Search Results (464)

Common data environments (CDEs) are centralized repositories in the architecture, engineering, and construction (AEC) industry designed to improve collaboration and project efficiency. However, CDEs hosted on cloud platforms face significant risks from insider threats, as stakeholders with legitimate access may act maliciously. To address these vulnerabilities, we developed a game-theoretic framework using Bayesian games that account for incomplete information, modeling both simultaneous and sequential interactions between insiders and data defenders. In the simultaneous move game, insiders and defenders act without prior knowledge of each other’s decisions, while the sequential game allows the defender to respond after observing insider actions. Our analysis used Bayesian Nash Equilibrium to predict malicious insider behavior and identify optimal defense strategies for safeguarding CDE data. Through simulation experiments and validation with real project data, we illustrate how various parameters affect insider–defender dynamics. Our results provide insights into effective cybersecurity strategies tailored to the AEC sector, bridging theoretical models with practical applications and supporting data security within the increasingly digitalized construction industry. Full article

With global economic growth and intensifying market competition, Chinese manufacturing firms are under pressure to enhance product competitiveness and adapt to changing consumer demands, requiring continuous product innovation and upgrading. This study introduces a tripartite evolutionary game model involving manufacturing firms, service providers and consumers to analyze the strategic stability and the impact of various factors on decision-making within this system. The results indicate that the decisions of these actors are interdependent, with a fair distribution of innovation benefits and costs being key to stimulating innovation enthusiasm and participation. The presence of free-riding behavior affects strategic choices, and a robust system of rewards and penalties can mitigate this problem. The cost of obtaining market information also influences service providers’ participation in innovation, with high costs potentially suppressing their involvement. This research provides insights to guide collaborative innovation efforts during industrial transformation, highlighting the direct impact of service providers and consumers on the success of manufacturing upgrades. Full article

Real-time dynamic capture of a single moving target is one of the most crucial and representative tasks in UAV capture problems. This paper proposes a multi-UAV real-time dynamic capture strategy based on a differential game model to address this challenge. In this paper, the dynamic capture problem is divided into two parts: pursuit and capture. First, in the pursuit–evasion problem based on differential games, the capture UAVs and the target UAV are treated as adversarial parties engaged in a game. The current pursuit–evasion state is modeled and analyzed according to varying environmental information, allowing the capture UAVs to quickly track the target UAV. The Nash equilibrium solution in the differential game is optimal for both parties in the pursuit–evasion process. Then, a collaborative multi-UAV closed circular pipeline control method is proposed to ensure an even distribution of capture UAVs around the target, preventing excessive clustering and thereby significantly improving capture efficiency. Finally, simulations and real-flight experiments are conducted on the RflySim platform in typical scenarios to analyze the computational process and verify the effectiveness of the proposed method. Results indicate that this approach effectively provides a solution for multi-UAV dynamic capture and achieves desirable capture outcomes. Full article

Trust plays a pivotal role in sustaining cooperative relationships and serves as the cornerstone of successful cooperation among participants in public–private partnership (PPP) projects. A decline in trust can result in unethical behavior, fractured relationships, and even project failure. Despite its critical importance, there is an insufficiency of research exploring the evolutionary dynamics of trust, particularly from the perspective of public participation. To address this, an evolutionary game model is constructed to analyze the evolution of behavioral strategies and identify their stable state from a dynamic perspective. The model examines the influence of trust levels and public participation on cooperation, revealing that trust asymmetry negatively impacts collaborative outcomes in PPP projects. There is an optimal trust level: trust positively influences cooperation up to a certain peak, beyond which excessive trust becomes detrimental and hinders cooperative outcomes. When trust levels are equal, the selection of behavioral strategies is influenced by the initial willingness of participants. A threshold exists for this initial willingness, above which cooperation is more likely to succeed. Additionally, public participation is found to significantly enhance cooperation. These conclusions advance the theoretical advancements of trust in PPP projects and offer valuable insights for policymakers and stakeholders in addressing trust-related challenges, thereby fostering sustainable collaboration. Full article

