Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions

ZH Munim, M Dushenko, VJ Jimenez… - Maritime Policy & …, 2020 - Taylor & Francis
This study provides a bibliometric review of 279 studies on the applications of big data and
artificial intelligence (AI) in the maritime industry, published in 214 academic outlets …

How big data enriches maritime research–a critical review of Automatic Identification System (AIS) data applications

D Yang, L Wu, S Wang, H Jia, KX Li - Transport Reviews, 2019 - Taylor & Francis
The information-rich vessel movement data provided by the Automatic Identification System
(AIS) has gained much popularity over the past decade, during which the employment of …

[HTML][HTML] Global economic impacts of COVID-19 lockdown measures stand out in high-frequency shipping data

J Verschuur, EE Koks, JW Hall - PloS one, 2021 - journals.plos.org
The implementation of large-scale containment measures by governments to contain the
spread of the COVID-19 virus has resulted in large impacts to the global economy. Here, we …

Port disruptions due to natural disasters: Insights into port and logistics resilience

J Verschuur, EE Koks, JW Hall - … research part D: transport and environment, 2020 - Elsevier
Ports are located in low-lying coastal and riverine areas making them prone to the physical
impacts of natural disasters. The consequential disruptions can potentially propagate …

AIS in maritime research

M Svanberg, V Santén, A Hörteborn, H Holm… - Marine Policy, 2019 - Elsevier
Although not originally developed for research use, the Automatic Identification System (AIS)
enables its data to be used in research. The present paper provides a structured overview of …

[图书][B] World seaborne trade in real time: A proof of concept for building AIS-based nowcasts from scratch

DA Cerdeiro, MDA Cerdeiro, A Komaromi, Y Liu… - 2020 - books.google.com
Maritime data from the Automatic Identification System (AIS) have emerged as a potential
source for real time information on trade activity. However, no globally applicable end-to-end …

How liner shipping heals schedule disruption: A data-driven framework to uncover the strategic behavior of port-skipping

L Zhang, D Yang, X Bai, K Lai - … Part E: Logistics and Transportation Review, 2023 - Elsevier
Abstract Service disruption hurts the reliability of liner shipping schedules and the lack of
high-quality data impedes research on schedule recovery in liner shipping. With the support …

The impact of an EU maritime emissions trading system on oil trades

P Cariou, E Lindstad, H Jia - Transportation Research Part D: Transport and …, 2021 - Elsevier
Maritime transportation will be included in 2022 into the European Union Emission Trading
System (ETS). There is however a limited knowledge on the impact of this inclusion for …

[HTML][HTML] Assessing impacts to maritime shipping from marine chokepoint closures

LF Pratson - Communications in Transportation Research, 2023 - Elsevier
Global supply chain disruptions caused by the six-day blockage of the Suez Canal in March
2021 and the reduction in shipping through the Bosporus Strait since the onset of the …

[HTML][HTML] Generating bunkering statistics from AIS data: A machine learning approach

G Fuentes - Transportation Research Part E: Logistics and …, 2021 - Elsevier
In shipping, the optimization of the bunkering location is dependent on price, deviation from
the planned route and the cost of delays incurred by the bunkering operation itself. Despite …