Search Results (1,892)

Cities face the need to implement urban planning solutions that support sustainable development; however, this is not fully possible due to inadequate legal regulations. This development can be understood as increasing the environmental and economic resilience of urban areas and improving the quality of life for city residents. A noticeable trend in urban development plans is the implementation of the “15 min city”, “20 min city”, or similar concepts, which aim to enhance walkability by ensuring access to basic urban services and functions within walking distance. The aim of this article is to evaluate accessibility to green areas and selected educational services in cities (named in the article as MSAS–Municipal Standards for Accessibility of Social Infrastructure), and then to compare the results with proposed legal regulations in Poland that set minimum distances between social infrastructure zones and residential areas. The study will be conducted using selected urban centers: in Poland as a case study and in Belgium as verification. The use of spatial analysis methods (GIS) and a method transferability test enables the assessment of accessibility zones, as well as the identification of potential discrepancies between legal standards and actual accessibility conditions. In this context, this article addresses the question of whether accessibility standards for elementary schools and public green spaces can affect the future directions of residential development and urban spatial policy. The conclusions indicate that, although MSAS are not perfect solutions for a variety of reasons, they represent a step toward sustainable development. Full article

The digital transformation of tourist facilities requires careful selection of technologies that can provide secure, stable and scalable network infrastructure. Due to the possibility of application in different sectors with different specificities, the focus of the research was placed on the implementation of smart tourist services. A hybrid multi-criteria decision-making model based on PIPRECIA and MVA models was applied for the research. Based on the literature and the opinions of experts in the field, evaluation criteria such as bandwidth, latency, energy efficiency, security and privacy, scalability, costs and interoperability were defined, and internet technologies such as Li-Fi, Wi-Fi 7, Wi-Fi 6, private 5G networks, Ethernet-over-Power (EoP), NB-IoT and LoRaWAN were defined. The results obtained put the security and privacy criterion at the top (0.2253), followed by scalability (0.1952) and bandwidth (0.1624). The obtained results indicate that Wi-Fi 7 achieved the highest weighted score (4.2247), followed closely by Li-Fi (4.2177) and Wi-Fi 6 (4.0771). Wi-Fi 7 demonstrated particularly strong performance in scalability, interoperability and bandwidth, making it highly suitable for environments with high user density. Li-Fi achieved very high scores in security and latency, which makes it particularly appropriate for security-sensitive smart tourism environments. Lower-ranked technologies such as NB-IoT and LoRaWAN proved valuable for supporting IoT and monitoring functions, rather than as primary communication infrastructure. The proposed model has proven to be a flexible, transparent and practical tool for strategic decision-making in the field of smart tourism. In addition to the basic application presented in the paper, the model has the potential to be adapted to different contexts and expanded with additional criteria or new technologies. The proposed hybrid approach can serve as a useful decision-making tool for tourism managers, system engineers and urban planners who are looking for optimal solutions for the development of digital infrastructure. Full article

Public health emergencies require spatial crowdsourcing platforms to finish urgent tasks while limiting unnecessary movement across regions. Most online task assignment studies focus on profit, travel distance, latency, task coverage, or service quality. However, isolation sensitive scenarios need a different assignment goal. In such scenarios, regional crossings should be directly controlled during worker–task matching. This paper studies an isolation sensitive online task assignment problem in spatial crowdsourcing. The service space is modeled as a regional adjacency graph. The matching objective combines cross-region movement cost, an urgency reward for delayed task completion, and a dummy no-assignment cost for carry-over decisions. To handle dynamic arrivals, a time-sliced online process is used. Unfinished tasks are carried over to later time slots, and the priority of each carried-over task increases with waiting time. Based on this framework, we design two algorithms. OnlineKM serves as the basic priority-aware online matching algorithm. OnlineKM builds a matching problem in each time slot and applies KM-based partial matching with the information currently available. OnlineARC further uses δ-balanced adaptive regional coarsening. OnlineARC merges adjacent regions according to recent supply–demand balance before matching. This step adjusts the regional granularity used for movement cost evaluation and helps keep assignments close to local regions when regional merging is suitable. Experiments are conducted using a real-world task locations dataset from a 2022 COVID-19-related scenario in Changchun, with simulated worker availability and online arrivals. The results show that the proposed methods usually reduce the combined assignment objective value under the tested settings. The service quality and movement control metrics show that OnlineARC reduces the cross-region assignment ratio and average hop distance while maintaining a high task completion rate under the representative setting. OnlineKM improves running efficiency through time-sliced matching, while OnlineARC provides a trade-off between adaptive coarsening cost and locality-aware movement cost evaluation. These results suggest that adaptive regional coarsening can serve as a practical heuristic for locality-aware online task assignment in isolation sensitive spatial crowdsourcing under suitable worker–task distributions. Full article

