Search Results (135)

The study examines the impact of pricing strategies on the competition and cooperation of cross-border ports, focusing on unified pricing and differential pricing. The results show that the inside border port can adopt a differentiation strategy to enhance its benefits, as this strategy allows for better control. Additionally, while the differentiated pricing strategy is an equilibrium strategy for the inside border port, blockchain technology can enhance the economic benefits of the inside border port under certain conditions, which also demonstrates the commercial value of blockchain in data sharing. Moreover, the expansion of port capacity can reduce the congestion of the inside border port to some extent under specific conditions. Finally, the study analyzes the environmental impact, tariff impact, and influence of port cooperation, which provides some management implications for inside border port. In summary, the findings highlight the potential of blockchain to optimize pricing strategy and promote cooperation between regional ports, thus improving economic benefits. Full article

This scoping review investigates the digital transition of critical energy infrastructure (CEI) in maritime ports, which are increasingly vital as energy hubs amid global decarbonisation efforts. Recognising the growing role of ports in integrating offshore renewables, hydrogen, and LNG systems, the study examines how digital technologies (such as automation, IoT, and AI) support the resilience, efficiency, and sustainability of port-based CEI. A multifaceted search strategy was implemented to identify relevant academic and grey literature. The search was performed between January 2025 and 30 April 2025. The strategy focused on databases such as Scopus. Due to limitations encountered in retrieving sufficient, directly relevant academic papers from databases alone, the search strategy was systematically expanded to include grey literature such as reports, policy documents, and technical papers from authoritative industry, governmental, and international organisations. Employing Arksey and O’Malley’s framework and PRISMA-ScR (scoping review) guidelines, the review synthesises insights from 62 academic and grey literature sources to address five core research questions relating to the current state, challenges, importance, and future directions of digital CEI in ports. Literature distribution of articles varies across continents, with Europe contributing the highest number of publications (53%), Asia (24%) and North America (11%), while Africa and Oceania account for only 3% of the publications. Findings reveal significant regional disparities in digital maturity, fragmented governance structures, and underutilisation of digital systems. While smart port technologies offer operational gains and support predictive maintenance, their effectiveness is constrained by siloed strategies, resistance to collaboration, and skill gaps. The study highlights a need for holistic digital transformation frameworks, cross-border cooperation, and tailored approaches to address these challenges. The review provides a foundation for future empirical work and policy development aimed at securing and optimising maritime port energy infrastructure in line with global sustainability targets. Full article

Marine oil spills significantly adversely affect the socio-economic environment and marine ecosystems. Establishing an efficient emergency cooperation mechanism that enables swift and coordinated responses from all stakeholders is crucial to mitigate the harmful consequences of such spills and protect regional security. This study uses stochastic evolutionary game theory to develop an emergency cooperation model, focusing on the strategic interactions and dynamic evolution between three main parties: the local government, port enterprises, and specialized oil spill cleanup units. The findings indicate the following: (1) The strategy choice of the local government plays a dominant role in the three-party game and has a significant guiding effect on the behavioral decisions of port enterprises and specialized oil spill cleanup units. (2) The strength of the government’s reward and punishment mechanism directly affects the cooperation tendency of the port enterprises and specialized oil spill cleanup units. (3) When the emergency response is more efficient and the cooperation effect is significant, the cleanup units may choose negative cooperation based on payoff maximization in order to prolong the cleaning time. (4) In the process of system evolution, the strategies of local governments and port enterprises are more stable and less affected by random perturbations, while the strategy fluctuations of cleanup units are more sensitive. The findings enrich the theoretical framework for handling marine oil spill emergencies and provide valuable insights for developing efficient collaborative mechanisms and formulating well-grounded regulatory incentive policies. Full article

Marine ecosystems are vital for maintaining biodiversity and ecological balance. However, these ecosystems face severe threats from habitat destruction, pollution, climate change, and overfishing. Addressing these challenges requires innovative solutions, including the adoption of marine intelligent technologies. This study examines the role of marine intelligent technologies in promoting ocean sustainability. By integrating bibliometric and trend analyses of 777 publications (2020–2024), the study identifies critical research directions and disparities in the application of these technologies across marine ecosystems, shipping, and fisheries. Key findings reveal that marine intelligent technologies have transformative potential, enabling real-time marine environmental monitoring, enhancing port operations, and reducing the ecological footprints of fisheries. The study highlights the importance of collaborative efforts in policy formulation, technological advancement, and global cooperation to achieve the United Nations’ Sustainable Development Goal 14. Insights from this research provide feasible pathways for aligning technological innovation with the sustainable management of marine resources. Full article

