Search Results (1,544)

Urban tourism communities activate local resources through spaces shared by residents and tourists, yet the inherent spatial overlap and functional complexity of these areas often generate conflicts. Existing research has predominantly focused on traditional scenic areas, heritage sites, or cities affected by overtourism, with comparatively little attention to urban tourism communities. This study draws on three tourism communities in Chongqing, China, employing street-intercept interviews and spatial analysis to investigate the forms and spatial characteristics of resident–tourist conflict. The findings indicate that such conflicts manifest across four dimensions: management conflict, economic conflict, resource and environmental conflict, and socio-cultural conflict. Conflicts are more likely to occur in areas where tourist activities intersect with residents’ daily routines, and different conflict types exhibit distinct spatial patterns. Furthermore, residents are more sensitive to these conflicts than tourists. By adopting a dual resident–tourist perspective, this study advances understanding of the tensions in high-density, high-mobility urban tourism communities and provides empirical insights to inform their sustainable development. Full article

This research investigates the development of a biophilic conceptual design proposal tailored to dementia care environments in South Korea, responding to the country’s rapidly aging population and the projected rise in dementia prevalence. The study integrates spatial and aesthetic strategies grounded in established biophilic design principles, including visual and non-visual connections with nature, thermal and airflow variability, dynamic and diffuse lighting, and the presence of water. Drawing on comparative case study analysis, the research emphasizes the therapeutic potential of nature-oriented environments in reducing stress, enhancing mood, improving physical health, and supporting cognitive function among residents with dementia. Emphasizing a human-centric perspective, the study also considers the experimental and behavioral needs of elderly users within the design process. In addition, it critically examines the challenges and limitations associated with implementing biophilic design strategies in architectural practice. Full article

Current evaluation of bypass graft performance relies predominantly on wall shear stress metrics, even though thrombosis and atherogenesis are fundamentally governed by particle transport and residence within disturbed flow regions. This disconnect limits the ability of conventional hemodynamic indicators to capture mechanisms directly linked to graft failure. In this study, we investigate how helical bypass geometry reorganises the flow and, consequently, modifies transport behaviour within the distal anastomosis by combining experimentally validated flow visualisation with computational fluid dynamics under pulsatile conditions. Particle transport was quantified using a controlled injection of 151 tracers, enabling direct assessment of retention and washout across the graft–anastomosis system. The straight configuration exhibited persistent recirculation structures that promoted localised particle retention and delayed clearance. In contrast, the helical geometry disrupted these structures, enhancing flow mixing and accelerating downstream transport. At late stages of the cardiac cycle, the helical configuration reduced residual particle retention by approximately 43% compared to the straight bypass. These findings demonstrate a transition from recirculation-driven retention to washout-dominated transport, providing a mechanistic basis for interpreting bypass performance beyond shear-based metrics. This transport-centred perspective provides a mechanistic link between flow organisation and particle residence, supporting the functional relevance of helical graft design while remaining distinct from direct modelling of biological thrombosis or atherogenesis. Full article

Weekday commuting and weekend recreation are two mobility domains through which urban spatial structure shapes residents’ well-being and urban functioning, yet direct empirical evidence on how they are related remains limited. This study investigates how weekday commuting costs and weekend recreational mobility conditions are related within a jobs–housing–recreation spatial framework, using individual-level location-based services (LBS) data from the central urban area of Chongqing, China. Generalized additive models reveal a nonlinear and range-dependent commuting–recreation relationship. Distance-based and driving-time specifications provide the main evidence for a U-shaped relationship, whereas transit-time specifications do not clearly reproduce this pattern, reflecting short-distance cost overestimation and spatially shared public-transport constraints rather than realised mobility conditions. From a spatial-configuration perspective, this pattern suggests that work-related and recreational mobility conditions are unevenly combined across residential locations, rather than simply aligned or opposed. It also suggests that relatively favourable commuting and recreational mobility conditions can coexist within some residential contexts. Rather than establishing a universal rule, the Chongqing case provides a testable hypothesis that may be relevant to large cities with uneven and partially aligned employment, housing, transport, and recreational opportunities. The study provides an empirical entry point for integrated spatial-performance diagnosis and future evaluation of alternative jobs–housing–recreation configurations. Full article

