Search Results (1,327)

Since At-Turaif’s inscription as a World Heritage Site in 2010, Al-Diriyah and its peripheries have witnessed massive urban development. With the recently proposed Wadi Safar project, the expansion of Al-Diriyah has taken another turn, as it is conceptualized as a luxury driven mixed-use district, integrating cultural experiences that are rooted in the past. This research examines the urban development of Al-Diriyah through the lens of the Experience Economy Model (1998), in which value is derived not just from objects or spaces but from the memorable and immersive experiences they tend to incorporate. This study employs a qualitative-case study methodology structured through a five-phase analytical framework that spans from 2010 to 2025/2030. Utilizing a deductive qualitative approach, the analysis demonstrates a differentiated application of the four experiential realms of the Experience Economy Model across the study sites. While At-Turaif predominantly engages two experiential dimensions and the broader regeneration of Al-Diriyah incorporates three, the planned development of Wadi Safar is designed to encompass all four dimensions of the Experience Economy. This configuration produces a balanced spectrum of active and passive participation as well as absorption and immersion, positioning Wadi Safar within Al-Diriyah’s broader transformation into the world’s largest heritage-led urban development. The findings contribute to the theme of a thriving economy of KSA Vision 2030 by advancing heritage-oriented experience as a pathway towards economic diversification. Full article

Traditional markets play an important role in the exchange of plant resources and the preservation of traditional food knowledge. This study documents the diversity of food plants traded in Renmin Market, located in Youjiang District, Baise City, Guangxi, China, and evaluates their cultural importance using the Cultural Food Significance Index (CFSI). Field surveys were conducted through market observations and interviews with vendors and local informants. All edible plant species were recorded, including their scientific names, vernacular names, used parts, and modes of consumption. A total of 104 food plant taxa were documented, representing a wide range of plant families and growth forms. The recorded plants were used in four main utilization categories: vegetables, spices, fruits, and beverages. Frequently used plant parts included fruits, leaves, shoots, and underground organs such as roots, rhizomes, and tubers. The CFSI values showed considerable variation in cultural importance among species, ranging from 21.6 to 1764. The highest CFSI values were recorded for Cucurbita pepo, Allium cepa, Cucurbita maxima, and Houttuynia cordata, reflecting their frequent consumption and versatility in local cuisine. Comparative analysis with previous studies in Baise City indicated that 38 species were shared among three markets, while 30 species were recorded exclusively in Renmin Market. These findings highlight the diversity of food plants available in local markets and their importance in maintaining regional culinary traditions and plant-based dietary diversity. Full article

The accurate measurement and optimization of spatial vitality inside commercial complexes has become crucial for sophisticated urban governance as urban growth moves from rapid expansion to quality-oriented stock augmentation. This research creates a multifaceted assessment methodology that incorporates systemic connectedness (transportation synergy), spatial performance (public activity and social efficacy), and spatial supply (human–land linkages and arrangement). We used a stratified purposive sample of 20 business complexes spread across eight districts in Guangzhou, a typical high-density megacity. In order to understand the underlying mechanisms of spatial vitality, we measured important indicators including the Polycentricity Index (α) and the Spatial Performance Index (β) using a mixed-methods approach that included K-means clustering, multinomial logit regression, and Structural Equation Modeling (SEM). Four important insights are shown by our findings. 1. The paradox of density and efficiency: The notion that high-density development inevitably ensures lively public space is called into question by the lack of a significant linear correlation between the Floor Area Ratio (FAR) and spatial performance (r = 0.32, p > 0.05), despite a core–periphery gradient in development intensity. 2. Structural Supply Demand Mismatch: Although overall spatial performance is strong (β = 0.81 ± 0.07), there is a notable shortfall in cultural and artistic venues, where young adults’ demand (0.27) is 145% greater than supply (0.11). 3. Polycentric Networking vs. Transport Polarization: While spatial structures show a networked polycentric pattern (mean α = 6.40), transportation synergy is affected by core–periphery polarization, which results in “vitality islands” in the periphery. 4. Dual-Path Driving Mechanisms: According to SEM results, cultural spaces have a considerable indirect impact (39.7% mediation) by boosting brand uniqueness and “cultural capital,” while composite plaza spaces have a strong direct effect on commercial performance (γ = 0.682). Based on these findings, we suggest distinct optimization strategies: aging projects need climate-responsive design interventions; growing areas should create family-oriented consumption ecosystems; and core districts should give priority to cultural “IP” integration. For the planning and revitalization of commercial land use in high-density global environments, this study offers a solid analytical framework and practical insights. Full article

