Smart Seaport and Maritime Transport Management, Second Edition

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: 25 January 2026 | Viewed by 3553

Special Issue Editors


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Guest Editor
Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Interests: maritime studies; data-driven decision-making; machine learning; large-scale optimization; optimization under uncertainty; production and logistics operations
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Special Issue Information

Dear Colleagues,

The rapid advancements in technology have revolutionized various industries, and the maritime sector is no exception. Smart seaports and maritime transport management systems have emerged as key drivers of efficiency, sustainability, and safety in the global shipping industry. These intelligent systems leverage cutting-edge technologies, such as the Internet of Things (IoT), artificial intelligence (AI), big data analytics, operations research, and automation, to optimize port operations, enhance vessel management, and streamline supply chain logistics.

This Special Issue builds on the previous edition, "Smart Seaport and Maritime Transport Management". Its objective is to continue compiling cutting-edge research and developments in smart seaport and maritime transport management. It serves as a consistent platform for researchers, academicians, and industry professionals to share their original research, case studies, and innovative solutions associated with the implementation and operation of intelligent systems in maritime environments.

Papers are invited on various aspects related to smart seaport and maritime transport management, including but not limited to the following:

  • Intelligent port infrastructure and automation systems;
  • IoT-enabled vessel monitoring and management;
  • Data-driven decision support systems for port and shipping operations;
  • Predictive maintenance and condition monitoring of maritime assets;
  • Big data analytics for optimizing cargo handling and logistics;
  • Blockchain applications in maritime supply chain management;
  • Cybersecurity and risk management in smart seaports;
  • Environmental sustainability and energy efficiency in maritime operations;
  • Integration of AI and machine learning in port and vessel operations;
  • Autonomous vessels and unmanned systems in maritime transport.

Dr. Lingxiao Wu
Prof. Dr. Shuaian Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • port operations
  • shipping management
  • operations research
  • data analytics

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Published Papers (2 papers)

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Research

22 pages, 883 KB  
Article
Development of a Model for Increasing the Capacity of Small and Medium-Sized Ports Using the Principles of Probability Theory
by Vytautas Paulauskas, Donatas Paulauskas and Vytas Paulauskas
J. Mar. Sci. Eng. 2025, 13(9), 1833; https://doi.org/10.3390/jmse13091833 - 22 Sep 2025
Viewed by 164
Abstract
Every year, more and more general and other types of cargo are transported by containers, and many ports, including small and medium-sized ones, are trying to join the container transportation processes. Port connectivity with container shipping is associated with easier and faster cargo [...] Read more.
Every year, more and more general and other types of cargo are transported by containers, and many ports, including small and medium-sized ones, are trying to join the container transportation processes. Port connectivity with container shipping is associated with easier and faster cargo processing and reduced environmental impact by optimizing ship arrivals and processing in small and medium-sized ports. Small and medium-sized ports are often limited by port infrastructure, especially suitable quays; therefore, it is very important to correctly assess the capabilities of such ports so that ships do not have to wait for entry and so that quays and other port infrastructure are optimally used. The research is relevant because small and medium-sized ports are increasingly involved in the activities of logistics chains and are becoming very important for the development of individual regions. The wider use of small and medium-sized ports in logistics chains is a new and original research direction. Optimal assessment of port or terminal and berth utilization is possible using the principles of probability theory. The article develops and presents a probabilistic method for assessment of port and terminal and ship mooring at their berths, using possible and actual time periods, based on the principles of transport process organization and linked to the capabilities of the port infrastructure and terminal superstructure. The conditional probability method was used to assess port and terminal capacity, as well as a method for assessing ship maneuverability under limited conditions. The developed probabilistic method for assessing port terminals and ship berthing at port quays can be used in any port or terminal, taking into account local conditions. Combined theoretical research and experimental results of the optimal use of small and medium-sized ports ensure sufficient research quality. Full article
(This article belongs to the Special Issue Smart Seaport and Maritime Transport Management, Second Edition)
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28 pages, 11471 KB  
Article
Unlocking Brazil’s Maritime Potential: Expanding Ports for Post-Panamax Operations
by Adriane Marques Pimenta, Martí Puig, Danielle Laura Bridi Mallman, Rodrigo Affonso de Albuquerque Nóbrega and R. M. Darbra
J. Mar. Sci. Eng. 2025, 13(5), 938; https://doi.org/10.3390/jmse13050938 - 10 May 2025
Viewed by 2561
Abstract
The Brazilian port sector faces an urgent need for modernization to meet the demands of the contemporary global economy. A significant challenge lies in the shallow depth of access channels, which hinders the navigation of larger ships with deeper drafts, and the fact [...] Read more.
The Brazilian port sector faces an urgent need for modernization to meet the demands of the contemporary global economy. A significant challenge lies in the shallow depth of access channels, which hinders the navigation of larger ships with deeper drafts, and the fact that many ports are constrained by the proximity of large cities, limiting their expansion. This study aims to identify Brazilian ports with the potential to accommodate post-Panamax ships, a critical component of modern maritime trade. Using a multi-criteria evaluation system, five key criteria were selected: water depth, land capacity for expansion, dredging requirements, water accessibility, and transport infrastructure. These criteria were systematically applied to 210 Brazilian port facilities, analyzed through QGIS 3.38.3 software using satellite imagery and literature sources. To prioritize the most suitable ports, Pareto analysis and quartile analysis were employed, resulting in the identification of 58 port facilities as prime candidates for expansion. This research provides a data-driven framework to guide the modernization of Brazilian ports, positioning them to better serve the growing demands of the global maritime industry. Full article
(This article belongs to the Special Issue Smart Seaport and Maritime Transport Management, Second Edition)
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