IDEAS home Printed from https://ideas.repec.org/a/pal/marecl/v24y2022i2d10.1057_s41278-022-00213-1.html
   My bibliography  Save this article

Operational and economic advantages of autonomous ships and their perceived impacts on port operations

Author

Listed:
  • Ismail Kurt

    (İzmir Kâtip Çelebi University)

  • Murat Aymelek

    (İzmir Kâtip Çelebi University)

Abstract

Autonomous shipping has been on the agenda of the shipping industry for the last decade, and is now closer to becoming a reality more than ever. Although it is technically possible to automate ships with the developments in autonomous technologies of recent years, the effective use of Maritime Autonomous Surface Ships (MASS) depends on meeting the specific operational needs of shipping. Furthermore, autonomous ships must provide significant economic, environmental, safety, and interoperability advantages for a transition to autonomy to be feasible. This study provides a detailed assessment of the operational improvements, possible impacts, and problems that may arise in the shipping industry with the advent of MASS. In addition to this, we assess the processes that would ensure the realization of autonomous ship–port interoperability. In this context, the study discusses the transition to MASS, taking a variety of factors into account, including the acceptability of MASS, benefits and economic impacts of the transition for the shipping industry, the adaptation of vessel types, MASS–port operational interactions (considering various aspects of port operations), and the role of port authorities. Data were collected using a detailed questionnaire distributed to relevant maritime industry stakeholders. The results of this study highlight the navigational issues facing port areas, and the challenges regarding MASS–port interactions during cargo operations. The findings of this research are expected to assist efforts of successfully implementing autonomous systems in the maritime transport chain.

