Maritime Transport Research Articles

The carbon footprint of vegetable imports into Aruba: A closer look at sea and air transport

This study aimed to give insights into low-carbon vegetable import strategies for Aruba, a Dutch Caribbean island. Our selected products were potatoes, lettuce, onions, tomatoes, and green beans. The products originated from 13 different countries, and 25 product-country combinations were identified. The system boundaries were from the farm until arrival at the supermarket. We identified actual maritime transport routes, and calculated greenhouse gas (GHG) emissions of passenger aircrafts flying from Amsterdam to Aruba. Vegetables imported by air had significantly higher GHG emissions (4.2–8.3 kg CO2eq per kg) than products imported by sea (0.4–2.3 kg CO2eq per kg). GHG emissions of road transport generally contributed more than those of other life cycle stages, except when products showed a high contribution of agriculture. Although sea transport was calculated with much detail, it usually did not contribute much to the GHG emissions. We recommend Life Cycle Practitioners to consider aircraft characteristics when calculating GHG emissions of air transport, and to include the weight of the 80 kg AKE container, used for cooled airfreight, when allocating impacts between passengers and freight. For this case study, GHG emissions of specific passenger aircrafts always resulted in lower GHG emissions compared to generic calculations.

The strategic insights of Arctic sea routes for the sustainable development of Taiwan's shipping industry

In recent years, the Arctic Ocean has been experiencing the impacts of climate change. Global warming has led to the melting of ice caps and a significant reduction in ice coverage. As a result, the Arctic Ocean has indirectly opened up two new shipping routes known as the “Northeast Passage" and the “Northwest Passage." The opening of these new routes has the potential to transform Northeast Asia into a major transshipment hub, linking the Indo-Pacific and Europe regions. Novel business models are also generated and investigated within the maritime industry. This study involved conducting semi-structured interviews with potential stakeholders from industry, government, and academia. Additionally, qualitative analysis software- NVivo11 was utilized along with grounded theory for data analysis. The rationale supporting this view includes the advantages of Taiwan's shipping industry, its strategic geographic location, and the potential for shorter shipping routes through the Arctic. Additionally, Taiwan can establish conducive conditions to enhance its international standing and diplomatic relationships concerning Arctic Ocean matters. This initiative will facilitate the sustainable development of Taiwan's maritime industry in the Arctic region.

Relationship between maritime transportation and economic growth: highest maritime transport European countries

Maritime transport is one of the most widely used transport channels used by countries in foreign trade. The development of maritime transport affects the economic growth levels of countries. In addition, the increase in the level of economic growth of countries increases their share in international foreign trade and this situation increases the importance given by countries to maritime transport day by day. In this context, the study aims to determine whether there is any causality relationship between maritime transport and economic growth variables in Belgium, France, Germany, Italy, Netherlands, Spain, Türkiye, and the United Kingdom, which have the highest maritime transport among European countries. The bootstrap panel causality test was employed to examine the causality relationships between the variables over the time frame of 2008:Q1-2020:Q2. According to the findings, there is a causality relationship from economic growth to maritime transportation in all countries except Italy and the Netherlands. There is a causality relationship from maritime transportation to economic growth in Türkiye and the United Kingdom. As a result, the relationship between maritime transport and economic growth varies from country to country. This situation reveals the necessity of developing national policies for maritime transport by considering the economic structures of the countries.

Developing a Container Ship Loading-Planning Program Using Reinforcement Learning

This study presents an optimized container-stowage plan using reinforcement learning to tackle the complex logistical challenges in maritime shipping. Traditional stowage-planning methods often rely on manual processes that account for factors like container weight, unloading order, and balance, which results in significant time and resource consumption. To address these inefficiencies, we developed a two-phase stowage plan: Phase 1 involves bay selection using a Proximal Policy Optimization (PPO) algorithm, while Phase 2 focuses on row and tier placement. The proposed model was evaluated against traditional methods, demonstrating that the PPO algorithm provides more efficient loading plans with faster convergence compared to Deep Q-Learning (DQN). Additionally, the model successfully minimized rehandling and maintained an even distribution of weight across the vessel, ensuring operational safety and stability. This approach shows great potential for enhancing stowage efficiency and can be applied to real-world shipping scenarios, improving productivity. Future work will aim to incorporate additional factors, such as container size, type, and cargo fragility, to further improve the robustness and adaptability of the stowage-planning system. By integrating these additional considerations, the system will become even more capable of handling the complexities of modern maritime logistics.

