Contextualizing uncontrolled oil trade flows: A novel categorization

Hatipoğlu, Emre; Al-Suwailem, Majed; Muhsen, Abdel Rahman; Muhanna, Saleh Al

doi:10.1016/j.egyr.2022.03.165

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…However, the illicit oil flows are not officially recorded in that level of detail, so the current data are not appropriate for systematic analysis. To overcome this challenge, a proxy variable was selected i.e., a variable based on all the hostile acts against tankers because they disrupt directly or implicitly the supply of legitimate oil transportations in favor of illicit oil flows (Hatipoglu et al, 2022 ). In most cases, delaying fossil fuel transportation was the mildest repercussion, reaching total oil loss in the worst-case scenario.…”

Section: Data and Empirical Methodologiesmentioning

confidence: 99%

Discovering maritime-piracy hotspots: a study based on AHP and spatio-temporal analysis

et al. 2023

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Shipping is the backbone of international trade and oil companies want their oil tankers to arrive safely. The safety and security of international shipping of crucial elements such as oil has always been important aspect in the landscape of piracy. The implications of piracy attacks are linked with loss of cargo or personnel, economic and environmental catastrophe. Despite maritime piracy being a major concern to international trade, no comprehensive study considers the causing factors and spatio-temporal patterns that influence the choice of attack areas. Thus, this research expands our understanding on the areas where piracy mainly occurs, and its underlying causes. To achieve these objectives, AHP and spatio-temporal analysis applied by using data from the National Geospatial-Intelligence Agency. The results indicate that territorial waters are preferable areas; thus, pirates prefer to attack the ships close to the coastline fewer times near ports, and rarely in international waters. This is in line with the spatio-temporal analysis results that show that pirates except for the Arabian sea prefer to hit close to the coastline of countries that face political instability, lack of properly functioning government and extreme poverty. Moreover, pirates in certain areas are influenced by the activity and the information from other pirates, which can be used as tool from the authorities e.g., derive information from pirates that have been arrested. Overall, this study contributes on the literature of maritime piracy, and it could be used to enhance security and build tailored defense strategies in perilous water areas.

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Section: Data and Empirical Methodologiesmentioning

confidence: 99%

Discovering maritime-piracy hotspots: a study based on AHP and spatio-temporal analysis

et al. 2023

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“…The study uses a database from the National Geospatial-Intelligence Agency [37], which records all hostile acts against ships and seafarers worldwide.…”

Section: Data Descriptionmentioning

confidence: 99%

On Global Maritime Oil Piracy: An Association Rules Analysis

Alexopoulos

2023

Preprint

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Maritime piracy is a global problem that disrupts oil flows and products. This research attempts to identify potential association rules between the features of hostile acts against tankers. To that end, the Apriori algorithm is used. We use data from the National Geospatial-Intelligence Agency and modify them in a basket case style. Essential features of an attack are examined, such as the closeness to the coasts, the cruising status of the tankers, and the time neighboring other attacks. It is found that success is strongly coupled with the safety of the attack by striking near the coast and anchored tankers. The produced association rules include different time-neighboring conditions and no values regarding the attack month. This implies no strong preference for starting an attack, close or far from a previous episode, and no seasonality.

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On global maritime oil piracy: an association rules analysis

Alexopoulos

2023

Energy Syst

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Maritime piracy is a global problem that disrupts oil flows and products. This research attempts to identify potential association rules between the features of hostile acts against tankers. To that end, the Apriori algorithm is used. We use data from the National Geospatial-Intelligence Agency and modify them in a basket case style. Essential features of an attack are examined, such as the closeness to the coasts, the cruising status of the tankers, and the time neighboring other attacks. Despite the perception we have of them, it turns out that pirates follow conservative strategies. It is found that success is strongly coupled with the safety of the attack by striking near the coast and on anchored tankers. The produced association rules include different time-neighboring conditions and no values regarding the attack month. This implies no strong preference for starting an attack, close or far from a previous episode, and no seasonality.

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Contextualizing uncontrolled oil trade flows: A novel categorization

Cited by 4 publications

References 11 publications

Discovering maritime-piracy hotspots: a study based on AHP and spatio-temporal analysis

Discovering maritime-piracy hotspots: a study based on AHP and spatio-temporal analysis

On Global Maritime Oil Piracy: An Association Rules Analysis

On global maritime oil piracy: an association rules analysis

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