As a new construction method, prefabricated buildings have many benefits. The majority of owners and contractors still work together using conventional approaches at the moment. However, the standardization and batch production of prefabricated components are challenging to achieve using these methods. Furthermore, they prevent economies of scale from being realized. A thorough examination of the developmental dynamics of the cooperative relationship between prefabricated building owners and contractors is necessary to support the high-quality expansion of the prefabricated building industry. This paper presents an evolutionary game model that analyses the cooperation relationship between the owner and the contractor of a prefabricated building. Following this, the model is numerically simulated with an emphasis on key variables, such as excess benefits, transaction costs, and the decrease in risk costs. The results indicate that the excess benefit factor positively influences the system’s evolution toward strategic cooperation. Additionally, establishing an appropriate partition coefficient of excess benefit can effectively enhance strategic cooperation between the two parties. The presence of transaction costs in collaboration between owners and contractors hinders the system’s progression toward strategic cooperation. Appropriately allocating transaction expenses can improve the parties’ strategic cooperation. The reduction in risk costs has a favorable impact on the system’s evolution toward strategic cooperation. With the goal to maximize strategic cooperation, there is also an ideal partition coefficient for risk cost reduction. The issue of inadequate risk cost consideration in previous research is successfully resolved with the model proposed in this work. The research findings hold significant value in guiding the formulation of incentive measures, optimizing profit distribution mechanisms, and enhancing the cooperative environment within enterprises. 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

With the global advancement of sustainable development concepts, the logistics industry is confronting significant environmental challenges, making green innovation a critical driver for industrial transformation and upgrading. However, during the green innovation process in logistics service supply chains, the differing roles of logistics service integrators and logistics service providers, combined with high costs and uncertain returns, hinder coordination efficiency. Therefore, it is imperative to enhance the coordination of supply chain contracts. Nevertheless, existing literature provides limited insights into the coordination capacities and impacts of different contracts on green innovation in logistics service supply chains. This study develops a Stackelberg game model where the logistics service integrator acts as the leader and logistics service providers serve as followers, examining the effects of cost-sharing contracts, revenue-sharing contracts, and hybrid cost-sharing and revenue-sharing contracts on supply chain coordination. Numerical simulations are employed to validate the findings. The results indicate that hybrid contracts provide the strongest incentives for green innovation among supply chain participants, whereas cost-sharing contracts offer relatively weaker incentives for integrators’ green design innovation. In addition, revenue-sharing contracts and hybrid contracts were effective in reducing the wholesale price of green logistics services, although all three contract types resulted in higher market prices. Finally, all three contract types achieve Pareto improvements in the supply chain, with hybrid contracts maximizing the total profit of the supply chain. This study not only elucidates the incentive mechanisms and relative advantages of different contracts in supply chain collaboration, but also offers critical theoretical and practical insights for designing contracts to foster green innovation in the logistics sector. Full article

Global fruit production costs are increasing amid intensified labor shortages, driving heightened interest in robotic harvesting technologies. Although multi-arm coordination in harvesting robots is considered a highly promising solution to this issue, it introduces technical challenges in achieving effective coordination. These challenges include mutual interference among multi-arm mechanical structures, task allocation across multiple arms, and dynamic operating conditions. This imposes higher demands on task coordination for multi-arm harvesting robots, requiring collision-free collaboration, optimization of task sequences, and dynamic re-planning. In this work, we propose a framework that models the task planning problem of multi-arm operation as a Markov game. First, considering multi-arm cooperative movement and picking sequence optimization, we employ a two-agent Markov game framework to model the multi-arm harvesting robot task planning problem. Second, we introduce a self-attention mechanism and a centralized training and execution strategy in the design and training of our deep reinforcement learning (DRL) model, thereby enhancing the model’s adaptability in dynamic and uncertain environments and improving decision accuracy. Finally, we conduct extensive numerical simulations in static environments; when the harvesting targets are set to 25 and 50, the execution time is reduced by 10.7% and 3.1%, respectively, compared to traditional methods. Additionally, in dynamic environments, both operational efficiency and robustness are superior to traditional approaches. The results underscore the potential of our approach to revolutionize multi-arm harvesting robotics by providing a more adaptive and efficient task planning solution. We will research improving the positioning accuracy of fruits in the future, which will make it possible to apply this framework to real robots. Full article

Urban green development is crucial for citizen well-being and serves as a key pillar of sustainable development strategies. Collaborative governance mechanisms help address management, technical, and financial challenges in urban green development. The renovation of old residential communities within the context of urban renewal is becoming a focal point in the development of Chinese cities. To promote green development in the renovation of old residential communities in China, this study introduces the collaborative governance mechanism of government–social capital cooperation and identifies the factors influencing social capital participation in green development. A hybrid approach is proposed, combining grounded theory, IGAHP subjective weighting, CRITIC objective weighting, game theory, and ISM. This approach is applied to identify, evaluate, and analyze the factors driving social capital participation in the green renovation of old residential communities. The results indicate that government incentives and constraints, policy support, the costs and benefits of implementing green renovation, the development of green renovation technologies, and construction technical abilities significantly influence the decision-making of social capital. The findings provide theoretical support for decision-making by governments and social capital in participating in the green renovation of old residential communities and offer a methodological reference for analyzing social capital participation in other urban green development projects and for further policy formulation. Future research should focus on examining social capital involvement in other types of urban green development projects. Full article

