Search Results (2,421)

Accessibility indicators derived from web-map platforms are increasingly used in sustainable spatial planning, service allocation, and land-value modelling, particularly in data-constrained regions. Yet the reliability of such source-dependent measures for decision-making remains insufficiently examined. Using paired parcel-level data from Khyber Pakhtunkhwa, Pakistan, this study conceptualizes accessibility as a spatial measurement process with structured source uncertainty by directly comparing platform-derived (PD) and field-verified (FV) nearest-facility distances across five facility types. Cross-source analysis reveals substantial facility-specific discrepancies in both magnitude and rank ordering, with certain facility types exhibiting near-random or reversed parcel rankings between sources. Spatial diagnostics further demonstrate that discordance events are geographically clustered rather than randomly distributed. An exploratory local amenity-density check further shows that mismatch prevalence varies systematically with nearby POI context, although the relationship is heterogeneous rather than uniformly sparse-driven. Under spatial block cross-validation, land-value models using FV accessibility consistently outperform PD-based models, while PD-based models display fold-level instability. Moreover, coefficient sign orientation and relative importance vary systematically across sources, indicating interpretation sensitivity to measurement choice. Importantly, reducing magnitude error alone does not restore decision reliability when ordering instability persists. These findings show that accessibility source choice can reshape spatial prioritization and inferred price gradients, introducing decision risk into sustainability-oriented planning. We therefore propose a minimum reliability protocol—including discrepancy profiling, ordering diagnostics, spatial discordance mapping, and spatially structured validation—to support transparent and defensible accessibility analytics in data-constrained environments. Full article

Industrial heritage in resource-depleted mining towns faces the dual challenge of physical decay and social severance. To achieve sustainable urban revitalization, adaptive reuse strategies must align with local collective memory and emerging experiential consumption trends. Adopting a Scene Theory perspective, this study constructs a multi-level analytical framework using Meitanba Town (Hunan, China) and its power plant as a case study. A mixed-methods approach was employed, combining semantic network analysis of 1582 online user comments with 61 offline questionnaires distributed to local residents to quantitatively diagnose current scene elements, functions, and features. The quantitative results reveal a significant imbalance: while “Functional Media” achieved the highest comprehensive score (10.0) due to strong historical recognition, “Diverse Groups” scored the lowest (3.4), indicating a lack of social inclusivity. Specifically, residents expressed the highest demand for sports facilities (31.2%) and cultural spaces (23.7%), identifying the main workshop (26.4%) and chimney as core carriers of industrial identity. Responding to these findings, the paper proposes three targeted strategies: (1) Activate: creating open-access recreation scenes to satisfy urgent sports demands; (2) Link: constructing immersive cultural scenes to narrate the “coal–electricity–life” history; and (3) Enhance: developing industry-powered commercial scenes to avoid homogenization. This study enriches the localized application of Scene Theory and provides a data-driven, context-adjustable analytical and strategic model that can inform the sustainable renewal of mining towns globally, with its specific implementation requiring adaptation to local social, economic, and cultural characteristics. Full article

Urban transportation is a crucial aspect of modern societal development, with bus route optimization playing a central role in urban transit planning. Well-designed bus routes can enhance the efficiency and attractiveness of public transportation, alleviate traffic congestion and pollution, and ultimately contribute to the overall growth of a city. This study investigates the selection of bus stop locations and route optimization from three perspectives: population density, facility distribution, and route length. The main methodological contribution lies not in the Pareto filtering itself, but in the development of a unified pipeline. This pipeline first generates and prunes candidate stops by applying road-network and intersection-safety constraints. It then constructs feasible routes using a constraint-driven heuristic that enforces stop spacing, ensures monotonic progress away from the origin and toward the destination, and maintains route smoothness. Finally, it integrates population-grid and POI indicators into a tri-objective evaluation framework prior to non-dominated sorting. The proposed method for bus stop location and route optimization is universally applicable to urban bus routes and can be validated through case studies in different cities. An empirical analysis is conducted using Route 119 in Kunming City, Yunnan Province, as a case study. Compared with the original bus route, the optimized route demonstrates improvements of 18.26% in route distance, 15.79% in Points of Interest (POI) accessibility, and 10.53% in population coverage. Full article

