Search Results (25)

Despite the widespread adoption of the Leadership in Energy and Environmental Design (LEED) rating system, there is limited empirical research examining how different sustainability categories are implemented in practice or how methodological patterns influence certification outcomes. This study contributes to this understanding by analysing LEED v4 Building Design + Construction certification patterns across 1252 newly constructed buildings in the United States to understand the methodological foundations and identify improvement opportunities for the LEED framework. Using credit achievement degree (CAD) analysis, regional variation assessment, and correlation analysis, we examined category adoption patterns across nine US climate regions, investigated relationships between LEED categories, and analysed certification level influences. The analysis reveals significant disparities in category adoption, with innovation (80.7%) and regional priority (66.6%) achieving high implementation rates while the category of material and resources (41.1%) consistently underperforms. Statistically significant regional variations exist across eight of nine categories (p < 0.05), with location and transportation showing the highest variability (CV = 20.1%). The category of energy and atmosphere demonstrates the strongest relationship with overall project performance (R² = 0.38), explaining 43% of total score variation and serving as the primary driver of higher certification levels. Most critically, inter-category correlations are weak (typically R² < 0.05), indicating that projects treat sustainability domains as separate challenges rather than integrated systems. Positive skewness across all certification levels (z-scores > 1.96) provides statistical evidence of strategic “point-chasing” behaviour, where teams target minimum thresholds rather than maximising comprehensive sustainability performance. These findings reveal fundamental methodological patterns that may limit LEED’s effectiveness in promoting holistic sustainability approaches. The compartmentalised implementation patterns and threshold-focused strategies suggest opportunities for structural refinements, including enhanced integration incentives, region-sensitive benchmarking, and certification frameworks that reward comprehensive rather than minimal compliance. This research contributes empirical evidence for evidence-based improvements to green building certification methodology and provides insights for more effective sustainability assessment tools. Full article

With the development of financial technology, the traditional experience-based and single-network credit default prediction model can no longer meet the current needs. This manuscript proposes a credit default prediction model based on TabNeT-Stacking. First, use the PyTorch deep learning framework to construct an improved TabNet structure. The multi-population genetic algorithm is used to optimize the Attention Transformer automatic feature selection module. The particle swarm algorithm is used to optimize the hyperparameter selection and achieve automatic parameter search. Finally, Stacking ensemble learning is used, and the improved TabNet is used to extract features. XGBoost (eXtreme Gradient Boosting), LightGBM (Light Gradient Boosting Machine), CatBoost (Category Boosting), KNN (K-NearestNeighbor), and SVM (Support Vector Machine) are selected as the first-layer base learners, and XGBoost is used as the second-layer meta-learner. The experimental results show that compared with original models, the credit default prediction model proposed in this manuscript outperforms the comparison models in terms of accuracy, precision, recall, F1 score, and AUC (Area Under the Curve) of credit default prediction results. Full article

The growing attention regarding the environmental challenges in the energy sectors pushes the industrial system toward the investigation of more sustainable and renewable energy sources to replace fossil ones. Among the promising alternatives, biomass is considered a valid source to convert the system and to reduce the fossil fraction of the national energy mixes, but its multiple potential uses need an environmental evaluation to understand the actual benefit when it is used as an energy resource. For this purpose, life cycle assessment (LCA) is applied to a wood biomass gasification system aimed to produce electricity and heat generated after the combustion of the produced syngas and the management of the biochar. The aim is to provide a quantitative comparison of (i) a baseline scenario where wood biomass is sourced from waste and (ii) a second scenario where wood biomass is drawn from dedicated cultivation. A further evaluation was finally applied to investigate the environmental implications associated with the biochar composition, assuming it was used on land. The proposed strategies resulted in an environmental credit for both the examined scenarios, but the outcomes showed a net preference for the baseline scenario, resulting in better environmental performances for all the examined categories with respect to the second one. It underlines the potentialities of using waste-sourced biomass. However, according to the Climate Change category, if on-site dedicated biomass cultivation is assumed for the second scenario, the baseline is considered preferable only if the biomass transportation distance is <600 km, which is estimated as a theoretical distance for scenarios to break even. Finally, biochar composition proved a particular concern for toxicity-related categories. This study highlights the importance of applying objective and standardized methodologies such as LCA to evaluate energy production systems based on alternative sources and to support decision-making toward achieving sustainability goals. Full article

