Search Results (472)

As university campuses increasingly open to the public and become integrated into urban tourism systems, campus spaces are evolving into institutionalized multifunctional environments shared by students and visitors. However, existing tourism conflict research has mainly focused on traditional resident–tourist relations, with limited attention to institutionalized educational spaces. Taking Hunan University in the Yuelu Mountain Scenic Area, Changsha, as a case study, this study develops a perceived conflict–place attachment–overall impact evaluation framework and tests it using data from 438 student questionnaires and structural equation modeling. The results show that perceived conflict significantly weakens place attachment and reduces students’ positive evaluations of campus tourism impacts, with place attachment serving as a significant mediator. More importantly, the effects are not uniform: only economic and social conflict significantly reduce place attachment, campus belonging amplifies rather than buffers the negative effect of perceived conflict, and study duration does not significantly moderate this relationship. In addition, students whose daily study or living spaces are closer to tourism core areas report stronger perceived conflict and greater vulnerability to its consequences. By showing that tourism conflict in campus spaces is selective and context-dependent, this study extends tourism conflict theory beyond conventional community settings and offers practical implications for conflict-sensitive, spatially differentiated, and student-oriented campus tourism governance. Full article

The Internet of Things (IoT) is increasingly recognized as a core digital infrastructure supporting digital transformation, particularly in complex environments such as university campuses, which can be conceptualized as smart campus ecosystems. However, many organizations encounter difficulties when implementing IoT due to insufficient organizational and technological readiness. This paper presents the University Campus IoT (UCIoT) readiness assessment model, which conceptualizes IoT readiness as a manifestation of organizational digital transformation readiness within the smart campus context. The model consists of 24 dimensions grouped into organizational and technological categories and is implemented through structured questionnaires and a supporting software tool. The model was developed using the design science research methodology and evaluated through a case study conducted at the University Campus of Novi Sad, Serbia. The results demonstrate that the model provides a structured and realistic assessment of IoT readiness and helps identify organizational and technological bottlenecks relevant to IoT implementation. The main contribution of this research is a context-specific readiness assessment framework tailored to university campuses that integrates organizational, technological, and client readiness dimensions. Full article

This study examines the interplay among ICT skills, perceptions of employability, and entrepreneurial intention among university students, focusing on how generic and scarce ICT competencies influence their confidence in employment opportunities and their inclination toward entrepreneurial intentions. Drawing on the Theory of Planned Behaviour, the study explores how digital competencies shape entrepreneurial attitudes, perceived feasibility, and behavioural readiness. A quantitative research approach was adopted, and data were collected using a convenience sampling method from 117 university students enrolled in ICT-related programmes. A reliability analysis, exploratory factor analysis, correlation analysis, regression analysis, and chi-square tests were used to examine the relationships among ICT skills, employability perceptions, and entrepreneurial constructs. Findings reveal that students possess strong generic ICT skills and high self-efficacy, suggesting confidence in their general capabilities and labour market readiness. However, scarce ICT skills were found to be unevenly distributed across departments and campuses, indicating disparities in access to advanced technical training. Regression results show that both generic ICT skills (β = 0.27, p < 0.01) and scarce ICT skills (β = 0.34, p < 0.001) significantly predict employability (R² = 0.29), while generic (β = 0.29, p < 0.01) and scarce ICT skills (β = 0.46, p < 0.001) significantly influence perceived feasibility (R² = 0.41). Furthermore, employability (β = 0.31, p < 0.01) and perceived feasibility (β = 0.25, p < 0.05) significantly predict entrepreneurial intention (R² = 0.27). The results also show strong entrepreneurial desirability among students, yet perceived feasibility remains comparatively low, highlighting a gap between entrepreneurial aspiration and perceived capability. Importantly, advanced ICT competencies strengthen students’ confidence in their ability to pursue entrepreneurial activities. The study concludes that strengthening scarce ICT competencies, experiential entrepreneurship education, and industry collaboration within higher education institutions is essential for enhancing graduate employability and entrepreneurial potential in South Africa. Full article

