Journal of Sustainable Built Environment
Journal of Sustainable Built Environment (JSBE) is an open-access, peer-reviewed journal dedicated to publishing research on sustainability in urban and regional development. Covering topics such as climate adaptation, sustainable infrastructure, urban economics, and green building. JSBE serves as an interdisciplinary platform for academics, policy makers, and professionals focused on creating resilient and sustainable environments.
ESG factors and regional economic growth: why green development policies are a key driver of long-run resilience, theory, evidence, and methodological frontiers
This review synthesizes international evidence on the relationship between environmental, social, and governance (ESG) factors and regional economic growth, with a specific focus on why green development policies, including ecological governance and green finance, can operate as structural drivers of long-run economic resilience. The literature has moved beyond a simple “ESG–performance” correlation toward a multi-channel view in which ESG improvements shape growth paths through productivity dynamics, innovation incentives, capital allocation, risk premia, and adaptive capacity to climate and transition shocks. At the macro and regional scales, recent work finds that ESG performance is more strongly associated with long-run income levels and medium-horizon economic activity than with short-run growth rates, consistent with the time-to-build nature of institutional upgrading and the diffusion of green technologies. At the same time, causal identification remains challenging due to ESG measurement divergence, endogenous policy adoption, and spatial spillovers, motivating a methodological shift toward cointegration, dynamic panels, spatial econometrics, and quasi-experimental designs using policy discontinuities, regulatory shocks, and instrumental variables. This review consolidates key theoretical frameworks (Porter hypothesis, directed technical change, sustainable finance equilibrium, regional resilience) and evaluates empirical advances on green finance instruments (green bonds, green credit) and environmental policy stringency. The synthesis supports a central conclusion: green development policies can enhance long-run resilience by jointly improving the efficiency frontier (innovation offsets), reducing exposure to climate and transition risks, and stabilizing investment expectations, thereby shaping the feasible set of regional development trajectories.
Copyright (c) 2026 Riku Kobayashi, Mio Tanaka (Author) https://creativecommons.org/licenses/by/4.0
Applying Hood's NATO framework to quantitative text analysis in policy studies: Theory, methods, and empirical applications
Hood’s “tools of government” framework conceptualizes governing as the deployment of four fundamental resource types: nodality (information and network position), authority (legal power), treasure (financial resources), and organization (direct provision and administrative capacity). Originating as a parsimonious typology for describing how governments act, the NATO framework has become influential in policy design and policy instrument research because it offers a stable “instrument language” that is portable across sectors and political systems. Meanwhile, the “text-as-data” turn in political science and public policy has enabled researchers to analyze policy documents at scale, shifting instrument research from small-N interpretive coding toward replicable measurement of instrument presence, design features, and policy mixes. This review synthesizes how NATO has been operationalized for quantitative text analysis and situates those practices within wider advances in policy instrumentation theory and computational methods. Building on systematic review principles, it organizes contributions along three linked research programs: (1) conceptual refinement of NATO and related policy tool taxonomies in policy design and policy mixes; (2) methodological foundations of automated content analysis, including dictionary methods, supervised learning, topic models, scaling models, and span-level annotation; and (3) empirical applications that code policy instruments from legal and policy texts, including emerging annotated corpora that enable model training and benchmarking. Across these streams, recurring methodological challenges include construct validity (“instrument” as intent versus effect), unit-of-analysis selection (document, section, sentence, clause, span), multi-label coding (co-occurring instruments), calibration and intensity measurement, cross-jurisdiction comparability, and reliability of human labels. The review concludes with a research agenda for NATO-based text measurement, emphasizing transparent codebooks, hierarchical and multi-task models, evaluation against human annotation with appropriate agreement metrics, and integration of instrument coding with causal and design-oriented policy evaluation.
Copyright (c) 2026 Daiki Yamamoto, Ayaka Fujita (Author) https://creativecommons.org/licenses/by/4.0
The Relationship Between ESG Disclosure and Corporate Value Creation
With the advancing global sustainable development, environmental, social, and governance (ESG) disclosure has become a key channel for companies to communicate with stakeholders. This study takes Chinese A-share listed companies from 2018 to 2025 as samples to explore the correlation between ESG disclosure quality and corporate value creation, as well as its internal mechanism. The results show a significant positive correlation between ESG disclosure quality and corporate value creation, which is more prominent in highly polluting industries and private enterprises. The research indicates that ESG disclosure promotes corporate value creation through two paths: enhancing corporate innovation capabilities and alleviating financing constraints. The conclusions provide theoretical and practical references for enterprises to improve ESG management and for regulators to optimize ESG disclosure systems.
