Analysis of global marine oil trade based on automatic identification system (AIS) data

Zhuang, Y; Xiao, Yijia; Cheng, Liang; Chen, Song; Zhou, Xiao; Ruan, Xiaojun; Li, Manchun; He, Rong

doi:10.1016/j.jtrangeo.2020.102637

Cited by 45 publications

(22 citation statements)

References 57 publications

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“…A similar topic was also studied in Wu et al [20]. More studies using the AIS data were well introduced by Svanberg et al [21], and the most recent studies are found in Liu et al [22], Yan et al [23], Wu et al [24], and Yan et al [25].…”

Section: Related Workmentioning

confidence: 82%

Operational Analysis of Container Ships by Using Maritime Big Data

Roh

Park

et al. 2021

JMSE

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The shipping company or the operator determines the mode of operation of a ship. In the case of container ships, there may be various operating patterns employed to arrive at the destination within the stipulated time. In addition, depending on the influence of the ocean’s environmental conditions, the speed and the route can be changed. As the ship’s fuel oil consumption is closely related to its operational pattern, it is possible to identify the most economical operations by analyzing the operational patterns of the ships. The operational records of each shipping company are not usually disclosed, so it is necessary to estimate the operational characteristics from publicly available data such as the automatic identification system (AIS) data and ocean environment data. In this study, we developed a visualization program to analyze the AIS data and ocean environmental conditions together and propose two categories of applications for the operational analysis of container ships using maritime big data. The first category applications are the past operation analysis by tracking previous trajectories, and the second category applications are the speed pattern analysis by shipping companies and shipyards under harsh environmental conditions. Thus, the operational characteristics of container ships were evaluated using maritime big data.

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Section: Related Workmentioning

confidence: 82%

Operational Analysis of Container Ships by Using Maritime Big Data

Roh

Park

et al. 2021

JMSE

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“…In international commodity trade, crude oil resources, due to their scarcity, non-renewability, geographical imbalance, and economic importance, make crude oil trade an important way to meet the demand for its consumption in most countries [5]. Marine transportation has become the preferred pathway for international crude oil trade and transportation, due to its low cost and large transport volume advantages [6]. With the continuous development of the shipping industry and the increasing availability of Automatic Identification System (AIS) sensor data [7], there is a critical opportunity to track the activities of tanker vessels and explore the temporal and spatial patterns of tanker vessel transportation.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Resilience of a Complex Network for Crude Oil Transportation on the Maritime Silk Road

et al. 2020

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“…"The Belt and Road Initiative", comprising the "Silk Road Economic Belt" and "21st Century Maritime Silk Road" (MSR), was proposed by China to promote economic trade and deepen the connection between China and its associated countries [1][2][3][4]. The MSR region is not only the lifeline of China's energy transportation [5] but also a key region in terms of maritime oil transportation [6]. The maritime oil chokepoint (MOC) is defined as the narrow channels along the widely used global sea routes by the U.S. Energy Information Administration (EIA) [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…Within the MSR and its surrounding regions, the straits of Malacca, Hormuz, Bab el-Mandeb, and the Cape of Good Hope are four MOCs. These four MOCs control the oil import of the largest oil importer, China [6,9], and the oil export of the Persian Gulf, as well as other major oil importers and exporters. Therefore, the oil flow through these four chokepoints can show the real energy transportation within the MSR and its surrounding regions directly.…”

Section: Introductionmentioning

confidence: 99%

“…These data, which include information such as the deadweight tonnage, IMO number (ship number issued by IMO), and the Maritime Mobile Service Identity (MMSI) number (ship number issued by MMSI), can be used to acquire unique ship identification and oil flow statistics. Previous studies mainly focused on ship spatial feature mining [6,24,25], ship anomaly detection [26][27][28], ship collisions [29][30][31], ship main route extraction [5,[32][33][34], geospatial pattern analysis [35,36], catching assessment [37], and environmental pollution assessment [38][39][40][41]. However, studies on the oil flow statistics of MOCs are rare.…”

Section: Introductionmentioning

confidence: 99%

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Oil Flow Analysis in the Maritime Silk Road Region Using AIS Data

Xiao

Chen

Liu

et al. 2020

IJGI

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Monitoring maritime oil flow is important for the security and stability of energy transportation, especially since the “21st Century Maritime Silk Road” (MSR) concept was proposed. The U.S. Energy Information Administration (EIA) provides public annual oil flow data of maritime oil chokepoints, which do not reflect subtle changes. Therefore, we used the automatic identification system (AIS) data from 2014 to 2016 and applied the proposed technical framework to four chokepoints (the straits of Malacca, Hormuz, Bab el-Mandeb, and the Cape of Good Hope) within the MSR region. The deviations and the statistical values of the annual oil flow from the results estimated by the AIS data and the EIA data, as well as the general direction of the oil flow, demonstrate the reliability of the proposed framework. Further, the monthly and seasonal cycles of the oil flows through the four chokepoints differ significantly in terms of the value and trend but generally show an upward trend. Besides, the first trough of the oil flow through the straits of Hormuz and Malacca corresponds with the military activities of the U.S. in 2014, while the second is owing to the outbreak of the Middle East Respiratory Syndrome in 2015.

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Analysis of global marine oil trade based on automatic identification system (AIS) data

Cited by 45 publications

References 57 publications

Operational Analysis of Container Ships by Using Maritime Big Data

Operational Analysis of Container Ships by Using Maritime Big Data

Assessment of the Resilience of a Complex Network for Crude Oil Transportation on the Maritime Silk Road

Oil Flow Analysis in the Maritime Silk Road Region Using AIS Data

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