RGB-D salient object detection (SOD) aims to segment the most prominent objects from the background with a pair of given RGB and depth images. Existing RGB-D methods usually rely on heavy backbones to achieve high accuracy, while current lightweight methods struggle to maintain competitive performance. To break this intractable trade-off between effectiveness and model complexity, we propose a Lightweight Spatial-Frequency Collaborative Interaction Network (SFCINet), a unified and highly efficient framework. The core of SFCINet resides in the synergy between spatial-domain features and frequency-domain global priors. Specifically, we introduce the Spatial-Frequency Synergy (SFS) module, which shifts the perspective to a joint complex Fourier domain. By adaptively learning and optimizing the decoupled amplitude and phase components, it effectively isolates clutter to yield a purified global frequency-synergized prior, which modulates the spatial branches to eliminate cross-modal discrepancies for subsequent feature fusion while supplementing global information during decoding. To alleviate the interference caused by cross-modal representation discrepancies, we design the Cross-Guidance Interaction (CMGI) module, which employs a reciprocal anchoring mechanism. It guides the counterpart to mutually filter irrelevant noise and select task-relevant information, achieving fusion in an efficient manner. Finally, we present a Calibrated Hierarchical Decoder (CHD), which injects frequency-synergized global priors into the hierarchical decoding process. It re-establishes the connection between the frequency and spatial domains, ultimately achieving global-local consistency. Extensive experiments demonstrate that SFCINet delivers superior performance over state-of-the-art methods. Full article

The concept of subjective well-being among Orang Asli youth remains insufficiently understood due to limited empirical research on the community. Orang Asli youth represent a unique social group whose experiences are shaped by their culture, language, belief systems, and traditional lifestyle. These elements influence how well-being is perceived beyond economic indicators. Therefore, this study aims to explain the concept of subjective well-being among the Orang Asli Seletar youth. A case study research design was employed in this qualitative study. Twenty (20) informants aged 18 to 30 years, residing in Johor, participated in focus group discussions (FGDs) and in-depth interviews. This study’s findings identified seven (7) main themes related to the concept of subjective well-being among Orang Asli Seletar youth: (i) tranquility; (ii) happiness; (iii) comfort; (iv) sufficiency; (v) preferences; (vi) awareness; and (vii) satisfaction. In conclusion, this study provides a basis for understanding the subjective well-being of youth within the Orang Asli Seletar community. From the perspective of mainstream society, their lifestyle may appear modest and inadequate. However, this does not accurately reflect their true experience, as objective well-being should not be the sole measure of this community’s development. Greater emphasis on subjective well-being is essential to support this community’s thriving. Full article

As a typical model of urban green and sustainable micro-transportation, shared electric bicycles play a crucial role in short and medium-distance travel as well as in connecting with public transportation. To respond to the national concept of low-carbon travel, this study takes users of urban shared electric bicycles in Kunming, Yunnan Province as the research sample and distributes questionnaires online through the Wenjuanxing platform to conduct an investigation into the factors influencing residents’ short-term and long-term continuance usage intention of shared electric bicycles. The results of the ordered logit model show that: at the level of personal attributes, the number of family-owned electric bicycles exerts a negative impact on residents’ short-term and long-term willingness to continue using shared electric bicycles. In terms of travel attributes, travel frequency has a positive impact on residents’ long-term continuance usage intention of shared electric bicycles, while exerting little influence on their short-term continuance usage intention. As for the original travel modes, groups with the habit of walking show a rejection of shared electric bicycles. From the perspective of attitudinal perceptions, independent variables reflecting instantaneity characteristics such as riding speed, unlocking speed and easy electric bicycle returning have a promoting effect on residents’ short-term continuance usage intention; independent variables reflecting sustainability characteristics such as good endurance capacity contribute to residents’ long-term continuance usage intention, while the overall travel comfort has a positive effect on the continuance usage intention across all time periods. Based on the model results, this paper puts forward policy recommendations from four aspects to promote urban residents’ continuance usage intention of shared electric bicycles. Full article