Copyright (c) 2026 Depeng Pan (Author) https://creativecommons.org/licenses/by/4.0
Study on the Cultural and Tourism Enhancement Effect of Urban Rail Transit Coupled with the Wilson Model Based on GIS: A Case Study of Wuhan
As a well-known tourist destination in China, Wuhan's tourism industry has faced sustainable development challenges in recent years. Regional development imbalance, insufficient transportation accessibility, and limited tourism capacity have become the core constraints to its high-quality sustainable development. This paper focuses on the synergistic enhancement effect of Wuhan's rail transit and urban cultural tourism. Based on GIS geographic information data support, the Wilson model is constructed to systematically calculate the tourist transportation network attraction and analyze spatial autocorrelation, combined with empirical research to explore the path for overcoming bottlenecks. The survey results show: 1) The subway helps to promote urban tourism transportation; 2) The subway serves residents' daily life more than it develops tourism; 3) The subway's role in promoting urban tourism is greater than its role in scenic area tourism. Based on the above results, the findings of this study provide theoretical support and practical paradigms for government departments in formulating sustainable development strategies for metro tourism transportation planning, construction, and operational management decisions and practices.
cultural and tourism synergy development
Copyright (c) 2026 Ruiping Zhu, Haojie Chen, Ran Peng (Author) https://creativecommons.org/licenses/by/4.0
Research on Optimization of Prevention and Control Measures for High Slopes along Mountainous Highway
Highways, as critical transportation infrastructure, not only ensure the daily production and livelihood of residents but also serve as key support for promoting regional economic development and implementing the rural revitalization strategy. However, during the construction and operation of some mountainous highways, insufficient attention to slope stability issues and the lack of systematic protective design and treatment have led to frequent geological hazards such as slope instability and landslides. These incidents severely compromise road safety and endanger the lives and property of nearby resi-dents. To systematically investigate scientific prevention and control solutions for high slopes along mountainous highways, this paper selects a typical high slope on a mountainous highway as the research subject. Based on its geo-logical conditions and deformation characteristics, three feasible treatment measures are proposed: micro-pile reinforcement, double-row pile support, and steel flower pipe grouting technology. By introducing the fuzzy comprehensive evaluation method, a multi-dimensional analysis is conducted, considering factors such as engineering investment, construction duration, environmental impact, and technological maturity. The results indicate that the micro-pile reinforcement scheme offers the best overall performance. Furthermore, numerical simulation of this optimal scheme using the finite element software Midas GTS NX verifies that its deformation control effective-ness and safety factors under both natural and rainstorm conditions meet standard requirements, demonstrating notable treatment effectiveness. This study provides a reliable technical approach and practical reference for similar slope engineering projects.
Copyright (c) 2025 Yinhe Hu, Yajun Wang, Baoping Wang, Zhiran Zhong, Ao Cheng (Author) https://creativecommons.org/licenses/by/4.0
A Spatial Equilibrium Evaluation Method of Water Resource Allocation: Case Study of the South-to-North Water Diversion Project in China
Research on the spatial equilibrium of water resource allocation in China can inform the scientific planning of future water diversion projects, supporting water security and the sustainable development of socio-economic systems. Yet studies on spatial equilibrium remain limited. We developed an evaluation method for spatial equilibrium in water resource allocation and conducted regional validation using the South-to-North Water Diversion (SNWD) project. Based on general and spatial equilibrium theory, spatial equilibrium is defined as the equalisation of marginal benefits of water use when interregional water transfer costs are considered. Regions with higher marginal benefits are mainly located east of the “Hu Huanyong Line”, particularly Shandong, Henan, and Shaanxi. When project information is available, unit water diver-sion costs can be expressed as a function of delivery distance. Estimated unit costs range from 0.51–3.76 RMB/m³ along the East Route, 0.39–1.49 RMB/ m³ along the Mid Route, and 1.80–4.45 RMB/m³ along the West Route. Link-ing Xuzhou (East Route), Zhengzhou (Mid Route), and Aba Prefecture (West Route) yields a projected spatial equilibrium boundary for eastern China. Further research on marginal benefits, water use costs, and dynamic updates is still needed.
