Marine Industry and Regional Development – Maritime Roadmap Up to the Future

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 (10 March 2023) | Viewed by 11393

Special Issue Editors


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Guest Editor
College of Transport and Communications, Shanghai Maritime University, Shanghai, China
Interests: development strategy of maritime industry; transport system engineering; logistics supply chain management science; port evolution along the maritime silk road

E-Mail Website
Guest Editor
College of Transport and Communications, Shanghai Maritime University, Shanghai, China
Interests: transport network optimization; port operation management; port governance
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Special Issue Information

Dear Colleagues,

Maritime transport is one of the most important marine industries that play a prominent role in the socio-economic development of most coastal regions all over the world. Shipping undertakes more than 70% of international trade and provides huge promotions to regional and global economies. On the other side, as the important nodes in logistics networks, ports behave as the crucial engines for regional economies and social development. In recent decades, there has been rapid progress in the maritime industry in terms of new technologies, ideas, approaches and operation modes. Meanwhile, some global issues, e.g., climate change, the COVID-19 pandemic and the world economy recession, propose more challenges to the sustainability of the maritime industry. In order to better understand the interactions between the maritime industry and regional development in the new dynamic environment, it is necessary to place more attention on the related research topics.

This Special Issue (SI) aims to promote comprehensive and rigorous theoretical and empirical studies which examine the relationship and co-development of the maritime industry and regional economies. Potential topics include, but are not limited to, the following:


  • The latest developments in marine technology;
  • Green maritime Port governance;
  • Smart ports;
  • emerging technology applications in the maritime industry and their regional output;
  • Case studies.

Prof. Dr. Wei Liu
Prof. Dr. Shiyuan Zheng
Guest Editors

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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.

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Keywords

  • maritime industry
  • regional development
  • co-development
  • green
  • sustainability
  • symbiosis
  • innovation relationship
  • coevolution
  • coordination
  • prospect

Published Papers (6 papers)