This study aims to develop a decision-making framework for equalizing urban electric vehicle (EV) charging services, which is applied to improve Wuhan’s charging infrastructure. Using grid units as the basic analytical units, the study constructs measurement models for two scenarios—daily commuting and weekend travel—including a spatial demand index based on classified population distribution prediction, a spatial supply index derived from regional charging station statistics, and a supply–demand balance index. Grading systems are established for each scenario’s demand, layout thresholds, and supply, together with an integrated classification combining both scenarios. According to the suitability of grid units for service improvement, three optimization strategies are proposed: adding charging stations, expanding existing stations, and retrofitting parking lots. Evaluation methods are designed to assess spatial equilibrium pre- and post-optimization for residential quarters and commercial POIs. An empirical case study of Wuhan’s main urban area shows that service satisfaction reaches 88.68% for residential quarters and 75.93% for commercial POIs under the current conditions. The proposed scheme recommends the addition of 6 new stations, expansion of 23 stations, and retrofit of 52 parking lots, increasing satisfaction to 99.16% and 89.66%, respectively. The model provides a feasible technical framework for urban EV charging station planning. Full article

Multi-cloud is becoming more challenging to secure as traditional perimeter-based security models have a hard time protecting workloads running across multiple cloud platforms, identities, and services. To address this challenge, organizations are shifting to Zero-Trust Architecture (ZTA), which focuses on constant verification and stringent access control, coupled with anomaly detection methodologies to gain better visibility and threat detection in the distributed cloud environment. This paper presents a Systematic Literature Review (SLR) of anomaly detection approaches in multi-cloud environments and how these are applied in zero-trust security models. The review is conducted according to the guidelines of the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020), and is based on studies published between 2020 and 2025 selected from the databases of the following journals: Institute of Electrical and Electronics (IEEE) Xplore, Science Direct, MDPI, Google Scholar, and the Saudi Digital Library. Studies found on benchmark datasets such as CICIDS-2017 and UNSW-NB15 are not evaluated, as none addressed real multi-cloud environments. Although zero trust is highlighted in general, very few studies have implemented basics of zero trust such as micro-segmentation, identity federation, and enforcement through policy. Overall, this review identifies gaps around cross-cloud validation, explainability, and compliance-aware security design, including lack of attention to regulations such as the GDPR and HIPAA. These findings provide helpful recommendations for future research and development on practical and security solutions for multi-cloud environments. Full article

Background: Burn injuries are increasingly being recognized as chronic conditions with long-term physical, emotional, and social consequences. As survival after acute burn trauma improves, greater attention has shifted toward health-related quality of life (QoL) in survivors, particularly in regions where data remain limited. Methods: This study included burn survivors treated between January 2022 and December 2023 in the Department of Plastic Surgery and Reconstructive Microsurgery of the Emergency Clinical Hospital “Bagdasar-Arseni,” Bucharest, Romania. Patients who survived hospitalization and follow-up were invited to complete a Romanian-adapted version of the Burn Specific Health Scale-Brief (BSHS-B). Demographic and clinical data were collected from medical records, including burn type, total body surface area (TBSA), burn depth, burn localization, and access to rehabilitation services. Statistical analysis included descriptive methods, chi-square tests, t-tests, Kendall’s tau-b, Cramer’s V, Cronbach’s alpha, and exploratory factor analysis. Results: Thirty-eight patients were included. Most burns were thermal (94.74%), while burns involving <10% TBSA were most frequent (60.53%). Functional outcomes were generally favorable, with most patients reporting no difficulty in basic daily activities such as bathing, dressing, and writing. However, fine motor activities and return to previous work were more frequently affected. Emotional recovery appeared less complete, with persistent mild-to-moderate loneliness, sadness, and emotional distress reported by many participants. Women reported higher levels of loneliness (p = 0.015), while third-degree burns were associated with more frequent depressive symptoms (p = 0.008). Depressive symptoms were also significantly associated with functional limitations (such as getting dressed, p = 0.002) and work impairment (p < 0.001). The adapted functional and emotional subscales showed excellent internal consistency. Conclusions: Post-burn recovery extends beyond physical healing. Although most patients regained functional independence, emotional distress and occupational difficulties often persisted. These findings support the need for multidisciplinary long-term burn care integrating physical rehabilitation, psychological screening, and psychosocial support. Full article

