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Sustainable Maritime Transport and Economics
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Sustainable Maritime Transport and Economics

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Oceans".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 3909

Special Issue Editors

Prof. Dr. Tingsong Wang

E-Mail Website
Guest Editor
School of Management, Shanghai University, Shanghai 200444, China
Interests: maritime transportation; network modeling; operations research
Special Issues, Collections and Topics in MDPI journals
Dr. Yadong Wang

E-Mail Website
Guest Editor
School of Economics & Management, Nanjing University of Science & Technology, Nanjing 210094, China
Interests: maritime logistics; transportation network design
Special Issues, Collections and Topics in MDPI journals
Dr. Jianfeng Zheng

E-Mail Website
Guest Editor
Transportation Engineering College, Dalian Maritime University, Dalian 116026, China
Interests: maritime transportation; liner shipping network design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We cordially invite you to submit a paper to our Special Issue entitled ‘Sustainable Maritime Transport and Economics’ at Sustainability, which is covered by SSCI&SCIE and has an impact factor of 3.251.

With specific reference to maritime administration and management, the International Maritime Organization (IMO) noted with concern that the health of oceans and marine biodiversity are negatively affected by marine pollution from a number of land-based sources, including vessels and ports. To sustain the development of maritime transportation, “sustainable maritime,” which operates with a good balance between environmental impact and economic interests, have been the focus of marine industries and government agencies and are required to look into energy saving and reducing the impact of their operations on society and the environment.

Maintaining and improving the daily operations of vessels and ports are extremely complicated, capital intensive and cost sensitive. Research on operational management on sustainable and maritime transportation are gaining ground in all aspects and sectors of the maritime industry, and mainly focus on the efficiency and sustainability issues, involving the allocation or assignment of recourses, such as berthing space and yard space, the scheduling of critical equipment, such as quay crane, yard crane, and container trucks (or AGVs), shipping service network design, fleet deployment, vessel’s speed optimization, vessel’s slot allocation, emission mitigation and reduction, etc.

This Special Issue on “Sustainable Maritime Transport and Economics” to be published in Sustainability aims to bring together recent theoretical, applied, or methodological advances concerning operational management in sustainable maritime transportation and economics, no matter whether they are hardware, software, or innovative approaches related, and encourage the researchers in maritime studies to have deep thoughts to make the maritime transportation sustainable and green.  Both research and review papers are welcomed.

The possible research topics include but are not limited to:

  • Sustainable maritime transportation planning and management;
  • Sustainable maritime network or fleet optimization;
  • Optimization models for port and shipping operations;
  • Revenue/yield management of maritime transportation;
  • Innovations for sustainability issues with emerging technologies;
  • Environmental issues in maritime industry;
  • Sustainable maritime transportation and competitive advantages;
  • Managing sustainability through collaboration and coordination;
  • Economic analysis of sustainable maritime transportation;
  • Researches for the future era of automatic shipping and ports.

We look forward to receiving your contributions. 

Prof. Dr. Tingsong Wang
Dr. Yadong Wang
Dr. Jianfeng Zheng
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. Sustainability 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 2400 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

  • sustainable and green
  • operations and management
  • optimization models

Published Papers (3 papers)

