Search Results (12,158)

Adaptability is a crucial yet often misunderstood aspect of sustainable architecture. This study explores how adaptability can be systematically embedded from the early design phase through construction, use, and eventual transformation or repurposing. By conducting a comprehensive literature review, the research categorises adaptability into distinct types of change and examines their relevance at different project stages. The findings emphasise the necessity of incorporating adaptability considerations early in the process, ensuring that buildings can respond to evolving spatial, functional, and environmental demands over time. While existing research acknowledges the importance of adaptability, gaps remain in its practical application across the full building life cycle. This study addresses these gaps by proposing a methodology to support long-term decision-making and reduce obsolescence in the built environment. By promoting life cycle thinking, this paper contributes to a more comprehensive understanding of adaptability, advocating for strategies that enhance the longevity and sustainability of buildings while responding to future uncertainties. Full article

Background: Peripheral arterial disease (PAD) is a growing public health problem due to its high and increasing prevalence worldwide. PAD is responsible for several severe complications that affect the quality of life (QoL) of affected patients. Social determinants of health (SDHs) cover five areas: economic stability, education access, and quality, health care access and quality, neighborhood and built environment, and social and community context. This study aims to investigate SDHs-related outcomes to better understand their potential role in the lives of patients with PAD. Methods: A qualitative study has been conducted using semi-structured interviews to understand the role of SDHs in patients with PAD. Braun and Clarke’s method was used to guide the qualitative analysis of the data. Results: Twenty-seven patients were recruited to receive the interview, including twelve males (44.44%) and fifteen females (55.56%), with a mean age of 63.3 years old (a range of 50–87 years old). SDHs related to the five areas investigated significantly impacted PAD patient diagnosis and outcomes. Conclusions: Our findings suggest that physicians and vascular surgeons should consider SDHs impairments to recognize vulnerable patient populations and tailor treatment methods and follow-up protocols to their specific needs. Full article

Population aging is a pressing global issue. As it progresses, older adults’ demand for public transport will increase. Ensuring their equitable access is vital for social equity. Meanwhile, physiological changes and travel preferences in older adults create unique bus usage patterns, making them more susceptible to the built environment. To test this, we compared bus travel behavior between older adults and young people in Wuhan, China. Our results showed that older adults travel more often, with a longer morning peak and less pronounced evening peak. We developed the GWRBoost model, combining Geographic Weighted Regression (GWR) and eXtreme Gradient Boosting (XGBoost), to explore the spatial heterogeneity and nonlinear impact of the built environment on bus travel for both groups. The study found significant differences in how the built environment affects bus ridership between older adults and young people. For older adults, proximity to the nearest bus stop is most critical, regardless of weekday or weekend. These variables also show spatial variations and nonlinear relations with bus ridership for both groups. These findings improve our understanding of older adults’ travel and offer insights for optimizing their travel environment and promoting transportation equity. Full article

The impact of urban morphology characteristics on regional thermal environments is a crucial topic in urban planning and climate adaptation research. However, existing studies are often limited to a single dimension and fail to fully reveal the spatiotemporal impact mechanisms of multi-dimensional urban morphology on thermal environments and their connection to regional planning policies. This study focuses on the Guangdong–Hong Kong–Macao Greater Bay Area (GBA), combining quantitative data from landscape pattern indices, land use expansion patterns, and local climate zones (LCZs) derived from 2000 to 2020. By using geographically weighted regression and spatial autocorrelation analysis, we systematically explore the spatiotemporal effects and mechanisms of multi-dimensional urban morphology characteristics on regional thermal effects. We found the following points. (1) Built-up land patch density is significantly positively correlated with LST, with the urban heat island (UHI) effect spreading from core areas to the periphery; this corroborates the thermal environment differentiation features under the “multi-center, networked” spatial planning pattern of the GBA. (2) Outlying expansion mitigates local LST rise through an ecological isolation effect, and infill expansion significantly exacerbates the UHI effect due to high-intensity development, reflecting the differentiated impacts of various expansion patterns on the thermal environment. (3) LCZ spatial distribution aligns closely with regional planning, with the solar radiation shading effect of high-rise buildings significantly cooling daytime LSTs, whereas the thermal storage properties of traditional building materials and human heat sources cause nighttime LST increases; this reveals the deep influence of urban morphology mechanisms, building materials, and human activities on thermal environments. The findings provide scientific support for achieving a win–win goal of high-quality development and ecological security in the GBA while also offering a theoretical basis and practical insights for thermal environment regulation in high-density urban clusters worldwide. Full article