The inequitable redistribution of electricity price cross-subsidies constitutes a critical issue, as it compromises the implementation efficiency of tiered electricity pricing (TEP) policies and impedes the equalization of basic public services in the power sector. Drawing on residential TEP data from Hebei Province spanning 2016 to 2020, this paper employs the Gini coefficient method and reveals that high-income residential users receive substantially larger electricity price cross-subsidies than their low-income counterparts. Overall, the degree of such inequality has been rising annually. Furthermore, both high-income and low-income groups exhibit greater inequity in subsidy allocation relative to the middle-income group. Against this backdrop, this paper proposes a more rational tiering framework for TEP by adopting the rank-sum ratio (RSR) method, thereby identifying a viable pathway for residential users across all income brackets to share electricity costs equitably. This research contributes to the sound management of electricity price cross-subsidies, mitigates the inequity in subsidy distribution, and guides residents toward rational electricity consumption behaviors. Full article

Background: Out-of-hospital cardiac arrest (OHCA) remains a major public health problem. Many patients contact primary health care (PHC) services shortly before cardiac arrest, yet data on PHC staff preparedness to provide guideline-concordant basic life support (BLS) remain limited. This study assessed BLS knowledge and chest compression quality among medical and non-medical PHC staff. Methods: This multicentre cross-sectional simulation-based study was conducted in Poznań and Poznań County, Poland. PHC staff with direct patient contact were included (n = 162). Assessment comprised an author-developed 15-item knowledge test based on European Resuscitation Council guidelines and a two-minute continuous chest compression trial on a Resusci Anne QCPR manikin. Correlations were analysed using Spearman’s rank correlation coefficient, group differences using the Kruskal–Wallis test with Dunn–Bonferroni post hoc comparisons, and predictors using multivariable linear regression. Results: The median BLS knowledge score was 9/15 points (mean 8.74). Mean chest compression depth was 41.3 mm, below the recommended range, with only 23.5% of compressions meeting depth criteria. Correct compression rate was maintained in 30.2% of compressions, and full chest recoil was observed in 55.0% of attempts. Age was negatively correlated with compression rate. In participant-level regression, higher BLS knowledge was associated with better QCPR performance; however, this association was attenuated and no longer statistically significant in mixed-effects models accounting for clustering by practice. Conclusions: PHC staff demonstrated gaps in BLS knowledge and inadequate simulated chest compression performance, particularly regarding compression depth and rate. These findings support recurrent, simulation-based BLS training for all PHC personnel. Full article

Background: Health accessibility is a key determinant of equitable cancer care. In many countries, specialized oncology services are concentrated in urban and socioeconomically advantaged regions, forcing many patients to travel long distances for treatment. Consequently, geographic and social characteristics may be impactful in determining cancer healthcare outcomes. Objective: The aim of this study was to evaluate the association between the municipal-level Social Progress Index (SPI) and geographic travel burden, stage at diagnosis, treatment, and survival in patients with pancreatic cancer in São Paulo state, Brazil. Methods: We conducted a population-based study using data from “Fundação Oncocentro” on adults with pancreatic adenocarcinoma (2005–2025). The SPI (0–100 scale), a composite measure of municipal social and environmental development, was the primary exposure. It is structured into 3 dimensions and 12 components: Basic Human Needs (nutrition, medical care, water and sanitation, housing, safety); Foundations of Well-being (education, information access, health, environmental quality); and Opportunity (rights, freedom of choice, social inclusion, higher education). Municipal residence and cancer center locations were geocoded, and travel distance (km) was estimated. Multivariable Cox, logistic, and linear regression models assessed associations between SPI and overall survival, stage IV at diagnosis, surgery, and travel distance. Results: A total of 13,478 patients were included (mean follow-up 15.1 ± 27.2 months; mean age 62.3 years; 50.4% male). Stage IV disease was frequent (46.3%), and surgery was performed in 33% of cases. Over half of patients (53.2%) traveled more than 10 km for treatment. Increasing SPI was strongly associated with shorter travel distance (β −62.6 km per SPI unit; p < 0.001) and higher odds of surgery (OR 1.04; p < 0.001) and remained independently associated with a higher likelihood of undergoing surgical treatment (adjusted OR 1.04; p < 0.001). The proportion of stage IV disease did not decrease with increasing SPI and was slightly higher in the highest quartile (49.3%). In survival analysis, SPI demonstrated a protective effect in univariate modeling (HR 0.987; p < 0.001), but lost significance in multivariable analysis (p = 0.125). Travel burden was not retained as an independent predictor of survival after adjustment. Conclusions: Municipal-level SPI was a strong determinant of healthcare access and the likelihood of receiving surgical treatment for pancreatic cancer. Social and geographic vulnerability directly influence care pathways, revealing structural inequities in access to treatment. SPI-based stratification may serve as a practical tool to identify priority regions for transport support and equitable allocation of oncology services. Full article

