Computational Maritime Economics and Technology

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 (30 December 2020) | Viewed by 10748

Special Issue Editors


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Guest Editor
Nanyang Technological University, Singapore
Interests: computational intelligence; predictive analytics; maritime economics; ship investment and finance

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Guest Editor
Maritime College, State University of New York, New York, NY, USA
Interests: maritime technology; maritime innovations; sustainability; maritime economic; shipping management

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Guest Editor
Department of Business, University of St. Francis, Joliet, IL, USA
Interests: maritime transport; terminal and hinterland management; game theory; optimization; data analytics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Australian Maritime College, University of Tasmania, Hobart, Australia
Interests: ship investments; portfolio management; maritime economics; macroeconomics

Special Issue Information

Dear Colleagues,

Developments in computational intelligence and new technologies have generated a new research stream for maritime economics and the shipping industry. New methodologies have been implemented and tested for various research questions related to the prices of ships, freight markets, operations research (optimization problems), analytics, financial planning, e-commerce applications, online services, among others. A growing literature and academic interest also demand a new set of know-how and expertise which are not conventionally acquired.

Computational intelligence as a general term refers to machine learning (e.g. deep learning, support vector machine), executing complex calculations (e.g. grid search, large size simulations, complex optimization problems), analyzing data from sensing devices (e.g. IoT, AIS), digitization and digital transformation, collecting and processing certain types of data by utilizing automated systems (e.g. robotic process automation), handling big databases, database management and data integration (e.g. data structuring, semantics), cryptography (e.g. blockchain, cyber security), and multi-agent modelling for economic and operational problems.

An increasing volume of applications of new technologies raises several problems such as cyber immunity, privacy, governance, proper regulatory framework, future-proofing, work force transformation, and supply chain integration, among others. In this regard, this special issue also welcomes academic research addressing issues that follow from these questions.

The aim of this special issue is to address potential applications, pain points and computational solutions to industrial and social problems of maritime, port, and supply chain commerce. Moreover, the governance, policies and strategies around the maritime technology space are also in the scope of this special issue.

The following topics are potentially considered in the scope of this special issue (but not limited to):

  • Maritime technology, innovations, technology forecasting, technology management
  • Environmental technologies, sustainability of technology and technologies for sustainability
  • Entrepreneurship and the maritime start-up space, evolution and survival of maritime tech firms, Venture capital, angel investors, maritime start-up accelerators
  • Economic modelling of global or local supply chain integration
  • National and international regulations in the maritime digital space
  • Talent transformation, skillset forecasting, work force policies
  • Policy making and public governance for digital solutions
  • New economic and financial systems in the maritime industry
  • Supply chain integration using technology
  • Cyber-security, cyber hygiene, cyber immunity, maritime cyber risk management
  • Automation and control of maritime systems (ships, ports, maritime and hinterland logistics)
  • Maritime supply chain applications of blockchain, cryptography, data standardization, digital blueprints

Typical Methodologies we might see

  • Neural Networks and other machine learning applications
  • Predictive, Prescriptive and Pre-Emptive Analytics
  • Evolutionary computation, fuzzy logic
  • System identification, model predictive control (MPC)
  • Optimization problems in the maritime industry
  • Simulation studies
  • Game theory applications
  • Forecasting with and without shocks
  • Database management, semantics, digitalization
  • Digital twins, virtual models, virtual simulations

Prof. Okan Duru
Dr. Chris Clott
Dr. Bruce Hartman
Dr. Sinem Celik Girgin
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

  • Maritime Economics
  • Maritime Technology and Innovations
  • Supply-Chain Management
  • Automation and Control of Maritime Systems
  • Digitalization
  • Computational Intelligence
  • Data Analytics
  • Cyber-Security

Published Papers (3 papers)