EU Maritime Industry Blue-Collar Recruitment: Sustainable Digitalization

This research identifies the maritime industry’s key manpower recruitment criteria and uses a specialized online platform to assess the impact of recruitment digital transformation. Through the analysis of 183 validated surveys of Romanian shipbuilding and ship-repair technicians using IBM SPSS Statistics, this study examines digital recruitment trends and potential outcomes. Additionally, it highlights a notable gap in recent literature on digital recruitment optimization within the EU shipbuilding and ship-repair sectors. The findings demonstrate that digitally integrating recruitment tools—such as technical interviews, verified performance evaluations, and machine-learning algorithms for candidate prioritization—could significantly enhance recruitment accuracy, transparency, and efficiency. The key potential outcomes include improved efficiency, reduced bias, scalability, and cost savings overall for the recruitment process—valuable insights for European maritime stakeholders seeking to remain competitive, while addressing increasing labor demands.

Development of a calculation power model of a vacuum automounting device

One of the ways to improve navigation safety during water transport operation is to develop automated devices and systems that reduce the number of tasks for workers. For example, the introduction of vessels with different levels of autonomy into production activities, capable of automatically monitoring the environment or delivering cargo, helps to reduce the size of the vessel due to the absence of a residential superstructure. On inland waterways, one of the limitations of the introduction of autonomous navigation is their safe passage through shipping passages — shipping locks. Mooring a vessel in a lock chamber is very labor-intensive and is usually performed by crew members of the vessel being locked for movable (floating hoops) or fixed (berthing bollards, bollards, hoops) mooring devices, the permissible loads of which are established in regulatory documents. Over the past 10 years, the authors have not found studies describing the results of measuring the loads on mooring devices and ropes arising from the movement of the vessel in the lock chamber. Another constraint to the implementation of autonomous shipping is the lack of requirements for auto-mooring devices that ensure the retention of vessels in the lock chamber. In this regard, the purpose of this study is to compare the standard and actual values of the load on mooring eyes and ropes for the theoretical calculation of the holding forces of the vacuum automooring device model, taking into account the operating conditions in the shipping lock chamber. The measurement results presented in the article were obtained in the course of the research work “Development of scientifically based recommendations for establishing hydraulic modes for filling and emptying the chambers of locks No. 1–8 of the Federal State Budgetary Institution “Volga-Balt Administration” based on in-kind studies of the conditions of ship mooring in lock chambers” commissioned by the Federal Agency for Maritime and River Transport using a strain gauge installed in the mooring rope cut. As a result of the theoretical calculation of the holding force of the vacuum auto-mooring device, the holding forces of the vacuum gripper from the radius of one vacuum suction cup were obtained.

Language Learning Strategies of Maritime Students

Language learning strategies for maritime students might differ depending on their individual requirements and programs. In this premise, this study aimed to determine the extent of Language Learning Strategies by Maritime Students in a private school in a highly urbanized city in the central Philippines during the first semester of the School Year 2023-2024 as the basis for the language mastery program. The data needed for this descriptive research framework, coupled with statistical analysis to investigate the language learning strategies, was collected from 438 first-year maritime students using a standardized questionnaire. The results indicate that most parents hold graduate-level education, influencing academic environments. Most students are enrolled in a Bachelor of Science in Marine Transportation, with a balanced distribution of private and public school backgrounds. The study examines language learning strategies used by maritime students, finding moderate utilization in both direct and indirect dimensions. The study highlights the importance of tailored language learning support in marine education, enhancing language learning practices and promoting practical communication skills for professional endeavors. Moreover, it reveals notable language learning strategy employment variations among BSMT and BSMarE students. BSMT students showed slightly higher engagement in metacognitive aspects, while BSMarE students showed moderate engagement in affective and social strategies. The overall mean suggests areas for improvement in language learning behaviors. The study compares language learning strategies among maritime students and reveals significant differences based on a program of study. Bachelor of Science in Marine Transportation students show higher engagement; in contrast, BSMarE students show no significant difference. The findings suggest tailoring specific language learning strategies to enhance students’ proficiency and academic success. Specialized support programs tailored to academic specializations and collaborative efforts among language teachers and faculty across programs are essential to enhancing language learning in maritime education. Keywords: Education, language learning, maritime, strategies, private school, central Philippines

