Search Results (308)

The green renovation of existing residential buildings is a key way for the construction industry to achieve sustainable development and the dual carbon goals of China, which makes it urgent to make collaborative decisions among multiple stakeholders. However, because of divergent interests and risk perceptions among governments, energy service companies (ESCOs), and owners, the implementation of green renovation is hindered by numerous obstacles. In this study, we integrated prospect theory and evolutionary game theory by incorporating core prospect-theory parameters such as loss aversion and perceived value sensitivity, and developed a psychologically informed tripartite evolutionary game model. The objective was to provide a theoretical foundation and analytical framework for collaborative governance among stakeholders. Numerical simulations were conducted to validate the model’s effectiveness and explore how government regulation intensity, subsidy policies, market competition, and individual psychological factors influence the system’s evolutionary dynamics. The findings indicate that (1) government regulation and subsidy policies play central guiding roles in the early stages of green renovation, but the effectiveness has clear limitations; (2) ESCOs are most sensitive to policy incentives and market competition, and moderately increasing their risk costs can effectively deter opportunistic behavior associated with low-quality renovation; (3) owners’ willingness to participate is primarily influenced by expected returns and perceived renovation risks, while economic incentives alone have limited impact; and (4) the evolutionary outcomes are highly sensitive to parameters from prospect theory, The system’s evolutionary outcomes are highly sensitive to prospect theory parameters. High levels of loss aversion (λ) and loss sensitivity (β) tend to drive the system into a suboptimal equilibrium characterized by insufficient demand, while high gain sensitivity (α) serves as a key driving force for the system’s evolution toward the ideal equilibrium. This study offers theoretical support for optimizing green renovation policies for existing residential buildings in China and provides practical recommendations for improving market competition mechanisms, thereby promoting the healthy development of the green renovation market. Full article

Indoor navigation poses persistent challenges due to the limitations of traditional positioning systems within buildings. In this study, we propose a novel approach to address this issue—not by continuously tracking the user’s location, but by estimating their position based on how closely their observed behavior matches the expected progression along a predefined route. This concept, while not universally applicable, is well-suited for specific indoor navigation scenarios, such as guiding couriers or delivery personnel through complex residential buildings. We explore this idea in detail in our paper. To implement this behavior-based localization, we introduce an LSTM-based method for classifying user behavior patterns, including standing, walking, and using stairs or elevators, by analyzing velocity sequences derived from smartphone sensors’ data. The developed model achieved 75% accuracy for individual activity type classification within one-second time windows, and 98.6% for full-sequence classification through majority voting. These results confirm the viability of real-time activity recognition as the foundation for a navigation system that aligns live user behavior with pre-recorded patterns, offering a cost-effective alternative to infrastructure-heavy indoor positioning systems. Full article

This article presents an analysis on natural gas heating in residential areas, focusing on two primary systems: (1) local heating, where piped gas is delivered directly to individual dwellings equipped with autonomous gas boilers, and (2) district heating, where gas or an alternative fuel powers a central heating plant, and the generated heat is distributed to buildings via a thermal network. The choice between these systems should first consider safety and environmental factors, followed by the urban characteristics of the settlement. In particular, building typology—such as size, function, and spatial configuration—and urban topology, referring to the relative positioning of buildings, play a crucial role. For example, very tall buildings often exclude the use of piped gas due to safety concerns, whereas in other cases, economic efficiency becomes the determining factor. To support decision-making, a comparative cost analysis is conducted, assessing the required infrastructure for both systems, including pipelines, boilers, and associated components. The study identifies representative residential building types in selected urban areas of Serbia and Czechia that are suitable for either heating approach. Additionally, the article examines the broader energy context in both countries, with emphasis on recent developments in the natural gas sector and their implications for urban heating strategies. Full article