South-to-North Water Diversion Project (SNWD)
Copyright (c) 2025 Yuan Liang, Shaofeng Jia, Zikun Song, Lihua Lan (Author) https://creativecommons.org/licenses/by/4.0
The Built Environment and Economic Context: Impacts on Enterprise Operations, Mechanisms, and Adaptive Strategies
The built environment—encompassing infrastructure quality, spatial layout, and regional development planning—serves as a foundational external con-text that interacts with economic factors to shape enterprises’ strategic deci-sions and operational performance. This paper examines the combined influ-ence of the built environment and economic environment on enterprises from four integrated dimensions: macroeconomic cycles (aligned with regional built environment development stages), industrial policy orientation (linked to built environment planning), market competition structure (shaped by spatial ag-glomeration in the built environment), and factor cost fluctuations (affected by infrastructure accessibility in the built environment). Through simplified empir-ical analysis (typical cases + core indicator verification), it reveals how the built environment mediates the impacts of economic factors on enterprises’ revenue, costs, and risk management. Specifically, high-quality built environ-ment infrastructure enhances the efficiency of policy implementation and re-duces factor costs, while rational spatial layout optimizes market competition patterns. Finally, the paper proposes lightweight adaptation strategies for different types of enterprises to synergize with both built and economic environment changes. The study finds that the built environment moderates the elasticity of enterprise revenue to macroeconomic cycles; industrial policies and factor costs exert amplified or weakened effects depending on built environment conditions; and the built environment’s spatial agglomeration characteristics further define the boundaries of enterprise profit margins.
Copyright (c) 2025 Yuhao Gu, Khargtonova V.A. (Author) https://creativecommons.org/licenses/by/4.0
Research on Optimization of Industrial Building Facades Integrating With Photovoltaic Power
Industrial buildings are important production carriers in urban space, but they also have problems such as high production energy consumption, serious environmental pollution, and poor built interface, which have attracted much attention. Building environment optimization and energy structure adjustment have become the focus of industrial building research. In the context of the national carbon neutral policy, this paper studies the impact of industrial buildings on the urban environment, combines photovoltaic power generation technology, explores the integrated design strategy of CdTe generation glass and industrial building facades, and uses the southwest cement plant project in Lijiang, Yunnan as an example, a practical study was carried out, aiming to use industrial building facade resources to improve the aesthetics and functionality of the building facade at the urban interface of the park. Research shows that the strong plasticity of CdTe photovoltaic glass can not only provide necessary power energy for industrial buildings and optimize the building's energy structure, but its color and material ductility can also improve the aesthetics of industrial building facades. This article provides certain reference and reference significance for subsequent related research.
Copyright (c) 2024 Hailong Chai, Jingya Zeng (Author) https://creativecommons.org/licenses/by/4.0
Sustainable Development in the Renovation of Historical Buildings
This study examines the energy-efficient transformation of Panoffs’ Mansion in Wuhan, integrating sustainability into urban renewal while preserving historical integrity. Through a qualitative methodology, the research employs field observations, literature reviews, and case studies. It explores how adaptive reuse of heritage structures can meet contemporary energy standards and urban demands, balancing preservation with modernization. This approach illuminates the potential of sustainable practices in revitalizing historical buildings, promoting a model for low-carbon urban development.
Copyright (c) 2024 Xinyu Li (Author) https://creativecommons.org/licenses/by/4.0
How to Produce Cultural Space for Sustainable Development Towards Rural Revitalization
Cultural revitalization is a key factor in the sustainable development of the countryside and is included in the five-dimensional indicators of China's rural revitalization strategy. Although established studies have examined the spatial dimension of rural cultural revitalization, the internal structure of spatial production and the logic of action are still not entirely clear. Based on an interview survey in villages in northern Henan, China, this paper conducts a qualitative study of the structured characteristics of rural cultural spatial production and the actor logic behind it using a grounded theory research method. The results show that the production of local cultural space, socio-cultural space, mass recreational space, and cultural industries space constitute a composite structured rural cultural space. Public power, intellectual elites, residents' rights and industrial capital have demonstrated a “co-constructive” cooperative relationship This paper provides a theoretical and empirical basis for promoting rural cultural revitalization and sustainable development through the production of rural cultural space.
Copyright (c) 2024 Haiyu Wang, Changcan Li, Kunpeng Ai (Author) https://creativecommons.org/licenses/by/4.0
Shrinkage and Expansion Mechanisms of Resource-based Cities
The urban shrinkage phenomenon is increasingly common. However, at the same time, it is accompanied by local growth within the region, and its complex impact mechanism still lacks in-depth research. This paper takes Daqing, a resource-based city, as an example and constructs a multi-dimensional urban growth/shrinkage type definition matrix. The random forest classification model is used to quantitatively analyze the relevant factors affecting the classification matrix by comparing different models. The results show that: (1) The growth/shrinkage of Daqing City leads to a concentric structure of intensive growth—expansion growth—expansion shrinkage—intensive shrinkage that gradually changes from the center to the periphery in space. (2) The random forest classification model can better explain the cause mechanism of urban growth/shrinkage. (3) The growth/shrinkage of resource-based cities in the transformation stage is mainly affected by economic factors, such as traffic accessibility and urban morphology related to the resource economy. This study provides an evaluation framework from qualitative to quantitative, providing useful references for research and planning policy formulation in related fields.
