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学者姓名：李晓娟
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Urban flood disasters pose substantial threats to public safety and urban development, with climate change exacerbating the intensity, frequency, and consequences of such events. While existing research has predominantly concentrated on flood control and disaster response, limited attention has been paid to the underlying drivers and evolutionary mechanisms of urban flood resilience. This study applies the resilience framework to develop an integrated methodology for assessing urban flood resilience. Focusing on three coastal provinces in China that frequently experience severe flooding, the study identifies fifteen key resilience drivers to construct a compound driver system. The evolution of flood resilience is examined through the lens of the Pressure-StateResponse (PSR) model, which categorizes the drivers into three distinct dimensions. The Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretative Structural Model (ISM) methods are employed to analyze the interrelationships and hierarchical structure among drivers. In parallel, a system dynamics (SD) modeling approach is used to construct causal-loop and stock-flow diagrams, revealing the complex interdependencies and critical pathways across resilience dimensions. The analysis identifies rainfall intensity as the most influential driver in shaping urban flood resilience. Scenario simulations based on the SD model explore variations in resilience performance under three developmental pathways. Findings suggest that enhancing response resilience is crucial under current flood control trajectories. This study contributes novel conceptual and methodological insights into the measurement and evolution of urban flood resilience. It offers actionable guidance for policymakers aiming to strengthen flood risk governance and urban safety.
Keyword ：
Decision Making Trial and Evaluation Decision Making Trial and Evaluation (DEMATEL-ISM) combined method (DEMATEL-ISM) combined method Intrinsic mechanisms Intrinsic mechanisms Laboratory and Interpretive Structure Model Laboratory and Interpretive Structure Model Pressure-State-Response (PSR) model Pressure-State-Response (PSR) model Resilience drivers Resilience drivers Resilience perspective Resilience perspective Scenario simulation Scenario simulation
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| GB/T 7714 | Li, Xiaojuan , Chen, Rixin , Ren, Yifei et al. Intrinsic drivers of urban flood disasters from the resilience perspective in China [J]. | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2026 , 265 . |
| MLA | Li, Xiaojuan et al. "Intrinsic drivers of urban flood disasters from the resilience perspective in China" . | RELIABILITY ENGINEERING & SYSTEM SAFETY 265 (2026) . |
| APA | Li, Xiaojuan , Chen, Rixin , Ren, Yifei , Jim, C. Y. . Intrinsic drivers of urban flood disasters from the resilience perspective in China . | RELIABILITY ENGINEERING & SYSTEM SAFETY , 2026 , 265 . |
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Given the construction industry's substantial role in global energy consumption and carbon emissions, reducing CO2 emissions from this sector is crucial for achieving "dual carbon" goal. This study examines recent carbon emissions trends in Fujian Province's construction industry and identifies key drivers using the GDIM model. Through the entropy weight-TOPSIS method, it quantifies the influence of economic, energy, social and technical factors on carbon emissions and evaluates emission reduction capacities over time. Additionally, the extended STIRPAT model establishes equations to dissect carbon emission relationships, while scenario analysis predicts future CO2 emissions and reductions. Results show that: (1) GDP stands out as the primary positive driver, contributing 53.04 %, while CG serves as the strongest negative influence at-41.38 %. (2) Social factors hold the highest weight in the evaluation system at 32.77 %. (3) Under scenario simulations, both baseline scenario and green and low-carbon scenario can meet the carbon targets: the baseline scenario peaks at 303.19 million tons by 2030, while the green and low-carbon scenario peaks at 279.25 million tons by 2025. This study provides a scientific basis and decision-making support for provincial emission reduction strategies and carbon management, aiding the government in formulating targeted policies for the construction industry's low-carbon transition.
