Search Results (251)

Water pumping stations are essential components of national water infrastructure, yet their construction involves complex, high-risk processes, and traditional risk management approaches often show significant limitations in practice. To address this challenge, this study proposes a Building Information Modeling (BIM)-based approach that integrates structured risk information into an interactive nD BIM environment. We first developed an extended Risk Breakdown Matrix (eRBM), which systematically organizes risk factors, assessment levels, and causal relationships. This is linked to the BIM model through a customized BIM–risk integration framework. Subsequently, the framework is further implemented and quantitatively validated via a Navisworks plug-in. The system incorporates three core components: (1) a structured risk information model, (2) a visualization mechanism for dynamic, spatiotemporal risk representation and (3) risk influence path analysis using the Decision-Making Trial and Evaluation Laboratory–Interpretive Structural Modeling (DEMATEL–ISM) method. The plug-in allows users to access risk information on demand and monitor its evolution over time and space during the construction process. This study makes contributions by innovatively integrating risk information with BIM and developing a data-driven visualization tool for decision support, thereby enhancing project managers’ ability to anticipate, prioritize, and mitigate risks throughout the construction lifecycle of water pumping station projects. Full article

Electric vehicle (EV) adoption is a critical step toward achieving sustainable transportation and reducing carbon emissions, especially in regions like Saudi Arabia that are undergoing rapid urban development and energy diversification. However, the widespread adoption of EVs is hindered by a variety of interrelated economic, infrastructural, and policy-related factors. This study aims to systematically identify and structure these influencing factors using Interpretive Structural Modeling (ISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis. Based on a thorough literature review and expert consultation, 17 key factors affecting EV adoption in Saudi Arabia were identified. The ISM results reveal that purchase price, long-term savings, resale value, urban planning, and accessibility are among the most influential drivers of adoption. The MICMAC analysis complements these insights by categorizing the variables based on their driving and dependence power. The developed hierarchical model provides insights into the complex interdependencies among these factors and offers a strategic framework to support policymakers and stakeholders in accelerating EV uptake. The study contributes to a deeper understanding of the dynamics influencing EV adoption in emerging markets. Full article

The rapid development of the new energy vehicle industry has resulted in a large number of retired power batteries. Creating products from second-use retired batteries (SURB) is crucial for sustainability by extending the batteries’ operational life, which, in turn, conserves resources and protects the environment. Consequently, this paper establishes a structural equation model (SEM) based on an interpretive structural model (ISM). It investigates consumers’ willingness to pay (WTP) for secondary utilization of retired batteries (SURB) products by extending the theory of planned behavior (TPB)with incentive policy, knowledge, and perceived risk. The study reveals that incentive policies and knowledge are fundamental factors, while subjective norms, perceived risk, and perceived behavioral control exert moderate influence. Attitude emerges as the most significant predictor, directly affecting consumers’ WTP, with perceived behavioral control also playing a key role. Incentive policies and knowledge have an indirect influence through perceived behavioral control and perceived risk. Finally, this paper discusses the theoretical and practical significance of the findings and provides relevant policy recommendations. Full article

In recent years, the preservation of historic university buildings has gained increasing attention, particularly in the context of fire safety, as building fires pose significant threats to these structures. In alignment with global initiatives on resilient cities and communities, a focus on enhancing fire resilience in historic university buildings has emerged. From the perspective of fire resilience in historic university buildings, this study constructs an IDIA model for evaluating fire resilience in historic university buildings based on the improved Delphi method(ID), the Interpretive Structure Model (ISM), and the Analytical Network Process (ANP). This model objectively identifies fire resilience indicators for historic university buildings, explores the interactions between influencing factors, and analyzes the priorities of factors influencing fire resilience in historic university buildings, thereby improving the overall fire resilience of the historic university building system. This research focused on the administrative and teaching buildings of the former Central South School of Architecture and Engineering on the Mafangshan Campus of Wuhan University of Technology. The results indicate that fire resistance levels, the fire water supply system and fire awareness are extremely important indicators of fire resilience in historic university buildings. This research framework contributes to understanding the fire resilience of historic university buildings and is of vital importance for building resilient communities. Full article

