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

Citations

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Cited by:

  1. Han, Tingting & Wan, Yulai & Yang, Dong, 2025. "Enhancing maritime cost Analysis: Identifying opportunities for cross-industry insights," Transport Policy, Elsevier, vol. 171(C), pages 1050-1063.
  2. Islam, Samsul & Shi, Yangyan & Nahar, Rezbin & Ahmed, Jashim Uddin & Wang, Michael, 2025. "Identifying and analyzing barriers to ship-based evacuation planning using AIS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 203(C).
  3. Hongze Liu & Irena Jurdana & Nikola Lopac & Nobukazu Wakabayashi, 2022. "BlueNavi: A Microservices Architecture-Styled Platform Providing Maritime Information," Sustainability, MDPI, vol. 14(4), pages 1-19, February.
  4. Harilaos N. Psaraftis & Christos A. Kontovas, 2020. "Decarbonization of Maritime Transport: Is There Light at the End of the Tunnel?," Sustainability, MDPI, vol. 13(1), pages 1-16, December.
  5. Mahdi Jahangard & Ying Xie & Yuanjun Feng, 2025. "Leveraging machine learning and optimization models for enhanced seaport efficiency," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 27(4), pages 710-751, December.
  6. Zhang, Mingyang & Kujala, Pentti & Hirdaris, Spyros, 2022. "A machine learning method for the evaluation of ship grounding risk in real operational conditions," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
  7. Yan, Ran & Wang, Shuaian & Psaraftis, Harilaos N., 2021. "Data analytics for fuel consumption management in maritime transportation: Status and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
  8. Bai, Xiwen & Hou, Yao & Yang, Dong, 2021. "Choose clean energy or green technology? Empirical evidence from global ships," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
  9. Xin, Xuri & Liu, Kezhong & Loughney, Sean & Wang, Jin & Li, Huanhuan & Ekere, Nduka & Yang, Zaili, 2023. "Multi-scale collision risk estimation for maritime traffic in complex port waters," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
  10. Safari, Ashkan & Rahimi, Afshin, 2025. "Vehicle-to-everything mode of operation technologies: A state-of-art systematic review," Applied Energy, Elsevier, vol. 398(C).
  11. Wang, Ruihan & Shang, Tianyu & Yang, Dong & Yan, Ran, 2025. "Empowering econometric methods with machine learning for policy making: A comparative study in maritime transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 200(C).
  12. Jiangjiang He & Weixun Chen & Jiaren Sun & Lin Zhu, 2025. "Integrating graph neural networks and LSTM for path optimization in smart port multi-modal systems," PLOS ONE, Public Library of Science, vol. 20(12), pages 1-22, December.
  13. Yap, Wei Yim & Hsieh, Cheng-Hsien & Lee, Paul Tae-Woo, 2023. "Shipping connectivity data analytics: Implications for maritime policy," Transport Policy, Elsevier, vol. 132(C), pages 112-127.
  14. Gast, Johannes & Binsfeld, Tom & Marsili, Francesca & Jahn, Carlos, 2021. "Analysis of the Suez Canal blockage with queueing theory," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 943-959, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  15. Yan, Ran & Yang, Dong & Wang, Tianyu & Mo, Haoyu & Wang, Shuaian, 2024. "Improving ship energy efficiency: Models, methods, and applications," Applied Energy, Elsevier, vol. 368(C).
  16. Sugrue, Dennis & Adriaens, Peter, 2021. "A data fusion approach to predict shipping efficiency for bulk carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
  17. Peng, Wenhao & Bai, Xiwen, 2022. "Prospects for improving shipping companies’ profit margins by quantifying operational strategies and market focus approach through AIS data," Transport Policy, Elsevier, vol. 128(C), pages 138-152.
  18. Bai, Xiwen & Cheng, Liangqi & Yang, Dong & Cai, Ouchen, 2022. "Does the traffic volume of a port determine connectivity? Revisiting port connectivity measures with high-frequency satellite data," Journal of Transport Geography, Elsevier, vol. 102(C).
  19. Li, Huanhuan & Xing, Wenbin & Jiao, Hang & Yuen, Kum Fai & Gao, Ruobin & Li, Yan & Matthews, Christian & Yang, Zaili, 2024. "Bi-directional information fusion-driven deep network for ship trajectory prediction in intelligent transportation systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
  20. Lorenz Kolley & Nicolas Rückert & Marvin Kastner & Carlos Jahn & Kathrin Fischer, 2023. "Robust berth scheduling using machine learning for vessel arrival time prediction," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 29-69, March.
  21. Sui, Zhongyi & Wang, Shuaian, 2025. "Traffic advisory for ship encounter situation based on linear dynamic system," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
  22. Ioannis N. Theotokas & Ioannis N. Lagoudis & Konstantina Raftopoulou, 2024. "Correction: Challenges of maritime human resource management for the transition to shipping digitalization," Journal of Shipping and Trade, Springer, vol. 9(1), pages 1-1, December.
  23. Kerbiriou, Ronan & Serry, Arnaud, 2023. "Estimation and analysis of container handling rates in European ports," Journal of Transport Geography, Elsevier, vol. 108(C).
  24. Filom, Siyavash & Amiri, Amir M. & Razavi, Saiedeh, 2022. "Applications of machine learning methods in port operations – A systematic literature review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
  25. Yang, Dong & Li, Chengkun & Wan, Yulai & Bai, Xiwen, 2025. "Internalizing congestion: the impact of market concentration and priority provision in global container ports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 201(C).
  26. Chung, Sai-Ho, 2021. "Applications of smart technologies in logistics and transport: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
  27. Wang, Yukuan & Liu, Jingxian & Liu, Ryan Wen & Wu, Weihuang & Liu, Yang, 2023. "Interval prediction of vessel trajectory based on lower and upper bound estimation and attention-modified LSTM with bayesian optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