This paper presents a comparative study of land use in different regional types under the Belt and Road Initiative (BRI) through a case study of Minsk, Vientiane, and Djibouti. The BRI has created significant opportunities for economic cooperation between China and participating countries. As key instruments for advancing the BRI and fostering regional economic development, overseas industrial parks play a crucial role in attracting investment, facilitating workforce training, and promoting local infrastructure development. With the growing number of overseas industrial parks, the need for their efficient and scientifically guided development has attracted increasing scholarly attention. However, a pressing issue remains of how to formulate context-specific and scientifically grounded development plans for these parks that account for diverse regional natural conditions and economic foundations. This study examines the China-Belarus Industrial Park in Minsk, the Saysettha Development Zone in Vientiane, and the Djibouti International Free Trade Zone, using remote sensing data and the patch-generating land use simulation (PLUS) model to analyze land use changes and driving forces in these three cities from 2000 to 2020, thereby revealing regional land-use patterns and their developmental differences. The findings indicate that population density, transportation infrastructure, and topographic features are the primary driving forces behind land use changes in the areas surrounding the industrial parks, significantly influencing the expansion of construction land and the utilization patterns of adjacent land types. Moreover, variations in natural conditions and economic strategies across regions result in divergent land use changes, giving rise to distinct urbanization characteristics. The coordinated development of ports, industrial parks, and urban areas plays a vital role in advancing regional economic integration. Through quantitative analysis, this study provides theoretical support and practical guidance for the planning and development of overseas industrial parks along the BRI. It advocates for tailored development strategies that align with specific regional contexts, in order to avoid the shortcomings of one-size-fits-all policies under varying natural and economic conditions. Full article

The ports and shipping industry is crucial in the global supply chain. Amid complex market and geopolitical dynamics, strengthening stakeholder collaboration becomes imperative to enhance maritime supply chain profit. Therefore, we develop a three-stage game model consisting of a port operator and a shipping company. We consider the impact of upgrading port facilities with advanced technology on the logistic decisions of the shipping company. In the first stage, the port decides whether to invest in upgrades, while the shipping company chooses one-way or two-way logistics. In subsequent stages, the port sets cargo handling charges, and the shipping company determines the freight rate. Equilibria under decentralized and centralized decision frameworks are derived. The equilibrium results show that market size has a significant effect on the shipping company’s choice. Specifically, the shipping company prefers two-way logistics when the market size is moderate, while one-way logistics is preferred when the market size is large or small. In addition, based on the fixed costs associated with port facility upgrades and two-way logistics, it is found that there exist three possible equilibria. Moreover, further analysis suggests that collaboration between the two parties, under appropriate financial conditions, can result in mutually beneficial outcomes. Our findings highlight the critical role of port–shipping company collaboration in enhancing operational efficiency and achieving greater mutual benefits. Full article

This research explores the role of innovation in fostering sustainability within the Spanish Port System, emphasizing its implications for transport infrastructure. It examines the intersection of innovation and sustainability, addressing key challenges such as maritime traffic growth, energy efficiency, waste management, and community integration. It identifies opportunities for technological advancements, collaborative initiatives, and circular economy strategies that contribute to the sustainable development of port infrastructure. The findings highlight the necessity of implementing innovative solutions to enhance operational efficiency, mitigate environmental impact, and strengthen stakeholder engagement. The application of advanced technologies and cooperative frameworks among port stakeholders emerges as a critical driver for achieving sustainability objectives within maritime transport systems. Full article

The implementation of the metaverse in Spanish ports poses challenges and opportunities, but it is crucial to identify and prioritize the key factors ensuring a successful transition to this new technological paradigm. To date, the literature has explored various aspects of digital transformation in ports, but few studies have specifically addressed the integration of the metaverse in this context. This study employed a prioritization matrix to evaluate five categories of factors: new operating models, institutional cooperation and coordination, customer services, data and technological maturity, and sector assimilation. Each category was evaluated based on its potential impact, urgency, ease of implementation, and cost. The results revealed that the factors related to the new operating models and institutional cooperation and coordination were considered the most important and urgent for the implementation of the metaverse in Spanish ports. On the other hand, technological maturity and sectoral assimilation were identified as the lowest priority categories. These findings suggest that the focus should be on improving operability and institutional collaboration to maximize the benefits of the metaverse in the Spanish port environment. In conclusion, this study provides a practical guide for decision-makers in the planning and implementation of digital transformation strategies in Spanish ports. By prioritizing key factors, resources can be optimized and the metaverse adoption process can be accelerated, thus contributing to the improvement of efficiency and competitiveness in the port sector. Full article