Campus streetscapes are a key part of universities’ everyday public realm, yet the same scene may be perceived positively in one dimension while negatively in another. To diagnose such multi-dimensional perceptual differences and translate them into actionable design evidence, this study develops an interpretable vision analytics framework for adaptive campus design. Using 72,733 Baidu Street View images collected from 41 campuses in mainland China, the study integrates ResNet-50-based perception prediction, spatial element extraction, XGBoost–SHAP-based mechanism interpretation, Kruskal–Wallis H testing, and GIS-based scene mapping. Supported by supplementary in situ validation, six types of multi-dimensional perceptual differences were identified. Sky, buildings, vegetation, hardscape, and terrain were found to be the five most important spatial elements overall, among which sky, buildings, and vegetation repeatedly emerged as the dominant core elements distinguishing different perceptual types. These elements do not act independently or linearly, but jointly shape different types of multi-dimensional perceptual differences through nonlinear threshold effects and interactions. These perceptual difference types were further found to cluster in recognizable campus scenes, including main roads, plazas, lawns, forest belts, and lakeside spaces. Based on these findings, scene-specific piecemeal optimization strategies were derived to support the coordinated enhancement of perceived safety, liveliness, and beauty. Overall, the study shows that campus perception is shaped by holistic spatial configurations rather than the simple accumulation of isolated elements, and provides a quantitative basis for iterative, feedback-oriented adaptive campus design. Full article

(1) Background: University food service establishments are complex environments, where high turnover and handling practices create conditions for microbial persistence. Food-contact surfaces (FCSs) and handlers’ hands (FHs) function as dynamic reservoirs, facilitating the circulation of contaminants within these institutional settings. This study aimed to characterise the microbiological contamination of FCSs and FHs in university food service establishments in Northern Portugal and to evaluate their role as interconnected environmental reservoirs within the indoor built environment. (2) Methods: A total of 590 samples were analysed from two universities in Northern Portugal (L1, L2), comprising 380 FCS and 210 FH samples. Aerobic colony counts (ACCs), Enterobacteriaceae, and Moulds and yeasts (MYs) were analysed according to ISO methods. FH samples were additionally screened for Escherichia coli and Staphylococcus spp. (3) Results: Overall, 35.5% of FCSs were classified as non-compliant, according to microbial criteria based on guideline values from the National Health Institute Dr. Ricardo-Jorge (INSA), with non-compliance primarily driven by elevated ACCs and MYs. Based on a Generalised Linear Model (GLM), establishment types (canteens vs. cafes) were associated with Enterobacteriaceae levels (p = 0.016), whereas ACCs and MYs were not significantly associated with district, establishment type, or functional surface category (p > 0.05). Differences between left and right hands showed small effect sizes, and location was a highly significant determinant of hand hygiene acceptability. (4) Conclusions: FCSs and FHs act as relevant contamination reservoirs in these settings. The results indicate that Enterobacteriaceae levels on FCSs differed between establishment types, while ACCs and MYs showed no significant variation across the evaluated environmental factors. Marked differences in hand hygiene acceptability between campuses support the implementation of targeted interventions, including the optimisation of cleaning and disinfection protocols, the structured training of food handlers, and the routine microbiological monitoring of surfaces and hands to improve institutional food safety. Full article

