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Peer-reviewedCC BYApplied Energy

Spatiotemporal ship carbon emission exploitation and low-carbon shipping pathway evaluation

  • Xinqiang Chen1,2
  • Y Zhang1
  • Zhen Feng3
  • Haitao Zhang4
  • Salvatore Antonio Biancardo5
  • Wen‐Long Shang6,7
7 affiliations
  1. 1Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
  2. 2Shanghai Ship and Shipping Research Institute Co., Ltd, Shanghai 201306, China
  3. 3Facilities Management Division (Gas Management Division), Shanghai Municipal Commission of Housing and Urban-Rural Development and Management, Shanghai 200003, China
  4. 4College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
  5. 5Department of Civil, Construction and Environmental Engineering (DICEA), University of Naples Federico II, Naples 80125, Italy
  6. 6Department of Civil and Environmental Engineering, Imperial College London, SW7 2AZ London, UK
  7. 7Institute for Transport Studies, University of Leeds, 34-40 University Road, Leeds LS2 9JT, UK
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Abstract

Against the background of the global low-carbon transition in the transportation sector, greenhouse gas (GHG) emissions from the maritime industry pose a significant challenge to achieving the sector's decarbonization goals. Accurately quantifying and characterizing these emissions is a fundamental prerequisite for formulating effective emission reduction strategies. This study integrates multi-source maritime data and employs a power-based method and a combined spatial allocation model to construct a high-resolution spatiotemporal inventory of ship carbon footprints across complete operational cycles. Notably, the inventory accounts for non-calling vessels that anchor but ultimately depart without berthing. Furthermore, this study constructs multiple emission reduction scenarios from the dual dimensions of operational optimization and energy technology upgrades to comprehensively evaluate the decarbonization potential and emission reduction effectiveness of various strategies. The results indicate that significant disparities in emission profiles between the two studied ports stem from differences in arriving vessel types and operational modes. Emissions from non-calling vessels reached 46,843 tons, accounting for nearly 9% of total emissions in the study area, making their management an indispensable component of carbon governance within the port district. Scenario evaluations demonstrate that the Virtual Arrival policy effectively reduces anchorage emissions from tramp ships, but achieving systemic deep decarbonization fundamentally relies on comprehensive energy substitution. These findings provide a practical scientific basis for advancing green shipping.

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Cite

BibTeXRIS
BibTeX
@article{chen2026spatiotemporal,
  title = {{Spatiotemporal ship carbon emission exploitation and low-carbon shipping pathway evaluation}},
  author = {Xinqiang Chen and Y Zhang and Zhen Feng and Haitao Zhang and Salvatore Antonio Biancardo and Wen‐Long Shang},
  journal = {Applied Energy},
  year = {2026},
  month = jun,
  doi = {10.1016/j.apenergy.2026.128334},
  url = {https://doi.org/10.1016/j.apenergy.2026.128334},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Spatiotemporal ship carbon emission exploitation and low-carbon shipping pathway evaluation
AU  - Xinqiang Chen
AU  - Y Zhang
AU  - Zhen Feng
AU  - Haitao Zhang
AU  - Salvatore Antonio Biancardo
AU  - Wen‐Long Shang
PY  - 2026
DA  - 2026/06/30
JO  - Applied Energy
DO  - 10.1016/j.apenergy.2026.128334
UR  - https://doi.org/10.1016/j.apenergy.2026.128334
AB  - Against the background of the global low-carbon transition in the transportation sector, greenhouse gas (GHG) emissions from the maritime industry pose a significant challenge to achieving the sector's decarbonization goals. Accurately quantifying and characterizing these emissions is a fundamental prerequisite for formulating effective emission reduction strategies. This study integrates multi-source maritime data and employs a power-based method and a combined spatial allocation model to construct a high-resolution spatiotemporal inventory of ship carbon footprints across complete operational cycles. Notably, the inventory accounts for non-calling vessels that anchor but ultimately depart without berthing. Furthermore, this study constructs multiple emission reduction scenarios from the dual dimensions of operational optimization and energy technology upgrades to comprehensively evaluate the decarbonization potential and emission reduction effectiveness of various strategies. The results indicate that significant disparities in emission profiles between the two studied ports stem from differences in arriving vessel types and operational modes. Emissions from non-calling vessels reached 46,843 tons, accounting for nearly 9% of total emissions in the study area, making their management an indispensable component of carbon governance within the port district. Scenario evaluations demonstrate that the Virtual Arrival policy effectively reduces anchorage emissions from tramp ships, but achieving systemic deep decarbonization fundamentally relies on comprehensive energy substitution. These findings provide a practical scientific basis for advancing green shipping.
SN  - 0306-2619
SN  - 1872-9118
ER  -