Search Results (1,918)

Understanding how ecological quality and human activity co-evolve in densely populated watersheds is essential for sustainable land management, yet spatially explicit long-term evidence remains limited. This study investigated the spatiotemporal dynamics and coupling coordination between ecological quality and multi-dimensional human activity intensity in the Huai River Basin (approximately 269,000 km²) from 2012 to 2024. An Improved Remote Sensing Ecological Index (IRSEI) was constructed by integrating EVI, wetness, dryness, land surface temperature, and a salinity index through annual principal component analysis. A composite Human Activity Intensity (HAI) index combining nighttime light, built-up intensity, and population density was derived with objectively determined weights. The coupling coordination degree (CCD) model and a pixel-level four-quadrant classification were then applied to characterize the human–environment interaction. Results showed that the basin-wide mean IRSEI declined from 0.564 in 2012 to 0.516 in 2020, before recovering to 0.566 in 2024, while HAI increased moderately by 16.9%. CCD improved slightly from 0.451 to 0.480, indicating limited but positive coordination gains. Four-quadrant transitions revealed that high-ecology, low-activity areas expanded, low-ecology, low-activity areas contracted, whereas low-ecology, high-activity zones persisted as stable pressure cores. These findings demonstrate that ecological recovery and human activity intensification can coexist spatially, but persistent high-pressure areas require targeted management interventions. Full article

University common spaces are increasingly recognized as critical environments for social interaction and informal learning; yet empirical frameworks that integrate biophilic design, placemaking, and affective post-occupancy evaluation remain limited in educational contexts. This research adopts a post-occupancy evaluation (POE) design to assess how spatial configuration and biophilic placemaking strategies influence emotional experience, social interaction, and perceived inclusion in a redesigned university lobby serving five colleges. A structured questionnaire was administered to 212 users using the Pleasure–Arousal–Dominance (PAD) model, triangulated with systematic behavioral observations and spatial analysis. The results demonstrate that integrating biophilic elements, improving spatial organization, and introducing student-led activity areas yielded high perceived comfort (M = 3.75), balanced stimulation (M = 3.10), and a stronger sense of spatial control (M = 3.16), with significant positive correlations between biophilic integration scores and all three PAD dimensions. These findings introduce and empirically validate the concept of Socio-Biophilic Synergy and propose the Biophilic Placemaking Framework (BPF) as a unified evaluative structure, demonstrating that the intentional spatial design of the university spaces can meaningfully enhance social sustainability and emotional well-being in university environments. Full article

In ageing and built environment research, unevenness in evidence across spatial contexts constitutes a methodological condition rather than a simple coverage gap, with direct implications for how accessibility, usability and fairness are conceptualised and measured. Research on built environments for older adults has largely relied on urban evidence. Although findings from cities remain valuable, this focus influences how concepts are defined, which indicators are considered valid, and how far results can be generalised. Indicators designed for high-density urban settings often capture service availability well but have limited validity in low-density or resource-scarce environments. In such contexts, the presence of nearby services is frequently equated with accessibility, and accessibility is often assumed to imply usability. This paper synthesises review and measurement research to identify three mechanisms sustaining urban bias: urban-focused sampling, limited transferability of common indicators, and exposure definitions that assume density and reliable infrastructure. Building on this analysis, the study proposes a measurement framework that explicitly takes principles of fairness into account. This framework is organised around four analytical lenses: distribution, recognition, participation and sustainability. Matching sampling strategies, spatial classifications, measurement strategies and reporting practices to local settlement characteristics is critical to ensuring that conclusions are appropriately limited to what indicator-based evidence can validly support. Full article