Background/Objectives: Food insecurity affects college students at nearly twice the rate of US households, with documented impacts on student academic performance, physical and mental health, and socialization. While frameworks exist to conceptualize general food insecurity and food insecurity in specific contexts, researchers and practitioners lack resources to guide system-level responses to food insecurity on college and university campuses and assess those responses. In this study, we aimed to develop and validate a simple yet comprehensive framework for assessing food insecurity responses within the context of higher education. Methods: We adapted an eight-phase process for framework development: (1) map selected data sources within the multidisciplinary literature, (2) read and categorize selected sources, (3) identify and name concepts, (4) deconstruct and categorize concepts based on their features, (5) group similar concepts together, (6) synthesize concepts into a framework, (7) validate the framework using expert panel review, and (8) revise as necessary. Results: The developed Campus Food Aid Self-assessment (CFAS) framework consists of six dimensions: Student Services and Supports; Involvement; Advocacy; Awareness and Culture Efforts; Education and Training; and Research, Scholarship, and Creative Works. Expert panelists (n = 7) reviewed the proposed framework and confirmed the clarity, comprehensiveness, and representativeness of the proposed dimensions, conceptual definitions, and operational variables. Conclusions: With a comprehensive yet accessible structure, the CFAS framework supports the development, coordination, and improvement of campus-based strategies to address food insecurity and support positive student outcomes. Full article

Against the backdrop of globalization and rapid urbanization, the weakening of regional cultural identity has emerged as a significant challenge in contemporary architectural practice, particularly within the context of large-scale campus development. University architecture must navigate the complex task of balancing functional demands with long-term cultural and social sustainability. However, the prevalence of homogenized architectural forms in many newly constructed campuses often undermines local distinctiveness, leading to diminished place identity and reduced social sustainability. In response, this study takes the Yan’an University new campus in China as a representative case to explore how regional culture can be sustainably integrated into campus architecture through spatial organization, typological strategies, and symbolic translation. The study employs qualitative analysis and a life-cycle perspective, integrating architectural semiotics and typological methods to construct a multidimensional analytical framework of “space–material–culture”. This framework is systematically applied to examine how the loess culture, revolutionary heritage, and folk art of Yan’an are translated and expressed in a contemporary context. The findings reveal that achieving cultural sustainability does not rely on direct imitation of historical forms but rather on an adaptive spatial framework, modular architectural typologies, and a performance-integrated material system, which together shape a resilient and organically evolving campus entity. Specifically, the design employs strategies such as “symbolic translation from archetype to type”, “dialogue between traditional materials and contemporary craftsmanship”, and “spatial translation from enclosed courtyards to open landscapes”. These approaches facilitate the organic embedding of regional cultural genes, promote the continuity of collective memory, strengthen local identity, and enable phased development throughout the campus’s life cycle. By extending the concept of sustainability from environmental performance to cultural continuity, social cohesion, and spatial adaptability, this study provides actionable design pathways and theoretical references for campus development in regions with profound historical backgrounds. Full article

Background/Aims: Resilience is a protective factor that helps nursing students manage the challenges of clinical education. However, the relationships between resilience, clinical internship satisfaction, and psychological well-being remain underexplored. To examine the associations between resilience, satisfaction with clinical internships, and psychological well-being among undergraduate nursing students across academic years and campuses. Methods: A cross-sectional observational study was conducted. A total of 302 undergraduate nursing students from four campuses of a northern Italian university completed three validated instruments: the 14-item Resilience Scale (RS-14), the Clinical Learning Quality Evaluation Index (CLEQI), and the 12-item General Health Questionnaire (GHQ-12). Descriptive, correlational, and multiple regression analyses were performed. Results: Resilience was positively associated with clinical learning satisfaction and inversely associated with psychological distress. Regression models confirmed resilience as a significant predictor of both clinical satisfaction (p < 0.01) and psychological well-being (p < 0.05), adjusting for age and gender. Conclusions: Resilience plays a crucial role in improving both educational satisfaction and psychological outcomes in nursing students. Integrating resilience-building strategies into nursing curricula could enhance learning experiences and well-being. Full article