Deep Learning Methods to Mitigate Human-Factor-Related Accidents in Maritime Transport

Artificial intelligence aims to be the solution to multiple engineering problems by trying to emulate the human learning process. In this sense, maritime transport standards have clearly evolved, which are based on two principal pillars: the International Convention for the Safety of Life at Sea Convention (SOLAS) and the International Convention for the Prevention of Pollution from Ships (MARPOL). Based on a formal safety assessment research process, these pillars try to solve most of the maritime transport accidents, which, in their final steps, are associated with human factors. In this research, an original methodology employing a deep learning process for image recognition during mooring line operation, a dangerous process on ships, is developed. The main results indicate that the proposed method is an excellent tool for advising ship officers on watch and, consequently, provides a new way to prevent human factors onboard from causing accidents, which in the future must be considered in international standards.

Internet Technology for Efficiency and Resilience in Ocean Transportation Supply Chain Management: A Case Study of China Ocean Shipping Group

With the global maritime transport industry has faced many challenges in recent years, such as market volatility, environmental requirements and technological upgrading. The wide application of Internet technology has changed the management mode of the marine shipping industry and brought new opportunities for its development. Taking China Ocean Shipping Group as a case study, this study aims to explore the use of Internet technology to solve the problems faced by the ocean shipping supply chain and to discuss the importance of Internet technology in the ocean shipping supply chain, its areas of application, and the changes it may bring. Currently, the main problems faced by the marine transport supply chain include human resource costs, logistics information technology level, port and route selection, and shipping market uncertainty, which seriously affect the efficiency and flexibility of marine transport and operating costs. This study discusses Internet technologies to solve practical problems and specific supply chain management measures, including supply chain efficiency, flexibility and operating costs.

Environmental RNA metabarcoding for ballast water microbial diversity: Minimizing false positives

While maritime transport boosts global trade by shipping bulk goods, it raises concerns about the spread of harmful bacteria via ballast water. Moreover, the dark and cold environments of ballast tanks often harbor extracellular DNA from dead organisms, leading to false positives in traditional environmental DNA (eDNA) metabarcoding analyses. Here, we alternatively employed environmental RNA (eRNA) metabarcoding to assess its potential for reducing false positive in ballast water monitoring. We collected eDNA and eRNA in parallel from ballast water before and after disinfection in three vessels. High-throughput sequencing of the 16S rRNA V4-V5 regions and cDNA counterparts was conducted to compare bacterial community composition. Our findings showed that over 80 % of the top 150 abundant amplicon sequence variants (ASVs) were detected by both eRNA and eDNA metabarcoding. Samples sequenced separately using DNA and RNA consistently clustered together, indicating similar community recovery efficacy. However, 42 % of ASVs were detected exclusively in DNA, resulting in significantly higher bacterial diversity compared to RNA, which suggests false positives in the DNA method. In treated samples with higher dead cell counts, the RNA method showed significantly lower bacterial diversity, indicating its effectiveness in detecting live bacteria. In summary, eRNA metabarcoding offers comparable recovery efficiency while maintaining a lower false-positive rate than eDNA metabarcoding.