Copyright (c) 2024 Xianjian Yi, Lei Wang, Xinyue Gu (Author) https://creativecommons.org/licenses/by/4.0
To effectively improve the accuracy of short-term traffic flow prediction, an improved Long Short-Term Memory (LSTM) method is proposed using the Mind Evolution Algorithm (MEA). Firstly, to address the issues of abnormal and missing traffic flow data, a Neighborhood Stacked Denoising AutoEncoder (NSDAE) is used for data repair. Then, the maximum Lyapunov exponent is used to determine the chaotic characteristics. Meanwhile, based on Bayesian estimation theory, the features of three-parameter sequences are fused in high-dimensional space using phase space reconstruction technique to obtain reconstructed multi-parameter fused traffic flow data. Finally, by taking advantage of the fact that MEA can divide the data into several subpopulations for optimal search separately, a prediction model based on MEA to improve LSTM is proposed. The results show that compared to the other two traditional data restoration methods, the NSDAE has higher accuracy, with the lowest average values of RMSE, MAE, and MAPE. Through the phase space reconstruction technique, the feature fusion of three parameters of traffic flow is realized in high-dimensional space, which makes up for the insufficiency of a single time-series data that cannot comprehensively levy the characteristics of traffic flow. The MEA-LSTM model outperforms the LSTM model in terms of prediction accuracy, computational efficiency, and generalization ability, and its RMSE, MEA, and MAPE are reduced by 24.3%, 28.9%, and 30.1%, respectively.
Copyright (c) 2024 Zixuan Zhang, Dongliang Zhao, Yan Li, Zhe Huang (Author) https://creativecommons.org/licenses/by/4.0
The Industrial Production and Application of Historical Building Component Heritage from the Perspective of Digital Technology Module Chain
The protection of historical architectural heritage is the key research object of the ancient architecture industry, and the research on the partial construction of buildings is gradually deepening. Nowadays, the use of digital means to research and protect architectural heritage has become an important way for many scholars. However, there are many types of digital software on the market with complex functions, and common digital means include X-spectrum, Jingdiao JDP, point cloud data, 3D printing, etc. Based on the simple construction of dougong, this paper analyzes the method of digital technology module chain, and applies it to the field of architectural construction such as murals and sculptures. This digital technology module chain can not only study and analyze the construction of historical buildings, but also meet the needs of cultural relics preservation, industrial production, education and communication. Finally, it is expected that through the promotion of this digital technology module chain, the protection of historical architectural heritage and cultural communication will be promoted in a more optimized direction.
Copyright (c) 2024 Xing Hang, Siwei Zhang, Jiyu Dang (Author) https://creativecommons.org/licenses/by/4.0
Enhancing Urban Riverside Greenways through Post-Occupancy Evaluation
In today's commitment to achieving the goal of double carbon and advocating low-carbon life, the riverside greenway, as an important ecological public space in the urban center, plays an important role in improving the quality of life of residents, optimizing the urban transportation structure, restoring the water environment ecology, and further building a low-carbon city. Based on the post-occupancy evaluation of the built environment, this paper takes the Wuchang Greenway, Qingshan Greenway and Hongshan Greenway on the Yangtze River in Wuhan as the research objects, comprehensively evaluates the built environment of the three greenways from the aspects of user behavior characteristics and post-use satisfaction, compares and analyzes the advantages and shortcomings of the three greenways according to the evaluation results, and proposes some optimization strategies for the design of urban riverside greenways.
Copyright (c) 2024 Keyu Yap, Feng Zhou, Ran Peng, Tong Li, Jie Ma (Author) https://creativecommons.org/licenses/by/4.0
A Framework for Promoting IoT- and Digital Twin-Enabled Intelligent Traffic Light Systems in China
This study explores the potential for the implementation of an advanced Intelligent Traffic Light System (ITLS) in Chinese urban landscapes, integrating Internet of Things (IoT) and digital twin technologies for sustainable urban development. Using empirical data from the Malaysia Smart Traffic Light Management (MSTLM) program, we assessed the effectiveness of the system on multiple dimensions critical to sustainability. Statistical analysis of eight cities showed significant improvements in vehicle safety programs: average travel time was reduced by 37.7%, congestion index by 38.5%, fuel consumption by 27.3%, and CO2 emissions by 18.4%. In addition, system reliability was significantly improved with 98.3% uptime and 280.5% increase in signal conditioning frequency. The study presents a comprehensive framework tailored to China's urban environment, emphasizing technical architectures, deployment strategies, and policy recommendations aligned with the SDGs. Our findings contribute to the debate on smart city infrastructure management, providing actionable insights for policymakers, urban planners, and stakeholders committed to resilient and sustainable urban growth providing an adaptable roadmap for large-scale deployment in rapidly urbanizing Chinese cities. Our findings bridge Malaysian empirical insights to China’s distinct infrastructure and governance structures.