Urban areas globally are increasingly challenged by climate change, rapid urbanization, and environmental degradation, necessitating innovative solutions for sustainable development. Blue–Green Infrastructures (BGIs) have emerged as a promising approach, integrating water management systems with natural vegetative elements to create resilient urban landscapes. By fostering synergy between urban ecosystems and built environments, BGIs offer multifunctional benefits including flood mitigation, heat reduction, and biodiversity enhancement. This article examines the role of BGIs in boosting urban resilience, highlighting several exemplary projects in Spain in a qualitative and quantitative way that demonstrate its potential to transform urban areas into sustainable and adaptive spaces. Full article

This research examines the impact of government policy initiatives, community engagement programs, and age-friendly urban design policies on the built environment, with a specific focus on the walkability of older adults. The walkability of older adults in the built environment is essential because it promotes physical activity, social connectedness, and independence, thereby enhancing the overall quality of life and supporting healthy aging. This study employs a quantitative approach and cross-sectional design with convenience sampling in Udupi district, one of the urbanizing districts in India. The sample includes 333 older adults from diverse sociodemographic backgrounds who actively use the built environment. Structural equation modeling was used to test the hypotheses. The findings indicate that community engagement programs are the strongest enabler of safety and security perceptions related to walkability. Safety and security positively correlate with increased physical activity level, increased socialization level, and improved quality of life in older adults. Security also mediates the relationship between community engagement programs and all three outcomes associated with walkability. It highlights priority urban design features such as strategic lighting, sheltered walkways, traffic calming measures, barrier-free access, rest areas, and inclusive design elements as critical components of adaptive urban spaces that promote safety, accessibility, and social inclusion for older adults. Full article

In light of the challenges confronting urban areas due to increasing populations and spatial constraints, urban green infrastructure is vital for fostering environmental balance, enhancing community well being, and promoting sustainable urban development. This situation underscores the necessity for strategies that reconcile the escalating demand for constructed environments with the enhancement of urban green infrastructure in urban areas. This study seeks to empirically investigate an integrated spatial analysis approach that synthesises the quality of urban green infrastructure and land characteristics by incorporating diverse perspectives, utilising the Altstetten-Albisrieden district of Zurich as a case study. It systematically evaluates factors including development density, green surface coverage, leaf area, green ratio and connectivity, and the accessibility of public green spaces within the studied district. A 10-m rectangular grid was employed to visualise and integrate the evaluation results from different perspectives. Furthermore, clustering algorithms were utilised to generate spatial patterns indicative of unique land characteristics. By comparing the results from various clustering algorithms, this study adopted the fifteen clusters derived from the K-Means method, employing radar charts to describe the characteristics of each cluster, and partitioned the district into five zones to provide recommendations regarding the provision and optimisation of urban green infrastructure within the district. Ultimately, it highlighted the necessity of increasing community gardens and green spaces in densely built areas and leveraging existing structures to augment vegetation and plant life for the enhancement of ecological benefits. Full article

This study aims to assess the factors influencing homeowner behaviour regarding climate-adaptive renovations. This study extends the Theory of Planned Behaviour (TPB) by integrating additional factors such as inherent homeowner qualities (IHQs) and building attributes (BAs) to better capture climate-adaptive renovation decisions. Different configurations for the impacts of these additional factors were tested, and their correlation to homeowner attitudes (ATs) and homeowner intentions (INTs) was studied. The results indicate that attitudes related to beliefs about climate change impacts are the strongest predictors of climate-adaptive behaviour. It was also found that IHQ was a strong determinant of homeowner attitudes and had a strong indirect impact on homeowner intentions to perform climate-adaptive renovations. Given the significant role of cognitive attitudes in shaping climate-adaptive behaviours, policy interventions should focus on fostering more climate-conscious attitudes. Targeted public campaigns can highlight localised climate risks and the benefits of adaptive renovations. Sharing narratives from regions affected by severe climate events, potentially in the form of targeted workshop sessions, could make climate risks more tangible, especially for those without direct exposure, fostering greater public engagement and adaptive actions. Full article