Conceptual design of an autonomous single-container vessel

The growth of maritime shipping is leading to the creation of larger vessels. However, this expansion in size brings with it several challenges, including the development of maritime infrastructure, the potential for growth in third-world countries, and the emission of greenhouse gases. In response to these challenges, this research explores the feasibility of designing an autonomous ship capable of transporting a single standardized 40 ft. container overseas using mainly passive propulsion methods. Using advanced design tools, including CAD software and CFD simulations, as well as conducting a comprehensive analysis of relevant literature, the designs for a hull and sails were developed, and an overview of the potential active control systems required for autonomous operation was provided. The study also performed an initial analysis of strength, stability, and velocity to validate the design choices. The ship proves to adhere to the basic strength and stability requirements while reaching its maximum hull velocity at certain wind speeds. The results of the study indicate that it is possible to design and manufacture a mainly passively propelled ship capable of transporting a 40 ft. standardized container overseas and rethink the logistics at scale.

Enhancing Information Exchange in Ship Maintenance through Digital Twins and IoT: A Comprehensive Framework

This article proposes a comprehensive framework for enhancing information exchange in ship maintenance through the integration of Digital Twins (DTs) and the Internet of Things (IoT). The maritime industry faces significant challenges in maintaining ships due to issues like data silos, delayed information flow, and insufficient real-time updates. By leveraging advanced technologies such as DTs and IoT, this framework aims to optimize maintenance processes, improve decision-making, and increase the operational efficiency of maritime vessels. Digital Twins create virtual replicas of physical assets, allowing for continuous monitoring, simulation, and prediction of ship conditions. Meanwhile, IoT devices enable real-time data collection and transmission from various ship components, facilitating a seamless flow of information. This integrated approach enhances predictive maintenance capabilities, reduces downtime, and improves resource allocation. The article will delve into the architecture of the proposed framework, implementation steps, and potential challenges, supported by case studies that demonstrate its practical application and benefits. By addressing these aspects, the framework aims to provide a robust solution for modernizing ship maintenance operations and ensuring the longevity and reliability of maritime assets.

A survey of water quality in areas of Albanian ports

This study report data on physical-chemical parameters and on concentrations of organic pollutants in marine water samples of Albanian ports. Nutrients, PH, temperature, conductivity, TSS, DO, BOD, COD, chlorines, sulfates, magnesium and calcium ions were the indicators used for evaluation of water quality. Also, organic pollutants (organochlorine pesticides, PCBs, PAH and benzene) were determined in seawater samples. Albania is facing by Ionian and Adriatic seas in a coastline of more than 300 km. Several ports are in function in Albanian coastline. Ship transport and many activities (automobile transport, mechanical activities, deposits, etc.) are the main factors of water pollution in port areas. Water samples from seven ports (the main Albanian ports) starting from Saranda port in the South to Shengjini port in the North, were analyzed in this study. Sampling was realized in May 2023. Based on physical-chemical indicators the water in the port of Saranda was the cleanest water, while Porto-Romano, Petrolifera and the fishing port in Zvernec was the most polluted one. Organic pollutants were detected in all water samples. Presence of the degradation products of pesticides may be related with previous uses of them. Presence of PCBs can be because of atmospheric deposition (volatile congeners), water currents and mechanical businesses (heavy congeners). PAHs and Benzene were detected on more than 70% of the analyzed samples. Intense ship and automobile transport in the port areas, mechanical businesses discharge and hydrocarbon processing i(Petrolifera and Porto-Romano) can be main factor for their presence. Water currents and new arrivals from the rivers can influence the levels and profile of pollutants. The found levels of organic pollutants in water samples of Albanian ports were higher than reported levels in previous studies for the Adriatic Sea (Albania coastline).

Optimization of operational parameters of marine methanol dual-fuel engine based on based on RSM- MOPSO