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Research

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24 pages, 1803 KiB  
Article
Which Green Transport Corridors (GTC) Are Efficient? A Dual-Step Approach Using Network Equilibrium Model (NEM) and Data Envelopment Analysis (DEA)
by Paulo Nocera Alves Junior, Isotilia Costa Melo, José Eduardo Holler Branco, Daniela Bacchi Bartholomeu and José Vicente Caixeta-Filho
J. Mar. Sci. Eng. 2021, 9(3), 247; https://doi.org/10.3390/jmse9030247 - 26 Feb 2021
Cited by 7 | Viewed by 3550
Abstract
The development of Green Transport Corridors (GTCs) is an important strategy to help a region achieve more sustainable solutions. When such GTCs are implemented, multimodal supply chains and environmentally-friendly alternatives for freight transportation through economically relevant hubs and long-distance routes can be facilitated. [...] Read more.
The development of Green Transport Corridors (GTCs) is an important strategy to help a region achieve more sustainable solutions. When such GTCs are implemented, multimodal supply chains and environmentally-friendly alternatives for freight transportation through economically relevant hubs and long-distance routes can be facilitated. Based on previous efforts for evaluating single routes, this paper aimed to propose a single multi-criteria Logistics Composite Index (LCI), constructed based on a set of Key Performance Indicators (KPIs), to evaluate the efficiency of GTCs considering the integration of multiple transport modes (highways, railways, and waterways). This approach consists of a dual-step procedure, applying a Network Equilibrium Model (NEM) and Data Envelopment Analysis (DEA). It was applied to Brazilian agricultural bulk transport export corridors, considering the existing and planned infrastructure in the harvest year of 2018/2019. In general, the best indexes were those from corridors considering planned railways. Specifically, the best index was from a corridor from the Northeast region. The second was from the South. The third was from the North (Amazon), and was one of the few corridors with adequate waterways. This approach is useful for decision-makers to determine the most efficient corridors as well as for policy-makers to guide infrastructure investments and address public policies. Full article
(This article belongs to the Special Issue Computational Maritime Economics and Technology)
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17 pages, 2415 KiB  
Article
Assessing the Impact of Disruptive Events on Port Performance and Choice: The Case of Gothenburg
by Martin Svanberg, Henrik Holm and Kevin Cullinane
J. Mar. Sci. Eng. 2021, 9(2), 145; https://doi.org/10.3390/jmse9020145 - 31 Jan 2021
Cited by 11 | Viewed by 2391
Abstract
This paper assesses the impact of a major disruptive event at the port of Gothenburg, Scandinavia’s largest container port. Automatic Identification System (AIS) data is analyzed, in combination with official port statistics on container handling in the four main container ports in Sweden, [...] Read more.
This paper assesses the impact of a major disruptive event at the port of Gothenburg, Scandinavia’s largest container port. Automatic Identification System (AIS) data is analyzed, in combination with official port statistics on container handling in the four main container ports in Sweden, from 2014–2018. Particular attention is paid to the relationship between container volumes handled and calculated performance metrics at the specific times of the intense labour dispute at the port of Gothenburg during the periods Q2 (2016) and Q4 (2016)–Q2 (2017). The paper concludes that the decline in container volumes handled at Gothenburg over the period is specifically due to fewer ships calling at the port following each of the intense periods of the labour dispute. It is also concluded that the effect on competitor ports in the region were significant in terms of both increased volumes of gateway container traffic and the resulting short-term and medium term impacts on both port user profiles and port efficiency levels. Full article
(This article belongs to the Special Issue Computational Maritime Economics and Technology)
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Review

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19 pages, 2003 KiB  
Review
Rise, Fall, and Recovery of Blockchains in the Maritime Technology Space
by Ziaul Haque Munim, Okan Duru and Enna Hirata
J. Mar. Sci. Eng. 2021, 9(3), 266; https://doi.org/10.3390/jmse9030266 - 02 Mar 2021
Cited by 12 | Viewed by 3760
Abstract
Blockchain technology, since its introduction, has been expected to be implemented in many areas. Cryptocurrency is one unique example that established a functioning application. On the other hand, blockchain technology is not immune to various challenges related to the nature of itself, privacy [...] Read more.
Blockchain technology, since its introduction, has been expected to be implemented in many areas. Cryptocurrency is one unique example that established a functioning application. On the other hand, blockchain technology is not immune to various challenges related to the nature of itself, privacy management, and antitrust laws, among others. This study lays out the nature of blockchain and applications in the maritime industry, while highlighting the bottlenecks. Potential resolutions and anticipated developments are proposed. To do this, we adopt a systematic approach and present an overview of blockchain in maritime literature. In addition, the fundamental problems with blockchain are investigated, beginning from their essentials to the pain points that are claimed to need improvement. For establishing a legitimate and practically meaningful blockchain platform, stakeholders need to achieve pluralism (consensus validation), privacy, and security of the system. Full article
(This article belongs to the Special Issue Computational Maritime Economics and Technology)
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