Artificial Intelligence of Things (AIoT) is transforming Internet of Things (IoT) systems from cloud-centric data processing into distributed intelligence across device, edge, fog, and cloud tiers. However, existing reviews often emphasize specific computational layers, learning paradigms, or application domains rather than the cross-domain problem of Artificial Intelligence (AI) workload placement under real deployment constraints. This paper presents a structured integrative review of AI workload placement in AIoT, based on a multi-stage literature search, two-stage screening process, and thematic synthesis of 132 sources. The review does not propose a new physical architecture; instead, it develops a terminology-harmonized and AI-centric perspective for assessing where AI functions should reside according to latency, privacy, bandwidth, power, scalability, resilience, and model complexity. Evidence is synthesized across Industrial Internet of Things (IIoT), smart cities, Internet of Medical Things (IoMT), and smart agriculture. The findings show that placement drivers are domain-dependent: deterministic response and reliability dominate IIoT, interoperability and scale shape smart cities, privacy and human oversight constrain IoMT, and energy scarcity and intermittent connectivity define agriculture. The review concludes that robust AIoT requires hybrid multi-layer architectures combining Tiny Machine Learning (TinyML), edge/fog coordination, cloud-scale optimization, and Federated Learning (FL) where appropriate. Full article

Digital infrastructure is increasingly regarded as a key enabler of economic modernization and urban sustainability, but its sustainability implications depend on whether digitalization guides innovation activities toward greener technological directions. Against the backdrop of China’s “dual carbon” goals and the deepening of low-carbon transformation, this study examines the relationship between digital infrastructure development and the green orientation of urban innovation from the perspective of innovation structure. Using panel data for 284 prefecture-level cities in China from 2011 to 2023, we measure the share of green innovation by the proportion of green invention patents in total granted patents, and use broadband Internet access users per 100 residents, denoted as InternetRate, as a proxy for digital infrastructure development. A two-way fixed effects model is employed to investigate the empirical relationship between the two. The results show that digital infrastructure development is significantly negatively associated with the relative share of green innovation within total innovation. This finding remains robust to alternative functional-form specifications, extreme-value treatment, alternative measures of digital infrastructure, and alternative measures of green innovation structure, and remains directionally consistent in a supplementary instrumental-variable test. Decomposition of scale effects indicates that this negative association reflects the relatively faster expansion of non-green innovation rather than an absolute contraction in green innovation, suggesting a structural reallocation pattern within urban innovation activities. Heterogeneity analysis shows that the negative association is mainly concentrated in cities with lower levels of economic development and higher text-based environmental governance attention, and is more pronounced in cities with a lower degree of industrial servitization. Moderation analysis further shows that this negative association becomes weaker in cities with stronger local green fiscal support. Spatial analysis indicates that the share of green innovation exhibits significant spatial dependence; however, the association between digital infrastructure development and innovation structure is mainly localized, with no significant spatial spillover detected. These findings contribute to sustainability research by showing that digital infrastructure does not automatically improve the green composition of innovation and that sustainable digital transformation requires complementary green fiscal support, environmental governance, and industrial upgrading policies. Full article

In China, communities are the primary living environments for older adults, where the neighborhood environment is closely linked to their mental well-being (MW). Old urban residential communities commonly encounter problems including poor housing quality, inadequate public resources, and substandard living conditions. The association between such neighborhood environments and the MW of older adults is particularly worthy of examination. Therefore, based on empirical survey data from Nanjing, China, and from a subjective perception perspective, this study explores how the perceived neighborhood environment in old urban residential communities correlates with older adults’ MW. The findings indicate that both the perceived built environment (BE) and social environment (SE) are correlated with the MW of older adults. The BE has a stronger correlation with MW than the SE, which mediates the correlation between the BE and MW. The correlation between the neighborhood environment and MW is moderated by factors including age, residence type, and average monthly income. Among the component factors of neighborhood environment in old urban residential communities, housing quality, shopping convenience, neighborhood interaction, and community services show significant positive correlations with the MW of older adults. These findings provide valuable implications for the age-friendly renewal of old urban residential communities, the development of age-friendly communities, and the improvement in the subjective well-being of older adults in such communities. Full article