Background/Objectives: The role of environmental modifications and design in mitigating behavioural symptoms is increasingly being recognised as a way to address the psychosocial needs of individuals with dementia. This study aims to investigate various nature-based interventions for reducing agitation in people with dementia in long-term residential care environments. Methods: Database searches were conducted on MEDLINE, PsycINFO, Scopus, and Web of Science. A literature search was conducted with the following inclusion criteria: (i) peer-reviewed journal publication written in English; (ii) random controlled trials (RCTs) and quasi-experimental design with results for pre- and post-testing reported; (iii) interventions using natural elements, where the effectiveness of the reduction in agitation was measured using a validated instrument; and (iv) participants aged 65 and older with dementia residing in long-term care facilities. Results: This meta-analysis included 29 studies with 733 participants. The results showed that such interventions had a significant negative mean effect on lowering agitation in this population. Additionally, intervention settings (indoor vs. outdoor) and the presence of social interaction were significant predictors of the effect size for agitation reduction. At the same time, no significant differences in effect size were observed between the types of experiences with nature (indirect vs. direct) or the duration of the interventions. Conclusions: This study demonstrates that, when thoughtfully applied, nature-based interventions can significantly alleviate agitation in patients with dementia residing in long-term residential care facilities. This review lays the groundwork for future research aimed at developing design guidelines and planning strategies to integrate natural elements into dementia-friendly environments effectively. Full article

Background/Objectives: Metabolic syndrome (MetS) in adolescence increases chronic disease risk in adulthood. No study has explored the combined effects of skeletal muscle strength and dietary patterns in MetS. This study aimed to examine the individual and combined effects of dietary patterns and HGS on MetS and its components in Korean adolescents. Methods: Using the 2014–2019 Korea National Health and Nutrition Examination Survey data, a weighted sample of approximately 3.75 million adolescents was included. Dietary patterns were derived using principal component analysis. Relative handgrip strength (HGS) was calculated. Multivariable logistic regression and relative excess risk due to interaction (RERI) were used to assess dietary patterns, HGS, and MetS, stratified by sex and adjusted for age, smoking, alcohol consumption, economic status, residential area, and physical activity. Results: Low HGS was independently associated with a high odds of developing MetS in both men (OR, 1.108; 95% CI, 1.038–1.182) and women (OR, 1.128; 95% CI, 1.047–1.216). In contrast, dietary pattern alone was not significantly associated with MetS. Men with both low HGS and unhealthy dietary patterns (processed fat or Western diet) had higher odds of developing MetS, even though the interaction was sub-additive, as indicated by negative RERI values (processed fat: −0.22; Western diet: −0.11). Conclusions: Low HGS was a significant risk factor for MetS in Korean adolescents. Although no synergistic interaction was observed, low HGS remained a significant independent risk factor for MetS, underscoring the need to promote muscular strength in adolescents even in the absence of an unhealthy diet. Full article

Introduction: Based on data from the China Health and Retirement Longitudinal Study 2020 (CHARLS 2020), we analyzed the effects of physical activity (PA) on chronic diseases and depression symptoms in older adults in urban and rural areas and examined differences by residential location. Methods: A total of 5481 individuals aged 65 years and above were selected from the CHARLS 2020 dataset. Descriptive statistics, chi-square tests, two-way analysis of variance, and Pearson’s correlation analysis were used to examine the influence of different intensities of PA on chronic diseases and depression symptoms. According to PA recommendations, PA participants were individuals who engaged in PA two or more times per week, while non-participants engaged in PA fewer than two times per week. Results: Urban and rural older adults showed different patterns in PA participation and its health impacts. Urban residents were more likely to engage in high-intensity PA, which was related to lower prevalence of chronic diseases and fewer depressive symptoms; moderate-intensity PA was also effective in relieving depressive symptoms. In contrast, rural residents primarily participated in low-intensity PA, which had some effect in alleviating depression symptoms but limited impact on chronic diseases. Conclusions: Public health interventions should be tailored to regional differences. In rural areas, the promotion of appropriate PA programs is essential to improve overall health, while urban areas should emphasize mental health strategies, social engagement, and support network development. Full article