Keyword ：
Carbon emission Carbon emission Construction industry Construction industry "Dual carbon" goal "Dual carbon" goal Emission reduction potential Emission reduction potential Optimal pathway Optimal pathway Provincial level Provincial level
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| GB/T 7714 | Li, Xiaojuan , Wu, Jiajia , Lin, Chengxin . Decarbonizing provincial construction industry under the "dual carbon" goals: Assessing reduction capacities and charting optimal pathways [J]. | BUILDING AND ENVIRONMENT , 2025 , 272 . |
| MLA | Li, Xiaojuan et al. "Decarbonizing provincial construction industry under the "dual carbon" goals: Assessing reduction capacities and charting optimal pathways" . | BUILDING AND ENVIRONMENT 272 (2025) . |
| APA | Li, Xiaojuan , Wu, Jiajia , Lin, Chengxin . Decarbonizing provincial construction industry under the "dual carbon" goals: Assessing reduction capacities and charting optimal pathways . | BUILDING AND ENVIRONMENT , 2025 , 272 . |
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PurposeAs urbanization accelerates, the vital role of underground spaces in urban development has attracted increasing attention. At the same time, the associated hazards have become more pronounced, characterized by complex, interrelated, and mutually reinforcing risk factors. Therefore, assessing and analyzing the coupling mechanisms of these risks is essential for enhancing the safety and sustainability of urban underground environments.Design/methodology/approachThis study initiates by delineating twelve risk factors, categorizing accidents recorded in China's urban underground spaces between 2012 and 2022 into four domains: people, equipment, environment, and management. Through the application of Interpretive Structural Modeling (ISM), a hierarchical arrangement of these factors is qualitatively established, delving into the dynamics of their interconnectedness.FindingsIt is noteworthy that, in a specific case, the risk level of the empirical project was quantified through the cloud model based on Analytic Hierarchy Process (AHP) weighting and risk level assessment, and it was further obtained that the coupling degree between risk factors was above 0.9, indicating that the coupling level of risks was high.Originality/valueThe uniqueness of this paper lies in the introduction of a coupling perspective to consider the risk assessment problem within the scope of underground space. Through coupling analysis, the inherent mechanism of the transformation of single risk into compound risk is clarified, and the paradigm shift of risk management from fragmented response to systematic governance is promoted.
Keyword ：
Coupling degree modeling Coupling degree modeling Hierarchical analysis Hierarchical analysis Interpretative structural modeling Interpretative structural modeling Risk coupling mechanism Risk coupling mechanism Urban underground space Urban underground space
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| GB/T 7714 | Chen, Rixin , Huang, Weiwei , Li, Xiaojuan . Comprehensive risk assessment of urban underground space in China: an in-depth analysis of risk levels [J]. | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT , 2025 . |
| MLA | Chen, Rixin et al. "Comprehensive risk assessment of urban underground space in China: an in-depth analysis of risk levels" . | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT (2025) . |
| APA | Chen, Rixin , Huang, Weiwei , Li, Xiaojuan . Comprehensive risk assessment of urban underground space in China: an in-depth analysis of risk levels . | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT , 2025 . |
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Rapid urbanization presents both challenges and opportunities for low-carbon development in the construction industry. Based on panel data from 2010 to 2022, this study applies the IPCC emission coefficient method to measure ECCC's (East China coastal cities) construction industry emissions and employs the gravity model to construct a spatial correlation network. Integrating social network analysis (SNA) with temporal exponential random graph models (TERGM), it reveals the structural features and dynamic evolution of the carbon emission network. The internal structure is further explored using the block model and Rand-ESU algorithm. Results show that: (1) The spatial correlation of carbon emissions in ECCC's construction industry is strengthening, with increasing network density, a more complex and stable structure, and a centrality pattern of "high in the middle and low on both sides." (2) Regional emission plates have emerged: cities in Shandong and northern Jiangsu act as net spillovers, economically advanced and rapidly developing serve as net beneficiaries, while inter-provincial border areas as brokers, exhibiting a "club clustering" effect. (3) Network evolution follows a transition from chain to closed structures, though the low frequency of closed structures indicates untapped collaboration potential. This study provides a theoretical foundation for network governance of carbon emissions in the construction industry, contributing to the achievement of carbon neutrality and offering practical insights for regional coordinated emission reduction.