Accurate extraction of crop planting structures is important for crop area and yield estimation, but complex and fragmented cropping patterns with overlapping phenology in the Hetao Irrigation District hinder reliable crop discrimination. This study proposes a hierarchical workflow that integrates vegetation masking with multi-source feature optimization for crop mapping. First, dual-temporal Sentinel-2 imagery (May and August) is used to generate a vegetation region-of-interest(ROI) mask via Otsu thresholding applied to the Normalized Difference Vegetation Index (NDVI), combined with pixel-wise maximum-value fusion to reduce phenology-driven omissions and background interference. Second, within the vegetation mask, Sentinel-2 spectral, vegetation-index, and texture features are combined with Sentinel-1 synthetic aperture radar (SAR) backscatter and SAR texture features to construct a multi-source feature set. Random Forest(RF) feature-importance ranking is used to select an effective feature subset, and four classifiers (RF, support vector machine (SVM), eXtreme Gradient Boosting (XGBoost), and convolutional neural network (CNN)) are compared under the same training/validation setting. The vegetation extraction achieves an overall accuracy of 91% (Kappa = 0.80). Using Sentinel-2 features only, the optimized subset with CNN attains the best performance (overall accuracy = 95%, Kappa = 0.93). Adding Sentinel-1 SAR texture features provides an additional improvement (overall accuracy = 96%, Kappa = 0.94), particularly for classes prone to confusion in fragmented plots. Area proportions derived from the final map are consistent with statistical yearbook data (percentage errors: maize 3.45%, sunflower 2.66%, wheat 0.11%, tomato 0.92%) under the study conditions. This workflow supports practical crop-structure monitoring in complex irrigation districts. Full article

Against the backdrop of accelerating urbanization and population aging, urban parks have emerged as significant venues for enhancing the physical and mental well-being of older adults. The age-friendly quality of these spaces is directly linked to health equity and urban inclusiveness. Using the high-density historic district of Beilin in Xi’an as a case study, we developed an innovative assessment tool to evaluate the age-friendliness of park walking environments. Guided by the Health Impact Assessment (HIA) framework, this tool integrates subjective perceptions and objective data to diagnose environmental strengths and weaknesses across four dimensions: accessibility, safety, comfort, and health-related interactivity. Based on multi-source data and quantitative analysis, the study revealed key variations in the age-friendly attributes of different parks. Our field assessment focused on three representative park types: urban comprehensive, historic–cultural, and community leisure parks. The key findings are: (1) Safety was perceived by experts as the most critical dimension for older adults’ health experience, with a weight of 0.49, accounting for nearly half of the total. However, significant variations exist in safety quality across different types of parks. (2) Age-friendly performance differed profoundly among park types. Benefiting from systematic management, the urban comprehensive park achieved balanced performance and a total score of 84.87. In contrast, the historic–cultural park, constrained by its linear morphology and historical functions, scored the lowest at 66.03, exhibiting notable deficits in safety and comfort. The community leisure park, while vibrant in community activity, attained an intermediate score of 74.76 due to insufficient attention to safety details. (3) The assessment outcomes highlight the association of park typology, site selection, and design sophistication with the lived experience and potential health benefits for older adults. This study provides a refined evaluation tool and tailored optimization strategies for the age-friendly renovation of diverse park types. Full article

On 6 February 2023, two major earthquakes occurred approximately nine hours apart in the Pazarcık (M_w = 7.7) and Elbistan (M_w = 7.6) districts of Kahramanmaraş, Türkiye. These devastating earthquakes caused extensive damage in many cities in the region. Kahramanmaraş and Malatya were among the cities most severely affected. Therefore, Kahramanmaraş and Malatya were chosen for this study. The aim was to investigate the effects of the earthquakes on the city centers of the selected cities. Reinforced concrete buildings of four, six, eight, and 10 floors were designed in accordance with Türkiye seismic codes. Linear response spectrum analysis (LRSA) was applied to these buildings according to the Türkiye Earthquake Code 2018 (TEC-2018), the Türkiye Earthquake Code 2007 (TEC-2007), and the Eurocode 8 (EC8). In addition, acceleration records of the 2023 Kahramanmaraş earthquakes were obtained from accelerometer stations near the city centers of the aforementioned cities. Nonlinear time history analysis (NTHA) was performed on sample buildings using these acceleration records. As a result of these analyses, base shear forces and roof displacements were obtained. Design acceleration spectra were obtained according to the Türkiye earthquake codes and the Eurocode 8. Acceleration spectra of the earthquakes were also obtained based on the acceleration records of the earthquakes. A comparison was made between TEC-2007, TEC-2018, and EC8 based on the LRSA calculation results. The calculations show that TEC-2018 is more detailed and realistic than TEC-2007. Furthermore, it was determined that the values obtained according to EC8 were greater than the values obtained according to TEC-2007 and TEC-2018. The results obtained from LRSA and NTHA were compared. It was determined that the results obtained from NTHA were much larger than those obtained from LRSA. Full article