  28. Fuentes, Gabriel & Munim, Ziaul Haque, 2025. "Climate influence on Panama Canal operations: Predicting canal water times with integrated environmental and operational data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 203(C).
  29. Yang, Xun & Tsoulakos, Nikolaos & Xiao, Zhe & Wei, Xiaoyang & Fu, Xiuju & Yan, Ran, 2025. "Estimation of shipping emissions from maritime big data: A comprehensive review and prospective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 202(C).
  30. Li, Yiliang & Bai, Xiwen & Wang, Qi & Ma, Zhongjun, 2022. "A big data approach to cargo type prediction and its implications for oil trade estimation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
  31. Li, Yuejin & Guo, Shaoqing & Chen, Pengfei & Chen, Linying & Mou, Junmin, 2026. "A stacking-based ensemble learning model for intelligent ship trajectory interpolation," Reliability Engineering and System Safety, Elsevier, vol. 265(PB).
  32. Feng, Mingxiang & Shaw, Shih-Lung & Peng, Guojun & Fang, Zhixiang, 2020. "Time efficiency assessment of ship movements in maritime ports: A case study of two ports based on AIS data," Journal of Transport Geography, Elsevier, vol. 86(C).
  33. Li, Chengkun & Cariou, Pierre & Yang, Dong, 2025. "Does voluntary carbon disclosure lead to supply chain leakage: evidence from U.S. Firms’ container carbon emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 202(C).
  34. Zhang, Jinfen & Liu, Jiongjiong & Hirdaris, Spyros & Zhang, Mingyang & Tian, Wuliu, 2023. "An interpretable knowledge-based decision support method for ship collision avoidance using AIS data," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
  35. Yang, Dong & Liao, Shiguan & Venus Lun, Y.H & Bai, Xiwen, 2023. "Towards sustainable port management: Data-driven global container ports turnover rate assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
  36. Zhong, Huiling & Lei, Mingtian & Gu, Yimiao, 2025. "Vulnerability assessment in inland waterway transportation network for hazardous materials amid demand: A case of the pearl river delta," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
  37. Zhang, Jing & Yang, Dong & Luo, Meifeng, 2024. "Port efficiency types and perspectives: A literature review," Transport Policy, Elsevier, vol. 156(C), pages 13-24.
  38. Konstantinos Poulis & Gregorios C. Galanakis & Gregory T. Triantafillou & Efthimios Poulis, 2020. "Value migration: digitalization of shipping as a mechanism of industry dethronement," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-18, December.
  39. Kei Kanamoto & Liwen Murong & Minato Nakashima & Ryuichi Shibasaki, 2021. "Can maritime big data be applied to shipping industry analysis? Focussing on commodities and vessel sizes of dry bulk carriers," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 211-236, June.
  40. Li, Lu & Wan, Yulai & Yang, Dong, 2024. "Do shipping alliances affect freight rates? Evidence from global satellite ship data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
  41. Ahmadhon Akbarkhonovich Kamolov & Suhyun Park, 2021. "Prediction of Depth of Seawater Using Fuzzy C-Means Clustering Algorithm of Crowdsourced SONAR Data," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
  42. Mazurek, J. & Lu, L. & Krata, P. & Montewka, J. & Krata, H. & Kujala, P., 2022. "An updated method identifying collision-prone locations for ships. A case study for oil tankers navigating in the Gulf of Finland," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
  43. Wu, Zhen, 2025. "Examination of inland port technical efficiency and its spillover patterns: Evidence from the Yangtze River region," Transport Policy, Elsevier, vol. 171(C), pages 595-614.
  44. Gong, Jincheng & Li, Huanhuan & Jiao, Hang & Yang, Zaili, 2025. "Uncertainty-aware ship trajectory prediction via Spatio-Temporal Graph Transformer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 203(C).
  45. Li, Huanhuan & Xing, Wenbin & Jiao, Hang & Yang, Zaili & Li, Yan, 2024. "Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
  46. Yang, Dong & Wu, Lingxiao & Wang, Shuaian, 2021. "Can we trust the AIS destination port information for bulk ships?–Implications for shipping policy and practice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
  47. Bai, Xiwen & Cheng, Liangqi & Iris, Çağatay, 2022. "Data-driven financial and operational risk management: Empirical evidence from the global tramp shipping industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
  48. Gil, Mateusz & Kozioł, Paweł & Wróbel, Krzysztof & Montewka, Jakub, 2022. "Know your safety indicator – A determination of merchant vessels Bow Crossing Range based on big data analytics," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
  49. Yang, Ying & Liu, Yang & Li, Guorong & Zhang, Zekun & Liu, Yanbin, 2024. "Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
  50. Shu, Yaqing & Han, Bingyu & Song, Lan & Yan, Tao & Gan, Langxiong & Zhu, Yuxin & Zheng, Chunmiao, 2024. "Analyzing the spatio-temporal correlation between tide and shipping behavior at estuarine port for energy-saving purposes," Applied Energy, Elsevier, vol. 367(C).
  51. Xin, Xuri & Liu, Kezhong & Loughney, Sean & Wang, Jin & Yang, Zaili, 2023. "Maritime traffic clustering to capture high-risk multi-ship encounters in complex waters," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
  52. Bai, Xiwen & Xu, Ming & Han, Tingting & Yang, Dong, 2022. "Quantifying the impact of pandemic lockdown policies on global port calls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 224-241.
  53. Zheng, Shiyuan & Jiang, Changmin, 2024. "Consortium blockchain in Shipping: Impacts on industry and social welfare," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
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