Methanol and natural gas, as green fuels for environmental protection, have shown great potential in the field of maritime transportation. This study explores how the methanol energy fraction (MEF), exhaust gas recirculation (EGR), excess air ratio (λ), and engine injection timing (EIT) influence combustion and emission traits in marine dual-fuel (DF) engine. Initially, a DF engine model was formulated through experiments using CONVERGE software, while the CHEMKIN program devised a chemical mechanism involving 100 compounds and 512 reactions. The response surface methodology (RSM) was subsequently utilized to design the experiment and develop the regression model. The improved multi-objective particle swarm optimization (MOPSO) algorithm was applied to optimize three critical variables: brake thermal efficiency (BTE), carbon monoxide (CO), and nitrogen oxide (NOx) emissions. Ultimately, feature-optimized scenarios from the Pareto front were chosen for comparative evaluation to derive the optimal configuration. The results show that when the decision variables MEF, EGR, λ and EIT are 22.33 %, 10 %, 1.81 and 11°CA BTDC respectively, there is a better trade-off between the three target variables. Compared with the original case, the change of ITE, NOx and CO emissions in the optimal case are +0.97 %, −39.53 % and −14.51 %, respectively. Overall, based on the intelligent optimization approach, the rational selection of DF engine parameters improved the ITE and most NOx and CO emissions were effectively suppressed.

The Impact of a New Container Port on the Greenhouse Gas Pollution

Abstract Background Large vessels that call at European ports will have to pay for their CO2 emissions from transporting cargo that enters or goes from a European port since January 2024. The costs will increase with increasing global trade. This results in a higher pollution level, including greenhouse gas (GHG) emissions like CO2. Methods/ Approach Based on the gravity model embedded in a global supply chain, we developed a model to evaluate maritime transport pollution in case a new, sufficiently large container port becomes operational. Additionally, we consider how lousy railway connections to European customers increase transportation costs and pollution. Results The approach to the well-connected sequences of gravity models in the intercontinental maritime chains evaluates the differences in quantities of cargo between ports when a new port is opened, and the waiting time does not change. We also highlight that poor rail connections can reduce this positive effect. Conclusions We showed how it is possible to estimate the optimal capacity of a new port with a multi-level gravity model and how this would affect the pollution around the port and on the routes from the port to the final consumers.

Assessing the Quality of Ship Crew Members in Sewage Pollution Prevention Practices on Marine Environmental Protection: A Case of Dar Es Salaam – Zanzibar Ropax Vessels

The maritime industry is crucial for global trade, but it also significantly impacts the marine environment, particularly through sewage pollution. This study assesses the quality of ship crew members in sewage pollution prevention practices on marine environmental protection, focusing on ROPAX vessels operating between Dar es Salaam and Zanzibar. The stud aims to assess the quality of ship’s crew members in training and education, experience and the number of crew in sewage pollution prevention practices. The study collected data from 80 respondents, whereby both questionnaires were used to collect the data. The data were analyzed by using T-test, Chi-square test, Descriptive statistics and inferential statistics. The study finding revealed that significant deficiencies in awareness and training among crew members regarding MARPOL Annex IV regulations, with many respondents rating their understanding as very low or low. This lack of knowledge, compounded by insufficient formal training programs, hampers the effective implementation of pollution prevention measures. The study recommends a multifaceted approach, including enhanced training, financial support for compliance, and stronger regulatory oversight to improve environmental protection practices. These findings provide crucial insights for policymakers and stakeholders aiming to reduce the environmental impact of the Tanzanian maritime industry and protect marine ecosystem.

Generalized transport costs in intermodal shipping: the context of the Northeast Passage

Intermodality is regarded as one way of achieving more sustainable transport solutions. To make intermodal transport the preferred solution among shippers, it must be attractive according to the concept of generalized transport costs. An extended model for generalized transport costs is developed which includes elements important for comparing maritime transport solutions in the Artic. This framework forms the basis for a principal discussion on the conditions that make one transport solution preferable to another within the context of maritime logistics. This model is then applied to the context of the Northeast Passage to discuss the necessary requirements for making an intermodal transport solution attractive relative to the current main route from Northeast Asia to Northwest Europe through the Suez Canal. Even though intermodality could be preferable in principle, current solutions cannot compete with either Arctic routes using unimodal solutions with high ice-class vessels or with the Suez route. Due to uncertainty and limited empirical evidence, a sensitivity analysis is conducted, focusing on the variables with the greatest impact on the result. Policymakers and stakeholders can consider the findings to improve transport competitiveness via the Northeast Passage.