As urbanization accelerates in China, the protection and renewal of historical and cultural districts have become key issues. The Beiyuanmen Historical and Cultural District in Xi’an, with its long history and cultural significance, is a prime example. This study uses Beiyuanmen as a case study, employing Baidu heatmap data, Point of Interest (POI) data, and space syntax theory to examine the district’s spatial layout, crowd activity distribution, and functional structure. The purpose is to quantify its vitality and spatial characteristics, providing a basis for scientific planning. The methods involve analyzing spatiotemporal crowd activity intensity via heatmaps, assessing street network configuration through integration and choice values, and comparing POI data from 2014 and 2024 to track functional evolution. The research identifies the distinctive spatiotemporal patterns of crowd activity, revealing not only a southeast concentration correlated with urban functions but also distinct diurnal rhythms—a bimodal pattern on weekdays versus a sustained leisure-oriented pattern on weekends, underscoring a functional shift. It also explores the directed permeability of the spatial structure, identifying streets like Miaohou Street that form a highly integrated “cross-shaped backbone”. Analysis of POI data shows that commercial services dominate and have expanded outward, with the growth rate of POI density in the control area surpassing that of the core, indicating a trend of functional diffusion. Finally, the study highlights Miaohou Street, Beiguangji Street, Damai Market Street, Beiyuanmen, and Sajinqiao as key areas, and it concludes by proposing integrated planning recommendations that focus on four strategic aspects—spatial and crowd activity distribution management, functional zoning guidance, enhancement of public services and cultural displays, and alignment with broader urban policies—for prioritized landscape enhancement and tourism. Full article

Evaluating pedestrian comfort in high-density cities requires methods integrating subjective experience with urban morphology. This study develops an integrated framework combining pairwise comparison scoring, semantic segmentation (DeepLabv3+), ensemble learning (Random Forest), and SHAP-based interpretability. EfficientNet-B7 is used to expand pairwise datasets and derive continuous comfort scores across Macau’s street network. Four experiential street types are identified: historical–cultural districts, urban lifestyle areas, natural corridors, and leisure zones. SHAP analysis illustrates stable associations between predicted comfort scores and multi-layered spatial configurations, including cultural legibility and sequencing in historic cores, moderate greenery with functional anchoring in residential areas, and scene coherence in tourism zones. Semantic features serve as effective morphological proxies within the modeling framework. Methodologically, the framework demonstrates how explainable machine learning can be applied to dense Asian cities under observational conditions. Design implications emphasize interface continuity, microclimate adaptation, and functional enrichment, suggesting that pedestrian comfort is closely related to coherent spatial–experiential structures rather than isolated environmental upgrades. Full article

Fire suppression in the upper U.S. Midwest has led to the expansion of flammable coniferous ladder fuels, necessitating precise tracking of conifer species basal area (BA) for fire risk management. This study benchmarks four subset-selection pipelines—xPLS, GA-xPLS, RF-xPLS, and SVR-xPLS—to optimize the fusion of high-dimensional, collinear data from Sentinel-2, Landsat-9, and LiDAR sensors. Using 141 field plots in Minnesota’s Kawishiwi Ranger District of the Superior National Forest, we evaluated 175 predictors against eight BA response variables. Results show that RF-xPLS provided the superior accuracy–parsimony trade-off, achieving the highest pooled R² (≈0.86) and lowest error with a compact 27-predictor block. GA-xPLS ranked second, excelling for specific species such as Pinus resinosa. The most effective predictors combined SWIR-based moisture indices, red-edge/NIR structure, and a single LiDAR-derived surface of vertical-structure (quadratic mean height). Our findings demonstrate that integrating machine learning selection engines with multi-sensor fusion substantially enhances the scalability and precision of forest inventory and fuels monitoring. This comparative framework offers practical insights for sustainable management and fire risk mitigation in northern temperate–boreal forests. Full article