Under the carbon peaking and carbon neutrality target background, efficient collaborative scheduling between distribution networks and multi-microgrids is of great significance for enhancing renewable energy accommodation and ensuring stable system operation. Therefore, this paper proposes a collaborative optimization method for the operation of distribution networks and multi-microgrids with shared energy storage based on a multi-body game. The method is modeled and solved in two stages. In the first stage, a multi-objective optimization configuration model for shared energy storage among multi-microgrids is established, with optimization objectives balancing the randomness of renewable energy fluctuations and the economics of each microgrid undertaking shared energy storage. The charging and discharging interactive power of energy storage and each microgrid at various time periods are obtained and passed to the second stage. In the second stage, with the distribution network as the leader and shared energy storage and multi-microgrids as followers, a game optimization model with one leader and 2 followers is established. The model is solved based on an outer-layer genetic algorithm nested with an inner-layer solver to determine the electricity purchase and sale prices among the distribution network, multi-microgrids, and shared energy storage at various time periods, thereby minimizing operational costs. Finally, based on the power interaction of microgrids to measure their contributions, an improved Shapley value cost allocation method is proposed, effectively achieving a balanced distribution of benefits among the distribution network, shared energy storage, and multi-microgrids, thereby improving overall operational revenue. Meanwhile, a new method for calculating the shared energy storage capacity and the upper limit of charging and discharging power based on a game framework was proposed, which can save 37.23% of the power upper limit and 44.89% of the capacity upper limit, effectively saving the power upper limit and capacity upper limit. Full article

One of the most significant solution concepts in cooperative grey game theory is the grey Shapley value. This value is a fascinating one among the models and methods of operations research, and has been the subject of extensive study by other researchers. The objective of this study is to characterize and redefine this value in cooperative games where coalition values are grey numbers. In this study, the grey Shapley value is characterized by the following axioms: $\mathcal{G}$-gain loss, $\mathcal{G}$-null player, and $\mathcal{G}$-differential marginality. Finally, this study concludes with an investigation of some applications involving production costs. This study is based on an investigation of the costs incurred when milk producers collaborate. Full article

Background: The emergence of more than 40 new infectious diseases since the 1980s has emerged as a serious global health concern, many of which are zoonotic. In response, many international organizations, including the US Centers for Disease Control and Prevention (CDC), the World Health Organization (WHO), and the European Center for Disease Prevention and Control (ECDC), have developed strategies to combat these health threats. The need for rapid vaccine development has been highlighted by Coronavirus disease 2019 (COVID-19), and mRNA technology has shown promise as a platform. While the acceleration of vaccine development has been successful, concerns have been raised about the technical limits, safety, supply, and distribution of vaccines. Objective: This study analyzes the status of vaccine platform development in global pandemics and explores ways to respond to future pandemic crises through an overview of the roles of international organizations and their support programs. It examines the key roles and partnerships of international organizations such as the World Health Organization (WHO), vaccine research and development expertise of the Coalition for Epidemic Preparedness Innovations (CEPI), control of the vaccine supply chain and distribution by the Global Alliance for Vaccines and Immunization (GAVI), and technology transfer capabilities of the International Vaccine Institute (IVI) in supporting the development, production, and supply of vaccine platform technologies for pandemic priority diseases announced by WHO and CEPI and analyzes their vaccine support programs and policies to identify effective ways to rapidly respond to future pandemics caused by emerging infectious diseases. Methods: This study focused on vaccine platform technology and the key roles of international organizations in the pandemic crisis. Literature data on vaccine platform development was collected, compared, and analyzed through national and international literature data search sites, referring to articles, journals, research reports, publications, books, guidelines, clinical trial data, and related reports. In addition, the websites of international vaccine support organizations, such as WHO, CEPI, GAVI, and IVI, were used to examine vaccine support projects, initiatives, and collaborations through literature reviews and case study methods. Results: The COVID-19 pandemic brought focus on the necessity for developing innovative vaccine platforms. Despite initial concerns, the swift integration of cutting-edge development technologies, mass production capabilities, and global collaboration have made messenger RNA (mRNA) vaccines a game-changing technology. As a result of the successful application of novel vaccine platforms, it is important to address the remaining challenges, including technical limits, safety concerns, and equitable global distribution. To achieve this, it is essential to review the regulatory, policy, and support initiatives that have been implemented in response to the COVID-19 pandemic, with particular emphasis on the key stages of vaccine development, production, and distribution, to prepare for future pandemics. An analysis of the status of vaccine development for priority pandemic diseases implies the need for balanced vaccine platform development. Also, international organizations such as WHO, CEPI, GAVI, and IVI play key roles in pandemic preparedness and the development and distribution of preventive vaccines. These organizations collaborated to improve accessibility to vaccines, strengthen the global response to infectious diseases, and address global health issues. The COVID-19 pandemic response demonstrates how the synergistic collaboration of WHO’s standardized guidelines, CEPI’s vaccine research and development expertise, GAVI’s control of the vaccine supply chain and distribution, and IVI’s technology transfer capabilities can be united to create a successful process for vaccine development and distribution. Conclusions: In preparation for future pandemics, a balanced vaccine platform development is essential. It should include a balanced investment in both novel technologies such as mRNA and viral vector-based vaccines and traditional platforms. The goal is to develop vaccine platform technologies that can be applied to emerging infectious diseases efficiently and increase manufacturing and distribution capabilities for future pandemics. Moreover, international vaccine support organizations should play key roles in setting the direction of global networking and preparing for international vaccine support programs to address the limitations of previous pandemic responses. As a result, by transforming future pandemic threats from unpredictable crises to surmountable challenges, it is expected to strengthen global health systems and reduce the social and economic burden of emerging infectious diseases in the long term. Full article