Assessing Fatality Risks in Maritime Accidents: The Influence of Key Contributing Factors

This paper investigates the factors influencing the probability of fatality in various types of maritime accidents, including grounding, capsizing, sinking, man overboard incidents, and fatal falls, with a focus on several contributing factors—alcohol consumption, meteorological conditions, and visibility. Through comprehensive analysis, the alcohol consumption was examined in order to show how it impairs judgment and physical abilities, significantly increasing the risk of fatal outcomes in these accidents. The paper explores the interplay between alcohol consumption and other contributing factors, such as time of day (daytime/night) and weather conditions, providing a comprehensive understanding of how these variables collectively influence fatality rates in EU maritime transportation. The findings underscore the critical need for stringent alcohol regulations and enhanced safety protocols to mitigate the heightened risks associated with alcohol-impaired maritime operations.

A 500 kW hydrogen fuel cell-powered vessel: From concept to sailing

This paper presents the “Three Gorges Hydrogen Boat No. 1”, a novel green hydrogen-powered vessel that has been successfully delivered and is currently sailing. This vessel, integrated with a hydrogen production and bunkering station at its dedicated dock, achieves zero-carbon emissions. It stores 240 kg of 35 MPa gaseous hydrogen and has a fuel cell system rated at 500 kW. We analysed the engineering details of the marine hydrogen system, including hydrogen bunkering, storage, supply, fuel cell, and the hybrid power system with lithium-ion batteries. In the first bunkering trial, the vessel was safely refuelled with 200 kg of gaseous hydrogen in 156 min via a bunkering station 13 m above the water surface. The maximum hydrogen pressure and temperature recorded during bunkering were 35.05 MPa and 39.04 °C, respectively, demonstrating safe and reliable shore-to-ship bunkering. For the sea trial, the marine hydrogen system operated successfully during a 3-h voyage, achieving a maximum speed of 28.15 km/h (15.2 knots) at rated propulsion power. The vessel exhibited minimal noise and vibration, and its dynamic response met load change requirements. To prevent rapid load changes to the fuel cells, 68 s were used to reach 483 kW from startup, and 62 s from 480 kW to zero. The successful bunkering and operation of this hydrogen-powered vessel demonstrates the feasibility of zero-carbon emission maritime transport. However, four lessons were identified concerning bunkering speed, hydrogen cylinder leakage, hydrogen pressure regulator malfunctions, and fuel cell room space. The novelty of this work lies in the practical demonstration of a fully operational, hydrogen-powered maritime vessel achieving zero emissions, encompassing its design, building, operation, and lessons learned. These parameters and findings can be used as a baseline for further engineering research.

Estimating Vertical Distribution of Total Suspended Matter in Coastal Waters Using Remote-Sensing Approaches

The vertical distribution of the marine total suspended matter (TSM) concentration significantly influences marine material transport, sedimentation processes, and biogeochemical cycles. Traditional field observations are constrained by limited spatial and temporal coverage, necessitating the use of remote-sensing technology to comprehensively understand TSM variations over extensive areas and periods. This study proposes a remote-sensing approach to estimate the vertical distribution of TSM concentrations using MODIS satellite data, with the Bohai Sea and Yellow Sea (BSYS) as a case study. Extensive field measurements across various hydrological conditions and seasons enabled accurate reconstruction of in situ TSM vertical distributions from bio-optical parameters, including the attenuation coefficient, particle backscattering coefficient, particle size, and number concentration, achieving a determination coefficient of 0.90 and a mean absolute percentage error of 26.5%. In situ measurements revealed two distinct TSM vertical profile types (vertically uniform and increasing) and significant variation in TSM profiles in the BSYS. Using surface TSM concentrations, wind speed, and water depth, we developed and validated a remote-sensing approach to classify TSM vertical profile types, achieving an accuracy of 84.3%. Combining this classification with a layer-to-layer regression model, we successfully estimated TSM vertical profiles from MODIS observation. Long-term MODIS product analysis revealed significant spatiotemporal variations in TSM vertical distributions and column-integrated TSM concentrations, particularly in nearshore regions. These findings provide valuable insights for studying marine sedimentation and biological processes and offer a reference for the remote-sensing estimation of the TSM vertical distribution in other marine regions.