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Operational adaptation of ports with maritime autonomous surface ships

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  • Kurt, Ismail
  • Aymelek, Murat

Abstract

Preliminary research findings suggest that the successful integration of advanced autonomous technologies in cargo ships could provide safer shipping and provide economical benefits. However, the fact that ships can sail with the assistance of autonomous technologies is not sufficient evidence alone to comprehend the promises of autonomous systems for maritime transport operations. Simultaneously, the entire global maritime transport system must also adapt to the advanced autonomous technologies and act interoperable with ships. In this context, this study aims to examine the areas of interoperability requirements with ports for the effective and integrated operation of autonomous cargo ships. In accordance with the purpose of the study, the operational context in which ships and ports interact is determined, and their interoperability in an autonomous maritime transport scenario is analysed. The present study contains the application of a survey questionnaire reflecting the views of experts dealing with ship and port operations. The data collected by the survey questionnaire are analysed by applying multiple regression analysis methods, utilising the IBM SPSS program. This study is in a pioneer position to define the interoperability characteristics to improve port operations to work in harmony with autonomous ships. The findings of this research are anticipated to contribute significantly to shaping the future of smart and autonomous freight transport and logistics.

Suggested Citation

  • Kurt, Ismail & Aymelek, Murat, 2024. "Operational adaptation of ports with maritime autonomous surface ships," Transport Policy, Elsevier, vol. 145(C), pages 1-10.
  • Handle: RePEc:eee:trapol:v:145:y:2024:i:c:p:1-10
    DOI: 10.1016/j.tranpol.2023.09.023
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    References listed on IDEAS

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    1. Hadi Ghaderi, 2019. "Autonomous technologies in short sea shipping: trends, feasibility and implications," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 152-173, January.
    2. Anastasia Tsvetkova & Magnus Hellström, 2022. "Creating value through autonomous shipping: an ecosystem perspective," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(2), pages 255-277, June.
    3. 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.
    4. 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).
    5. Tijan, Edvard & Jović, Marija & Aksentijević, Saša & Pucihar, Andreja, 2021. "Digital transformation in the maritime transport sector," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
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