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Research

17 pages, 1689 KiB  
Article
Spatially Structured Environmental Analysis of Marine Ecological Landscapes Based on Machine Vision
by Longlong Zhang, Jingwen Yuan and Chulsoo Kim
J. Mar. Sci. Eng. 2023, 11(5), 954; https://doi.org/10.3390/jmse11050954 - 29 Apr 2023
Cited by 1 | Viewed by 1245
Abstract
In this study, based on the current development status of Zhanjiang’s marine economy and ecological landscape environmental spatial structure in China, an appropriate coordination measurement model tailored to Zhanjiang’s marine economy and the ecological environment was selected. The spatially structured environment of marine [...] Read more.
In this study, based on the current development status of Zhanjiang’s marine economy and ecological landscape environmental spatial structure in China, an appropriate coordination measurement model tailored to Zhanjiang’s marine economy and the ecological environment was selected. The spatially structured environment of marine ecological landscape (MEL) is analyzed based on machine vision (MV) technology. It established a subsystem for Zhanjiang’s marine economy and ecological landscape environmental spatial structure and chose relevant system indicators. Through data standardization, principal component analysis and regression fitting analysis, the spatial structured coordination degree of MEL is measured, and the marine economy and ecological environment are comprehensively analyzed, which is important for the future development of MEL. By charting the coordination degree trend over the years and conducting an empirical analysis of the comprehensive development level and coordination degree of Zhanjiang’s marine economy and ecological environment, policy recommendations are offered to encourage the harmonious development of Zhanjiang’s marine economy and ecological landscape environmental spatial structure. Full article
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16 pages, 1594 KiB  
Article
Joint Maritime Bunker Hedging and Operational Consumption Based on CVaR Optimization
by Xiaolin Sun, Jiajiao Chen and Wei Liu
J. Mar. Sci. Eng. 2023, 11(5), 894; https://doi.org/10.3390/jmse11050894 - 22 Apr 2023
Viewed by 1219
Abstract
Maritime shipping is an important driver of global economic growth. Efficient green maritime technologies are critical for both the profitability and sustainability of shipping carriers due to the fact that fuel consumption has already made up 45–55% of the total operational cost of [...] Read more.
Maritime shipping is an important driver of global economic growth. Efficient green maritime technologies are critical for both the profitability and sustainability of shipping carriers due to the fact that fuel consumption has already made up 45–55% of the total operational cost of a ship. Moreover, the application of green maritime technologies also challenges the input/output of the maritime industry. Currently, there is a lack of coordination between the two strategies of maritime bunker management: one is the bunker procurement, which is faced with the fierce volatility of bunker fuel prices, and the other is the bunker consumption of vessel operation scheduling with applicable maritime technologies. To address the challenge posed by the new sulfur emission regulations, the two isolated strategies are inefficient. This study presents an integrated model that takes both the financial technology (bunker hedging) and the operational bunker cost efficiency (sailing speed and routing optimization under emission regulations) into account. The objective is to maximize the total rate of portfolio return considering the revenue and the cost simultaneously. By analyzing the Conditional Value at Risk (CVaR) risk measure, we examined the effects of the bunker spot, contract, and hedging in futures markets on the optimal joint solution. Numerical results from a real-world case study show that the optimized integrating financial and operational strategies yield the lowest expected total costs as well as the highest revenue with CVaR constraints. The findings provide a prospect for maritime shipping as an effective decision tool for bunker management under environmental regulations. The management insights of our study will benefit the corporate participants, policy makers, and researchers in liner shipping revenue and risk management. Full article
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13 pages, 3057 KiB  
Article
A Port Importance Evaluation Method Based on the Projection Pursuit Model in Shipping Networks
by Junfeng Zhu, Wei Liu and Yanbin Yang
J. Mar. Sci. Eng. 2023, 11(4), 724; https://doi.org/10.3390/jmse11040724 - 27 Mar 2023
Viewed by 1036
Abstract
Shipping networks face natural or man-made port emergencies, and the failure of a port affects the network’s connectivity and efficiency. It is very necessary to give priority to the selection of ports that should be maintained or ensure service capacity in case of [...] Read more.
Shipping networks face natural or man-made port emergencies, and the failure of a port affects the network’s connectivity and efficiency. It is very necessary to give priority to the selection of ports that should be maintained or ensure service capacity in case of port failure. The importance evaluation of ports is of great significance to improve the efficiency of maritime transport. In view of this, this paper proposed a port importance evaluation method in shipping networks integrating the centrality index and vulnerability index. The indexes are, respectively, degree centrality, weighted degree centrality, betweenness centrality, closeness centrality, change rate of network efficiency, and connectivity. The weight of each index is calculated by the projection pursuit model. The results show that the proposed method integrates the different performances of each index. The importance of Singapore port, Colombo port, and Port Klang rank as the top three. They are the hub ports of the main lines of Asia, Europe, and Africa and occupy extremely important core positions in the network. Finally, the ports are classified based on importance value, and the shipping network after the failure of some ports is compared. This research can provide a scientific basis for ensuring the efficiency, connectivity, and stability of shipping networks. Full article
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17 pages, 1963 KiB  
Article
Fleet Deployment Optimization for LNG Shipping Vessels Considering the Influence of Mixed Factors
by Zhongbin Zhao, Xifu Wang, Hao Wang, Suxin Cheng and Wei Liu