Enterocytozoon bieneusi is a microsporidian species found ubiquitously in both invertebrate and vertebrate hosts including domestic and wild animals and humans. Enterocytozoon bieneusi typically causes severe or chronic diarrhea, malabsorption and emaciation. This study aimed to investigate the prevalence and genotypic distribution of E. bieneusi in dogs in Fujian province, China. A total of 506 fecal samples from dogs were randomly collected from eight districts in Fujian province, China. The presence of E. bieneusi was confirmed through nested PCR targeting ITS gene. Further multilocus sequence typing (MLST) focused on the three microsatellite loci (MS1, MS3, and MS7) and minisatellite locus (MS4) loci. As a result, the infection rates of E. bieneusi in dogs were found to be 5.93% (30/506). A highly significant difference in the prevalence of E. bieneusi was observed across different urban areas (p < 0.01), with Longyan city exhibiting the highest infection rate (24.62%, 16/65), Zhangzhou and Xiamen the lowest (0.00%). Prevalence also varied significantly by source (p < 0.01), age (p < 0.01), gender (p < 0.05), symptom status (p < 0.01), and season (p < 0.01). Three known genotypes of E. bieneusi were identified in 30 dogs’ positive samples, including EbpC, PigEBITS5 and PtEb IX, whereas FJLYD1, FJLYD2 and FJSMD have been identified as new genotypes. EbpC, PigEBITS5, FJLYD1, FJLYD2, and FJSMD all belong to Group 1, while PtEb IX is assigned to Group 11. Genotypes belonging to Group 1, the first major phylogenetic clade, are considered to possess potential zoonotic risks. None of the positive samples amplified at all four loci, forming a single multilocus genotype (MLG). This study contributes to a deeper understanding of E. bieneusi in dogs, which provides critical data for the development of targeted control strategies in Fujian province. Full article

Constructing ecological security patterns (ESPs) in high-density urban areas is challenged by severe habitat fragmentation and intense multi-objective conflicts. Traditional ESP optimization methods, typically designed for regional or municipal scales, struggle to effectively address the complex socio-ecological trade-offs in dense urban cores due to scale mismatch, oversimplified objectives, and insufficient representation of three-dimensional urban structures. To address this, this study develops an integrated framework combining multi-criteria analysis with 3D resistance surface modeling. Applied to Beijing’s core districts, the framework quantifies four key dimensions—species suitability, environmental vulnerability, ecological health, and implementation feasibility—using MARXAN spatial conservation planning software (an optimization model) to reveal dynamic trade-offs among conservation targets, benefits, and costs. The analysis delineates a hierarchical zoning system and generates two scenario-based governance plans: an Ecological Core Enhancement Plan for near-term, low-cost stabilization of the ecological foundation, and a Multi-criteria Collaborative Governance Plan for long-term, cross-sectoral conflict mitigation. The results show a strategic shift in governance logic, from site-specific protection to systematic enhancement, as priority area relationships evolve from “relative independence” to “convergent coverage” and, finally, “intensified differentiation” as targets increase. Thus, this framework provides an operable tool for dynamic ESP optimization, advancing urban ecological planning from static blueprinting toward adaptive governance. Full article

Affiliated Open Spaces (AOS) constitute vital public assets within high-density vertical cities. However, prevailing scholarship remains largely confined to two-dimensional horizontal perspectives, overlooking the quantitative impact of vertical built environment characteristics on spatial distribution and human behavior. Focusing on four high-density districts in Guangzhou typified by distinct three-dimensional morphologies, this study integrates field surveys, 3D geospatial data acquisition, and 621 valid questionnaires to empirically analyze the impact of 3D spatial features on user behavior and the mediating role of accessibility. Utilizing the ArcGIS 3D Analyst for vertical accessibility measurement and Partial Least Squares Structural Equation Modeling (PLS-SEM) for path analysis, the study tests the hypothesized relationships using multi-source data. The results indicate that (1) a user’s vertical location exerts a significant negative impact on both accessibility and human behavior; (2) building density and building functional diversity indirectly promote user engagement primarily by significantly enhancing accessibility, thereby confirming accessibility as a critical mediator; and (3) significant spatial heterogeneity exists, revealing distinct correlation patterns across varying built environments. This research elucidates the pivotal constraint of “vertical location” and validates the mediating efficacy of accessibility, offering empirical insights for human-centric vertical urban planning. Full article