Suggested Citation

  • Ismail Kurt & Murat Aymelek, 2022. "Operational and economic advantages of autonomous ships and their perceived impacts on port operations," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(2), pages 302-326, June.
    • Handle: RePEc:pal:marecl:v:24:y:2022:i:2:d:10.1057_s41278-022-00213-1
    DOI: 10.1057/s41278-022-00213-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41278-022-00213-1
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41278-022-00213-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Utne, Ingrid Bouwer & Rokseth, Børge & Sørensen, Asgeir J. & Vinnem, Jan Erik, 2020. "Towards supervisory risk control of autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    2. Wróbel, Krzysztof & Montewka, Jakub & Kujala, Pentti, 2017. "Towards the assessment of potential impact of unmanned vessels on maritime transportation safety," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 155-169.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Enna Hirata & Annette Skovsted Hansen, 2024. "Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review," Logistics, MDPI, vol. 8(1), pages 1-15, February.
    2. Ziaul Haque Munim & Hercules Haralambides, 2022. "Advances in maritime autonomous surface ships (MASS) in merchant shipping," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(2), pages 181-188, June.
    3. Kurt, Ismail & Aymelek, Murat, 2024. "Operational adaptation of ports with maritime autonomous surface ships," Transport Policy, Elsevier, vol. 145(C), pages 1-10.
    4. Bornali Rahman, 2022. "Analyzing appropriate autonomous vessel for South-East Asian route: from the view of seafarers," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-19, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Jinfeng & Jin, Mei & Wan, Chengpeng & Dong, Zhijie & Wu, Xiaohong, 2024. "A Bayesian network-based model for risk modeling and scenario deduction of collision accidents of inland intelligent ships," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    2. Chang, Chia-Hsun & Kontovas, Christos & Yu, Qing & Yang, Zaili, 2021. "Risk assessment of the operations of maritime autonomous surface ships," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    3. Fan, Cunlong & Montewka, Jakub & Zhang, Di, 2022. "A risk comparison framework for autonomous ships navigation," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    4. Xiaoyuan Zhao & Haiwen Yuan & Qing Yu, 2021. "Autonomous Vessels in the Yangtze River: A Study on the Maritime Accidents Using Data-Driven Bayesian Networks," Sustainability, MDPI, vol. 13(17), pages 1-17, September.
    5. Abaei, Mohammad Mahdi & Hekkenberg, Robert & BahooToroody, Ahmad & Banda, Osiris Valdez & van Gelder, Pieter, 2022. "A probabilistic model to evaluate the resilience of unattended machinery plants in autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    6. Victor Bolbot & Gerasimos Theotokatos & LA Wennersberg & Jerome Faivre & Dracos Vassalos & Evangelos Boulougouris & Ørnulf Jan Rødseth & Pål Andersen & Ann-Sofie Pauwelyn & Antoon Van Coillie, 2023. "A novel risk assessment process: Application to an autonomous inland waterways ship," Journal of Risk and Reliability, , vol. 237(2), pages 436-458, April.
    7. de Vos, Jiri & Hekkenberg, Robert G. & Valdez Banda, Osiris A., 2021. "The Impact of Autonomous Ships on Safety at Sea – A Statistical Analysis," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    8. Wang, Yang & Chen, Peng & Wu, Bing & Wan, Chengpeng & Yang, Zaili, 2022. "A trustable architecture over blockchain to facilitate maritime administration for MASS systems," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    9. Wenjun Zhang & Xiangkun Meng & Xue Yang & Hongguang Lyu & Xiang-Yu Zhou & Qingwu Wang, 2022. "A Practical Risk-Based Model for Early Warning of Seafarer Errors Using Integrated Bayesian Network and SPAR-H," IJERPH, MDPI, vol. 19(16), pages 1-14, August.
    10. Wenjun Zhang & Yingjun Zhang & Weiliang Qiao, 2022. "Risk Scenario Evaluation for Intelligent Ships by Mapping Hierarchical Holographic Modeling into Risk Filtering, Ranking and Management," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    11. Johansen, Thomas & Blindheim, Simon & Torben, Tobias Rye & Utne, Ingrid Bouwer & Johansen, Tor Arne & Sørensen, Asgeir J., 2023. "Development and testing of a risk-based control system for autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    12. Fan, Cunlong & Montewka, Jakub & Bolbot, Victor & Zhang, Yang & Qiu, Yuhui & Hu, Shenping, 2024. "Towards an analysis framework for operational risk coupling mode: A case from MASS navigating in restricted waters," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    13. Gil, Mateusz, 2021. "A concept of critical safety area applicable for an obstacle-avoidance process for manned and autonomous ships," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    14. Wu, Bing & Yip, Tsz Leung & Yan, Xinping & Guedes Soares, C., 2022. "Review of techniques and challenges of human and organizational factors analysis in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    15. Carine Dominguez-Péry & Lakshmi Narasimha Raju Vuddaraju & Isabelle Corbett-Etchevers & Rana Tassabehji, 2021. "Reducing maritime accidents in ships by tackling human error: a bibliometric review and research agenda," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-32, December.
    16. Wróbel, Krzysztof, 2021. "Searching for the origins of the myth: 80% human error impact on maritime safety," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    17. Gam Thi Hong Nguyen & Daria Ruzaeva & Julio Cesar Góez & Mario Guajardo, 2022. "Insights on the introduction of autonomous vessels to liner shipping networks," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-27, December.
    18. Enna Hirata & Annette Skovsted Hansen, 2024. "Identifying Key Issues in Integration of Autonomous Ships in Container Ports: A Machine-Learning-Based Systematic Literature Review," Logistics, MDPI, vol. 8(1), pages 1-15, February.
    19. Rong, H. & Teixeira, A.P. & Guedes Soares, C., 2022. "Maritime traffic probabilistic prediction based on ship motion pattern extraction," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    20. Nikolaos P Ventikos & Konstantinos Louzis, 2023. "Developing next generation marine risk analysis for ships: Bio-inspiration for building immunity," Journal of Risk and Reliability, , vol. 237(2), pages 405-424, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:marecl:v:24:y:2022:i:2:d:10.1057_s41278-022-00213-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.