As pioneers in the reform of higher education in China, China’s new-type universities, often referred to as the fourth generation of universities, play a crucial role in driving the iteration of educational concepts and innovation in planning and design through their campus construction. As an emerging campus type, existing research largely focuses on planning and design schemes and the static form of campus space, lacking a systematic exploration of its historical dynamic evolution and core influencing factors. This study uses Southern University of Science and Technology (SUSTech), which is a typical example of this new type of university, as a case study to analyze its spatial evolution characteristics, core driving factors, and spatial shaping mechanisms, considering the interactions among multiple stakeholders from the perspective of dynamic campus spatial development. It comprehensively utilizes literature and archive analysis, drawing and image comparison, and field research to systematically trace the entire lifecycle of SUSTech’s campus planning and construction. By combining cognitive maps and questionnaire surveys, it can explore the spatial imagery characteristics of the completed campus, analyze the key influencing factors of its spatial evolution, and propose critical thinking on related issues. It finds that SUSTech’s campus spatial form gradually took shape through a game of radical and eclectic ideas, exhibiting a dual characteristic of innovative pursuit and practical adaptation in terms of site attitude, innovative educational concepts, and planning and design concepts. Spatial evolution is the result of the combined effects of the demands of multiple stakeholders, changes in educational concepts, and the urban development context. This also reflects problems such as an imperfect consultation mechanism, inconsistent planning concepts, and insufficient functional adaptability of architectural images, which hinder the effective implementation of strategies for optimizing campus spaces in the context of China’s higher education transformation. This study reveals the inherent laws governing the dynamic evolution of new university campus spaces during the historical stage of China’s higher education transformation, providing theoretical and practical support for the planning, construction, and operational optimization of similar campuses. Full article

With the wave of new campus construction gradually receding, the focus of green campus planning and design is shifting toward the low-carbon retrofitting of the existing built environment. University campuses often face challenges such as dispersed land use, inadequate spatial planning, disorganized road layouts, suboptimal landscape design, and low energy efficiency. Grounded in a review of current research on campus carbon emissions, this study integrates green technology indicators with planning and design approaches to establish a multi-scale, context-adaptive planning framework for carbon control, spanning five dimensions: intensive land use, spatial layout, transportation systems, landscape development, and facility integration. Employing a combined approach of bibliometric analysis and case studies, this research examines and compares typical university campuses both domestically and internationally to validate the effectiveness of the synergistic “technology-system-behavior” pathway in mitigating high-carbon lock-in. Through a systematic comparative analysis of representative low-carbon campuses, the synthesized results indicate that under optimal operational conditions, the clustered reorganization of functional zones demonstrates the potential to reduce transportation carbon emissions by approximately 25%; comprehensive retrofitting of building envelopes can decrease building energy consumption intensity by an estimated 30%; a multimodal coordinated transport system can increase the share of non-motorized travel to around 65%; establishing high carbon-sequestration plant communities can enhance carbon sink capacity by up to 30%; and smart facility integration can reduce overall campus carbon emissions by a projected range of 25–40%. It should be noted that these quantitative outcomes represent high-probability potential ranges, with actual performance subject to behavioral and operational fluctuations. This study provides theoretical support and practical pathways for achieving “near-zero carbon campuses” and underscores the important demonstrative role that higher education institutions can play in addressing climate change. Full article

Traditional pedestrian routing algorithms typically minimize physical distance or travel time, often overlooking contextual factors that influence route choice in digitally connected environments. As public WiFi infrastructure becomes increasingly prevalent in smart-city districts and university campuses, digital connectivity may influence pedestrian mobility decisions. This study introduces P-WARP, a multi-factor routing and inference framework that reconstructs latent pedestrian preferences by integrating physical effort, environmental walkability, and WiFi connectivity within a unified semantic graph. The empirical analysis is conducted on the Chiang Mai University campus, a digitally connected environment serving as a smart campus testbed. The framework integrates heterogeneous spatial datasets, including OpenStreetMap topology, Shuttle Radar Topography Mission elevation data, environmental walkability grids, and WiFi roaming logs collected via a custom mobile sensing application from 21 volunteers across 71 verified walking trips. Two routing strategies are evaluated: a Global Static Model, representing infrastructure-based connectivity assumptions, and a Trip-Centric Dynamic Model, incorporating realized connectivity histories. Model parameters are calibrated using Bayesian Optimization with five-fold cross-validation. Results show that incorporating realized connectivity reduces trajectory reconstruction error by 6.84% relative to the baseline. The learned parameters reveal a notable detour tolerance, suggesting that stable digital connectivity can influence pedestrian route choice in digitally instrumented environments. Full article