Copyright (c) 2025 Qi Wu, Bowen Lu, Junda Pan (Author) https://creativecommons.org/licenses/by/4.0
Ecological Spatial Restoration in Gannan Prefecture Basedon the Coupling of Ecological Security Pattern and EcologicalProblems
Ecological fragmentation, resource depletion, soil erosion and other problems have a significant impact on the ecosystem. Ecological restoration helps to maintain and enhance the service function of the ecosystem. How to fully implement territorial space restoration and maintain regional sustainable development is a key issue in the identification and construction of ecological space restoration. Taking Gannan Tibetan Autonomous Prefecture as the research object, this paper discusses the ecological spatial restoration strategy under the coupling of ecological security pattern and ecological problems. Firstly, ecological remote sensing index and morphological spatial pattern analysis were used to identify ecological sources, ecological resistance surfaces and ecological corridors, and then the ecological security pattern was constructed. At the same time, based on the concept of "mountain, water, forest, farmland, lake, grass and sand", ecological problem areas are identified by constructing ecological problem index (EPI). Then the spatial superposition coupling and regional coordination coupling are carried out between the ecological security pattern and the ecological problem region. Finally, the paper puts forward a multi-directional restoration strategy of "point-line-plane", including ecological source protection, ecological corridor construction and ecological problem area restoration, in order to promote the ecological sustainable development of Gannan Prefecture.
Copyright (c) 2025 Xuelian Yang (Author) https://creativecommons.org/licenses/by/4.0
Assessment and Countermeasures of the Impact of Travel Patterns on Obesity Problems of Urban Residents
The current diversification of residents' travel patterns suggests a potential correlation between residents' obesity issues and travel modes. In this study, we selected 93 streets in the central urban area of Wuhan and considered residents' walking, cycling, public transportation travel, and car travel as research variables. The body mass index (BMI) was utilized as an indicator of residents' obesity and overweight levels. Both Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) models were employed to statistically examine the impact of these four travel modes on residents' obesity and overweight issues. Based on the above analysis, the following conclusions were drawn: (1) In the four typical transportation travel modes of walking, cycling, public transportation travel and car travel of the residents of each street in the city, the distance of walking, cycling and public transportation travel is negatively correlated with the obesity and overweight problems of the residents, in which the distance of public transportation travel is the least obvious than walking and cycling, while the distance of car travel is positively correlated with the obesity and overweight problems of the residents. (2) The density of public transportation stations was positively correlated with residents' obesity and overweight levels. Moreover, the density of public transportation stations also influenced the relationship between travel modes and residents' obesity and overweight issues. In areas with higher coverage of public transportation stations, there was a stronger correlation between public transportation and car travel distances and residents' obesity and overweight problems. In areas with lower coverage of public transportation stations, the correlation between walking, cycling distances and residents' obesity and overweight issues was more significant. (3) There were significant differences in the distribution of obesity levels among residents in different regions of Wuhan. It is important to note that further research and analysis are necessary to validate the findings and better understand the complex relationship between travel modes and residents' obesity and overweight issues in urban areas.
Copyright (c) 2025 Xueliang Liu, Zhengyang Li, Haining Tang, Ran Peng (Author) https://creativecommons.org/licenses/by/4.0
The Application of Digital Twin for Indoor Air Quality Management
With the advocacy of the development of smart cities, buildings are also evolving to become smarter and more user-friendly. Employing cyber-physical technologies, such as the Internet of Things (IoT), Digital Twin (DT) and Building Information Modeling (BIM), can effectively monitor and control the built environment. DT is an emerging tool that connects the building to its digital replica so that the building’s situation can be monitored and presented to users effectively. This paper proposes a DT framework for building management to discover the applications of DT for indoor environment monitoring and control. A case study of a DT-driven indoor air quality (IAQ) system is completed to demonstrate the implementation of DT in the built environment. The system demonstrated the key features of DT, including monitoring, simulation, control and prediction, and showed their roles and functions in IAQ management. Finally, the difficulties and limitations, i.e. sensor selection and installation, of implementing the DT system in the built environment are presented after the case study.