Early Contractor Involvement (ECI) can offer significant benefits for construction projects. However, ECI is scarcely discussed in relation to place-of-worship projects, particularly those of minority communities. The Mandaeans are an ethnoreligious group that follow Mandaeism, a monotheistic religion. This article aims to discuss the necessity of a collaborative approach for their place of worship (Mandi). The literature will be reviewed on ECI, brief liturgical requirements in Mandaeism, and lastly barriers that minority communities face in the construction of their places of worship. The research methodology will be focused on a case study of Mandi Wallacia which will provide insights into the issues faced in the past. From this, it is seen that there are multiple issues that occur in place-of-worship construction for minority communities. It is evident that through this research, ECI and the relation of function and form must be harmonious to achieve the successful construction of places of worship. Full article

In today’s rapidly evolving transportation infrastructure, developing long-lasting, high-performance pavement materials remains a significant priority. Integrating machine learning (ML) techniques provides a transformative approach to optimizing asphalt mix design and performance prediction. This study investigates the use of waste plastics, including Polyethylene Terephthalate (PET), High-Density Polyethylene (HDPE), and Polyvinyl Chloride (PVC), as modifiers in asphalt concrete to enhance durability and mechanical performance. A predictive modeling approach was employed to estimate the bulk-specific gravity (G_mb) of asphalt concrete using various ML techniques, including Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), Gaussian Processes (GPs), and Reduced Error Pruning (REP) Tree. The accuracy of each model was evaluated using statistical performance metrics, including the correlation coefficient (CC), scatter index (SI), mean absolute error (MAE), and root mean square error (RMSE). The results demonstrate that the ANN model outperformed all other ML techniques, achieving the highest correlation (CC = 0.9996 for training, 0.9999 for testing) and the lowest error values (MAE = 0.0004, RMSE = 0.0006, SI = 0.00026). A comparative analysis between actual and predicted G_mb values confirmed the reliability of the proposed ANN model, with minimal error margins and superior accuracy. Additionally, sensitivity analysis identified bitumen content (BC) and volume of bitumen (V_b) as the most influential parameters affecting G_mb, emphasizing the need for precise parameter optimization in asphalt mix design. This study demonstrates the effectiveness of machine learning-driven predictive modeling in optimizing sustainable asphalt mix design, offering a cost-effective, time-efficient, and highly accurate alternative to traditional experimental methods. Full article

The smart capsule bubble tile (SCBT) is an innovative flooring solution that combines acupressure-based reflexology with electromagnetic wave stimulation to enhance well-being. Designed for smart buildings and healthcare applications, SCBT integrates traditional construction techniques with advanced healing technologies to create a health-conscious, eco-friendly flooring system. For durability and thermal performance, SCBT tiles are manufactured using conventional concrete methods, enhanced with aluminum oxide (Al₂O₃). Each tile contains multiple pressure point capsules featuring a copper cap that emits electromagnetic waves when exposed to sunlight. This dual-function mechanism stimulates acupressure points on the feet, promoting better blood circulation, reducing stress, and enhancing relaxation. The heat release from the copper caps further improves thermal comfort and energy flow in the body, reinforcing the benefits of reflexology. The performance of SCBT tiles was extensively tested, demonstrating impressive physical and functional properties. They exhibit a flexural strength of 4.6 N/mm², a thermal emissivity of 0.878, a solar reflectance of 0.842, and a water absorption rate of 8.12%. In biomechanical assessments, SCBT showed significant benefits for balance and posture correction. Users experienced a 70.8% reduction in lateral stance ellipse area with eyes open and a 50.5% reduction with eyes closed, indicating improved stability and proprioception. By integrating acupressure and electromagnetic stimulation into flooring design, SCBT promotes a holistic approach to health. This technology supports energy efficiency in smart buildings and contributes to preventive healthcare by enhancing musculoskeletal health and reducing fatigue. SCBT represents a significant step in creating built environments supporting human well-being, merging traditional healing principles with modern material science. Full article