Sustainable building practices can reduce environmental harm and support resilient urban development. To aid built-environment professionals such as architects, building scientists and planners in accomplishing regenerative design objectives, a variety of building rating and accreditation schemes have been developed, such as Greenstar or the Living Building Challenge. These schemes primarily focus on sustainability targets, such as energy and water use. Biodiversity considerations, despite their importance for ecosystem services and human health, are predominantly absent as core objectives in the building rating tools currently in use. To address this gap, we introduce the New Zealand Biodiversity Factor—Building (NZBF-B), a tool created to educate and incentivise the integration of biodiversity into buildings by assessing their biodiversity value, with a focus on prioritising native species. We outline the development of the NZBF-B, including its components, its scoring methodology, and an expert-informed weighting process used to determine the ecological relevance of each category. The tool captures key characteristics of building-associated biodiversity through measurable indicators that reflect both habitat provision and opportunities to strengthen human–nature connection. We advocate for the use of the NZBF-B alongside existing certification schemes to achieve more effective green building performance outcomes related to biodiversity. Full article

The integrated usage of metro and bus services plays a key role in long-distance trips in big cities. Revealing the nonlinear relationship between the intermodal transfer demand and the built environment is significant for building a sustainable public transport system. This paper proposes a stacking ensemble explainable machine learning framework, which uses meta-learner to learn the prediction results of diverse base learners to improve performance, to detect how the impact factors impact the intermodal demand, including metro-to-bus and bus-to-metro directions. In this framework, the ensemble model is the stacking model; the ridge regression model is the second model. The base learners contain tree-based models (e.g., Random Forest, XGBoost and CatBoost) and non-tree-based models (e.g., SVR and KNN). The framework is applied to the case study of Beijing, China, based on one weekday (13 May 2019) and one weekend day (18 May 2019) of smart card data covering the main urban districts within the Sixth Ring Road. The results indicate that the stacking ensemble learning model outperforms the base learning models. For the metro-to-bus direction, transfer time, bus station count, and degree centrality are the top three influential factors; for the bus-to-metro direction, transfer time, bus station count, and shopping POI count are the top three, with lower predictive performance due to greater variability in this direction. However, the interaction effect of transfer time and bus station count is negative. This study could provide new insights into public transport planning and management. Full article

Artificial intelligence has become constitutive of smart city governance, yet data and algorithmic challenges remain analytically separated in existing scholarship, obscuring their recursive coupling and consequences for the built environment. This review synthesises 82 peer-reviewed studies (2020–2025) drawn from a deduplicated corpus of 876 records, combining PRISMA-guided methodology with VOSviewer and CiteSpace bibliometric mapping. Annual output rose from 78 publications in 2020 to 224 in 2024, with ten leading countries contributing roughly 84% of the corpus. The keyword network organises into five thematic clusters spanning AI technical foundations, data governance, algorithmic governance, sustainability, and built-environment governance; emerging 2023–2025 couplings between digital twin and SDG 11, and between generative AI and SDG 11, mark a shifting research frontier, while the algorithmic governance → SDG 16 linkage constitutes the strongest single ribbon in the synthesis. The study advances a double-helix coupling mechanism specifying directional propagation, reverse modulation, and structural cross-linking between data and algorithmic strands, reframing building energy management, digital-twin operation, and smart infrastructure as governance arrangements whose sustainability legitimacy depends on the simultaneous integrity of both strands. Full article

The indoor microbiological contaminants present in the built environment, including residential buildings, can pose significant risks to human health and well-being and the sustainability of indoor environments. Therefore, the total aerobic microbial count (TAMC) and total yeast and mold count (TYMC) are key indicators used to evaluate microbial contamination levels in indoor spaces. This study presents an assessment of TAMC and TYMC in residential indoor environments in two cities in Spain, Pamplona and Seville, which represent different climate zones, with Seville characterized by extensive air conditioning use due to its high summer temperatures. We conducted sampling and analysis in 20 dwellings over two summer campaigns to quantify microbial populations and identify parameters that worsen TAMC and TYMC and promote amplification (I/O, indoor/outdoor). The results show that ventilation type, building design, and climatic conditions significantly influence indoor bacterial amplification. The study indicates that the implementation of the Spanish building code in 2006 has improved microbial Indoor Air Quality (IAQ), even in airtight and energy-efficient dwellings, highlighting the importance of integrating ventilation and health considerations into sustainable building design. Environmental parameters such as temperature and CO₂ concentration were reliable indicators of bacterial proliferation. Kitchen design and the presence of pets also emerged as relevant determinants of microbial loads. Overall, the use of I/O ratios proved effective for identifying indoor microbial amplification, supporting their application in future IAQ assessments, sustainable building evaluations, and healthy housing strategies. Full article