This research explores the sustainability of economic and business practices through enhanced legal cooperation within the Hainan Free Trade Port and Association of Southeast Asian Nations; context is essential to China’s economic reform, contributing to a strong business environment and sustainable development. The research explores the functions of legal frameworks in facilitating trade, investment, and innovation, with special emphasis on regulation coordination and dispute–resolution mechanisms. The research inspects the legal basis of free trade zones in the major Association of Southeast Asian Nations. It reinforces each other’s systems, regulatory changes, and economic sustainability incentives, thus setting up these zones as a driver for international trade and investment. It underlines a set of challenges and opportunities, and close-up legal cooperation may be imperative for ensuring economic sustainability in the long run, gaining confidence among international investors, and encouraging responsible business conduct in the region as a whole. This study contributes to understanding how legal structures can support economic resilience and sustainable growth in emerging trade environments. This paper consists of five sections, with the first section based on the research study and its themes. The second reviews the literature comprising the historical context, current research, and work of previous scholars concerning the study while identifying research gaps; the third discusses the material and results, including new legislation related to Hainan’s FTP; the fourth discusses and analyzes the entire research work, including findings; and the fifth covers the conclusions, limitations, and future directions of the research. Full article

Identifying illegal fishing activities from Automatic Identification System (AIS) data is difficult since AIS messages are broadcast cooperatively, the ship’s master controls the timing, and the content of the transmission and the activities of interest usually occur far away from the shore. This paper presents our work to predict ship types using AIS data from satellites: in such data, there is a pronounced imbalance between the data for different types of ships, the refresh rate is relatively low, and there is a misreporting of information. To mitigate these issues, our prediction algorithm only uses the sequence of ports the ships visited, as inferred from the positions reported in AIS messages. Experiments involving multiple machine learning algorithms showed that such port visits are informative features when inferring ship type. In particular, this was shown to be the case for the fishing vessels, which is the focus of this paper. We then applied a KD-tree to efficiently identify pairs of ships that are close to one another. As this activity is usually dangerous, multiple occurrences of such encounters that are linked to one ship sensibly motivate extra attention. As a result of applying the analysis approach to a month of AIS data related to a large area in Southeast Asia, we identified 17 cases of potentially illegal behaviours. Full article

The imbalance between supply and demand for slot resources and empty containers has led to resource waste and excessive operating costs for liner companies. Moreover, intense competition among ports has made both container ship slots and port equipment resource allocation inefficient. To address these challenges, this paper aims to solve the collaborative optimization problem of slot allocation and empty container repositioning within port clusters concerning inventory control. A cooperative possession strategy and a hybrid (T, s) inventory control policy are incorporated in this paper. A novel mixed-integer programming model is proposed, enabling us to simultaneously track slot allocation, empty container repositioning, empty container leasing, and slot renting. To solve the model, a new branch-and-bound algorithm based on Lagrangian relaxation and the ascendancy principle (BBLRAP) is developed. Numerical experiments are conducted to demonstrate the effectiveness of the proposed model and algorithm. The results show that the new collaborative optimization method, incorporating the cooperative possession strategy and (T, s) inventory policy, can increase liner company revenues by expanding market share, reducing costs, and improving the utilization of slot resources, ultimately achieving a win–win outcome for both liner companies and their partners. Compared to state-of-the-art studies, the following paper makes new contributions to proposing a cooperative possession strategy within port clusters for the first time. This paper ensures that liner companies and partners achieve a win–win situation in the cooperative game, expanding market shares and improving customer satisfaction. Full article

The “Belt and Road” initiative centrally embodies the Chinese government’s new concept of further strengthening regional cooperation and opening up to the outside world. The “21st Century Maritime Silk Road” (MSR) is a key component of this initiative. This study uses the MSR policy as a quasi-natural experiment to explore its impact on the efficiency of China’s coastal ports and the mechanisms underlying this effect, employing a difference-in-differences (DID) model based on panel data from major coastal ports in China between 2011 and 2022. The study finds that the policy of the MSR can significantly contribute to the efficiency of ports along the route, and this conclusion still holds after a series of robustness tests that take into account endogeneity issues and the exclusion of other policy interferences. From the analysis of heterogeneity, the construction of the MSR can effectively promote port efficiency in the southern region and large cities. From the perspective of the impact mechanism, this policy mainly promotes port efficiency by mentioning the optimization of the human capital structure, the improvement of the level of industrialization, and the construction of infrastructure. The conclusions of the study are of great significance in the advancement of high-quality sustainable development of ports along China’s routes. Full article