Theoretical background: Occupational safety training is crucial for reducing workplace risks, but traditional approaches often struggle to fully engage participants or guarantee effective knowledge retention. Over the past decade, interest in using technology-based active learning strategies has grown, with active learning focusing on practical approaches that actively engage workers in the learning process. Objective: The research aims to identify the active learning strategies currently employed in OS training and assess the benefits and challenges of these approaches. Method: A systematic literature review was conducted in line with the PRISMA guidelines. After a rigorous selection process based on inclusion and exclusion criteria, 24 eligible articles were identified from the Scopus, Web of Science, and PubMed databases. Results: Technology-based active learning strategies, especially serious games, enhance the comprehension of safety procedures. Simulating risk scenarios and providing immediate feedback facilitates knowledge transfer to real-world environments. However, limitations are evident, such as technical complexity, high implementation costs, and difficulties in acceptance by less experienced users. Conclusions: The study concludes by emphasizing the need for targeted research to overcome the identified challenges, such as improving simulation realism, reducing costs through collaborative partnerships, and addressing usability issues for different worker populations. Full article

The evolving potential of virtual reality and the Metaverse to create immersive, engaging learning experiences and of digital escape room games to provide opportunities for active, autonomous, personalised learning has brought both to the forefront for educators seeking to transform traditional educational settings. This study investigated the impact of collaboration within a virtual reality serious escape room game in the Metaverse that was designed for English as a Foreign Language (EFL) learners to explore how this approach influences their academic performance and overall learning experience. A comparative research approach was adopted using twenty (n = 20) adult learners divided into two equal-sized groups; the experimental group completed the virtual reality escape room in pairs, while the control group completed it individually. Mixed methods were employed, utilising a pre- and post-test to measure academic performance, as well as a questionnaire and two focus groups to evaluate participants’ learning experiences. Results indicated a trend of learners working collaboratively showing better learning outcomes and experience, offering valuable insights regarding the integration of serious Metaverse games in language-focused educational contexts. Full article

Virtual reality (VR) sports games are increasingly becoming important tools for enhancing cognitive and physical health among older adults. However, current research faces several challenges. Many experimental studies utilize existing games designed for general populations, lacking those specifically tailored for older adults; small sample sizes limit the generalizability of results; and issues such as cybersickness and technology adaptability remain challenges, although progress has been made. This literature review employs the PRISMA method to assess the latest research findings on the impact of VR sports games in improving cognitive and physical functions in older adults. We conducted a search in the Web of Science and SCOPUS databases, selecting literature related to VR interventions for balance, muscle strength, memory, and concentration enhancement. From an initial pool of 1705 articles, 12 studies met the inclusion criteria. Results indicate that VR sports games significantly enhance older adults’ exercise motivation through immersive experiences, while real-time feedback promotes the simultaneous improvement of cognitive and physical abilities. Furthermore, the social interaction elements within the VR environment effectively alleviate feelings of loneliness and enhance engagement longevity. Future research should focus on developing personalized and collaborative VR game designs and exploring their applications in home rehabilitation and community care to enhance accessibility and long-term effects. This review provides theoretical and practical support for the innovative application of VR technology in promoting healthy aging. It will benefit technology developers and researchers focused on the cognitive and physical health of older adults. Full article