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Advances in Maritime Shipping
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Advances in Maritime Shipping

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 July 2026 | Viewed by 2459

Special Issue Editor

Prof. Dr. Chuanxu Wang

E-Mail Website
Guest Editor
Institute of Shipping Management and Logistics Decision making, Shanghai Maritime University, Shanghai 201306, China
Interests: port and shipping management; logistics and supply chain management

Special Issue Information

Dear Colleagues,

With increasing global calls for carbon reduction and the development of emerging technologies such as artificial intelligence, cloud computing, blockchain, etc., the shipping industry has undergone great change. The maritime industry is showing a trend towards green practices, intelligence, and digitization. This Special Issue, titled "Advances in Maritime Shipping", aims to investigate theories and methods associated with applications and innovations related to green, intelligent, and digitized maritime shipping. It publishes rigorously peer-reviewed articles on maritime shipping management and new technology applications for achieving the decarbonization and digitalization of the maritime industry.

Potential topics include but are not limited to the following:

  • Carbon emission reduction in maritime shipping;
  • Innovation to achieve the low carbonization of the maritime industry;
  • Making decisions in a green, intelligent, and digitized maritime industry;
  • The application of digital technology in the maritime industry;
  • Impacts of digital technology on the decarbonization of the maritime industry

Prof. Dr. Chuanxu Wang
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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 semimonthly 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

  • green shipping
  • intelligent shipping
  • digital technology
  • low carbon
  • operations management

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

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20 pages, 13941 KB  
Article
A Graph Learning-Driven Method for Multi-Ship Collision Risk Prediction in Complex Waterways
by Jie Wang, Shijie Liu and Yan Zhang
J. Mar. Sci. Eng. 2026, 14(7), 658; https://doi.org/10.3390/jmse14070658 - 31 Mar 2026
Viewed by 451
Abstract
The proactive identification of emerging collision risks is pivotal for maritime traffic safety, particularly in congested hub ports where multi-ship encounters exhibit complex spatiotemporal dependencies. Conventional risk assessment methods, predominantly predicated on instantaneous geometric indicators, often fall short in capturing the systemic evolution [...] Read more.
The proactive identification of emerging collision risks is pivotal for maritime traffic safety, particularly in congested hub ports where multi-ship encounters exhibit complex spatiotemporal dependencies. Conventional risk assessment methods, predominantly predicated on instantaneous geometric indicators, often fall short in capturing the systemic evolution of risk. To address these limitations, this study proposes an Improved Spatio-Temporal Graph Convolutional Network (IST-GCN) framework for the short-term forecasting of ship collision risk. The framework models maritime traffic as a rule-integrated dynamic interaction graph, where edge weights are adaptively modulated by navigational rules and the Collision Risk Index (CRI). By leveraging historical observation windows, the model forecasts the maximum collective risk level over a subsequent prediction horizon, categorizing traffic scenes into three ordinal levels: Low, Medium, and High. A comprehensive case study utilizing real-world Automatic Identification System (AIS) data from the core waters of Ningbo–Zhoushan Port demonstrates the efficacy of the proposed approach. The IST-GCN achieves a superior prediction Accuracy of 92.4% and an F1-score of 0.91, significantly outperforming representative baselines including Long Short-Term Memory (LSTM), Temporal Convolutional Network (TCN), and standard ST-GCN. Notably, by explicitly encoding COLREGs-based interaction logic, the framework reduces the False Alarm Rate (FAR) to 8.5% in complex crossing and merging scenarios. These findings indicate that the IST-GCN serves as an interpretable, reliable, and early-warning decision-support tool for intelligent maritime supervision and modern Vessel Traffic Services (VTS). Full article
(This article belongs to the Special Issue Advances in Maritime Shipping)
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Review

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20 pages, 10130 KB  
Review
Smart Port and Shipping Optimization for Maritime Resilience Under Geopolitical Volatility and Conflict: A Review
by Lele Li, Yulin Dai, Lang Xu, Tao Zhang and Le Zhang
J. Mar. Sci. Eng. 2026, 14(9), 818; https://doi.org/10.3390/jmse14090818 - 29 Apr 2026
Viewed by 202
Abstract
Geopolitical volatility and conflict are increasingly altering the operating conditions of maritime transport by affecting route feasibility, service reliability, port operations, regulatory compliance, and energy-related decisions. However, the relevant literature remains fragmented across smart port studies, shipping optimization research, cybersecurity analysis, and resilience-oriented [...] Read more.
Geopolitical volatility and conflict are increasingly altering the operating conditions of maritime transport by affecting route feasibility, service reliability, port operations, regulatory compliance, and energy-related decisions. However, the relevant literature remains fragmented across smart port studies, shipping optimization research, cybersecurity analysis, and resilience-oriented discussions. This review addresses that fragmentation by examining smart port and shipping optimization as interdependent components of maritime resilience rather than as separate efficiency-oriented domains. Methodologically, the paper adopts a structured, semi-systematic review design combining bibliometric mapping and thematic synthesis to identify the evolution, thematic structure, and major research gaps of the field. The review shows that smart port research highlights the resilience value of real-time visibility, interoperable data exchange, dynamic terminal control, digital twins, and cyber-secure infrastructure, while shipping-optimization research emphasizes conflict-aware routing, schedule recovery, network redesign, capacity reallocation, and fuel-related decision support. At the same time, the literature provides only limited integration across the port–shipping interface, where resilience is actually produced through coordination between nodes, networks, and governance arrangements. Based on this synthesis, the paper argues that future research should move beyond isolated technical solutions and develop more integrated approaches that jointly address digitalization, operational adaptation, security, and decarbonization under geopolitical stress. The review contributes by clarifying the intellectual structure of this emerging field and by proposing a more system-oriented perspective on maritime resilience. Full article
(This article belongs to the Special Issue Advances in Maritime Shipping)
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