Waterfront built environments are increasingly exposed to hydrological variability and climate-related pressures that challenge conventional land-based building typologies. This systematic review examines permanently buoyant floating systems and flood-responsive amphibious systems as water-adaptive approaches to climate adaptation and regenerative waterfront development. Peer-reviewed studies indexed in Scopus and Web of Science were reviewed for January 2015–August 2025, with searches last updated on 15 August 2025. The review combines PRISMA-guided selection, bibliometric mapping of the screened publication landscape (N = 1410), and qualitative synthesis of the core evidence base (N = 63). Regenerative potential is operationalised as credible only where supported by explicit ecological, socio-spatial, governance-related, or performance-oriented evidence, including life-cycle assessment, post-occupancy evidence, ecological monitoring, habitat enhancement, blue-green infrastructure integration, or documented implementation mechanisms. The findings show that floating typologies dominate the evidence base, whereas amphibious approaches are less frequent but more directly associated with in-place flood adaptation. Persistent gaps concern regulatory frameworks, infrastructure interfaces, life-cycle assessment, ecological validation, and long-term post-occupancy monitoring. The review concludes that scalability depends on context-specific siting, institutional permission, regulatory approval, and verifiable environmental performance. Full article

This study reframes street-level sustainable urban renewal as a coordination problem between street vitality and relative low-carbon performance, rather than treating vibrant activity and carbon-pressure reduction as separate planning objectives. Its main contribution is an integrated street-level diagnostic framework that combines multidimensional vitality measurement, township-constrained carbon-emission reference estimation, vitality–carbon mismatch identification, and interpretable nonlinear mechanism analysis within unified street analytical units. Although previous studies have substantially advanced the measurement of street vitality and urban carbon emissions, these two strands of research have often developed separately. As a result, limited evidence is available on whether high-vitality streets also perform well in low-carbon terms, where vitality–carbon mismatches emerge, and which built-environment conditions are associated with more coordinated outcomes. Taking the five central districts of Chengdu, China, as a case, this study integrates multi-source activity, mobility, built-environment, and emission-related data. Street vitality is measured through activity agglomeration, temporal continuity, functional support, and external connectivity, while relative low-carbon performance is derived from the reverse normalization of length-normalized carbon-emission intensity based on a township-constrained street-level emission reference estimate. The results show that street vitality and low-carbon performance are spatially uneven and frequently mismatched, as high activity does not automatically translate into stronger low-carbon performance, and lower-carbon pressure does not necessarily indicate a vibrant urban environment. More coordinated streets are associated with context-specific combinations of functional organization, transport operation, built form, street-interface quality, and ecological background. Nonlinear diagnostic results further suggest that coordination is favored by moderate, balanced, and locally adapted built-environment conditions rather than by the simple maximization of individual indicators. These findings shift the discussion from whether vitality and low-carbon performance are desirable in isolation to how they can be jointly diagnosed and improved in street-level urban renewal. Full article