To enhance the understanding and management of fire risks in subway stations, this study aims to identify critical fire risk transmission paths using an integrated PSR–DEMATEL–ISM approach. A comprehensive evaluation framework is first constructed based on the Pressure–State–Response (PSR) model, systematically categorizing 22 influencing factors into three dimensions: pressure, state, and response. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is then employed to analyze the causal relationships and centrality among these factors, distinguishing between cause and effect groups. Subsequently, Interpretive Structural Modeling (ISM) is applied to organize the factors into a multi-level hierarchical structure, enabling the identification of risk propagation pathways. The analysis reveals five high-centrality and high-causality factors: fire safety education and training, completeness of fire management rules and regulations, fire smoke detection and firefighting capability, operational status of monitoring equipment, and effectiveness of emergency response plans. Based on these key drivers, six major transmission paths are derived, reflecting the internal logic of fire risk evolution in subway environments. Among them, chains originating from Fire Safety Education and Training (S6), Architectural Fire Protection Design (S7), and Completeness of Fire Management Rules and Regulations (S16) exhibit the most significant influence on system-wide safety performance. This study provides theoretical support and practical guidance for proactive fire prevention and emergency planning in urban rail transit systems, offering a structured and data-driven approach to identifying vulnerabilities and improving system resilience. Full article

In the healthcare industry, the selection of biocompatible materials suitable for 3D printing is markedly less extensive than what is typically available through conventional manufacturing processes. Liquid silicone rubber (LSR) is distinguished by its exceptional stability, excellent biocompatibility, and considerable flexibility, offering significant prospects for manufacturers of medical devices involved in 3D printing. The primary aim of this research is to examine the essential factors and their interconnections that affect the 3D printing process with a Direct Ink Writing (DIW) 3D printer, which is specifically tailored for the production of aortic heart valves made from UV-cured silicone. Additionally, this study aims to investigate how the size of the heart valve impacts cardiac performance. This study implements House of Quality (HOQ) and Interpretive Structural Modeling (ISM) techniques to evaluate the interrelations among the different factors identified in the 3D printing process. Liquid silicone is especially advantageous for Direct Ink Writing (DIW) due to its low-temperature curing properties and low viscosity, which enable precise printing for intricate designs. Two different sizes of aortic heart valves, namely 23 mm and 36 mm, will be manufactured using UV-cured silicone, with both sizes having the same leaflet thickness of 0.8 mm and 1.6 mm. An examination will be conducted to assess how the size of the valve influences its performance and functionality. A Mock Circulatory Loop experimental setup will be used to test the silicone-printed heart valves, focusing on their capacity to maintain unidirectional flow and inhibit backflow through the flexible leaflets that function in alignment with the cardiac cycle. Full article

The integration of artificial intelligence (AI), big data analytics, and blockchain technologies within the digital economy presents transformative opportunities for promoting low-carbon urban development. However, a systematic understanding of how these digital innovations influence urban carbon mitigation remains limited. This study addresses this gap by proposing two research questions (RQs): (1) What are the key success factors for artificial intelligence, big data, and blockchain in urban carbon emission reduction? (2) How do these technologies interact and support the transition to low-carbon cities? To answer these questions, the study employs a hybrid methodological framework combining the decision-making trial and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) techniques. The data were collected through structured expert questionnaires, enabling the identification and hierarchical analysis of twelve critical success factors (CSFs). Grounded in sustainability transitions theory and institutional theory, the CSFs are categorized into three dimensions: (1) digital infrastructure and technological applications; (2) digital transformation of industry and economy; (3) sustainable urban governance. The results reveal that e-commerce and sustainable logistics, the adoption of the circular economy, and cross-sector collaboration are the most influential drivers of digital-enabled decarbonization, while foundational elements such as smart energy systems and digital infrastructure act as key enablers. The DEMATEL-ISM approach facilitates a system-level understanding of the causal relationships and strategic priorities among the CSFs, offering actionable insights for urban planners, policymakers, and stakeholders committed to sustainable digital transformation and carbon neutrality. Full article

In recent years, the biomedical startup industry has flourished, and yet, it still faces challenges in adapting to changing market demands. Meanwhile, the widespread use of single-use medical devices generates significant waste, posing threats to environmental sustainability. Addressing this issue has become a critical challenge for humanity today. The study aimed to delve into the specific difficulties faced by Taiwanese biomedical entrepreneurs during the innovation and development of medical devices from a sustainability perspective and to explore solutions. This study collected first-hand experiences and insights from Taiwanese biomedical entrepreneurs through a literature review and expert questionnaires. It employed Interpretive Structural Modeling to analyze the development stages and interrelationships of biomedical device startups for building sustainable biomedical innovation. The Clinical Needs Assessment is revealed as the most influential factor, shaping Regulatory Feasibility Evaluation, Clinical Trial Execution, and Market Access Compliance. Our findings provide a structured problem-solving framework to assist biomedical startups in overcoming challenges while incorporating energy-saving and carbon reduction processes to achieve environment sustainability goals. The results of this study show that biomedical innovation practitioners should prioritize integrating sustainability considerations directly into the earliest stage of a Clinical Needs Assessment. Full article