Vegetation phenology greatly impacts urban development and climate change responses. However, research on phenological characteristics in small-scale urban areas is limited, especially concerning their spatiotemporal variations. This study analyzes the phenological indicators SOS, EOS, and LOS of urban vegetation in Suzhou from 2003 to 2022, utilizing Local Climate Zones (LCZs) and Urban–Rural Gradients (URGs) to explore their spatiotemporal variations and correlations with various LCZs and URGs. Subsequently, one-way ANOVA and the Honest Significant Difference (HSD) test are employed to compare the applicability of the two analytical methods. The results show that in Suzhou, SOS, EOS, and LOS exhibit trends of advancement, delay, and extension, with annual averages of 1.02 days earlier, 0.55 days later, and 1.57 days longer. Compared to land cover types, LCZ built types exhibit earlier SOS, later EOS, and longer LOS. As the urban gradient shifts from the city center to the suburbs, vegetation phenology shows gradually delayed SOS, advanced EOS, and shortened LOS. Additionally, phenological differences associated with LCZs are more significant and statistically relevant than those linked to URGs. The study confirms urbanization’s impact on vegetation phenology and provides new insights for future research. The findings assist in plant management, climate regulation, and living environment improvement, contributing to the sustainable development of resilient cities. Full article

Continuum modelling of progressive damage in finite element analyses of fibre-reinforced polymers (FRPs) has become a popular tool because of its computational efficiency and ease of implementation. However, two of the major limitations are (i) mesh size and mesh orientation dependencies and (ii) the transparent determination of suitable input parameters. This study presents a combination of genetic algorithms (GA) with nonlocal continuum damage models to overcome these limitations. The use of GA provides an objective calibration process of input parameters, while nonlocal averaging of computed strain fields enables consistent damage evolution in FRPs irrespective of the underlying finite element mesh. The simulation of compact compression and open-hole compression tests on IM7/8552 carbon-fibre-reinforced polymers validates the calibration process and demonstrates the advantages of nonlocal damage modelling over conventional local approaches. Full article

As the foundation of national development, the construction industry is one of the most hazardous industries in the world, facing safety challenges and high rates of work-related accidents, especially in developing countries such as Iran, where 35% of all industrial accidents are related to construction accidents. In the meantime, construction site layout (CSL) design is vital in improving safety and cost efficiency, but the lack of comprehensive frameworks has limited its effective application. Traditional methods also create inefficiencies and additional costs due to the lack of flexibility in the face of project-specific constraints and unpredictable conditions. Significant research gaps exist, especially in Iran, where socioeconomic and cultural factors affect construction methods. This study aims to identify and analyze the critical factors affecting CSL in developing countries and provides a comprehensive framework that integrates regional constraints with global best practices. The main criteria identified in order of priority are hiring skilled professionals (weight: 0.32), hazardous materials management (weight: 0.25), and using advanced technologies (weight: 0.18). We first conducted a Delphi survey with domain experts using a hybrid approach to identify and refine key factors. Next, we utilized the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and fuzzy logic to examine causal relationships among the factors. Additionally, we prioritized the factors based on their relative importance using the fuzzy analytic network process (FANP). This research provides a practical framework for CSL optimization that helps improve safety and reduce costs in construction projects. Full article

Urban green spaces (UGSs) for women align with the United Nations Sustainable Development Goals and contribute positively to women’s well-being. However, research on women’s preferences for green spaces is lacking. This study uses fuzzy-set qualitative comparative analysis to explore the causal complexity of multiple built environment characteristics that drive women’s preferences for UGS at different times. Results show that no single characteristic of the built environment is necessary and sufficient to determine women’s preferred UGS. Six configurational paths are identified as driving female preferences, among which time, security, and public service facilities have the strongest impact. This study aims to offer novel research perspectives and methodological support for the development of inclusive and sustainable UGS. Full article