Keyword ：
Carbon emissions Carbon emissions Construction industry Construction industry Dynamic evolution Dynamic evolution East China coastal cities East China coastal cities Network structure Network structure Spatial correlation Spatial correlation
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| GB/T 7714 | Li, Xiaojuan , Qiu, Yingtong , Lin, Chengxin . Spatial network structure characteristics and dynamic evolution mechanisms of carbon emissions in the construction industry: An empirical study of East China coastal cities [J]. | SUSTAINABLE CITIES AND SOCIETY , 2025 , 130 . |
| MLA | Li, Xiaojuan et al. "Spatial network structure characteristics and dynamic evolution mechanisms of carbon emissions in the construction industry: An empirical study of East China coastal cities" . | SUSTAINABLE CITIES AND SOCIETY 130 (2025) . |
| APA | Li, Xiaojuan , Qiu, Yingtong , Lin, Chengxin . Spatial network structure characteristics and dynamic evolution mechanisms of carbon emissions in the construction industry: An empirical study of East China coastal cities . | SUSTAINABLE CITIES AND SOCIETY , 2025 , 130 . |
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Many countries have earnestly installed prefabricated buildings for environmental protection, energy conservation, material saving, and improved construction time and quality management. Despite multiple benefits, many development constraints have remained unexplored. This paper employed a comprehensive literature review and a questionnaire survey of experienced professionals to identify five factors and 13 constituent indicators that can foster prefabrication promotion and development. Their relationships and influences were analyzed by structural equation modeling. The factors of cost, technology, policy, management, and components were assessed by system dynamics simulation to examine their relative contributions. A residential-building case study tested the assessment method and verified the empirical findings. The results indicate that technology is the most critical constraint, accounting for 23.4% of the impact, followed by policy (21.7%), cost (19.2%), management (18.2%), and components (17.5%). Among the secondary indicators, advanced manufacturing and connectivity technologies emerged as the most significant constraint. The findings underscore the importance of innovation and the adoption of new prefabrication technologies. Policymakers are encouraged to prioritize investments in advanced manufacturing of prefabricated components to expedite adoption. The results provide recommendations for developing coordinated strategies to advance the sustainable development of prefabricated buildings.
Keyword ：
Development constraint Development constraint Mitigation strategy Mitigation strategy Policy formulation Policy formulation Prefabricated building Prefabricated building Structural equation model Structural equation model System dynamics simulation System dynamics simulation
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| GB/T 7714 | Li, Xiaojuan , Lin, Mingchao , Mao, Wenting et al. Key constraints and mitigation strategies for prefabricated Building development in China [J]. | ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY , 2025 . |
| MLA | Li, Xiaojuan et al. "Key constraints and mitigation strategies for prefabricated Building development in China" . | ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY (2025) . |
| APA | Li, Xiaojuan , Lin, Mingchao , Mao, Wenting , Jiang, Ming , Deng, Junxi , Jim, Chi Yung . Key constraints and mitigation strategies for prefabricated Building development in China . | ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY , 2025 . |
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The construction industry is a key stakeholder in mitigating climate change both in China and globally. Understanding the link between spatial network carbon emissions in the construction industry (CECI) and synergy levels in urban agglomerations is crucial for regional emission reduction efforts. This study investigates the Guangdong-Fujian-Zhejiang Coastal Urban Agglomeration (GFZ-CUA) in southeast China, using panel data from 2012 to 2021 to assess CECI. Social network analysis is applied to examine the spatial structure of CECI, supplemented by an analysis of carbon emission coordination discrepancies to empirically reveal both quantitative and relational effects of spatial correlations. Results indicate that the GFZ-CUA exhibits a spatial pattern of "high emissions in the north, low in the south, high along the coast, and low inland," forming a "core-periphery" structure. Despite broad spatial coverage, relationships among cities frequently shift, revealing fragmented emission reduction efforts between core coastal and peripheral inland cities. Significant disparities are evident in provincial coordination levels. While increasing network density strengthens collaborative emission reduction, the influence of hierarchical structures remains minimal. This study presents a new methodological blueprint for collaborative carbon reduction in urban agglomerations and offers practical policy recommendations and strategies for the low-carbon development of the construction industry.
Keyword ：
Carbon emissions Carbon emissions Construction Construction Spatial correlation Spatial correlation Synergy Synergy Urban agglomeration Urban agglomeration
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| GB/T 7714 | Li, Xiaojuan , Duan, Gaona , Lin, Chengxin et al. Synergetic carbon emission reduction in the construction industry: A spatial correlation perspective from urban agglomerations in southeast coastal China [J]. | ENERGY AND BUILDINGS , 2025 , 336 . |
| MLA | Li, Xiaojuan et al. "Synergetic carbon emission reduction in the construction industry: A spatial correlation perspective from urban agglomerations in southeast coastal China" . | ENERGY AND BUILDINGS 336 (2025) . |
| APA | Li, Xiaojuan , Duan, Gaona , Lin, Chengxin , Lin, Yun , Chen, Jieyi , Fang, Congying et al. Synergetic carbon emission reduction in the construction industry: A spatial correlation perspective from urban agglomerations in southeast coastal China . | ENERGY AND BUILDINGS , 2025 , 336 . |
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Prefabricated building (PB) can effectively promote the low-carbon transformation of the construction industry. It is crucial to account for and analyze carbon emission sources and patterns during PB project materialization and develop an effective assessment and tracking platform. This study leverages Dynamo parametric modeling and coding to develop a scalable BIM system integrating carbon emission data with traceability. Combined with IoT technology, the platform is designed for accurate assessment and real-time tracking of carbon emissions during PB project materialization. Its effectiveness is evaluated, and optimization approaches are proposed. Evaluation results show that the platform improves real-time carbon emission tracking accuracy by approximately 30 % compared to traditional systems, achieving overall carbon reductions of 30-50 % during materialization, with potential reductions up to 60 %. The findings support the low-carbon transformation of the construction industry, offering a new framework and practical approach for carbon control, thus fostering the development of sustainable policies and practices.