The integration of sustainability standards and value engineering methods in public education projects is a significant concern, as it ensures the well-being and sustainability goals of students, lecturers, and employees. This study aims to enhance sustainability within public education campuses by utilizing value engineering processes that establish a balanced correlation between the available budget costs and the sustainability costs that affect educational objectives, strategies, and the overall sustainability of the environment. In order to evaluate the integration of value engineering and the sustainability rating system “LEED protocols” for schools, the study utilized HAP (Hourly Analysis Program) software to perform numerical analysis, with the objective of improving environmental efficiency and cost-effectiveness in school buildings from the perspective of both male and female students. By applying this approach to all engineering disciplines, systems, and materials involved in the project, the study achieved impressive results, including a reduction in energy usage by 53.67%, a cost reduction of 27.48% from the total project budget, and 13 points earned in credit C1 and credit C2 in the Energy and Atmosphere EA category in LEED 2009. These findings are of great importance for the planning and execution of construction projects, specifically in the context of educational infrastructure, and provide valuable insights into the construction and renovation of school buildings, which can be used to enhance the safety, functionality, and aesthetic appeal of these facilities. Full article

Over the past five years, Leadership in Energy and Environmental Design Commercial Interior version 4 (LEED-CI v4)-certified office projects have been intensively studied in the USA and China, but they have not yet been studied in the Mediterranean region. The purpose of this study was to explore office building certification strategies for LEED-CI v4-certified projects in the Mediterranean region. The study design included pairwise comparative analyses between Spain (number of projects (n) n₁ = 14), Türkiye (n₂ = 13), and Israel (n₃ = 11). Cliff’s δ and exact Wilcoxon–Mann–Whitney tests were used to process ordinal and discrete data, while the natural logarithm of the odds ratio and 2 × 2 Fisher’s exact tests were used to handle dichotomous data. It was found that Spain and Türkiye outperformed Israel in the Location and Transportation (LT) category due to their desire to reduce the use of private transport. Spain and Türkiye were ahead of Israel in the LTc5 “reduced parking footprint” credit (p = 0.008 and 0.0005, respectively). Israel outperformed Spain and Türkiye in the Energy and Atmosphere (EA) category due to the sum of all six EA credits (p = 0.086 and 0.010). Spain overtook Türkiye and Israel in the Materials and Resources (MRs) category due to Spain’s increased use of environmental product declarations. Spain and Türkiye were ahead of Israel in the following four MRs credits: MRc1 “long-term commitment” (p = 0.030), MRc2 “interiors life cycle impact reduction” (p = 0.037), MRc3 “building product disclosure and optimization—environmental product declarations” (p = 0.029), and MRc5 “building product disclosure and optimization—material ingredients” (p = 0.034). Spain, Türkiye, and Israel showed similarly low levels of achievement in the Indoor Environmental Quality (EQ) category (p ≥ 0.405). However, Spain and Türkiye outperformed Israel in the following two credits: EQc1 “enhanced indoor air quality strategies” and EQc2 “low-emitting materials” (p = 0.001 and 0.060, respectively). In parallel, Israel outperformed Türkiye in the EQc3 “construction indoor air quality management plan” (p = 0.026), and Israel outperformed Spain in the EQc8 “quality views” credit (p = 0.066). As a result, a pairwise comparison of the three Mediterranean countries showed that each country has a unique LEED certification strategy. Knowledge of the above green building strategies will be helpful for LEED professionals. Full article

Online shopping has become a common and popular form of shopping, so online attackers try to extract money from customers by creating online shops whose purpose is to compel the buyer to disclose credit card details or to pay money for goods that are never delivered. Existing buyer protection methods are based on the analysis of the content of the online shop, customer reviews, the URL (Uniform Resource Locator) of the website, the search in blacklists or whitelists, or the combination of the above-mentioned methods. This study aims to find the minimal set of publicly and easily obtainable features to create high-precision classification solutions that require little computing and memory resources. We evaluate various combinations of 18 features that belong to three possible categories, namely URL-based, content-based, and third-party services-based. For this purpose, the custom dataset is created, and several machine learning models are applied for the detection of fraudulent online shops based on these combinations of features. The results of this study show that even only four of the most significant features allow one to achieve 0.9342 classification accuracy, while 0.9605 accuracy is reached with seven features, and the best accuracy of 0.9693 is achieved using thirteen and fifteen features. Full article