Copyright (c) 2025 Chiu Kit Lo (Author) https://creativecommons.org/licenses/by/4.0
Research on the Reform of Architectural Acoustics Education Based on Noise Measurement and Simulation
This paper aims to enhance students' comprehensive practical abilities in the field of architectural acoustics through teaching reforms, especially in terms of how to effectively apply acoustic knowledge to the entire process of site planning and architectural design. In response to the disconnect between theory and practice in traditional architectural physics courses, this paper proposes the introduction of a combined experimental teaching model that integrates field noise measurement and simulation. Through this model, students can not only master the basic theories and principles of architectural acoustics but also deeply understand the impact of noise on the functional quality and environmental quality of architectural spaces through on-site noise monitoring and digital simulation technologies. The course content covers noise control and management from the early stages of building planning, design optimization, to later stages of building renovation, with a focus on the application of architectural acoustic simulation techniques in practical design. This approach not only helps students improve their practical application of architectural acoustics knowledge but also cultivates their ability to address noise issues effectively during the design process, ultimately promoting the organic integration of architectural design and environmental sustainability. The teaching reform proposal put forward in this paper seeks to enhance students' ability to solve practical problems by combining theory and experimentation and provide theoretical and technical support for acoustic optimization in future architectural designs.
Copyright (c) 2025 Ran Peng, Haojie Chen, Yanru Zhu, Zhengyang Li (Author) https://creativecommons.org/licenses/by/4.0
Spatiotemporal Characteristics of Built Environment Impacts on Street Vitality in Central Nanchang
Exploring the impact of the built environment on street vitality is essential for enhancing urban public spaces. Using the central urban area of Nanchang City as a case study, multi-temporal street vitality is measured with popula-tion heat data. A multi-dimensional built environment indicator system is de-veloped based on macro-scale neighborhood composition and micro-scale street characteristics, using street view imagery, POI data, and OSM road network data. The spatiotemporal variations in the influence of built envi-ronment factors on street vitality are examined through a multiscale geo-graphically weighted regression (MGWR) model. Results reveal that: (1) Street vitality is most prominent between 10:00 and 20:00, with a spatial pattern of "eastern core, western belt, and multiple clustered points" across all time periods. (2) Macro-scale neighborhood composition generally has a stronger impact on street vitality than micro-scale street characteristics. (3) The influence of various built environment factors on street vitality exhibits significant spatiotemporal heterogeneity. Factors like sky view openness and parking lot density show robust spatiotemporal variations, while con-nectivity, facility densities, walkability, street ratio, and green view index have localized spatiotemporal effects.
Multiscale Geographically Weighted Regression (MGWR)
Copyright (c) 2025 Zheng Gong, Qiyang Zhao, Wentao Song, Zhiling Jian (Author) https://creativecommons.org/licenses/by/4.0
Distribution Characteristics and Disaster Risks of Ancient Opera Stages in Hunan Province
Focusing on 219 existing ancient opera stages in Hunan Province, this study integrates GIS spatial analysis with the AHP-entropy model to exam-ine their spatial distribution and disaster risk characteristics. The findings reveal a generally discrete distribution pattern (R=1.86), with high-density clusters in southern and western Hunan. Spatial evolution follows a tempo-ral sequence, shifting from a southern concentration during the Ming and Qing dynasties to multi-directional expansion in the late Qing and Republic periods. A total of 72 stages are located in key geologic hazard zones, and 169 are threatened by floods, particularly in mountainous and low-lying ar-eas. Based on disaster risk zoning, a hierarchical protection strategy is pro-posed— emphasizing structural reinforcement and digital monitoring in high-risk areas, and drainage improvements with community participation in sec-ondary zones. The study establishes a “distribution–risk–response” frame-work, providing a scientific basis for the preventive conservation of tradi-tional opera heritage under climate change.
Copyright (c) 2025 Jing Chen, Ran Peng (Author) https://creativecommons.org/licenses/by/4.0
Exploring the Pathways to Enhance the Resilience Performance of Prefabricated Medical Buildings
This paper explores the pathways to enhance the resilience performance of prefabricated medical buildings. With the continuous advancement of urbanization in China, the requirements for the seismic performance of newly constructed hospitals are increasingly stringent. Prefabricated hospital buildings, which utilize green construction methods and select healthy, age-friendly, and easily maintainable building components, have become the primary model for the construction and renovation of emergency medical facilities in various regions. This study investigates the significance of enhancing the resilience performance of medical buildings, the limitations of current seismic resilience in medical buildings, and the potential paths to improve toughness performance. The research includes the application status of precast concrete structures in hospital construction, economic comparison of precast concrete structures and steel structures, seismic performance of structures under different prefabrication rates, integrity of precast concrete structures, and the synergy of concrete structures with seismic, isolation, and damping devices. The findings highlight the importance of adopting advanced seismic isolation and vibration reduction technologies to ensure the functional continuity of medical buildings during and after seismic events.