Background: Today, it is important to measure livestock water consumption to devise sustainable solutions that consider environmental issues, livestock health requirements and animal welfare. Methods: This longitudinal study measured the water consumption of 66 calves subjected to two feeding diets: a recommended diet as control (CON) and an optimised diet (OPT). Individual measurements were collected daily and summarised on a weekly basis over a 20-week period. The analysis considered the impact of environmental conditions depending on the season of the calf’s birth. Results: Before weaning, calves spontaneously drank significant amounts of water in addition to the water brought by the calf milk replacer (CMR), but there was variability between animals. Water consumption among calves in the OPT group was higher than that among calves in the CON group from week 4 onwards (p = 0.005). At weaning, there was a significant increase in water consumption with a total water intake higher in calves in the OPT group compared to calves in the CON group (118.4 L and 78.9 L; p < 0.001). After weaning, water consumption was correlated with the solid feed intake in our model, which did not include direct fodder other than straw. There were no seasonal effects on water consumption before weaning at 9 weeks, but effects were observed after 13 weeks on the feeding plan (p = 0.008), with higher water consumption among calves born in winter and exposed to warmer temperatures in spring. Over a 20-week period, when calves had reached a weight of 180 kg in the OPT group and 150 kg in the CON group, water consumption had reached 1602 L and 1400 L respectively (p < 0.001). Conclusions: Free access to water should be maintained in calf rearing facilities, as water contributes to concentrated CMR and dry solid feed assimilation and the welfare of calves when the feeding plan remains at a modest level, enabling them to tolerate fluctuating environmental conditions. Full article

This study seeks to inform emergency preparedness efforts by summarizing the pandemic’s impacts on access to opioid use disorder (OUD) recovery support as reported by women in recovery. In-depth interviews were completed with adult women in recovery from OUD. We used a primarily deductive approach to coding and analysis. Two coders analyzed transcripts; discrepancies were resolved through discussion. Seventeen women completed interviews from June to October 2020. Pandemic impacts primarily focused on engagement in care and retention at community and interpersonal levels. Community-level barriers to engagement included facilities’ halting intake of patients and fear of COVID-19 infection in treatment settings. Interpersonal barriers to engagement included loss of childcare support and the sudden transition to virtual services. Community-level retention barriers included perception of facility staff’s lack of adherence to infection prevention protocols and strict enforcement of infection prevention protocols on residents within facilities. Interpersonal barriers to retention included reduced availability of mutual aid meetings. Participants also highlighted how the pandemic worsened the addiction crisis and increased women’s caretaking burden. Leaders and administrators must be prepared to simultaneously balance responses for two public health crises: a novel infectious disease and addiction. Lessons learned from the pandemic can mitigate barriers to care and recovery when future emergencies arise. Full article

Equitable access to sports facilities is essential for promoting residents’ well-being, yet existing studies mostly rely on large spatial analytical units, limiting the ability to identify intra-unit disparities in accessibility and equity. This study develops a building-scale framework for assessing sports facility accessibility from a spatial equity perspective, incorporating building volume-weighted population distribution and quantification of multi-type facility service capacity for precise demand and supply estimation. Taking the Yuexiu District, Guangzhou, as the study area, the study assesses the accessibility of residential buildings using the Gaussian Two-Step Floating Catchment Area (G2SFCA) method and evaluates spatial equity using the Lorenz curve and local Moran’s I. Results indicate a moderate level of equity in overall facility provision (Gini coefficient = 0.288), alongside substantial inter-type disparities, with Gini coefficients ranging from 0.330 to 0.800. Accessibility clusters exhibit pronounced scale variability, ranging from a few buildings to hundreds of buildings, with small clusters embedded within larger clusters of opposite accessibility. These fine-grained patterns are largely obscured in conventional aggregated-unit analyses, underscoring the necessity of building-scale assessment. Results provide a basis for precise allocation of both facility quantity and facility types, supporting efficient decision-making for urban planning and management. Full article