The independent DC bus structure multiport power electronic transformer (IDBS-MPET) is a novel power electronic transformer designed to integrate multiple DC sources and DC loads. Due to the configuration of DC ports, which are directly constructed by the parallel connection of dual active bridge (DAB) converters, the distribution of DC sources and DC loads among the three phases becomes unbalanced. In cases where the load power at certain ports is too high, this imbalance may lead to the over-modulation of the front-end H-bridge (HB). Since the output power at a certain port in the IDBS-MPET is constrained by the loads at other ports, this paper proposes a multiport steady-state power flow allocation method. This method establishes the load sensitivity correlation factor to enable all the ports to adjust power cooperatively based on it. By applying the proposed steady-state power flow allocation method, iterative calculations continuously update the priority of all the ports and their load sensitivity correlation factors. This process ensures that the power flow converges to a steady-state solution. Simulation results for two different IDBS-MPETs demonstrate that the power flow at all the ports effectively meets load requirements, while the front-end HB avoids over-modulation, ensuring the safe and stable operation of the IDBS-MPET. The results validate the effectiveness of the proposed steady-state power flow allocation method. Full article

Efficient logistics is a key factor in the competitiveness of seaports, especially in regions such as the Baltic Sea, where ports play important roles as hubs in the European Union’s Trans-European transport network (TEN-T). However, there are a lack of comprehensive studies focusing on the logistics efficiency of Baltic Sea ports, especially those integrating technical and technological factors. This study aimed to assess changes in the logistics efficiency of 15 major ports in the Baltic Sea region between 2019 and 2023, taking into account the technological and infrastructure-related elements that influence port performance. The model developed by the authors integrates the nearest neighbour method for cluster identification, data envelopment analysis using the Banker, Charnes, and Cooper (DEA-BCC) model to assess the overall technical, pure technical, and scale logistics efficiency, and spatial autocorrelation analysis to explore spatial interactions. For the DEA-BCC model, constraints were defined for each port based on inputs (number and length of berths) and outputs (cargo and container volumes for 2019–2023). The spatial autocorrelation analysis examined the relationships among the Baltic Sea ports, container volumes, and logistic efficiency values derived from the DEA model. Recognizing the sensitivity of the weight matrix in previous studies, this paper introduced an enhanced two-factor weighting matrix that incorporated geographical distance and the port connectivity index, calculated by the United Nations Conference on Trade and Development (UNCTAD). The statistical reliability of the results was validated using z-scores and p-values. The results showed that the overall technical efficiency of the ports analysed during the period considered was 47.2%, the pure technical efficiency was 61.0%, and the average scale efficiency was around 76%, indicating that diminishing returns to scale dominated. The spatial analysis showed a strong correlation between port connectivity and efficiency, indicating that well-connected ports, such as Gdańsk and Gdynia, had a higher efficiency. The findings make a significant contribution to the understanding of the logistics efficiency of Baltic Sea ports and highlights the importance of regional cooperation, infrastructure improvements, and better connectivity strategies to improve the overall efficiency of seaports in the region. Full article

In recent years, due to the diversity of fire scenes in ports and ships, the problem of fire command is complicated. In the case of power failure, the original command platform and fire extinguishing system will not be able to be used normally, or the fire extinguishing resources carried by the ship when it is on fire cannot be used. In the traditional firefighting ability research, there is no clear measure of firefighting ability, resulting in inaccurate calculation results. By corresponding to the quantity and composition of resources for the study of fire extinguishing capability, the combination of the fire dynamics simulation software PyroSim2020 and a calculation model that converts its resources into the total amount and flow of fire extinguishing agent can be provided. Based on the analytic hierarchy process (AHP), a firefighting demand grade calculation and judgment model was established, which included five factors: fire scale, combustion material characteristics, foam extinguishing agent performance, firefighting object characteristics, and external factors. It concluded that the demand assignment values of each index element were 2, 5, 6, 9, and 10, and further proposed the grade judgment criteria for the calculation results of comprehensive fire demand. Through the quantitative simulation of firefighting demand based on the fire scenario and calculation model test of the consumption prediction of cooperative firefighting equipment, it can also provide a strategic reference for related cooperative fire rescue. Full article