This study introduces a non-parametric methodology for estimating expected frequencies of defaults and other credit events. The methodology allows for an independent estimation of a credit-quality variable, referred to as a default rank variable. In a subsequent step, the relationship between the rank variable and the expected default frequency is established. This analysis can be achieved by initially determining the functional dependence between the rank variable and the expected tail default frequencies representing the average default frequencies of entities ranked lower than a given rank value. The expected default frequency can then be derived from a simple linear integral equation. We propose a prototype model for public corporations which establishes generalized logistic function dependencies between the distance-to-default rank variable and the expected default frequencies in the log–log space. This relationship applies to public corporations across different credit rating categories. Full article

Leadership in Energy and Environmental Design for New Construction and Renovation (LEED-NC), version 3 (v3)-certified projects include at least 13 different space types. However, the impact of space types on LEED certification strategies is not yet fully understood. This study assessed the impact of different building types on achieving LEED-NC v3 categories and credits in gold-certified projects in Poland. The exact Wilcoxon–Mann–Whitney test and Fisher’s exact 2 × 2 with Lancaster’s correction test were used to estimate the difference between four space types (i.e., through pairwise comparison) with small sample sizes (n): industrial manufacturing space (IMS) (n = 9), office space (OS) (n = 7), multi-family residential space (MRS) (n = 6), and lodging space (LS) (n = 8). With these sample sizes, meaningful conclusions could be drawn with these tests. Design structure: IMS and OS refer to two subgroups nested in the production group, while MRS and LS refer to two other subgroups nested in the live group. This design structure was used to perform the logical analysis. The results showed that the number of significant differences (p ≤ 0.05) (i) between two subgroups (IMS vs. OS) within the production group was 1 out of 46, and (ii) between two subgroups (MRS vs. LS) within the living group was 6 out of 46, while (iii) the difference between the production and living groups was 45 out of 184. When comparing the production and living groups, LEED indoor environmental quality credit achievements showed the largest contribution (37%) to the number of significant differences. The practical implication of the study is to offer recommendations on LEED certification strategies for production and living spaces. Full article

The aim of this study was to investigate strategies for the certification of environmentally friendly office buildings in Germany. A total of 39 LEED-NC gold-certified office space projects were ranked according to their “optimize energy performance” credit (EAc1) achievements from the energy and atmosphere (EA) category and divided into two groups: 13 projects (group 1) with the highest and 13 projects (group 2) with the lowest EAc1 achievements. Nonparametric statistics were used to evaluate the differences between groups 1 and 2. A two-stage nested analysis of variance test was used to evaluate the differences between the two groups in terms of their life cycle assessment (LCA). A comparison of the two groups showed that group 1 outperformed group 2 in the EA category (p < 0.0001). However, in the other LEED categories, the differences between the two groups were not significant (p ≥ 0.0761). As a result, group 1 outperformed group 2 in terms of overall LEED points (p = 0.0048). The LCA of EAc1 showed that group 1 enacted the lowest environmental damage when compared to group 2 (p = 0.0040). The environmental assessment of LEED-certified projects can help green building managers choose the most sustainable certification strategy. Full article

Increased greenhouse gas emissions have led to a global warming threat. As a result, countries have tended to focus their decision-making attention on energy-saving strategies. Specifically, the concept of green building has been developed for the construction sector. It aims to create energy-efficient structural activities (new constructions, repairs, or renovated constructions) that will be carried out in line with the determined criteria. With the concept of green building and the need to establish criteria and standards to ensure energy efficiency, green building certification systems have come to the fore. The Leadership in Energy and Environmental Design (LEED) and the Building Research Establishment Environmental Assessment Method (BREEAM) certification systems have been developed. This article investigates the achievements of the Indoor Environmental Quality (IEQ) category of LEED-certified projects in Türkiye and Europe. A comparison study of countries was carried out, based on the fourth version of the LEED BD+C framework that was developed for new green building projects. The study’s primary goal is to show the linear correlation between market value and IEQ. It was revealed that the gross domestic product does not affect IEQ applications. Although Türkiye was ranked first in applying for IEQ credits, its economic development level is lower than that of other European countries. Full article