The current global population aging trend has intensified, especially in rural areas. As vital spatial carriers supporting multiple activities of older adults, rural human settlements have become key settings for addressing the challenges of aging. However, current efforts to improve rural human settlements primarily focus on enhancing the overall appearance of villages. This approach fails to adequately address the specific needs of older adults. Chongqing is a typical mountainous city, facing deep aging and significant regional disparities. It is also confronted with realities such as spatial fragmentation, scattered facilities, and low service accessibility. So Chongqing urgently requires systematic assessment and targeted interventions. To transcend the traditional one-size-fits-all governance in rural human settlements, the concept of “rural human settlements for aging” is introduced in this article, to establish an age-sensitive governance logic. Based on 2023 cross-sectional data, this article evaluates the level of the rural human settlements in Chongqing by establishing an index system, and employs global spatial correlation and local spatial correlation to analyze the spatial correlation patterns. The geographic detector model and the obstacle degree model are used to delve into the key obstacle factors influencing and hindering rural human settlements. The results indicate that despite exhibiting a pronounced spatial clustering pattern, spatial disparities remain quite evident. The spatial differentiation presents a pattern of “high in the west and low in the east, led by a single core area.” Elderly service facilities constitute the main external obstacle. The relationship between social security and family support within welfare systems represents the primary internal obstacle. Transportation conditions serve as the key interactive obstacle. Based on an analysis of the primary obstacles in each region, the promotion strategy is categorized into three types: facility enhancement type, characteristic amplification type and comprehensive upgrading type. This article aims to advance the transformation of rural human settlements from “universal design” to “age-friendly design.” It provides a reference framework for rural human settlements development in the context of an aging population. Full article

Rift Valley fever virus (RVFV) and Crimean-Congo hemorrhagic fever virus (CCHFV) are designated by the World Health Organization as priority pathogens due to their epidemic potential, zoonotic transmission, and the absence of licensed therapeutics or vaccines. The development of effective antivirals critically relies on robust in vitro and in vivo models; however, progress is limited by the requirement for high-containment facilities. In this review, we provide a comprehensive overview of the experimental models currently available for RVFV and CCHFV, ranging from cell-based assays to animal models, and discuss their respective advantages, limitations, and translational relevance. We further highlight strategies allowing for BSL-2 experimentations, thereby expanding research accessibility, and accelerating the development of countermeasures against these high-priority pathogens. Full article

Background/Objectives: Publicly available open databases offer advantages in terms of accessibility and transparency. However, their application in intensive care research remains limited. Therefore, in this study, we examined whether simple nationwide comparisons of intensive care unit (ICU) practice patterns are feasible using an open database. Methods: A multicenter, cross-sectional study was conducted using data from the Bed Function Report. ICU wards reimbursed under ICU admission fee types were included and classified as high-acuity or standard ICUs. The ward-level procedure frequencies of procedures, including mechanical ventilation, were calculated. Comparisons were performed according to ICU admission fee type and geographic region. Quasi-Poisson regression models with offsets for annual ICU admissions were applied, accounting for overdispersion. Results: A total of 602 ICUs were included in the study. Non-metropolitan ICUs demonstrated higher procedural rates for mechanical ventilation compared with metropolitan ICUs (rate ratio [RR], 1.11; 95% confidence interval [CI], 1.02–1.21). Standard ICUs consistently had lower procedural rates for mechanical ventilation than high-acuity ICUs (RR, 0.74; 95% CI, 0.68–0.81). Group analyses indicated that regional differences in procedure frequencies were evident in standard ICUs, but not in high-acuity ICUs. Conclusions: This study demonstrated the feasibility of comparing ICU practice patterns across different regions and facility types in Japan using a nationwide open public database. This approach may serve as an initial step in a stepwise research framework that links open-database profiling to patient-level analysis using more detailed data sources. Full article

