regional Ship Carbon Emission Reduction: The Bohai Bay Area Case Study

Yangning Ning, Tao Li, Libo Yang and Bing Chen ()
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Yangning Ning: Environmental Protection Center for the Ministry of Transport, Beijing 100000, China
Tao Li: Environmental Protection Center for the Ministry of Transport, Beijing 100000, China
Libo Yang: Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
Bing Chen: Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China

Sustainability, 2025, vol. 17, issue 3, 1-23

Abstract: With the tightening of marine carbon emission reduction policies, the sustainable development of the shipping industry has attracted much attention, and it is of great significance to use Automatic Identification System (AIS) big data to study the carbon emissions of marine ships. Taking ships around Bohai Bay as the research object, this paper constructs a calculation method of ship carbon emissions driven by the ship AIS trajectory. The AIS information of ships is extracted, and the sailing status is determined. The carbon emission calculation model is built based on the AIS data, the carbon emission in 2023 is empirically measured, and the characteristics are analyzed. At the same time, a speed simulation model was built to evaluate the impact of speed reduction on carbon emissions and put forward emission reduction measures. The results show that the carbon emission of ships around Bohai Bay in 2023 was 8.8072 million tons, with cargo ships contributing the most, and the carbon emissions of the cruise state was significant. A 10% reduction in speed would reduce annual carbon emissions by about 6%. This study provides a reference for understanding the impact of speed on carbon emissions and formulating emission reduction measures, which can be used to compare historical and future data to support the emission reduction in ports and shipping enterprises.

Keywords: ship carbon emission; sustainable shipping; AIS data; emission management; green shipping (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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