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Research

29 pages, 1166 KiB  
Article
The Routing Problem for Electric Truck with Partial Nonlinear Charging and Battery Swapping
by Hongwen Han, Luxian Chen, Sitong Fang and Yang Liu
Sustainability 2023, 15(18), 13752; https://doi.org/10.3390/su151813752 - 14 Sep 2023
Cited by 2 | Viewed by 826
Abstract
The maritime industry has introduced the concept of “green ports” as a means to achieve sustainable development by reducing carbon emissions. Within ports, trucks play a crucial role in transportation operations. However, there is limited comprehensive research on the electric truck routing problem [...] Read more.
The maritime industry has introduced the concept of “green ports” as a means to achieve sustainable development by reducing carbon emissions. Within ports, trucks play a crucial role in transportation operations. However, there is limited comprehensive research on the electric truck routing problem containing practical constraints such as charging options and charging processes. This study presents a more realistic routing problem for electric trucks, with a specific focus on multiple charging options within green ports. To address this challenge, we formulate a mixed-integer programming model designed to minimize overall operational costs associated with the transportation of trucks over the planning horizon. In order to solve this problem effectively, we devise an Adaptive Large Neighborhood Search (ALNS) algorithm, embedded with several customized operators. Through a series of numerical experiments, the effectiveness of the proposed algorithm is verified. The experimental results provide compelling evidence of the superior performance of the proposed algorithm compared to the original ALNS algorithm. Furthermore, sensitivity analysis is conducted, leading to valuable managerial insights. Full article
(This article belongs to the Special Issue Sustainable Maritime Transport and Economics)
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13 pages, 404 KiB  
Article
How Does Trade Policy Uncertainty Affect Supply Chain Efficiency: A Case Study of Listed Companies of Chinese Port Industry
by Bo Lin, Liu Yuan and Bo Lu
Sustainability 2023, 15(9), 7140; https://doi.org/10.3390/su15097140 - 24 Apr 2023
Cited by 2 | Viewed by 1563
Abstract
This paper uses a data sample from listed companies in the national port industry from 2007 to 2020 to systematically explore the impact of trade policy uncertainty on the supply chain efficiency of listed companies in the national port industry and its mechanism [...] Read more.
This paper uses a data sample from listed companies in the national port industry from 2007 to 2020 to systematically explore the impact of trade policy uncertainty on the supply chain efficiency of listed companies in the national port industry and its mechanism based on the events of Sino–US trade policy changes. It is found that the increase in trade policy uncertainty significantly reduces the enterprises’ supply chain efficiency. The further influence channel test shows that the increase of trade policy uncertainty inhibits the improvement of enterprises’ supply chain efficiency by reducing the export quantity and technological innovation channel of enterprises. From the perspective of trade policy changes, this paper provides a new explanation for understanding the dynamic changes in the supply chain efficiency of Chinese enterprises in recent years and enriches relevant research on evaluating the economic effects of trade policy uncertainty. Full article
(This article belongs to the Special Issue Sustainable Maritime Transport and Economics)
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15 pages, 2226 KiB  
Article
Study on the Location-Routing Problem in Network-Type Tractor-and-Trailer Transportation Mode
by Qingbin Wang, Xiaolin Liu, Gang Li and Jianfeng Zheng
Sustainability 2023, 15(8), 6970; https://doi.org/10.3390/su15086970 - 21 Apr 2023
Viewed by 925
Abstract
Under the trend of developing green transportation in China, tractor-and-trailer transportation has received more attention. This paper focuses on the network-type tractor-and-trailer transportation mode in the port hinterland, aiming to tackle the problems of low efficiency and customer satisfaction in the existing transportation [...] Read more.
Under the trend of developing green transportation in China, tractor-and-trailer transportation has received more attention. This paper focuses on the network-type tractor-and-trailer transportation mode in the port hinterland, aiming to tackle the problems of low efficiency and customer satisfaction in the existing transportation network. The authors recommend considering opening several alternative depots and making vehicle scheduling decisions simultaneous in order to optimize the existing transportation network. Therefore, this paper constructs a bi-level programming model with a generalized total cost minimization as the objective function. The solution to the original problem is divided into two stages: the location-allocation problem and vehicle scheduling; a two-stage hybrid heuristic algorithm is designed to solve the problem. Through the continuous iteration of the upper genetic algorithm and the lower hybrid particle swarm algorithm, the overall optimization of the problem is achieved. Finally, a specific example verifies the model and the algorithm’s effectiveness. The results show that the method proposed in this paper can significantly improve customer satisfaction and reduce transportation costs to a certain extent. It can also provide effective theoretical decision support for logistics enterprises to carry out tractor-and-trailer transportation business and develop green transportation. Full article
(This article belongs to the Special Issue Sustainable Maritime Transport and Economics)
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