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Sustainable Maritime Transportation Systems
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Sustainable Maritime Transportation Systems

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: closed (1 September 2022) | Viewed by 5959

Special Issue Editors

Dr. Suzanna Long

E-Mail Website
Guest Editor
Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA
Interests: transportation security and resilience; sustainability; geospatial data visualization
Dr. Lizzette Perez Lespier

E-Mail Website
Guest Editor
Cameron School of Business, University of North Carolina, Wilmington, NC 28403, USA
Interests: sustainable maritime transportation systems; remote sensing and data visualization; supply chain optimization and decision making

Special Issue Information

Dear Colleagues,

Scenes of maritime vessels waiting offshore for many days have become increasingly common as we continue to battle the global pandemic. These challenges exacerbate the recognized environmental consequences of maritime shipping and reveal the need for resilience and security as part of a sustainable supply chain network design, for normal port operations and in the face of network disruption.

This Special Issue seeks to publish novel, original research that can add to the body of knowledge on these topics and will offer a rapid turnaround time regarding reviews and publications. High-quality research articles are sought on all aspects of this research field, with particular interest in articles focused on:

  • Remote sensing and environmental impacts of maritime shipping;
  • Maritime supply chain disruption mitigation;
  • MTS and economic development;
  • Sustainable design and resilience in MTS as part of decarbonization;
  • Data visualization and modeling techniques to improve port operations;
  • Case studies;
  • Resilient freight transfer from maritime to inland port infrastructure;
  • Artificial intelligence and data analytics in MTS innovation.

Dr. Suzanna Long
Dr. Lizzette Perez Lespier
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

  • environmental impacts
  • disruption mitigation
  • resilience
  • supply chain visualization and sustainable design
  • artificial intelligence
  • data analytics
  • economic development

Published Papers (3 papers)

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Research

14 pages, 1346 KiB  
Article
A Multi-Criteria Approach for Evaluating a Sustainable Intermodal Transport Chain Affected by the COVID-19 Pandemic
by Marko Golnar and Bojan Beškovnik
J. Mar. Sci. Eng. 2022, 10(11), 1644; https://doi.org/10.3390/jmse10111644 - 3 Nov 2022
Cited by 9 | Viewed by 1655
Abstract
The sustainable performance of the intermodal transport chain has gained popularity in recent decades, especially due to climate change and numerous European laws aimed at minimizing the negative impacts of transport. In this paper, we have developed a novel three-phase, two-stage approach that [...] Read more.
The sustainable performance of the intermodal transport chain has gained popularity in recent decades, especially due to climate change and numerous European laws aimed at minimizing the negative impacts of transport. In this paper, we have developed a novel three-phase, two-stage approach that is a combination of distance-based analytic hierarchy process/data envelopment analysis (AHP-DEA). The added value of this multi-criteria approach is in evaluating a sustainable intermodal transport chain, with prioritization of the most efficient combinations of transport in accordance with the weights derived from its users. Instead of the classic pairwise comparison, the weights of the criteria were determined using a new distance-based AHP method in which respondents were asked to sort the criteria (transportation time, price, emissions, and variability) pre-selected from the literature in order of greatest importance. Therefore, the approach determines the most efficient transport chain in the transportation corridor. Since a transportation corridor was previously defined, the settings for this corridor were set to constant initial variables. In this way, the above criteria were chosen as inputs, with DEA aimed at minimizing these variables and presenting the results in ranks from highest to lowest efficiency. The potential of our approach was presented in a case study, where the most efficient of the selected transport chains between Asia and the northern Adriatic were chosen. The results show that there are different intermodal transport chains, each of which consists of either maritime and rail transport or maritime and road transport. The paper concludes that the presented multicriteria approach has greater discriminatory power than the current DEA, as well as greater flexibility, since the weights can be derived faster and more effortlessly than is typical. Therefore, this method can help transportation organizers to determine which intermodal transportation chain is the most efficient or sustainable in any given situation. Full article
(This article belongs to the Special Issue Sustainable Maritime Transportation Systems)
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14 pages, 1886 KiB  
Article
Economic Impact of Investment Scenarios in the McClellan-Kerr Arkansas River Navigation System
by Furkan Oztanriseven, Heather Nachtmann and Samareh Moradpour
J. Mar. Sci. Eng. 2022, 10(7), 923; https://doi.org/10.3390/jmse10070923 - 3 Jul 2022
Cited by 2 | Viewed by 1560
Abstract
The McClellan–Kerr Arkansas River Navigation System (MKARNS) is challenged by an aging infrastructure and by limited maintenance budgets, all of which cause transportation delays. In this study, the Maritime Transportation Simulator (MarTranS), which is a hybrid of agent-based modeling, discrete-event simulation, system dynamics, [...] Read more.
The McClellan–Kerr Arkansas River Navigation System (MKARNS) is challenged by an aging infrastructure and by limited maintenance budgets, all of which cause transportation delays. In this study, the Maritime Transportation Simulator (MarTranS), which is a hybrid of agent-based modeling, discrete-event simulation, system dynamics, and multiregional input-output analysis, was adopted to model the relationship between the components of the system and economic impact factors. Real-world scenarios were analyzed to explore the economic impacts of various patterns of investment in the MKARNS. These scenarios include a base scenario (in which the system infrastructure remains unchanged and no future investments are made), investment scenarios (e.g., investing in deepening of the navigation channel, port expansion, and lock/dam rehabilitation), and a demand-change scenario focused on the impacts of the Panama Canal expansion. The results reveal that the MKARNS under current circumstances is not sustainable in the long term and that future economic investment is needed if it is to continue operations. In addition, among the different system components, locks/dams are the primary sources of system delays, so these should be targeted for investment and reconstruction to sustain and enhance the beneficial economic impacts of the system. Full article
(This article belongs to the Special Issue Sustainable Maritime Transportation Systems)
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22 pages, 3861 KiB  
Article
Optimization of Container Shipping Network Reconfiguration under RCEP
by Junjun Li, Hang Zhao and Bowei Xu
J. Mar. Sci. Eng. 2022, 10(7), 873; https://doi.org/10.3390/jmse10070873 - 25 Jun 2022
Cited by 4 | Viewed by 1825
Abstract
Due to its advantages of large transportation volume and low transportation cost, container shipping has become an important transportation mode in current international trade. The recovery of the shipping industry in 2021 and the signing of RCEP make the reconfiguration and optimization of [...] Read more.
Due to its advantages of large transportation volume and low transportation cost, container shipping has become an important transportation mode in current international trade. The recovery of the shipping industry in 2021 and the signing of RCEP make the reconfiguration and optimization of the container shipping network a very important task at present. The network service capability is an important factor affecting the container shipping network. Based on the complex network theory, the coefficients of port location, the importance of distance and route among ports are taken as the service capacity reconfiguration coefficients of the global container shipping network. A max-min mixed integer model is established for global container shipping network reconfiguration. A sort of communication-reducing conjugate gradient method based on Krylov Subspace (CR-CG-KS) is proposed to reduce the reconfiguration computation. The results show that the global container shipping network does not need large-scale reconfiguration but requires small-scale changes to optimize the network feature vector centrality and make the network more balanced and stable. This study is beneficial for business managers to proactively respond to the future development of the shipping network and improve the operational efficiency of the global container shipping network. Full article
(This article belongs to the Special Issue Sustainable Maritime Transportation Systems)
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