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Resilience and Capacity of Waterway Transportation
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Resilience and Capacity of Waterway Transportation

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: 5 May 2025 | Viewed by 5046

Special Issue Editors

Prof. Dr. Daiheng Ni

E-Mail Website
Guest Editor
Transportation Program Coordinator, Civil and Environmental Engineering, University of Massachusetts, Amherst, MA 01003, USA
Interests: traffic flow theory and simulation; connected vehicle technology; intelligent transportation systems (ITS); marine and air traffic modelling and control
Prof. Dr. Yihua Liu

E-Mail Website
Guest Editor
Merchant Marine College, Shanghai Maritime University, Shanghai 201308, China
Interests: waterway traffic flow theory; maritime traffic safety; bridge active ship collision prevention

Special Issue Information

Dear Colleagues,

Recent incidents such as the "Ever Given" blockage in the Suez Canal and the Baltimore bridge collapse in the United States have highlighted global concerns regarding the resilience and capacity of waterway transportation. Events such as these not only directly lead to financial losses but also cause potential damage to critical infrastructure, public safety, and national economic stability.

In response to these challenges, intelligent shipping technologies such as advanced information technologies, artificial intelligence, and big data analytics can be leveraged to more accurately predict waterway conditions, optimize route planning, mitigate navigation risks, and improve the overall transport efficiency. These advancements aid in the rational planning, expansion, maintenance, and management of waterways, ensuring that they can accommodate the growing demand for transportation while balancing environmental protection and economic benefits, thus promoting green shipping development.

This Special Issue aims to compile the latest research findings and practical experiences around the world, seeking to provide scientific evidence and strategic guidance for decision makers and practitioners to strengthen waterway transportation resilience, enhance waterway efficiency, ensure navigation safety, and promote the sustainable development of intelligent shipping. By adopting an interdisciplinary perspective, this Special Issue will address the urgent need for a safe, efficient, and green waterway transportation network in the context of global economic integration.

We invite researchers, practitioners, and policymakers to submit their original research articles, case studies, reviews, and technical notes covering, but not limited to, the following topics:

  • Advanced technologies in intelligent shipping;
  • Big data analytics and AI in waterway transportation management;
  • Optimization of waterway route planning;
  • Quantitative analysis of waterway capacity;
  • Risk mitigation in waterway navigation;
  • Integration of environmental protection and economic efficiency in waterway management;
  • Policy and regulatory frameworks for enhancing waterway transportation resilience;
  • Case studies on recent incidents and their impact on waterway transportation.

Submissions should contribute to a deeper understanding of the factors influencing waterway transportation resilience and capacity and offer innovative solutions to contemporary challenges.

Prof. Dr. Daiheng Ni
Prof. Dr. Yihua Liu
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

  • resilience
  • capacity
  • waterway transportation
  • ship-following model
  • traffic flow
  • optimization
  • intelligent shipping technology

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

Published Papers (4 papers)