As key units in China’s new urbanization process, municipal districts exhibit distinct fire risk characteristics due to dense populations, concentrated infrastructure, and intensive socio-economic activities. Taking Xiaoshan District as an illustrative case of a highly urbanized and industrialized municipal district, this study analyzes fire incidents from 2020 to 2023 from temporal, spatial, and causal perspectives. During the study period, 5011 fire incidents were recorded, resulting in 3 deaths, 2 injuries, and direct property loss of 73.41 million CNY. The results indicate that highly urbanized and industrialized districts such as Xiaoshan may simultaneously face frequent fire occurrence pressure, relatively low casualty levels, and strong sensitivity to large-loss incidents. Temporally, fire occurrence was strongly coupled with human activity patterns rather than being dominated solely by seasonal factors. The period from 4 p.m. to 8 p.m. accounted for 32.47% of daily fire incidents, whereas only 9.10% occurred between 2 a.m. and 6 a.m.; however, early morning fires were associated with more serious property loss. Spatially, resident population and industrial output value above designated size were identified as the primary socio-economic factors associated with the spatial differentiation of fire incidents and direct property loss at the town/subdistrict scale. In terms of causation, electrical issues were the leading cause of fire incidents, accounting for 31.95% of fires and 32.92% of direct property loss. In addition, direct property loss attributed to “other” causes was disproportionately high, highlighting the need to improve the professionalism, granularity, and consistency of fire cause investigation. These findings provide case-based empirical evidence for refined fire prevention, electrical fire control, early warning, and targeted fire safety management in highly urbanized and industrialized districts with similar development conditions. Full article

Chronic respiratory diseases (CRDs) represent a significant global mortality burden, largely driven by viral-triggered exacerbations. In the elderly, susceptibility to viral pathogens is critically linked to the “interferon gap”—a kinetic delay in innate antiviral signaling resulting from immunosenescence and Th2-skewed inflammaging. While traditional vaccines provide pathogen-specific protection, their efficacy is often compromised by age-related immune hyporesponsiveness and antigenic drift. This perspective paper proposes a dual-phase, virus-agnostic immunomodulatory platform designed to restore mucosal immune competence and provide a rapid-response intervention for incipient exacerbations. Rather than acting as a pathogen-specific vaccine, the platform serves as a comprehensive host immune-rejuvenation engine and cellular adjuvant platform. The platform consists of two integrated stages: Allopriming and Alloantigen Inhalation Recall (AIR). Allopriming utilizes AlloStim^® (activated, allogeneic Th1 cells) to leverage the evolutionarily conserved allo-rejection response, establishing a lung mucosal reservoir of allo-specific Th1 tissue-resident memory cells (Trm). Building on previously published Phase I/II data showing that Allopriming reverses biomarkers of immunosenescence and sustains durable heterologous antiviral responsiveness, the AIR strategy is introduced as a patient-administered rescue mechanism for frail CRD patients. AIR is designed to activate pre-positioned Trm cells at the earliest onset of symptoms, inducing a high-magnitude IFN-γ surge in the lung mucosa. By bridging the senescent “interferon gap” with the rapid effector kinetics of Trm activation, this approach represents a novel paradigm toward reconstituting youthful-like antiviral mucosal immunity to both enhance vaccine efficacy in the elderly and protect against both seasonal pathogens and emerging viral triggers (“Disease X”) of CRD. Future randomized studies in long-term care settings are planned to evaluate clinical outcomes in high-risk populations. Full article