People in midlife interact with several different environments during their daily life including employment, leisure, commuting, and various family responsibilities, a concept defined as activity space. However, little is known about how these activity spaces contribute to individuals’ daily health behavior choices. The Everyday Environments and Experiences (E3) study was conducted to explore these relationships. In this paper, we provide a reproducible GPS processing workflow to generate time-weighted exposure measures (activity spaces) inferred from 21 days of continuous GPS monitoring among 340 midlife adults in Cook County, Illinois (n = 340) from the E3 study. Data from waist-mounted GPS devices that recorded one-minute location epochs were aggregated after excluding time spent within an 800 m buffer around the home. For each epoch, we derived proximity and kernel density measures for eleven food and physical-activity-related location types (e.g., supermarkets, fitness facilities), along with twenty-six environmental context variables (e.g., land use, crime, population density). Time-weighted averages characterized each participant’s typical non-home environmental exposure. After adjustment for environmental context, age and gender were generally unrelated to activity-space measures. However, Black and Hispanic participants (as compared to White participants) spent less time near both food and physical-activity resources, suggesting systemic inequities in access beyond neighborhood composition. These findings highlight the need to move beyond static residential measures toward time-weighted, dynamic assessments of environmental exposure. They also indicate that racial and ethnic disparities in routine activity space may reflect structural inequities shaping daily physical activity and access to healthy food. Future research is needed to explore how these observed disparities translate into differences into disease risk, using longer exposure periods and different geographic settings to identify causal pathways and inform multi-level interventions. Full article

Rapid urban densification has intensified the scarcity of urban green space and challenged residents’ health and well-being. Pocket parks, as micro-scale infill green spaces embedded in the urban fabric, are increasingly adopted to expand everyday access to nature. Using three representative pocket parks in Nanjing, China, this study draws on self-reported data from questionnaire surveys and semi-structured interviews to characterize spatiotemporal use patterns and examine their links to perceived psychological, physiological, and social benefits through quantitative statistical analysis and modeling. Results show that pocket park use is highly routinized. Temporal patterns were evident, with weekend and autumn visits associated with improvements in emotional well-being, pain relief, and parent–child interaction. Perceived benefits were generally positive across psychological, physiological, and social domains, with psychological benefits—especially emotional relief and reduced loneliness—reported most strongly. Benefit levels varied across parks and user groups. Mechanism analysis reveals that the park supply factor, reflecting accessibility and basic facility provision, showed the most consistent direct paths to perceived benefits, whereas facility use and length of stay had no significant direct effects. These findings suggest that pocket park planning should prioritize accessibility and adequate basic provision, while strengthening activity support in ways that align with local use rhythms to enhance health-oriented performance in high-density cities. Full article

With China’s urban growthism past its peak, urban development has shifted from incremental expansion to inventory quality improvement. Renovating historical and cultural blocks—a core area for urban quality enhancement—makes exploring their integration with surroundings highly significant. Existing studies on historical district research mainly focus on single-dimensional research such as protection policies, spatial structure analysis, and quality evaluation, lacking a systematic and quantitative evaluation of the spatial integration degree between historical and cultural blocks and their surrounding areas. To improve research on the integrated development of historical and cultural districts and their surrounding areas, this study employs deep learning and machine learning techniques to process street view images from 2721 data points in 2024, investigating the integration of Wuhan Hankou’s historical and cultural districts with their surrounding areas. The spatial integration degree between a historical and cultural district and its surroundings refers to the coordinated development level in terms of history and culture, spatial ecology, and transportation infrastructure. Specifically, the DeepLab v3+ model processes the blocks’ street view images to generate indicator data (Green Visual Index, Sky Visibility Index, Road Area Index, Spatial Enclosure Index, Color Richness (Wheel), Color Richness (Entropy), Spatial Accessibility Index, Vehicle Disturbance Index, Traffic Sign, which is used to quantify the historical culture, spatial ecology, and transportation facilities of historical and cultural blocks and their surrounding areas. The Coupling Coordination Degree model evaluates spatial integration, while the Geodetector Model quantitatively analyzes interactions between spatial integration and driving factors here. The results show that the spatial interaction and dependence between the Hankou Historical and Cultural District and its surrounding areas are relatively high, but spatial coordination is insufficient; the integration remains at a primary stage with structural contradictions. SVI, SEI, and RAI have a significant impact on integration, while Spatial Accessibility Index, Green Visual Index, and CRW have a moderate influence, and CRE, Vehicle Disturbance Index, and Traffic Signs have a relatively weak impact. Among them, SVI exhibits the strongest interactive effect with other indicators and plays a leverage role in improving integration. Full article