Keyword ：
Abbreviations Abbreviations BIM BIM Carbon emission assessment Carbon emission assessment Carbon emission tracking Carbon emission tracking IoT IoT Prefabricated building Prefabricated building Project materialization Project materialization
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| GB/T 7714 | Li, Xiaojuan , Jiang, Ming , Lin, Chengxin et al. Integrated BIM-IoT platform for carbon emission assessment and tracking in prefabricated building materialization [J]. | RESOURCES CONSERVATION AND RECYCLING , 2025 , 215 . |
| MLA | Li, Xiaojuan et al. "Integrated BIM-IoT platform for carbon emission assessment and tracking in prefabricated building materialization" . | RESOURCES CONSERVATION AND RECYCLING 215 (2025) . |
| APA | Li, Xiaojuan , Jiang, Ming , Lin, Chengxin , Chen, Rixin , Weng, Meng , Jim, C. Y. . Integrated BIM-IoT platform for carbon emission assessment and tracking in prefabricated building materialization . | RESOURCES CONSERVATION AND RECYCLING , 2025 , 215 . |
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PurposeEnsuring operational safety in complex underground public spaces (CUPS) requires an effective supervision system. This study constructs a tripartite evolutionary game model to analyze the strategic interactions among the government, supervisors and operators in safety supervision. By identifying equilibrium points within the system, the study examines how different supervision policies, incentives and supervisory mechanisms impact safety compliance and system stability. The findings provide targeted recommendations for optimizing safety supervision frameworks.Design/methodology/approachUtilizing evolutionary game theory, this study analyzes the strategic behaviors of the government, supervisor and operator within the context of operational safety supervision in CUPS. MATLAB simulations examine equilibrium states and assess the impact of different supervision scenarios.FindingsThe results show that with initial low government supervision and limited operator compliance, the operator's safety supervision gradually diminishes until nearly zero. However, increasing government supervisory efforts encourage the operator to improve safety supervision, progressively attaining comprehensive safety supervision. Furthermore, government incentive policies and operator technological innovations positively influence safety supervision, particularly during the initial stages of safety system development. Lastly, pivotal factors such as government subsidies and operator costs significantly affect game behavior in scenarios characterized by neutral supplier and owner attitudes and government supervisory inclinations.Practical implicationsThe findings enhance China's supervisory system for CUPS safety supervision, bolstering related supervisory frameworks to optimize CUPS's continued and sustainable development.Originality/valueThis research comprehensively applies evolutionary game theory to analyze the strategic interactions among government, supervisors and operators in the context of operational safety supervision in complex underground public spaces (CUPS). Additionally, the study incorporates dynamic payment conditions and government incentive policies to simulate real-world scenarios, offering a detailed examination of the factors influencing the effectiveness of safety supervision systems.
