Emissions from container vessels in the port of Singapore
Emissions from ships have negative effects on both humans and the environment, particularly in port areas. This paper develops a bottom-up activity-based model to compute emissions from container vessels within the boundaries of the port of Singapore. The input data is nearly 2 million Automatic Identification System (AIS) signals recording ship calls and various ship specifications. The paper analyses the container vessel segment by compiling a comprehensive emission profile by vessel size, port call time and carriers. This generates new insights in the dynamics and sources of ship emissions. The results show that the majority of emissions were produced by ship calls of shorter than 2 days, and 46% of the total emissions were produced by container feeder vessels as a result of Singapore port being a major international transhipment hub and the more frequent visits from such vessels. The study also indicates stable distribution of emissions over the year, suggesting seasonality does not play a major role in container shipping operations.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/2899960
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Supplemental Notes:
- © 2021 Informa UK Limited, trading as Taylor & Francis Group. Abstract republished with permission of Taylor & Francis.
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Authors:
- Tran, Nguyen Khoi
- Lam, Jasmine Siu Lee
- Jia, Haiying
- Adland, Roar
- Publication Date: 2022-4
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 306-322
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Serial:
- Maritime Policy & Management
- Volume: 49
- Issue Number: 3
- Publisher: Taylor & Francis
- ISSN: 0308-8839
- EISSN: 1464-5254
- Serial URL: http://www.tandfonline.com/loi/tmpm20
Subject/Index Terms
- TRT Terms: Containerships; Identification systems; Pollutants
- Identifier Terms: Port of Singapore
- Subject Areas: Environment; Marine Transportation; Vehicles and Equipment;
Filing Info
- Accession Number: 01851758
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 18 2022 4:48PM