Copyright (c) 2025 Yue Chen, Liang Ma, Sitong Li, Yonghui Jiang, Yonghui Jiang, Siyang Shi (Author) https://creativecommons.org/licenses/by/4.0
Investigating the Impact of Emotional Perception on Low-carbon Urban Travel
As urban metro systems play an increasingly vital role in public transportation, passengers' emotional perception has become increasingly crucial for enhancing their travel experience and quality of life. This study establishes a theoretical relational model for whole-process perception during metro travel. Structural Equation Modeling (SEM) was employed to validate the significant relationships between travel experience perceptions and passenger emotions throughout metro journeys. Furthermore, Multi-group Structural Equation Modeling (MSEM) was utilized to analyze group differences in emotional perception among populations with varying genders and travel frequencies. The findings reveal: (1) The impact mechanism demonstrates that metro passengers' travel emotions are positively influenced by pre-boarding/post-alighting perceptions, accessibility perception, and in-carriage perception, with accessibility perception exhibiting the strongest effect. (2) Group effect analysis indicates significant differences in metro travel emotional perception across gender groups and travel frequency subgroups.
Multi-Group Structural Equation Modeling (MSEM)
Copyright (c) 2025 Xuan Qin, Xiaoran Wu, Haining Tang, Ran Peng (Author) https://creativecommons.org/licenses/by/4.0
Differences and Evaluation of the Development of Urban Rail Transit Interchanges in the Perspective of Multi-source Data
With the rapid development of urban rail transport, regional functional differences result in significant variations in service facilities and population growth around stations. A scientific assessment of station development can enhance the comprehensive benefits and sustainability of rail transit systems. Using Suzhou as a case study, this research analyzes the correlation between variables such as service facilities and population distribution utilizing POI data and Baidu heat map data. Interchanges were classified using clustering methods, and specific differences in service facilities among these stations were identified through analysis of variance (ANOVA)
Copyright (c) 2025 Jiahao Wan, Xiaoyang Guo (Author) https://creativecommons.org/licenses/by/4.0
Carbon Emission Measurement and Reduction Analysis of Typical Campus Buildings Using BIM and LCA
In the context of carbon peaking and carbon neutrality, the carbon emission issue in the construction sector has become increasingly salient. Campus buildings, being vital carriers of campus activities, significantly influence the sustainable development of the entire campus via their carbon emission profiles. To comprehensively evaluate the life cycle carbon emissions of typical campus public buildings, this study utilizes Building Information Models(BIM) to gather data on material and energy consumption at all stages, namely raw material procurement, construction, operation, and demolition of campus buildings. A life cycle carbon emission model for a building at a university in Hangzhou is constructed to calculate and analyze the carbon emission characteristics and intensities of each stage. The results indicate that the building in this project has a life cycle carbon emission of 15,718.97 tCO₂e. Through building material recycling and greening measures, a carbon emission reduction of 1,311.48 tCO₂e is attained. After accounting for carbon emission reduction, the life cycle carbon emission intensity of the project building is 1,884.74 kgCO₂e/m². The carbon emissions during the operation phase account for 85.01% of the total life cycle, primarily due to the high energy consumption of the HVAC system during operation. Moreover, the carbon emissions in the production stage of construction materials account for 18.36% of the total life cycle, which is mainly associated with the quantities of steel bars and concrete required for the project construction. This research offers a reference for the low-carbon development of campus buildings and facilitates the construction industry's shift towards green and low-carbon development.
Copyright (c) 2025 Xianquan Cai, Xuejiao Zheng (Author) https://creativecommons.org/licenses/by/4.0
Contract Risk Management for Cultural and Tourism Projects in EPC+O Mode
Driven by the policy of deepening the implementation of the rural revitalisation strategy and the deep integration of culture and tourism, the EPC+O model is becoming the preferred paradigm for large-scale culture and tourism projects due to its full-cycle integration capability. However, its contract risk management still faces the multi-dimensional challenges of cultural adaptation, operational benefits, and policy compliance. In this paper, 35 risk factors are identified through an empirical study of relevant literature, and the indicators are optimised using the questionnaire survey method to form a contract risk evaluation index system that includes 4 guideline levels, 10 level 1 indicators, and 32 level 2 indicators. The weights of the evaluation indexes are calculated by the comprehensive assignment method, combining the entropy weighting method and hierarchical analysis method. The contract risk evaluation model of the general contractor for the EPC+O mode cultural tourism project is constructed by the grey fuzzy comprehensive evaluation method. Taking the Hunan Shaoyang Wujiang Night Tour cultural tourism project as an example, the established contract risk evaluation index system and evaluation model are used to evaluate the contract risk of the project, and the risk control measures are proposed for the risk indicators with the most significant risk value of the project. The scientificity and applicability of the evaluation model are verified, providing tools for contract risk management of the EPC+O cultural tourism project, which has specific positive significance for the development of contract risk management.