Keyword ：
Complex underground public space Complex underground public space Evolutionary game analysis Evolutionary game analysis Government subsidy Government subsidy Operational safety supervision Operational safety supervision Safety supervision technology Safety supervision technology Supervisory framework Supervisory framework
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| GB/T 7714 | Li, Xiaojuan , Ren, Yifei , Hong, Junlin et al. Evolutionary game analysis of operational safety supervision in complex underground public spaces [J]. | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT , 2025 . |
| MLA | Li, Xiaojuan et al. "Evolutionary game analysis of operational safety supervision in complex underground public spaces" . | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT (2025) . |
| APA | Li, Xiaojuan , Ren, Yifei , Hong, Junlin , Jiang, Ruifang , Jim, C. Y. . Evolutionary game analysis of operational safety supervision in complex underground public spaces . | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT , 2025 . |
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PurposePrefabricated buildings (PB) are increasingly promoted for short construction cycles, environmental benefits and low-carbon characteristics. However, the growing complexity of PB supply chains, including fragmented coordination, information gaps and high interdependency among stakeholders, has introduced significant risks that conventional risk assessment approaches do not adequately address. This study aims to develop a dedicated risk evaluation framework that reflects the distinctive features of PB supply chains and supports more effective management and decision-making.Design/methodology/approachA comprehensive risk indicator system was developed, consisting of 7 primary and 21 secondary indicators covering internal and external risks across the full lifecycle of PB projects. The G1 method and entropy weight method were combined to determine indicator weights by integrating expert judgment with data-driven variability. Matter-element analysis and cloud modeling were applied to evaluate and visualize risk levels. A real-world PB project in Fuzhou, China, was used as a case study to validate the model.FindingsThe results indicated that PB supply chain risks were primarily internal. Component design was identified as the most critical factor influencing overall risk. Among the secondary indicators, design deficiencies had the highest impact. The overall risk level of the case project was classified as low. Sensitivity analysis confirmed the significant influence of design-related factors on supply chain stability, demonstrating the validity and applicability of the proposed framework.Originality/valueThis study introduces an integrated and adaptable risk assessment model tailored to PB supply chains. It improves understanding of risk structures in prefabricated construction and provides a practical tool for early identification and proactive mitigation of risks. The findings also support sustainability goals by enabling more efficient resource allocation and reducing the need for rework and waste generation throughout the supply chain.
Keyword ：
Cloud model Cloud model Entropy weight method Entropy weight method Matter-element analysis Matter-element analysis Prefabricated buildings Prefabricated buildings Risk indicator system Risk indicator system Risk management Risk management Supply chain Supply chain
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| GB/T 7714 | Li, Xiaojuan , Lin, Mingchao , Chen, Jieyi et al. A lifecycle-based risk assessment framework for prefabricated building supply chains using G1-entropy weight and cloud matter-element models [J]. | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT , 2025 . |
| MLA | Li, Xiaojuan et al. "A lifecycle-based risk assessment framework for prefabricated building supply chains using G1-entropy weight and cloud matter-element models" . | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT (2025) . |
| APA | Li, Xiaojuan , Lin, Mingchao , Chen, Jieyi , Jim, C. Y. . A lifecycle-based risk assessment framework for prefabricated building supply chains using G1-entropy weight and cloud matter-element models . | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT , 2025 . |
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PurposeComplex underground public spaces (CUPS) enhance urban functions but face high disaster risks. Integrating resilience theory into their planning and use can help mitigate these risks and improve safety in dense urban environments.Design/methodology/approachThis study focused on developing a resilience evaluation indicator system (REIS) to enhance CUPS safety resilience. A comprehensive-objective REIS was established based on the pressure-state-response (PSR) model. The entropy weighting method assigned weights to the indicators based on a fuzzy integrated evaluation model. A Back Propagation (BP) neural network validated the accuracy and reliability of the REIS. Its effectiveness was verified by application to a real-world project.FindingsThe REIS rated the real-world case project as "good," scoring 84.77. This result reflects a high level of safety resilience. The results were consistent with the BP neural network output, with a maximum error of just 0.97% and a minimum error of 0.13%.Originality/valueThis study fills a key gap in CUPS resilience research by shifting from fragmented, static assessments to a more systematic and validated approach. Fragmented approaches often fail to detect latent risks, delay emergency responses and lead to poor coordination in underground environments. These limitations can threaten user safety and disrupt system operations. The proposed REIS addresses these issues by integrating dynamic, multidimensional indicators into a unified framework. The findings provide a reference for future resilience efforts in other complex infrastructure systems.
Keyword ：
Back Propagation (BP) neural network Back Propagation (BP) neural network Complex underground public spaces (CUPS) Complex underground public spaces (CUPS) Fuzzy integrated evaluation model Fuzzy integrated evaluation model Pressure-state-response (PSR) model Pressure-state-response (PSR) model Resilience evaluation indicator system (REIS) Resilience evaluation indicator system (REIS)
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| GB/T 7714 | Li, Xiaojuan , Zheng, Shengkeng , Lin, Yun et al. Developing a resilience evaluation indicator system to enhance safety management in complex underground public spaces [J]. | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT , 2025 . |
| MLA | Li, Xiaojuan et al. "Developing a resilience evaluation indicator system to enhance safety management in complex underground public spaces" . | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT (2025) . |
| APA | Li, Xiaojuan , Zheng, Shengkeng , Lin, Yun , Jim, C. Y. . Developing a resilience evaluation indicator system to enhance safety management in complex underground public spaces . | ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT , 2025 . |
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