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Project Database
Project Reference: ITP/055/24LP
Project Title: Uncovering the Dynamical Landscape of Shipping Networks through Big Data Analytics
Hosting Institution: LSCM R&D Centre (LSCM)
Abstract: The project is segmented into two parts. The first section concentrates on developing four
analytical tools that utilize Automatic Identification System (AIS) data. These tools aim to
extract information regarding vessel port visit sequences, occurrences of skipped or
added ports, and the evolving spatial features within global shipping operations across
different time periods. The subsequent part employs machine learning models to evaluate
how shipping variables, which mirror the economic dynamics of the shipping sector,
influence changes in freight rates and to scrutinize the effects of geopolitical factors. The
deliverables aim to enhance understanding of shipping operations, predict freight rates,
and provide valuable insights into the influence of geopolitical events on the shipping
industry.
Project Coordinator: Dr Venus Lun
Approved Funding Amount: HK$ 2.77M
Project Period: 1 Feb 2025 - 31 July 2026
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