The spatial variability of soil physicochemical properties significantly influences irrigation efficiency, nutrient availability, and the long-term sustainability of irrigated agriculture in semi-arid regions. This study aimed to quantify and model the spatial distribution of soil properties in a semi-arid irrigation district in central Mexico (Irrigation District 001 “Pabellón de Arteaga”, Aguascalientes), providing spatially explicit information for differential irrigation and fertilization management. Ninety-seven crop and four natural sampling sites were established under a stratified random design at two soil depths (0–30 and 30–60 cm). Geostatistical and machine learning models (Ordinary Kriging, OK; Generalized Additive Models, GAM; and Random Forest, RF) were applied to predict spatial patterns, and their performance was evaluated using statistical metrics. The findings reveal high spatial and vertical variability, with most properties (such as organic matter, total nitrogen, and texture) showing significant stratification with depth. In contrast, others (pH and electrical conductivity, EC) remained remarkably homogeneous vertically. Correlation patterns were identified, highlighting the negative influence of alkaline pH (≈8.0) on the availability of micronutrients (Fe²⁺ and Mn²⁺) and the positive association between EC and soluble cations (Ca²⁺, K⁺, and Na⁺). Moran’s Index confirmed significant spatial autocorrelation for most properties, reducing the effective sample size by 30–70%. The comparative evaluation of predictive models demonstrated the superiority of RF over OK and GAMs for predicting chemical properties, thanks to its ability to capture nonlinear relationships and complex interactions. However, the overall predictive performance was moderate, reflecting the multifactorial complexity of the edaphic system. This study lays the foundation for the development of an accessible, low-cost Decision Support System by providing a robust methodological framework for spatial soil characterization and contributing to more sustainable, resilient agriculture, where decision-making is based on quantitative data and predictive models. Full article

Social determinants of health (SDoH) comprise a broad array of social conditions, such as access to food and housing, that facilitate or impede individual behavior. The aim of this study was to assess the association between SDoH and cigarette smoking-related outcomes among U.S. adults (aged ≥18 years) by using data from the 2023 Behavioral Risk Factor Surveillance System (BRFSS). Cross-sectional data were obtained from the Social Determinants and Health Equity (SD/HE) module, conducted in 33 states, the District of Columbia, and Puerto Rico as part of the 2023 BRFSS. We examined four indicators of adverse SDoH (i.e., food insecurity, housing insecurity, utility insecurity, and lack of reliable transportation) and three cigarette smoking-related outcomes (i.e., cigarette smoking status, menthol cigarette smoking, and past-year quit attempt). All analyses were conducted with SAS 9.4 and used BRFSS sampling weights to adjust for the complex sampling design. Among 45,160 respondents, 2991 (7.8%) were adults who smoked cigarettes in the past month, of whom 570 (16.5%) reported making a quit attempt in the past 12 months. Menthol cigarette use was reported by 634 (22.0%) adults who smoked cigarettes in the past month. In adjusted analyses, each SDoH measure (i.e., food insecurity (aOR = 1.70, 95% CI: 1.19–2.41, p < 0.01), housing insecurity (aOR = 1.66, 95% CI: 1.06–2.59, p < 0.05), utility insecurity (aOR = 1.92, 95% CI: 1.01–3.65, p < 0.05), and lack of reliable transportation (aOR = 1.67, 95% CI: 1.03–2.73, p < 0.05)) was significantly associated with making a quit attempt in the past 12 months. Food insecurity was significantly associated with the odds of current cigarette smoking. Food insecurity and utility insecurity were independent risk factors for using menthol cigarettes. U.S. adults experiencing adverse SDoH are trying to stop smoking at higher rates than adults not experiencing adverse SDoH. Findings demonstrate that SDoH is a strong predictor of cigarette smoking status, menthol cigarette smoking, and past-year quit attempts among U.S. adults. Full article

This paper proposes an approach to digitizing the environmental passport for areas where detachable parts of launch vehicles fall in Kazakhstan based on an interactive geographic information system platform and smart maps. An example is considered for zone U-4 (“Ulytau” district of the “Karaganda” region), which includes the fall zones of “Soyuz” launch vehicle blocks (IZ 26, 32, 34, 42, 56). The natural and climatic factors and hazards of the territory are analyzed: the total area of the zones under consideration exceeds 4.1 million hectares, annual precipitation varies between 218 and 289 mm, strong winds of 5.0–6.8 m/s are characteristic, and a high level of fire hazard can develop within 6–7 days. Data on fires for 2021 are provided. For an integrated assessment, a normalized system criterion, environmental sustainability indicator (0–1), has been introduced, aggregating four groups of criteria (chemical, mechanical, pyrogenic, biota) with a breakdown of contributions and calculation of uncertainty (σ and 95% CI). The system criterion of environmental sustainability map identifies local ‘hot spots’ with levels of around 0.8–1.0, while the uncertainty map shows maximums of up to 0.12–0.14 (with background values of ~0.02–0.08), which increases the validity of management decisions on monitoring and reclamation. Full article