Efficiency is a key indicator for evaluating how effectively tourism inputs are converted into outputs. Clarifying the spatial differentiation and driving mechanisms of county-level tourism efficiency can inform regional tourism development and the optimization of resource allocation. Taking counties in Fujian Province, excluding Jinmen County, as the basic unit of analysis, this study constructs a multidimensional input–output indicator system covering tourism, dining, accommodation, transportation, shopping, and entertainment. It applies Data Envelopment Analysis (DEA) to measure county-level tourism efficiency, uses Global Moran’s I and Getis-Ord Gi* hotspot analysis to identify spatial differentiation patterns, and employs GeoDetector to examine key driving factors and their interaction effects. The results show that the average tourism efficiency of county-level units in Fujian is 0.708, indicating a moderate overall level with marked regional polarization. Technical efficiency is relatively high, with an average of 0.873, whereas disparities in scale efficiency represent the main constraint on overall efficiency. Spatially, tourism efficiency displays a pattern of “hot in the north and cold in the south”. Interaction analysis further indicates a shift from resource dependence to service value-added, with dining, entertainment, and shopping exerting stronger effects than tourism resources alone. These findings provide empirical support for optimizing tourism spatial supply and promoting coordinated regional development. Full article

Ensuring accessibility in alpine ski areas remains a critical challenge for social sustainability and inclusive tourism because physical, seasonal and organisational constraints interact across the visitor experience. This paper reframes accessibility as a dynamic and relational landscape attribute and proposes a flow-chain framework for assessing accessibility as a sequence of interdependent phases, from pre-trip information to arrival, lift access, slope use, rest and return. Developed within the Ski-Ability project in the ArgeAlp working community, the study draws on exploratory field observations, stakeholder engagement and co-design activities conducted across seven Alpine pilot resorts. The pilot resorts are not treated as a statistically representative sample, but as field cases used to understand current operational conditions in a context where academic literature, technical standards and regulatory guidance specific to accessible ski areas remain limited. The framework is operationalised through a qualitative toolkit based on Basic, Comfort and Plus levels, priority categories and non-compensatory decision rules. The results provide methodological validation and practical guidance rather than quantitative benchmarking. They show that accessibility in alpine ski areas depends on the continuity of routes, services, information and assistance, and on coordination among multiple actors. The paper contributes to social sustainability research by linking Universal Design, accessible tourism and mountain governance within a transferable, process-oriented assessment model. Full article

The lack of publicly available demographic and prevalence data on service dog (SDog) teams in Canada challenges our understanding of how and to what degree limited industry regulations, unharmonized standards, differing pathways to acquiring an SDog, and other variables can affect individuals with disabilities’ (i.e., handlers/consumers) ability to acquire, train with, or live with an SDog in Canada. The present study aims to develop empirical knowledge on SDog handler/consumer experiences with navigating the Canadian SDog industry. Current, former, and prospective Canadian SDog handlers/consumers (N = 263) were surveyed on personal demographics, SDog acquisition experiences, and experiences training/working with an SDog. Descriptive statistics were calculated for all quantitative data and open-ended responses were content analyzed. Participants reported diverse experiences and processes in acquiring an SDog. The typical respondent was a novice SDog handler, inexperienced in formally training with dogs, grew up with dogs and cats, had no negative experiences with dogs, needed an SDog to support a mental health disability/ies, trained their SDog on their own or with some professional support, did not join a wait list, completed basic obedience, public access, and/or task-specific training with their SDog 0 to 5 h daily using positive reinforcement or fear-free training approaches, spent on average $2567 to purchase their dog and $6695 for ongoing training costs, and had minimal but satisfactory experiences with Canadian SDog organizations. There are numerous gaps in our understanding of SDog team experiences in Canada, and future research is warranted. Full article

