AIS-based geospatial analysis on spot contract of dry bulk carriers

The dry bulk shipping market is highly competitive, with many small-scale ship owners engaging in short-term contracts. However, ship owners often find it challenging to acquire new fixtures after each voyage, and there is a risk of wasting time and cost on looking for a new fixture. This study aims to explore how to improve the use of vessels in the dry bulk spot market by avoiding the risk of wasting time. We construct a database to explore where and when vessels get new fixtures during their voyage by combining the automatic identification system and fixture data. The data shows ships without new fixtures during a previous laden voyage spent more time ballasting than those with new fixtures. For ships without new fixtures during a previous laden voyage, we confirm that the elapsed time from discharge and sailing distance to loading areas are critical for vessels in selecting their next destinations by developing a multinomial logit model. A simple simulation of sailing at different speeds from different discharging ports shows potential strategies, such as vessel speed and direction of the navigation, to improve the probability of getting a new fixture.

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Publication Details

Journal
Research in Transportation Business & Management
Published
2025-02-18
DOI
https://doi.org/10.1016/j.rtbm.2025.101315
Citations
2
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
2.29

Funders

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article

AIS-based geospatial analysis on spot contract of dry bulk carriers

Trang Tran, Liwen Murong, Ryuichi Shibasaki, Lei Liu
2 citations
Research in Transportation Business & Management
Maritime Navigation and Safety
2.29
article

AIS-based geospatial analysis on spot contract of dry bulk carriers

Trang Tran, Liwen Murong, Ryuichi Shibasaki, Lei Liu
article en
2 citations

Abstract

The dry bulk shipping market is highly competitive, with many small-scale ship owners engaging in short-term contracts. However, ship owners often find it challenging to acquire new fixtures after each voyage, and there is a risk of wasting time and cost on looking for a new fixture. This study aims to explore how to improve the use of vessels in the dry bulk spot market by avoiding the risk of wasting time. We construct a database to explore where and when vessels get new fixtures during their voyage by combining the automatic identification system and fixture data. The data shows ships without new fixtures during a previous laden voyage spent more time ballasting than those with new fixtures. For ships without new fixtures during a previous laden voyage, we confirm that the elapsed time from discharge and sailing distance to loading areas are critical for vessels in selecting their next destinations by developing a multinomial logit model. A simple simulation of sailing at different speeds from different discharging ports shows potential strategies, such as vessel speed and direction of the navigation, to improve the probability of getting a new fixture.

Research in Transportation Business & ManagementVol. 59
Bunkyo University (JP), Nanyang Technological University (SG), The University of Tokyo (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 15%
Maritime Navigation and Safety
2.29
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AIS-based geospatial analysis on spot contract of dry bulk carriers — Trang Tran, Liwen Murong, et al. · Research in Transportation Business & Management (2025) | TGRS Research Map | TGRS