Historical districts are the mark of the continuity of urban history and are non-renewable. Typhoon disasters rank among the most serious and frequent natural threats to China’s coastal regions. Improving the wind resilience of China’s coastal historical districts is of great significance for their protection and inheritance. Accurately analyzing the different characteristics of the influencing factors of wind resilience in China’s coastal historical districts can provide a theoretical basis for alleviating the damage caused by typhoons and formulating disaster prevention measures. This paper accurately identifies the main influencing factors of wind resilience in China’s coastal historical districts and constructs an influencing factor system from four aspects: block level, building level, typhoon characteristics, and emergency management. An IIM model for the systematic analysis of influencing factors of wind resilience in China’s coastal historical districts based on the Improved Decision Making Trial and Evaluation Laboratory (IDEMATEL), Interpretive Structural Modeling (ISM), and Matrices Impacts Croises-Multiplication Appliance Classement (MICMAC) methods is established. This allows us to explore the mechanism of action of internal influencing factors of typhoon disasters and construct an influencing factor system, in order to propose prevention measures from the perspective of typhoon disaster characteristics and the overall perspective of China’s coastal historical districts. The results show that the driving force of a building’s windproof design in China’s coastal historical districts is low, but its dependence is strong; the driving forces of block morphology, typhoon level, and emergency plan are strong, but their dependence is low. A building’s windproof design is a direct influencing factor of the wind resilience of China’s coastal historical districts; block morphology, typhoon level, and emergency plan are the most fundamental and key influencing factors of the wind resilience of China’s coastal historical districts. Full article

Building Information Modeling (BIM) is an emerging information technology tool and management concept in the construction industry, enabling the transition from traditional 2D drawings to 3D models. It helps improve efficiency and promote industrial upgrading in the construction sector. However, in actual project practices, the effectiveness of BIM application has not been as expected, and the return on investment (ROI) may even be negative. Through a literature review, we found that risk identification, correlation analysis, and risk assessment related to BIM implementation require further research. To better promote the application of BIM in the construction industry, this study employs relevant methods to analyze the risk factors of BIM implementation. Through the literature review, 31 BIM implementation risk factors were identified, and 24 major risk factors were extracted using the AHP (Analytic Hierarchy Process) method. The ISM (Interpretative Structural Modeling) method was then used to determine the interrelationships among these major risk factors, establishing a hierarchical model with seven levels. Through MICMAC (Matrices Impacts Corises-Multiplication Appliance Classment) analysis, the BIM implementation risk factors were categorized into three groups, and three-tiered response strategies were proposed at the industry, organizational, and project levels. By analyzing the main risk factors of BIM application in China’s construction industry and formulating corresponding response strategies to promote its successful application, this study contributes to the knowledge system. The findings also provide a reference for other countries and regions to clarify major risk factors and their interrelationships, thereby improving the effectiveness of BIM implementation. Full article

A reasonable water price for interbasin water transfer projects (IWTPs) is vital for solving the problem of unequal water use among different water users caused by different water source supply prices, promoting external water transfer consumption, and ensuring the stable and equitable project operation. However, the formulation of the water price is influenced by many factors, and it is necessary to identify the key factors and their interactions in the water prices formulation for IWTPs. In this study, we identified 15 factors that affect it. This paper used the fuzzy decision-making trial and evaluation laboratory (DEMATEL) to analyze the causal relationships and importance levels among the influencing factors. A four-level hierarchical structural model was established using an interpretive structural model (ISM), which intuitively displayed the hierarchical structure and pathways of each factor. The role of each influencing factor was determined by using MICMAC. Finally, the grey relational analysis method was used to identify the top five key factors: the socioeconomic development level, diversification of water resources, water demand of water users, cost of the project’s water supply, and national policies and regulations. Strategies to improve the formulation of water prices have also been proposed. The results show that the top five factors influencing the water price for IWTPs are the socio-economic development level, diversification of water resources, water demand of water users, cost of the project’s water supply, and national policies and regulations. The water price should be formulated based on the water resource cost, supply–demand relationships of water resources, and policy objectives to ensure scientific and reasonable cost allocation and differentiated pricing. For water-transfer projects with strong public welfare, the government may lower water prices through financial subsidies to alleviate the burden on water users. Full article