The concepts of ecosystem services (ES), landscape services (LS), and urban ecosystem services (UES) have gained wide recognition within the international scientific community and are increasingly employed in urban and landscape planning and design, particularly in relation to green infrastructure and nature-based solutions. Nevertheless, their application in urban contexts often reveals theoretical and operational shortcomings, especially when ecological frameworks are transferred to cities without adequate consideration of their spatial, cultural, and design-specific characteristics. This paper examines the use of ecosystem services in urbanized environments and reflects on the contribution of urban planning theory to this evolving debate. While many operational approaches to UES have been developed within environmental and ecological disciplines, the complexity of urban contexts is still not fully captured, often resulting in interpretations that only partially address their multidimensional nature. This suggests an opportunity for stronger integration between ecological frameworks and urban planning perspectives. The article identifies key critical issues in the relationship between ecosystem services and urban environments, arguing for the need to reframe UES through a landscape-based approach. By introducing landscape services as a mediating concept between ecological processes and the built environment, the paper highlights the relevance of spatial structure, design intentionality, and landscape configuration in shaping environmental performance and urban sustainability. The proposed perspective aims to support the development of more context-sensitive and design-informed interpretations of urban ecosystem services, contributing to the advancement of sustainable built environment strategies. Full article

Sustainability challenges in the built environment demand a shift in architectural education from form-based approaches toward adaptive, systems-oriented, and performance-driven thinking. This paper examines an integrated pedagogical model combining biomimicry, parametric thinking, and modular design to enhance sustainable design learning in architectural studios. Using a qualitative case study approach, this research investigates Architectural Design Studio 4 at the American University of Ras Al Khaimah (AURAK), where third-year students followed a three-stage discovery-based process. Students first analyzed biological systems to identify transferable principles, then translated these principles into parametric modules using computational tools such as Dynamo and Revit, and finally applied the systems to high-rise architectural design. The findings indicate that integrating biomimicry with parametric workflows encouraged optimization, adaptability, and reusable design strategies rather than fixed outcomes. Modular design approaches helped students manage architectural complexity, while computational tools supported performance-based exploration and informed decision-making. The absence of a predetermined final design fostered critical thinking, creativity, and problem-solving skills. This study contributes empirical evidence to architectural education research by demonstrating that process-based, discovery-oriented studios can strengthen students’ understanding of sustainability, systems logic, and adaptability, preparing future architects for contemporary environmental and technological challenges. Full article

This study investigates the relationship between toxic workplace culture and voluntary employee turnover, undermining workforce sustainability in Ghana’s construction industry. While some previous research has found a relationship between a toxic working environment and employee withdrawal habits, few studies have investigated the psychological processes between the toxic work culture and employee turnover in Global South construction companies. Based on the theories of Conservation of Resources and Social Exchange, this research examines the possible mediating factors between the toxic work culture and employee turnover: employee burnout, psychological safety, and job dissatisfaction. Structured questionnaires were used to design a quantitative cross-sectional survey, which was administered to 174 construction workers in Ghana. The data were analysed using mediation regression models based on Ordinary Least Squares (OLS). The findings show that a hostile work environment and a lack of organisational support were the two highest dimensions of work culture assessed as negatively impacting employee burnout, psychological safety, and attrition intentions. Employee burnout was the only significant predictor for voluntary employee attrition (β = 0.3628, p < 0.001), and psychological safety had a significant protective effect (β = −0.1785, p = 0.016). Mediation accounted for 67.4% of the variance in attrition outcomes. This paper shows how a negative organisational climate can undermine the stability of human resources, psychological well-being, and the social dimension of sustainability in construction companies. The results indicate that organisational support, leadership accountability and psychologically safe working environments are important for increasing employee retention and long-term organisational resilience. Full article

