Maritime piracy and armed robbery analysis in the Straits of Malacca and Singapore through the utilization of natural language processing DOI
Muhammad I. Fahreza, Enna Hirata

Maritime Policy & Management, Год журнала: 2024, Номер unknown, С. 1 - 14

Опубликована: Ноя. 16, 2024

Piracy and armed robbery have become serious problems in maritime economic activities, particularly the Straits of Malacca Singapore. These crimes occur due to various influential factors, necessitating analysis through incident reports. This study aims identify factors influencing piracy these areas using natural language processing (NLP) technologies. Data were obtained from reports compiled by relevant organizations such as Global Integrated Shipping Information System (GISIS) International Maritime Organization (IMO) Annual Reports on Armed Robbery Regional Cooperation Agreement Combating against Ships Asia (ReCAAP). data reconstructed NLP further analyzed Bidirectional Encoder Representations Transformer (BERT) model derivative, BERTopic. Several topics analysis, suggesting key outcome incidents. will serve basis for suggestions solution provisions that can be effectively applied utilized decrease frequency success rate future. The findings provide crucial insights developing strategies mitigate impact criminal activities activities.

Язык: Английский

Framework for process risk analysis of maritime accidents based on resilience theory: A case study of grounding accidents in Arctic waters DOI
Yuerong Yu, Kezhong Liu, Shanshan Fu

и другие.

Reliability Engineering & System Safety, Год журнала: 2024, Номер 249, С. 110202 - 110202

Опубликована: Май 17, 2024

Язык: Английский

Процитировано

18

A novel object-oriented Bayesian network on risk assessment of sea lanes of communication DOI
Hanwen Fan, Jing Lyu,

Xuzhuo He

и другие.

Ocean Engineering, Год журнала: 2024, Номер 300, С. 117347 - 117347

Опубликована: Март 14, 2024

Язык: Английский

Процитировано

8

How do navy escorts influence piracy risk in East Africa? A Bayesian network approach DOI
Hanwen Fan, Zheng Chang,

Haiying Jia

и другие.

Risk Analysis, Год журнала: 2024, Номер 44(9), С. 2025 - 2045

Опубликована: Март 1, 2024

Abstract Navy escorts are considered crucial in countering illegal piracy attacks. In this paper, a novel approach is developed to investigate the effect of navy on incidents by models based two enhanced Tree‐Augmented Naïve (TAN) Bayesian networks. This offers systematic investigation into various factors that influence pirate activities, and helps identify changes attack behaviors when confronted assess effectiveness anti‐piracy measures. An empirical study conducted utilizing unique data set compiled from multiple sources 2000 2019. The evidence shows there was gradual reduction incidence attacks East Africa following implementation 2009, but with surge 2010 2011. is, thus, divided time periods at point 2009 facilitate robust comprehensive analysis, resulting development TAN models. Meanwhile, geographical distribution has shifted international waters port areas territorial waters. We argue shift could be attributed calculating behavior pirates they encounter external pressures. Finally, Shapely introduced evaluate potential implemented risk management strategies Game Theory perspective. new insights promotion contributes framework for assessing risks uncertain dynamic environments.

Язык: Английский

Процитировано

6

COLREGs-Adaptive trajectory planning and decision-making in maritime autonomous surface ships DOI

Zhepeng Han,

Da Wu, Jinfen Zhang

и другие.

Ocean Engineering, Год журнала: 2024, Номер 312, С. 119308 - 119308

Опубликована: Сен. 26, 2024

Язык: Английский

Процитировано

4

A comprehensive assessment of the importance of the “Maritime Silk Road” route based on multi-dimensional data-driven approaches DOI
Peng Wang, Qinyou Hu, Lu Bai

и другие.

Ocean & Coastal Management, Год журнала: 2024, Номер 256, С. 107297 - 107297

Опубликована: Июль 23, 2024

Язык: Английский

Процитировано

3

Study of tropical cyclone wave characteristics based on a hybrid track clustering method DOI
Jiaqian Li, Zhuxiao Shao, Bingchen Liang

и другие.

Ocean & Coastal Management, Год журнала: 2024, Номер 259, С. 107448 - 107448

Опубликована: Окт. 21, 2024

Язык: Английский

Процитировано

3

An examination of the pirate cycle theory: insights from modern piracy dynamics DOI
Nusret Soğancılar, Ahmed Yusuf SARIHAN

Maritime Policy & Management, Год журнала: 2025, Номер unknown, С. 1 - 20

Опубликована: Март 4, 2025

Язык: Английский

Процитировано

0

Causation analysis of ship collisions using a TM-FRAM model DOI Creative Commons

Yuhong Wang,

Pengchang Li,

Cheng Hong

и другие.

Reliability Engineering & System Safety, Год журнала: 2025, Номер unknown, С. 111035 - 111035

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

A Data-Driven Framework for Risk and Resilience Analysis in Maritime Transportation Systems: A Case Study of Domino Effect Accidents in Arctic Waters DOI
Shanshan Fu,

Qinya Tang,

Mingyang Zhang

и другие.

Reliability Engineering & System Safety, Год журнала: 2025, Номер unknown, С. 111049 - 111049

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Maritime security threats: Classifying and associating patterns in piracy and armed robbery incidents DOI
Coşkan Sevgili, Erkan Çakır, Remzi Fışkın

и другие.

Ocean & Coastal Management, Год журнала: 2025, Номер 266, С. 107685 - 107685

Опубликована: Апрель 15, 2025

Язык: Английский

Процитировано

0