J. Mar. Sci. Eng. 2022, 10(12), 2034; https://doi.org/10.3390/jmse10122034 - 19 Dec 2022
Cited by 6 | Viewed by 2841
Abstract
Driven by China’s booming natural gas consumption market, LNG (Liquified Natural Gas) shipping import has grown rapidly. To facilitate scientific and efficient decision making on LNG shipping fleet deployment and the development of the LNG shipping industry, this article proposes an optimization model [...] Read more.
Driven by China’s booming natural gas consumption market, LNG (Liquified Natural Gas) shipping import has grown rapidly. To facilitate scientific and efficient decision making on LNG shipping fleet deployment and the development of the LNG shipping industry, this article proposes an optimization model to minimize annual fleet operating costs, including voyage cost, running cost, and capital cost. Under the consideration of the mixed factors of self-owned and time charter vessels, epidemic prevention and control, port congestion, transportation time cost, and evaporation loss, as well as navigation security and emergency situations, the validity and optimality of the model are demonstrated by the empirical example and the cost comparison between the conventional and optimized solution. The results show that this optimization model can reduce the total cost by 9.87%. Then, through sensitivity analysis, various significant factors affecting the operating costs of LNG shipping enterprises and their degrees of influence are determined. Based on the analysis of the relevant causes, some actionable countermeasures are recommended, including establishing a shipping price reciprocity mechanism and full chain investment planning, optimizing the inbound link to reduce invalid berthing time, strengthening the construction competitiveness and economy of scale of larger LNG ships, and building a combined dual resource pool transportation mode. This paper contributes to improving transregional maritime energy transport and management capacity, while further enhancing the energy security and development of port cities and their economic hinterlands. Full article
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25 pages, 7264 KiB  
Article
Traffic Organization Service for Maritime Autonomous Surface Ships (MASS) with Different Degrees of Autonomy
by Wenqiang Guo, Xinyu Zhang, Jingyun Wang, Hongxiang Feng and Nyamatari Anselem Tengecha
J. Mar. Sci. Eng. 2022, 10(12), 1889; https://doi.org/10.3390/jmse10121889 - 04 Dec 2022
Cited by 2 | Viewed by 1973
Abstract
Maritime Autonomous Surface Ships (MASS) have been an important direction for the development of intelligent shipping. However, most current international research on MASS focuses on navigation assistance technologies such as perception and decision-making, ignoring MASS’s traffic organization and management. The traffic organization service [...] Read more.
Maritime Autonomous Surface Ships (MASS) have been an important direction for the development of intelligent shipping. However, most current international research on MASS focuses on navigation assistance technologies such as perception and decision-making, ignoring MASS’s traffic organization and management. The traffic organization service (TOS) under the e-Navigation strategy also has not researched MASS. In this paper, we propose the notion of on-demand service to MASS with different degrees of autonomy (DoA) and develop a new maritime service (MS) applicable to the MASS with various (DoA) following the e-Navigation technical architecture. We first analyze MASS requirements with different degrees of autonomy in traffic organization to define the service information. Then, based on the traditional TOS, we developed the MASS traffic organization service (MTOS), consisting of an operational architecture, five subsystems, and four services. In particular, we proposed a phased service trigger mechanism to solve the problem of publishing untimely and redundant service information. Tianjin port and Huanghua port were selected as cases study for simulation experiments; the study finding revealed that MTOS could provide standardized, accurate, and efficient traffic organization service for MASS with different degrees of autonomy on demand. The contribution can be applied in the port operation to improve traffic safety. Full article
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13 pages, 1673 KiB  
Article
Study on the Contribution of Seaport to Urban Economy: An Empirical and Quantitative Analysis of Xiamen Port
by Wei Liu, Yanbin Yang, Qiaoyun Luo, Xufeng Zeng, Chuxin Chen, Junfeng Zhu, Weishan Lin, Hongbin Chen, Weiwei Huo, Mengxiao He, Yuping Jin and Jiangyu Xu
J. Mar. Sci. Eng. 2022, 10(11), 1753; https://doi.org/10.3390/jmse10111753 - 15 Nov 2022
Cited by 1 | Viewed by 1666
Abstract
Ports play a vital role in the development of cities. In order to study the contribution of seaports to the urban economy, this paper uses the input–output method and multiplier theory to calculate the direct, indirect, and ripple economic contribution of ports to [...] Read more.
Ports play a vital role in the development of cities. In order to study the contribution of seaports to the urban economy, this paper uses the input–output method and multiplier theory to calculate the direct, indirect, and ripple economic contribution of ports to cities. Then, this paper selects Xiamen Port as an example to calculate the economic contribution. Xiamen Port is a major port on the southeast coast of China and an important node of the 21st Century Maritime Silk Road. It can provide a reference for other port cities. A more detailed index system for evaluating the economic contribution is also constructed. Next, the time series ARIMA model is used to predict the cargo throughput and container throughput of Xiamen Port in the next four years. Finally, there are some suggestions put forward for the development of Xiamen Port. The results show the total economic contribution of Xiamen Port to the city accounted for 10.48% of the city’s GDP in 2017. Direct, indirect, and ripple economic contributions accounted for 2.84%, 2.13%, and 5.51%, respectively. The contribution of Xiamen Port to the city is in line with the growth pole theory, which not only allows for rapid growth in Xiamen Port itself but also drives the development of the entire region through the multiplier effect. The cargo throughput and container throughput of Xiamen Port will maintain continuous growth in the next four years. Therefore, the development of Xiamen Port should be accelerated to enhance its economic contribution to the city. Full article
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