Over the last decade, it has been clearly shown that the same achievements in Leadership in Energy and Environmental Design (LEED) projects can lead to different life cycle assessments (LCAs). However, the problem of contradictory achievements in LEED and LCA has not yet been resolved. This study aimed to identify and evaluate different strategies for LEED projects using LCAs. Thirty-nine LEED projects with the same characteristics—location and transportation, rating system, rating version, certification level, and space type—were collected and sorted by their energy and atmosphere (EA) category, “optimize energy performance” credit (EAc6) achievement into three equal groups (EA_Low, EA_Medium, and EA_High, where each group includes 13 LEED projects) to minimize the influence of uncontrolled factors on the LEED project strategy. The author focused on two extreme groups with very different EAc6 credit scores: EA_Low (13 projects) and EA_High (13 projects). The groups were compared across LEED categories and credits. Wilcoxon–Mann–Whitney and Cliff’s $\delta$ test results showed that the EA_Low and EA_High groups are associated with high/low achievements in materials-related credits such as “interiors life cycle impact reduction”, “building product disclosure and optimization—material ingredients”, and “low-emitting materials”. As a result, the EA_Low and EA_High groups were reclassified into Energy_Low–Materials_High and Energy_high–Materials_Low certification strategy groups. In this context, LCAs were used to assess the differences between the two strategies. The results showed that if natural gas was used for operational energy (OE), the Energy_High–Materials_Low strategy showed lower environmental damage compared to the Energy_Low–Materials_High strategy ($p$ = 0.0635); meanwhile, if photovoltaic energy was used for OE, the Energy_Low–Materials_High strategy showed lower environmental damage compared to the Energy_High–Materials_Low strategy ($p$ = 0.0036). The author recommends using the LEED protocol and the LCA method in parallel to better reflect the environmental impact of different certification strategies. Full article

CiteSpace was used to visualize the knowledge ecology of the green finance research literature in CNKI and WOS, and NVivo software was used to root the code analysis of the current green finance policies in China. From the analysis of the research hotspots, both in China and internationally, great importance is attached to the research on green finance, and the research on green financialization has broad prospects. The core group of authors on green finance research in China has taken shape, whereas the core group of authors of green finance research in the rest of the world has not yet taken shape. There is a lack of close cooperation and a relatively low level of communication among important domestic green finance research institutions, and a certain scale of cooperation network has been formed among influential international institutions. The major countries for influential international green finance research are Singapore, France, Switzerland, Canada and Saudi Arabia, and the international influence of China’s green finance needs to be improved. Both domestic and foreign countries attach great importance to the balance between economic growth and the low-carbon green transition. China attaches more importance to macroeconomic development and strategic transition, but internationally, the trend is toward microcorporate green performance, policy optimization and market innovation. The research focus of green finance has achieved in three stages of evolution, namely, green industry in the early stage, green services in the middle stage and green strategy in the near future. International green finance research focuses on climate change, market players, government performance, social responsibility sharing, etc. In particular, reducing the cost of green development is the focus of international green finance. The domestic focus is on climate risk, carbon neutrality, carbon peak, low-carbon transition, carbon reduction, and green transition themes. Internationally, the focus is on financial performance, decisions, green finance, credit, drivers, quality, socially responsible investment and other topics. Considering the practical implementation of green finance in China, the governance logic of China’s green finance policy consists of five main categories: policy belief, policy objective, policy tool, policy feedback and policy cycle. In the future, the development and improvement of China’s green finance policy should achieve breakthroughs in the following aspects: first, guiding the main body of green finance policy to firmly establish policy beliefs; second, improving the clarity of green finance policy objectives; third, enhancing the overall effectiveness of the governance of green financial policy instruments; fourth, strengthening the green finance incentive policy feedback system construction; and fifth, improving the quality of green finance policy cycles. Full article