The optimization of land development requires a deep understanding of end-user expectations to ensure that new residential environments are both market-responsive and socially sustainable. This paper presents a novel prioritization-based technique for identifying and ranking property features according to buyer preferences. Using the MoSCoW method in combination with conjoint analysis, the study evaluates the relative importance of various housing attributes, such as layout, number of rooms, access to transportation, and availability of parking or green areas. The results provide structured insights into demand-side priorities and offer actionable guidelines for developers, urban planners, and decision-makers engaged in land use planning. By linking individual housing preferences with broader planning strategies, the proposed framework contributes to the creation of better-aligned, user-centric urban developments. The approach is tested on a local property market, and its potential applications in strategic zoning, infrastructure placement, and residential density modeling are discussed. Full article

Electric vehicles (EVs) are gradually gaining high penetration in transportation due to their low carbon emissions and high power conversion efficiency. However, the large-scale charging demand poses significant challenges to grid stability, particularly the risk of transformer overload caused by random charging. It is necessary that a coordinated charging strategy be carried out to alleviate this challenge. We propose a hierarchical charging scheduling framework to optimize EV charging consisting of demand prediction and hierarchical scheduling. Fuzzy reasoning is introduced to predict EV charging demand, better modeling the relationship between travel distance and charging demand. A hierarchical model was developed based on NSGA-II, where the upper layer generates Pareto-optimal power allocations and then the lower layer dispatches individual vehicles under these allocations. A simulation under this strategy was conducted in a residential scenario. The results revealed that the coordinated strategy reduced the user costs by 21% and the grid load variance by 64% compared with uncoordinated charging. Additionally, the Pareto front could serve as a decision-making tool for balancing user economic interest and grid stability objectives. Full article

Buildings account for about a third of global energy and it is thus imperative to eliminate the use of fossil fuels to power and provide for their thermal needs. Solar photovoltaic (PV) technology can provide power and with electrification, heating/cooling, but there is often a load mismatch with the intermittent solar supply. Electric batteries can overcome this challenge at high solar penetration rates but are still capital-intensive. A promising solution is thermal energy storage (TES), which has a low cost per unit of energy. This review provides an in-depth analysis of TES but specifically focuses on phase change material (PCM)-based TES, and its significance in the building sector. The classification, characterization, properties, applications, challenges, and modeling of PCM-TES are detailed. Finally, the potential for integrating TES with PV and heat pump (HP) technologies to decarbonize the residential sector is detailed. Although many studies show proof of carbon reduction for the individual and coupled systems, the integration of PV+HP+PCM-TES systems as a whole unit has not been developed to achieve carbon neutrality and facilitate net zero emission goals. Overall, there is still a lack of available literature and experimental datasets for these complex systems which are needed to develop models for global implementation as well as studies to quantify their economic and environmental performance. Full article

Energy and environmental policies in the sector of buildings aim to achieve climate targets while ensuring affordable energy services for households. This study uses the Greek residential sector as a case study and focuses on energy poverty, examining both established and novel energy poverty indicators for its measurement, analyzing the key determinants of energy poverty, and developing statistical models to identify energy-poor households. The same models are also used for assessing the effectiveness of policies and measures implemented or planned to address energy poverty with a view to develop synergies with policies aiming to reduce greenhouse gas emissions. Energy poverty levels in Greece ranged from 8.4% to 19.6% in 2021, depending on the energy poverty measure used. The evaluation of the policies aiming at tackling energy poverty showed that deep energy renovations, combined with space heating system upgrades, can reduce energy poverty by 69–99%. Shallow energy renovations and upgrades of space heating systems, implemented either individually or in combination, are less effective. Finally, while the various subsidy schemes for vulnerable households do not significantly affect energy poverty levels, they play a critical role in alleviating the depth of energy poverty and improving the quality of energy services provided to households. Full article