To implement the Kigali Amendment to the Montreal Protocol, the global academic community has intensified its research on environmentally friendly refrigerant substitutes. This effort aims to effectively reduce greenhouse gas emissions and facilitate the achievement of carbon neutrality goals. In this study, 14 key influencing factors were identified through the Delphi method, and the Decision-making Trial and Evaluation Laboratory (DEMATEL) approach was innovatively applied to systematically analyze the interrelationships among these factors. The results indicate that technological innovation related to refrigerant substitution ranks first with a centrality score of 5.429, confirming it as the core driving factor for refrigerant substitution. Subsequently, through the integration of Interpretive Structural Modeling (ISM) and Cross-impact Matrix Multiplication Applied to Classification (MICMAC), a hierarchical structure of influencing factors was further developed. This clarified high-driving factors such as government policies and life-cycle costs, as well as highly interrelated factors including climate conditions, greenhouse gas emissions, and performance coefficients. The key contribution of this paper is its success in overcoming the limitations of single-factor analysis by integrating multiple dimensions of influencing factors to construct a hierarchical classification. This innovative and systematic theoretical framework not only offers a scientific basis and decision-making support for refrigerant substitution but also possesses substantial theoretical value and practical guidance. Furthermore, it serves as an essential reference for advancing the development of low-carbon refrigeration technologies. Full article

This study investigates how small and medium-sized enterprises (SMEs) can successfully transform into high-tech, high-value-added companies within the aviation industry, considering the latest manufacturing, certification, and quality technologies. We identified critical factors through a comprehensive literature review and expert interviews, then analyzed the relationships between these factors using two complementary methodologies: grey DEMATEL (Decision Making and Trial Evaluation Laboratory) and ISM (Interpretive Structural Modeling). Our approach employed grey numbers to address individual uncertainty and utilized the Aczel–Alsina function to integrate expert opinions while accounting for inter-expert disagreements. The research focused on traditional machinery manufacturers in Taiwan transitioning to aviation manufacturing, the findings being applicable to enterprises in other countries with similar environments where small and medium-sized enterprises are the main players. The results revealed three critical factors determining successful transformation: organizational culture and workforce quality, aviation certification protocols, and original equipment manufacturer (OEM) outsourcing policies and requirements. Based on these findings, the study provides strategic recommendations for government policymakers and business executives to facilitate the successful entry of traditional industrial enterprises into the aviation manufacturing sector. Full article

Unrealistic cash flow forecasts negatively affect project stakeholders and are a common issue for construction practitioners. This study proposes a new method for predicting the probabilistic cash flow of a project that can automate the calculation process while considering the impact of risks and their inter-related structure. This research integrates a Bayesian Belief Network (BBN) and 5D-BIM to provide a new probabilistic cash flow analysis approach. Here, 5D-BIM is used to facilitate cash flow calculations and automate the process. The BBN has also been implemented to assess the impact of risk factors on project cash flow, considering their complex inter-related structure. In addition, a hybrid approach combining fuzzy set theory, decision-making trial and evaluation laboratory (DEMATEL), and interpretive structural modeling (ISM) is used to form the BBN. The proposed method provides a robust tool for calculating the probabilistic cash flow of the project. The results showed that the project’s cash flow in the last month was IRR 14.4 billion without considering the impact of risks. The probabilistic cash flow of the project indicates that due to the impact of the risks, the project cash flow will be in the range of IRR −142.2 billion and IRR 1.11 billion at the end of the project. This shows the possibility of experiencing between 11 and 130% deviation in the project cash flow due to existing risks. In conclusion, project cash flow is unreliable without considering the impact of risks. This framework supports better financial decisions and allows for the evaluation of cash flow risk management scenarios. Full article

Adopting building information modeling (BIM) within the architecture, engineering, and construction (AEC) industry presents an opportunity to tackle persistent challenges, such as chronic productivity deficits and emerging imperatives like sustainability. However, BIM implementation (BIMI) across European Union (EU) countries diverges due to different contexts and the complexity of BIM. This study aims to identify the main barriers to BIMI and recommend effective mitigation measures in Portugal, a late-adopting EU country. Initially, 28 BIMI barriers were identified through a literature review. Experts in a Delphi survey then selected 15 critical barriers. An interpretive structural modeling (ISM) model was developed with input from a focus group to clarify the hierarchical relationships among barriers, and an impact matrix cross-reference multiplication applied to a classification (MICMAC) analysis was performed to evaluate the barriers’ driving and dependence powers. The resulting main barriers to BIMI include a lack of evaluation mechanisms, ignorance of BIM benefits, a shortage of skilled professionals, limited experience and cooperation, resistance to change, and inadequate top management support. Finally, experts in a second focus group developed mitigation measures to address the main barriers while ensuring the measures affect the entire barrier system. These findings will assist researchers, policymakers, and practitioners in late-adopter EU countries in addressing these barriers effectively. Full article