Estimation Method to Determine Shipment Size of Iron Ore Trade in Maritime Transport

Maritime transport data released by governments, consultants, and other organizations are essential in preparing various logistics plans and policies. In international cargo flow data pertaining to ports, aggregate data, such as annual and monthly statistics of imports and exports are commonly published. However, certain port authorities and data distribution agencies publish detailed data, such as shipment sizes (payload) of ships calling at ports. In this study, the authors estimated the shipment sizes using machine learning based on detailed iron ore trade data and automatic identification system (AIS) data. Additionally, the authors developed a method to adjust the estimates by applying a matrix-balancing technique to improve the accuracy of the obtained estimates.

• Record URL:
  • https://doi.org/10.11175/easts.14.975
• Record URL:
  • https://www.jstage.jst.go.jp/article/easts/14/0/14_975/_pdf
• Record URL:
  • https://scholar.google.com/scholar_lookup?title=Estimation%20Method%20to%20Determine%20Shipment%20Size%20of%20Iron%20Ore%20Trade%20in%20Maritime%20Transport&author=H.%20KOSAKA&author=T.%20TEZUKA&author=T.%20ARATANI&publication_year=2022
• Authors:
  • KOSAKA, Hiroyuki
  • TEZUKA, Takenori
  • ARATANI, Taro
• Publication Date: 2022

Language

• English
• Japanese

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 975-986
• Serial:
  • Journal of the Eastern Asia Society for Transportation Studies
  • Volume: 14
  • Publisher: Eastern Asia Society for Transportation Studies
  • EISSN: 1881-1124
  • Serial URL: https://www.jstage.jst.go.jp/browse/easts/-char/en
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Cargo ships; Iron ores; Logistics; Ports; Shipping
• Subject Areas: Freight Transportation; Marine Transportation; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01854464
• Record Type: Publication
• Source Agency: Japan Science and Technology Agency (JST)
• Files: TRIS, JSTAGE
• Created Date: Aug 10 2022 4:40PM