Digital nomads blur the boundaries between tourism, work, and temporary residence, yet little is known about how local businesses interpret this ambiguous population. This study examines how Greek SMEs classify digital nomads and how these classifications shape perceived business benefits and harms, support for protective policy guardrails, and firm-level adaptation intentions. Using survey data from 747 SME owner-managers and managers in tourism-linked and adjacent sectors, the study tests an integrated framework with PLS-SEM and multi-group analysis. The findings show that SME responses are interpretive rather than automatic. Residency-Based Visitor Beliefs positively predicted support for protective policy guardrails (β = 0.334, p < 0.001), but did not directly predict adaptation intentions. Perceived Touristness positively predicted both guardrail support (β = 0.110, p < 0.001) and adaptation intentions (β = 0.181, p < 0.001). Perceived Business Benefits was the strongest predictor of adaptation intentions (β = 0.390, p < 0.001), while Perceived Business Harms also increased both guardrail support (β = 0.175, p < 0.001) and adaptation intentions (β = 0.310, p < 0.001). Mediation results showed that the effects of Residency-Based Visitor Beliefs on adaptation were fully transmitted through benefits and harms, whereas Perceived Touristness operated indirectly only through harms. Multi-group analysis further revealed significant heterogeneity across firm size, years in operation, and tourism dependence. The study contributes to digital nomad and tourism research by introducing a business-side classification perspective and by linking classification, evaluation, and response in a single model. Overall, the findings show that whether digital nomads are classified as tourists by businesses has measurable implications for regulatory preferences and market adaptation. Full article

Rapid urbanization has intensified inequalities in the distribution of urban green resources, making green equity a critical concern within the framework of the United Nations Sustainable Development Goals. This study examines Zhangdian District in Zibo City, China, a representative “Whole-Area Park City” pilot area. This study integrates 1 km population density grid data with GIS network analysis, space syntax, population-weighted service pressure assessment, and a location–allocation model. Using these methods, it evaluates four categories of urban parks from the perspectives of spatial distribution, road connectivity, and social equity. The results reveal that vehicle and cycling modes achieved nearly complete 15 min coverage, whereas pedestrian accessibility remained insufficient. Walking accessibility for comprehensive parks reached 77.69%, whereas that of community parks and petty street gardens was below 33%. Population-weighted analysis further suggests that more than 78% of residents, concentrated in dense central–western neighborhoods, are served by only 21% of total park area. The Gini coefficient of per capita park area reached 0.4765, indicating substantial inequality in park green space allocation. After optimization through the addition of 76 new parks, improvements in road connectivity, and construction of a slow-traffic system, the Gini coefficient decreased to 0.4053, representing a 14.9% reduction. Meanwhile, the population below the national standard declined from 78.09% to 40.64%. These findings reflect spatial accessibility and area-based equity, while actual park service value also depends on park quality, facilities, and user behavior. This study provides quantitative evidence for equity-oriented park planning and a replicable framework for sustainable urban green space planning. Full article

Improving the comprehensiveness of old community renewal is a key approach to enhancing residents’ quality of life and the community environment. Currently, research on improving comprehensiveness from both supply and demand perspectives remains limited. This study constructs an evaluation system comprising 27 indicators that cover three dimensions: physical infrastructure, community services, and community governance. Adopting the approach of “single indicator, two-way assessment, and comprehensive evaluation,” this study conducts evaluations from both supply and demand perspectives. On the supply side, facility coverage is calculated through field surveys, POI data, and ArcGIS (10.8) spatial analysis; on the demand side, resident satisfaction is measured via questionnaires, and an evaluation framework for supply–demand matching is constructed using the IPA model. An empirical analysis using Community X in Beijing as a case study reveals that the completeness of community renewal exhibits significant hierarchical differentiation: supply–demand matching and conditions are favorable for basic services, elderly care and services for special groups, and cultural services; supply and demand for buildings, infrastructure, and public safety are balanced and moderately complete; environmental facilities exhibit oversupply and excessive completeness; and long-term management and resident participation suffer from insufficient supply and lack of completeness, emerging as core constraints. Based on these findings, targeted optimization strategies are proposed, which can provide scientific guidance for the development of comprehensive communities and the renewal of existing urban stock. Full article