Background/Objectives: Quality improvement (QI) is widely used in global health to improve patient outcomes, reduce costs, and strengthen service delivery. The Texas Children’s Global Health Network (TCGHN) includes nine independent non-governmental organizations supporting healthcare in low- and middle-income countries (LMICs), with pediatric HIV clinical centers of excellence in six countries in sub-Saharan Africa (SSA), supported technically by Baylor College of Medicine. We describe the development of a virtual QI Community of Practice (QICoP) to connect geographically dispersed teams and strengthen local QI capacity. Methods: In 2022, QI and global health experts convened to design the QICoP and assess site readiness. Participants were recruited from the sites based on their interest. Meetings were held via Zoom, with attendance, evaluations, and organizer notes tracked. QI tools were used to identify site strengths, challenges, and strategies to improve engagement. Results: From January 2023 to September 2024, the QICoP held 15 sessions, including 3 abstract-writing workshops, averaging 35 participants per session. QI abstract submissions to the annual Network meeting doubled from 2023 to 2024. Across 15 sessions, 83% of participants reported positive experiences. Based on participant feedback and QI sessions from the 2022–2024 Network meetings, we developed a blended QI basics curriculum, recruited site champions to improve communication, and launched a WhatsApp platform to enhance engagement. Conclusions: A virtual QICoP may be a feasible model to support professional development, increase knowledge and idea sharing, and connect individuals across geographies over a shared mission to improve healthcare quality in LMICs. Full article

Cities worldwide face persistent inequalities in access to urban green spaces, a condition associated with reduced physical activity and poorer mental wellbeing. In high-density metropolises, land scarcity further intensifies these disparities. Although recent studies have highlighted the potential of small-scale green spaces, limited attention has been paid to their system-level and spatially differentiated roles within urban green infrastructure. Consequently, the equality implications of micro-scale interventions such as pocket parks across urban–rural gradients remain insufficiently understood. This study addresses this gap by examining the accessibility impacts of 475 pocket parks in conjunction with 433 large parks in Shanghai, using a multidimensional, citywide analytical framework. The Gaussian two-step floating catchment area (G2SFCA) method was applied within the 15-min community life circle framework to assess service coverage, population served, and per capita accessible green space, as well as their urban–rural differentiation patterns. Results indicate that the inclusion of pocket parks modestly increases overall service coverage (+3.41%) but substantially improves population access (+7.83%), converting 143.79 km² of previously unserved areas into areas with basic green space provision. Spatial effects vary along the urban–rural gradient: pocket parks generate high marginal population-service benefits and improve spatial equality in urban cores, strengthen green space service networks in peri-urban areas, and produce incremental accessibility gains in outer suburbs. Taken together, these findings provide a novel system-level understanding of how pocket parks function within urban green infrastructure networks, offering policy-relevant evidence to guide equality-oriented planning in high-density cities. Full article

Child and adolescent mental health (CAMH) is a global concern that is increasingly recognized and prioritized. Worldwide, mental health conditions affect a significant number of children and adolescents; however, access to CAMH services remains limited. This study sought to explore the implementation of child and adolescent mental health services in the rural Chris Hani District of the Eastern Cape province, South Africa, from the perspectives of health professionals and teachers, focusing on strengths, weaknesses, opportunities, and threats. Using a qualitative approach, a sample of 36 participants (12 health professionals and 24 teachers) was purposively recruited. Data were collected through face-to-face, semi-structured individual interviews and focus group discussions. Thematic analysis identified several strengths, including effective screening and identification of CAMH problems, training in psychiatry and psychology, teacher support, collaboration with stakeholders, and the availability of policy and guidelines. Key weaknesses included inadequate CAMH training, a limited CAMH workforce, personal barriers, guidelines primarily oriented toward physical health, and insufficient basic infrastructure. Opportunities for improvement include enhancing the skills of the existing workforce, increasing engagement in extramural activities, and empowering parents with knowledge of available CAMH services. Identified threats included the normalization of CAMH symptoms, challenges involving parents and feeder schools, stigma, poor stakeholder collaboration, and inadequate guidelines. Overall, the analysis of strengths, weaknesses, opportunities, and threats reflects the broader challenges present in low-resource settings that hinder the implementation of CAMH services. It also highlights the need for integrative approaches to implementing CAMH services in rural contexts, while identifying opportunities to improve service delivery. Full article