Amid rapid urbanization and climate change, global urban water consumption, particularly household water use, has continuously increased in recent years. However, the impact of climate change on individual and household water use behavior remains insufficiently understood. In this study, we conducted tracking surveys in Beijing, China, to determine the correlation between climatic factors (e.g., temperature, precipitation, and wind) and household water use behaviors and consumption patterns. Furthermore, we proposed a genetic programming-based algorithm to identify and quantify key meteorological factors influencing household and personal water use. The results demonstrated that water use is mainly affected by temperature, particularly the daily maximum (TASMAX) and minimum (TASMIN) near-surface air temperature. In addition, showering and personal cleaning account for the largest proportion of water use and are most affected by meteorological factors. For every 10 °C increase in TASMAX, showering water use nonlinearly increases by 3.46 L/d/person and total water use nonmonotonically increases by 1.14 L/d/person. When TASMIN varies between −10 °C and 0 °C, a significant change in personal cleaning water use is observed. We further employed shared socioeconomic pathway scenarios of the Coupled Model Intercomparison Project 6 to forecast household water use. The results showed that residential water use in Beijing will increase by 21–33% by 2035 compared with 2020. This study offers a groundbreaking perspective and transferable methodology for understanding the effects of climate change on household water use behavior, providing empirical foundations for developing sustainable water resource management strategies. Full article

Background: The role of dietary patterns in the development of chronic obstructive pulmonary disease (COPD), particularly under varying levels of ambient air pollution, remains insufficiently understood. Aims: We aimed to investigate the association between adherence to multiple established dietary patterns and the risk of incident COPD, and to assess potential effect modification by exposure to ambient air pollutants. Methods: We conducted a prospective study including 206,463 participants from the UK Biobank free of COPD at baseline. Individual-level residential air pollution exposure was estimated for the year 2010. Nine dietary indices were derived from 24 h dietary recalls. Associations with incident COPD were assessed using Cox proportional hazards models. Effect modification was examined using smoking-specific tertiles of nitrogen oxides (NO, NO₂, and NO_x) and particulate matter (PM_2.5, PM_2.5–10, and PM₁₀). Results: Greater adherence to healthy dietary patterns was associated with a 14% to 34% reduced risk of COPD (highest vs. lowest quintile). In contrast, high adherence to the Unhealthful plant-based diet index (PDI) was associated with a 34% increased risk (HR = 1.34, 95% CI: 1.16–1.54). Notably, the protective associations of the AHA, EAT-Lancet, and MIND dietary patterns were most pronounced in settings with relatively high air pollution, as evidenced by elevated levels in at least four air quality indicators (p for interaction < 0.05). Conclusions: Adherence to AHA, EAT-Lancet, and MIND dietary patterns is associated with a reduced risk of incident COPD, with potentially amplified benefits observed in areas with higher ambient air pollution. Full article

Urban landscapes are capable of responsive urban development that optimises the quality of Urban Green Space (UGS) for advanced function as a matter of efficient and convenient knowledge management. As a theory for positive outcomes for urban landscapes substantiated by refined wilding, functional urban biodiversity can optimise the use of cross-disciplinary knowledge sets, leading to more efficient design and policy for UGS that accommodates human health and the natural-environment in urban landscapes. This optimisation is complementary to the smart cities concept, offering convenience, efficiency, and quality of life, and can ensure that sustainable urban development advances with smart cities. The smart cities concept has, over the last decades, developed to integrate sustainability and UGS. This article suggests and finds that refined wilding could provide conceptual guidance for smart cities, as a concept, component model, and planning process, and for smart city devices and technologies, with functional biodiversity as an aim and positive outcome for different UGS types, including residential gardens, which are at an individual level of initiative, responsibility, and choice, and public UGSs which are more likely to be top–down-designed and -implemented. Using a literature review and conceptually framed analysis, functional biodiversity in UGS is found to positively contribute to the smart cities concept by encouraging the efficient use of advanced knowledge sets from various disciplines for the topic of UGS. This article finds that refined wilding supports and furthers ideas like the importance of the quality of UGS as compared to the quantity, the advantages of high-quality and advanced-function UGS as compared to the disadvantages of less functional UGS, and how wild-refined UGS furthers or complements and supports more advanced ideas for UGS. The recommendations for future directions give further examples of advances in refined wilding for sustainable smart cities. The focus on the quality of UGS and advanced function brings refined wilding for functional biodiversity to smart cities with efficiency and convenience in urban development and sustainability terms. Full article