This paper highlights the eco-efficiency of a sustainable digital solution to support decision-making in resolving the problem of sudden production drops and associated energy waste in industrial power plants, especially those operating with a steam turbomachine. The solution involves a multi-interface digital dashboard that generates insightful visual reports and gives proactive alerting to the decision-makers about potential underperformances to ensure resource optimization. For the studied use case, it involves the development of three interfaces of the dashboard, so as to perform the sustainable monitoring of a thermoelectric power plant based on the Rankine–Hirn cycle as follows: the first interface is about real-time monitoring of thirty-two key physical parameters equipped with a notification system. The second interface displays the historical trends of all the plant variables, in order to help in detecting incipient abnormal deviations before they impact environmental efficiency. Lastly, the third platform covers a predictive model using the XGBoost algorithmic method to forecast the future behavior of the electrical power as the target variable of the power plant. The XGBoost method was selected after a comparative assessment which also included the algorithms of Random Forest Regressor (RFR) and Gated Recurrent Unit (GRU). As a final step, this solution was later tested in a simulation environment built under the “Node-Red” platform, through an industrial decision scenario. The concrete findings validate the framework’s sustainability metrics, demonstrating the ability of the solution to help in preserving, for each production cycle of two years, up to 7.6 GWh of electrical energy that would otherwise be wasted, which translates into a potential cost-saving exceeding 633,247.9 USD, as well as an ecological impact by preventing the emission of 4628 tons of CO₂. Full article

Rapid urbanisation in the Global South has accelerated the expansion of informal settlements. This has increased exposure to water-, fire-, and health-related risks and undermined pathways toward sustainable urban development. Although such risks are often framed as environmental outcomes, growing evidence suggests that they are fundamentally shaped by spatial planning conditions. This study investigates the spatial planning drivers of disaster risks in informal settlements in Mopani District, South Africa. An exploratory mixed-methods design was adopted, combining data from 605 households and 87 key informants. Quantitative data were analysed using exploratory factor analysis and multinomial logistic regression, while qualitative data were analysed thematically. The results show that water-related risks were the most prevalent, affecting 50.7% of households, followed by health risks (26.3%) and fire risks (14.7%). Activity patterns emerged as the strongest and most consistent predictor of disaster risk outcomes. The findings demonstrate that disaster risk is systematically shaped by the spatial organisation of settlements, activity concentration, built-environment conditions, and institutional limitations. These dynamics have direct implications for urban sustainability. The study contributes to the literature by advancing a systems-based spatial planning perspective on disaster risk in informal settlements and by providing empirical evidence from South Africa on the persistent gap between the policy intentions of SPLUMA and its implementation. It further highlights that achieving sustainable and resilient cities requires a shift from reactive disaster management towards proactive, risk-sensitive spatial planning approaches that integrate informal settlements into formal planning systems. Full article

The integration of the Sustainable Development Goals (SDGs) into architectural education has received increasing scholarly attention; however, this discussion has largely focused on design studios, environmental design, sustainable design pedagogies, or program-level curriculum mapping. By contrast, project/construction management, construction economics, design economics, time management, and construction project management courses have received comparatively less attention as specific curricular sites for SDG-oriented integration. This study analyzes course information packages related to project/construction management in selected undergraduate architecture programs in Türkiye through an SDG-oriented curriculum mapping approach. Methodologically, the study combines document-based comparative curriculum mapping, directed qualitative content analysis, six thematic coding areas, 0–3 thematic intensity coding, and SDG alignment. The comparative analysis group consists of eight courses related to project/construction management, construction economics, design economics, time management, and construction project management. The findings show that the project/construction management core is strongly represented across all analyzed courses. Sustainability and SDG orientation are most visible in the Design Economics and Special Topics of Construction Project Management courses, while the Time Management in Building Production course stands out in relation to digital/software-supported management. The SDG alignment profile indicates strong visibility for SDG 11, SDG 4, SDG 16, and SDG 12; moderate-to-strong visibility for SDG 9; and a more indirect visibility for SDG 13 through life-cycle thinking, resource efficiency, and sustainable construction management. The original contribution of the study lies in positioning project/construction management courses as a specialized curricular field within SDG-oriented architectural education and in proposing the SDG-Oriented Project/Construction Management Education Matrix. The results suggest that project/construction management courses are not merely technical professional courses; rather, through time, cost, quality, risk, contracts, life-cycle costing, resource management, BIM, supply chains, facility operation, ethics, and applied learning, they provide a strategic curricular foundation for sustainable built environment education. Full article