Copyright (c) 2025 Renxian Yi, Yanfeng Du, Shasha Xie, Yazhou Fang (Author) https://creativecommons.org/licenses/by/4.0
Effects of Outdoor Informal Learning Space Typologies on Cognition and Emotional Regulation
Informal learning spaces are increasingly seen as vital for self-study, prompt-ing research on how environmental features affect learning efficiency and well-being. This randomized controlled experiment examined three outdoor settings—waterfront, woodland, and semi-open plaza—by having 81 under-graduates complete 5-minute self-study tasks in each, with simultaneous electroencephalography (EEG) and heart rate variability (HRV) monitoring. Cognitive tasks, psychological scales, and environmental preference invento-ries were used to assess changes in learning states. Results showed signifi-cant differences across environments in physiological, cognitive, and psycho-logical responses. Compared to plazas, waterfront and woodland settings produced more favorable outcomes, as indicated by EEG, HRV, attention, and emotion metrics. Cluster analysis revealed structured, synergistic rela-tionships among indicators. Findings support the value of nature-based envi-ronments, especially waterscapes and woodlands, in enhancing physiologi-cal regulation and attentional restoration, providing empirical evidence for health-oriented design of campus informal learning spaces.
Copyright (c) 2025 Xiaocong Li, Yanling Li (Author) https://creativecommons.org/licenses/by/4.0
Practice and Prospects of Smart Water Management Construction in the Context of Digital Transformation
Driven by urban expansion and rapid population growth, water management is transitioning from traditional models towards digitally-enabled smart water systems. This paper examines smart water management practices within the context of digital transformation. It specifically discusses four key areas of implementation: (1) comprehensive monitoring via IoT sensing, (2) water dispatch using digital twins, (3) intelligent emergency response for drainage, and (4) block-level collaborative water management. Furthermore, the paper prospectively analyzes future trends in smart water development, aiming to facilitate the digital transformation of the water industry.
Copyright (c) 2025 Shuo Jin, Yao Qu, Mengyue Peng, Guowei Gao, Huiliang Gao (Author) https://creativecommons.org/licenses/by/4.0
A Study on Community Conservation and Renewal Strategies for Industrial Heritage
The "First Five-Year Plan" is the beginning of China's modern industry, with the development of social economy and industrial transformation, many industrial heritage is facing the problem of renovation and renewal, and its corresponding supporting residential neighbourhoods are also difficult to adapt to the requirements of contemporary residential life, so this paper takes the industrial heritage community in Lanzhou as an example, and based on the summarization of the characteristics of the current situation and problems, discusses its value and explores the protection and renewal strategies for the industrial heritage community. Therefore, this paper takes the industrial heritage community in Lanzhou City as an example, summarises the current characteristics and problems, discusses its value, and explores the protection and renewal strategies for industrial heritage communities.
Copyright (c) 2025 BoHan Liang, MuCheng Xiao, Shan Hu (Author) https://creativecommons.org/licenses/by/4.0
Research on Storage and Transportation Cost Control and Technological Breakthroughs from the Perspective of Global Hydrogen Energy Development
As the world accelerates towards the "carbon neutrality" goal, the green transformation of the energy system has become an inevitable choice in addressing climate change. Hydrogen energy, with its unique characteristics, is regarded as the "fourth-generation energy" following coal, oil and electricity, and plays a crucial role in addressing energy and environmental challenges. Germany, Japan, China, the European Union and other countries have all elevated it to a national strategy. This article focuses on the high cost issue of hydrogen storage and transportation, clarifies the cost differences among various storage and transportation technologies (high-pressure gaseous, cryogenic liquid, magnesium-based solid-state hydrogen storage, and ammonia/methanol carrier transportation), determines the optimal applicable scenarios for each technology, and provides solutions to reduce storage and transportation costs. This study employs a technical and economic comparison analysis method. Based on the cost data of hydrogen storage and transportation technologies (such as magnesium-based hydrogen storage costs and transportation costs over different distances) and technical parameters, it comparatively analyzes the economic performance of various technologies under different transportation distances and scales. Suggestions such as giving priority to hydrogen blending in existing pipelines and developing 35MPa road transportation can effectively reduce the cost of hydrogen storage and transportation, facilitate the large-scale application of hydrogen in transportation, industry and other fields, and provide support for the integration of hydrogen into the global sustainable energy system.
Copyright (c) 2025 Yuhao Gu, Depeng Pan, Ning Yang, Xianpeng Wang (Author) https://creativecommons.org/licenses/by/4.0