In 1998, the U.S. Green Building Council (USGBC) developed the Leadership in Energy and Environmental Design (LEED) program to provide a standard form of evaluation for sustainability in building design and construction. Since its inception, LEED has undergone seven significant revisions, wherein the expectations needed to achieve the desired certification level were clarified and updated. The reasons for these updates are varied and include the recognition of new technologies and materials, the application of more stringent energy standards, and the recognition of differences in building types. However, the perception within the architecture, engineering, and construction (AEC) industry is that higher certification levels are more challenging to obtain in each subsequent version of LEED. For example, projects receiving a Gold certification under LEED 2.1 may only qualify for a Silver certification under LEED 3.0. The goals of this paper are to review changes in LEED over time and to empirically test this perception. Direct comparisons of the text of the credit requirements were performed between LEED versions (v) 2.1, v2.2, and v3.0 on a credit-by-credit basis. The comparison revealed ten different categories of changes between versions. From this comparison, conversion matrices were developed to allow a project scorecard from an older version of LEED to be converted to a newer version. To address uncertainty resulting from changing the level of detail in the information submitted on project scorecards, both strict and interpretative versions of these matrices were developed. These matrices were then applied to a sample of LEED-certified building projects, drawn using a stratified random sampling procedure from the publicly available USGBC database. The strata were separated first by LEED version (e.g., v2.1, v2.2, and v3.0) and then by certification level (e.g., Certified, Silver, Gold, Platinum). After converting the project scorecards from this sample, qualitative and correlational analyses were performed to test the hypothesis that LEED scores increase over time. The results show that in both strict and interpretive transformations, LEED scores show a slight to moderate increase in points over time. Full article

Integration of safety aspects in IFMIF-DONES design is a main objective of EUROfusion and European Commission projects. IFMIF-DONES will be a radioactive facility of the first category, and stringent safety objectives must be achieved and demonstrated. A very low acceptable risk for the worker, the public and the environment is the main principle in the design phase. The progress of safety activities is performed iteratively as detailed engineering develops, taking into account the uniqueness of the facility: a high-power deuterons accelerator (125 mA, 40 MeV), a target of flowing liquid lithium, traps for activation products, a dedicated-design module for irradiated samples, a massive shielding cooled room with confinement function, and a number of conventional systems with safety functions. Several phases are developed: (i) identification of sources and materials at risk, radioactive and nonradioactive, subject to potential mobilization, (ii) failure mode analysis and effects of systems, starting at the functional level, and support with probabilistic analysis, (iii) identification of scenarios leading to unacceptable risk if unmitigated, (iv) proposal of layers of defense by means of safety-credited components and design features, (v) deterministic analysis of scenarios in support of requirements, and (vi) definition and demonstration of safety requirements charged to components. Full article

The sustenance of marginal and small farm households is a pertinent question given that their number is on the rise in South-Asia. The study aims to assess their present socio-economic profile and the challenges faced in order to draw a roadmap of development for these underprivileged households. The study pertains to Indian Punjab and data from the Situation Assessment Survey of the 70th Round of NSSO are used. The concepts of economic surplus, occupational diversity, farm productivity and vertical and horizontal inequalities are used to achieve the objectives. This study reveals that marginal farm households faced food insecurity as they failed to meet consumption expenditure from the income earned. In fact, small farm households are left with an annual economic surplus of Rs 8890 per capita only, after meeting consumption needs. Income is unevenly distributed among farm households with a Gini coefficient of 0.48. The majority of the marginal and small farm households fall in lower-income quintiles and are occupationally more diversified than their larger counterparts. Horizontal inequalities are lower between the farm-size categories (0.14) than within farm-size categories (0.27). The Gini coefficient within each farm-size category is the highest among marginal farm households (0.50), followed by small farm households (0.45), highlighting their economic stress and tug-of-war survival. Further, the farm households belonging to socially lower castes falls only in the marginal farm-size category and represent the lowest income. Development must be sustainable and inclusive, hence, policies to develop marginal farmers’ centric farming systems and high value crops such as potato, cotton, sugarcane and oilseeds, providing high yielding livestock breeds, value addition through farmer-producer organizations, non-farm employment through MGNREGA, provision of institutional credit at subsidised rate of interest and quality health and education facilities in the public sector are recommended to uplift the affected households. Full article