As a typical example of a high-density city, Macau’s medical resource allocation system, a key component of the city’s complex socio-technical system, suffers from significant spatial imbalances, which restricts the overall effectiveness of the medical service system. Based on the perspective of systems science theory, regards the allocation of medical resources as a dynamic system with multiple coupled factors. It comprehensively utilizes systems research methods such as POI data mining and space syntax analysis and employs techniques such as kernel density analysis and spatial structure coupling models to systematically evaluate the spatial structure, resource accessibility, and service balance of Macau’s medical service system. It found that (1) the Macau Peninsula has concentrated core medical resources, such as the Conde de São Januário Hospital (CHCSJ) and Kiang Wu Hospital, which form a core subsystem with high service saturation. Excessive concentration of resources has led to high concentration of a certain type of facility. (2) Taipa Island and the Cotai Reclamation Area have created an extended subsystem of medical resources along with urban development. However, the northern area does not have enough facilities, and its internal structure is not balanced. (3) Coloane Island has only basic health stations remaining, forming a marginal subsystem with scarce medical resources, which has a significant hierarchical gap with the core and extended subsystems. This spatial pattern of “saturated Macau peninsula, expanded Taipa Island, and sparse Coloane Island” is essentially a concrete manifestation of the imbalance between the medical resource allocation system and the urban spatial development system. Therefore, based on system optimization theory, it proposes constructing a multi-level, networked spatial system for medical facilities to promote the coordinated operation of various regional medical subsystems and achieve overall functional optimization and a balanced layout for Macau’s medical service system. This research analyzes the imbalance mechanism of high-density urban public service systems using systems science methods, providing not only a scientific basis for the precise optimization of Macau’s medical resource allocation system but also a practical reference for the planning and governance of similar high-density urban public service systems under a systems thinking framework. Full article

The revitalization of vitality in historic cultural districts can enhance a city’s cultural attractiveness and promote the upgrading of the urban cultural industry and sustainable development. Revealing the threshold and synergistic effects of different districts’ scene elements on district vitality helps to identify the distribution patterns of district vitality and provides a basis for managerial decision-making. This study first uses a geographic information system (ArcGIS) to overlay Baidu heatmaps with the street-network distribution in order to depict the spatiotemporal heterogeneity of district vitality and to compute vitality values by partitions at the district scale. Subsequently, based on an explanatory framework that integrates the physical space and subjective cognition, multi-source data such as street-view panoramas and points of interest (POIs) are quantified to obtain scene-element values for each unit area. Then, the scene-element values and vitality values are integrated into a consolidated database. Additionally, the LightGBM model and the SHAP method are employed to evaluate each element’s marginal contribution and relative importance to district vitality, thereby screening out the key scene elements. Finally, by means of SHAP dependence plots and interaction-effect analysis, the threshold intervals of the key elements and their synergistic relationships are identified, revealing the nonlinear threshold effects and synergies by which scene elements influence spatial vitality. The results show that during rest days, district vitality exhibits stronger diffusion, and the synergistic effect between Leisure-Facility Attractiveness and Street-Network Accessibility is the most prominent in enhancing vitality. High Exhibition-Facility Attractiveness is difficult to sustain crowds on its own; only when Leisure-Facility Attractiveness is likewise high does its effectiveness increase significantly. When Transport Accessibility is within the 0.20–0.40 interval, the positive effect of Leisure-Facility Attractiveness is significantly amplified. An excessive Traditional–Modern Facility Mix readily leads to homogenization of districts; therefore, when introducing modern business formats, local cultural characteristics must be retained. Overall, the generation of district vitality relies more on the synergy between material factors and subjective cognition than on improvements to any single element. The findings of this study provide suggestions for the planning of scene elements and the enhancement of vitality in historic cultural districts. Full article

Access to safe and reliable drinking water is essential for public health. However, regional public water companies often face challenges that compromise service quality, such as equipment failure, water contamination, and inconsistent treatment processes. This study applies the failure mode and effects analysis (FMEA) method to systematically identify, evaluate, and prioritize operational risks in a water treatment facility. By analyzing 17 potential failure modes across the treatment process, five modes were classified as critical, prompting targeted mitigation strategies. The results demonstrate FMEA’s effectiveness in enhancing reliability and supporting continuous improvement efforts in water treatment operations. Full article