EDBT 2026 Demo / reviewers in the wild / expert
Kenta Kowatari
dblp:397/8583
· DBLP profile ↗
2ranked-venue papers in the field
1as first author
2since 2021 · last 2025
—ORCID · none
Domains — venue-derived; a paper can count in several
Big Data, Cloud & Distributed Data Systems · 2 (1 first)
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Schedule Recovery Strategies in Container Liner Shipping Networks Using Multi-Agent Simulations
Kenta Kowatari, Ryuichi Shibasaki |
IEEE Big Data | 1 |
| 2024 | On Vessel Schedule Delay and Its Recoveries in Liner Services Using AIS DataabstractMaintaining the reliability of maritime transport is important as it plays an essential role in the world’s logistics. Shipping companies must also ensure the quality of liner service from the viewpoint of punctuality, as failure to take appropriate action against transport delays can lead to significant financial losses. This study quantitatively analyzes the behavior of containerships in response to global transport delays in 2021 caused by the COVID-19 pandemic using Automatic Identification System (AIS) data and port call history data. This study first comprehensively reveals the delay of containerships in 2021 by highlighting the increased variability in vessel arrival times, decreased handling capacities in specific ports, and increased navigation and anchorage times. Subsequently, this study clarifies how vessels recovered their schedule by increasing ship speeds or skipping some ports. We found vessel speeds susceptible depending on their delay in some specific voyages, such as long-distance cross-regional navigation. Eisuke Watanabe, Sukanya Samanta, Kenta Kowatari, Ryuichi Shibasaki |
IEEE Big Data | 3 |