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Research

12 pages, 1471 KiB  
Article
A Consequence-Based Response Framework for More Resilient Shipping Amidst Growing Uncertainty
by Helen Thanopoulou and Siri Pettersen Strandenes
J. Mar. Sci. Eng. 2025, 13(1), 93; https://doi.org/10.3390/jmse13010093 - 6 Jan 2025
Viewed by 819
Abstract
The 2011 Fukushima disaster and the 2020 COVID-19 pandemic are two major 21st century events that were least expected while being highly disruptive, having an immediate as well as longer-term impact on shipping operations. However, while pandemics are a recurrent phenomenon of the [...] Read more.
The 2011 Fukushima disaster and the 2020 COVID-19 pandemic are two major 21st century events that were least expected while being highly disruptive, having an immediate as well as longer-term impact on shipping operations. However, while pandemics are a recurrent phenomenon of the “known-knowns” type, the combination of phenomena which led to Fukushima had no assigned probability; hence, no preparedness was in place, as this was practically a unique occurrence in shipping. Considering significant shipping incidents of various less or more uncommon etiologies, such as the capsizing of vessels, missile attacks on merchant ships or vessel-onto-bridge collisions, this conceptual paper puts forward a consequence-based approach for assessing and managing shocks in the maritime domain, especially the ones classified in the “unknown-unknowns” or “Black Swan” categories. In the context of preparedness theory, the authors propose the adoption by shipping businesses, in parallel to any other risk approaches and tools, of the Assessment-reaction-Recovery-Conversion (ArRC) framework for managing risk and of relevant key recovery indicators which may assist in (a) increasing resilience through focusing the recovery planning on consequence-oriented, root-neutral reactions and (b) in promoting a “bounce-back-better” frame of mind and action plan, contributing to faster and easier recovery after a shock of any type. Full article
(This article belongs to the Special Issue Resilience and Capacity of Waterway Transportation)
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18 pages, 4110 KiB  
Article
Level of Service Evaluation Method for Waterway Intersections
by Yihua Liu, Xin Guo, Fei Lin, Nian Liu and Daiheng Ni
J. Mar. Sci. Eng. 2024, 12(11), 2050; https://doi.org/10.3390/jmse12112050 - 12 Nov 2024
Viewed by 1584
Abstract
Waterway intersections pose significant risks for vessel navigation due to the complexities of operational conditions in these areas. The lack of clear collision avoidance rules, combined with ineffective communication, exacerbates these dangers. To address this issue, transportation authorities will typically employ flow organization [...] Read more.
Waterway intersections pose significant risks for vessel navigation due to the complexities of operational conditions in these areas. The lack of clear collision avoidance rules, combined with ineffective communication, exacerbates these dangers. To address this issue, transportation authorities will typically employ flow organization strategies to optimize operations at these intersections. However, effective methods for traffic management, both before and after implementation, are still lacking. This paper proposes a methodology to determine the level of service (LOS) needed for waterway intersections by using the degree of conflict during vessel navigation as a performance measure, while also considering the unique characteristics of vessel encounters in these areas. The methodology was applied to analyze the Yuxingnao waterway, and the results demonstrate its effectiveness in assessing operational conditions and providing a clear classification of service levels over specific time periods. Consequently, this methodology not only enables transportation authorities to evaluate the effectiveness of traffic management strategies, such as route planning and traffic organization, but also helps predict the impact of potential improvement countermeasures. Full article
(This article belongs to the Special Issue Resilience and Capacity of Waterway Transportation)
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20 pages, 6452 KiB  
Article
Redefinition for Fundamental Characteristics of Waterway Traffic Stream Considering Vessel Displacement
by Siqing Zhuang, Yong Shen, Zhexue Xie, Zhiyuan Xu and Yihua Liu
J. Mar. Sci. Eng. 2024, 12(10), 1798; https://doi.org/10.3390/jmse12101798 - 9 Oct 2024
Viewed by 772
Abstract
As the basis for characterizing traffic conditions in waterways, fundamental characteristics of waterway traffic streams are of great practical significance in ensuring traffic safety and improving navigation efficiency. In the study of the fundamental characteristics of waterway traffic flow, although some scholars consider [...] Read more.
As the basis for characterizing traffic conditions in waterways, fundamental characteristics of waterway traffic streams are of great practical significance in ensuring traffic safety and improving navigation efficiency. In the study of the fundamental characteristics of waterway traffic flow, although some scholars consider the length or area of the vessel, few scholars take the displacement of the vessel into account and make light of the influence of the three-dimensional size of the vessel. This paper proposes a method for defining the fundamental characteristics of a waterway traffic stream considering vessel size. This method defines fundamental characteristics in terms of vessel displacement and quantifies flow, density, and speed based on vessel trajectories in time–space regions. This study selects a unidirectional channel in the south trough waters of Shanghai Harbor for a case study and draws the fundamental diagram of the waterway traffic stream while considering vessel number and displacement. The comparison result shows that the definition considering vessel displacement can more accurately reflect the actual traffic condition of the selected channel. Finally, based on the flow–density subgraph of the waterway traffic stream (measured by vessel displacement), this paper constructs a traffic stream model and derives critical parameters. The definition proposed in this study effectively characterizes how vessels occupy the time–space resources of waterways, revealing the inherent mechanisms governing waterway traffic stream and, thus, enhancing accuracy in describing fundamental relationships among waterway stream characteristics. The outcome of this research underlies how the waterway traffic stream is measured, operated, and managed to ensure safety and productivity. Full article
(This article belongs to the Special Issue Resilience and Capacity of Waterway Transportation)
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27 pages, 8237 KiB  
Article
Optimization of Integrated Tugboat–Berth–Quay Crane Scheduling in Container Ports Considering Uncertainty in Vessel Arrival Times and Berthing Preferences
by Liangyong Chu, Jiawen Zhang, Xiuqian Chen and Qing Yu
J. Mar. Sci. Eng. 2024, 12(9), 1541; https://doi.org/10.3390/jmse12091541 - 4 Sep 2024
Viewed by 1249
Abstract
Influenced by the dynamics of supply and demand, the demand for maritime transport has been increasing annually, putting significant pressure on container ports. To alleviate this pressure, a new mixed-integer programming model for the integrated scheduling of tugboats, berths, and quay cranes has [...] Read more.
Influenced by the dynamics of supply and demand, the demand for maritime transport has been increasing annually, putting significant pressure on container ports. To alleviate this pressure, a new mixed-integer programming model for the integrated scheduling of tugboats, berths, and quay cranes has been established. This model considers the uncertainties in vessel arrival times, vessel berthing preferences, time-varying quay crane availability, and the constraint that quay cranes cannot cross each other. The objective is to minimize the total costs including fuel consumption during port stays, delays and waiting times for berthing and departure, berthing deviation costs, tugboat assistance costs, and quay crane handling costs. To obtain high-quality solutions, an adaptive large neighborhood search (ALNS) algorithm was employed to solve the model. The algorithm incorporated five destruction operators and five repair operators that were specifically designed to enhance the solution accuracy and efficiency for the integrated scheduling problem. Several case studies of varying scales, based on a port in China, were used to validate the effectiveness of the proposed model and algorithm. The experimental results demonstrate the model’s validity and show that the ALNS algorithm designed for the integrated scheduling problem outperformed CPLEX and other algorithms in terms of the accuracy and efficiency. Finally, a sensitivity analysis of the key parameters provides recommendations for the integrated scheduling of tugboats, berths, and quay cranes, offering valuable insights for port operations. Full article
(This article belongs to the Special Issue Resilience and Capacity of Waterway Transportation)
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