Background/Objectives: The outbreak of coronavirus disease 2019 (COVID-19) has restricted access to healthcare, increasing the risk of poor disease control among patients with COPD (Chronic Obstructive Pulmonary Disease). This study aimed to compare adherence to inhalers in patients with COPD before and during the COVID-19 lockdown and determine the characteristics of patients who were adherent to inhaler medications. Method: A retrospective analysis was conducted on a cohort of patients with severe COPD aged 40 or older using South Korea’s National Health Insurance Service (NHIS) database, which documents all healthcare utilization covered for insured individuals. Medication adherence, measured by the proportion of days covered (PDC), was compared before and during the COVID-19 lockdown using a paired t-test. A multivariable logistic regression model was conducted to identify the characteristics of the adherent patients (socio-demographic, including age, sex, income level, insurance type, and residential area), health-conditions (disease severity, underlying diseases, and disability), and pharmacotherapy characteristics (prescriber practice setting, polypharmacy, medication treatment duration, and inhaler type). Result: A total of 15,971 COPD patients were identified (79.2% men). During the COVID-19 lockdown in 2020, there was a significant decrease in medication adherence to COPD inhalers compared to 2019 (49.8% in 2020 vs. 56.3% in 2019, respectively; p < 0.001). Moreover, the proportion of those adherent (≥80%) during the COVID-19 lockdown decreased (22.0% → 18.0%). Patients who remained adherent to inhaler therapy during the COVID-19 lockdown were typically aged in their 60s, beneficiaries of Medical Aid, residents of rural areas, clinic users, and patients without cardiovascular disease. Conclusions: Patients with COPD encountered significant challenges in accessing inhalers during the COVID-19 lockdown. Healthcare authorities should develop targeted strategies to ensure continued medication access for patients at increased risk of poor medication adherence, particularly during periods of restricted healthcare access, such as public health emergencies or pandemic lockdowns. Full article

Achieving carbon neutrality in the building sector is essential for addressing the global climate crisis. However, the production stage—which contributes to over 29% of a building’s life cycle carbon emissions (CE)—poses significant challenges for consistent carbon performance assessment due to the diversity of building materials and the uniqueness of individual building projects. These factors often lead to inconsistent evaluation results across assessors and the fragmented management of carbon data at the project level. This study proposes the Zero Carbon Building Index (ZCBI), a quantitative assessment method that incorporates embodied carbon from raw material extraction, transportation, and manufacturing. ZCBI enables the evaluation of carbon neutrality performance at the material level and supports the identification of reduction potentials in the production stage. A classification system was developed to evaluate CE during production, creating reference buildings for residential and non-residential purposes. Additionally, a Korean Environmental Product Declaration (EPD) database was established by incorporating CE data from 797 EPD-certified materials. Carbon reduction (CR) and ZCBI values were analyzed by categorizing CE variations across manufacturers into the lowest, average, and highest values. The results showed that CR for apartment complexes ranged from 42.1 to 311 kgCO₂e/m², with ZCBI values between 8.84% and 65.30%, and those for business facilities ranged from 40.9 to 264 kgCO₂e/m², with ZCBI values from 8.59% and 55.43. The proposed ZCBI framework provides a basis for optimizing material selection to reduce emissions and may evolve into a comprehensive carbon neutrality assessment covering the entire construction process. Full article