On university campuses, trees and green spaces shape how students and staff move and use outdoor spaces. To support planning, tree species information is needed at the level of individual trees. Tree species classification from UAV RGB imagery remains difficult in complex campus scenes because roads, buildings, shadows and subtle inter species differences degrade recognition. To address background interference, the loss of subtle fine-grained cues before tokenization, and insufficient local structure modeling in lightweight transformer-based classification, we propose TreeSpecViT for tree species classification. It uses a MobileViT backbone and a Background Suppression Module (BSM) to reduce clutter from non-canopy regions. A Fine-Grained Feature Guidance (FGF) module is inserted before the unfold operation to enhance canopy details and guide tokenization toward key regions. $1\times 1$ convolutional neck layers align channels, and a Global and Local Fusion (GLF) module jointly models overall crown semantics and local textures for species recognition. From the predicted masks and species labels, we build an individual tree digital archive. The archive stores per tree geometric attributes and can be linked with grids of campus activity intensity to analyze how activity patterns relate to vegetation structure. TreeSpecViT achieves an Accuracy of 87.88% (+6.06%) and an F1 score of 76.48% (+5.08%) on the SZUTreeDataset. On our self constructed NJFUDataset, it reaches 76.30% (+5.10%) in Accuracy and 70.10% (+7.20%) in F1. These results surpass mainstream models. Ablation experiments show that the modules jointly reduce background clutter and enhance canopy features. Overall, TreeSpecViT supports campus scale analyses that link human activity intensity to vegetation patterns and provides a practical basis for planning and adjusting campus green spaces. Full article

This article examines the Unité Pédagogique d’Architecture in Toulouse (UPAT) as a paradigmatic example of the palimpsestic architectures that characterize many contemporary university campuses. Conceived in the immediate aftermath of May 1968, the school emerged at a moment when pedagogical reform, political commitment, and architectural experimentation became closely intertwined. These conditions gave rise to a singular spatial organization based on a combinatory grid, intended to give architectural form to a democratic ideal of education grounded in openness, flexibility, and collective agency. The study adopts a historical–critical methodology based on the systematic analysis of primary and secondary sources, complemented by original graphic interpretations. This approach makes it possible to read the UPAT simultaneously as a didactic instrument and as an ideological manifesto, one whose ambitions were inherently marked by internal tensions and contradictions. A diachronic examination of subsequent extensions and transformations reveals how these founding intentions were progressively reinterpreted, constrained, or displaced in response to changing institutional, social, and cultural conditions. Taken as a whole, the evolving trajectory of this “manifesto school” illuminates the ways in which architectural ideals—particularly the pursuit of openness—are negotiated over time, offering a critical perspective on the reciprocal shaping of architecture, pedagogy, and institutional identity within the history of university buildings. Full article

Background: Food insecurity is defined as having limited access to food, while nutrition insecurity is characterized as a lack of consistent access to affordable and acceptable foods that support health, manage or prevent disease, and meet daily nutritional needs. College students face increased risks of food and nutrition insecurity, yet the issue is understudied. This study examined the patterns of food and nutrition insecurity among students at a public university across main and regional campuses. Methods: We conducted a cross-sectional survey using Qualtrics for participant recruitment in November 2023. The USDA’s 10-item toolFood insecurity was measured using the USDA’s 10-item tooland housing security was measured using the U.S. Census Bureau’s National Survey of Income and Program Participation 6-item tool. We used ANOVAs and logistic regression to examine differences across demographics. Data analysis was done using SPSS version 29. Results: There were 6538 student responses. Of these, 36% of students were food insecure, while 20% were nutritionally insecure. Comparatively, food and nutrition insecurity were significantly higher among students with low-income (p < 0.001), housing instability (p < 0.001), a higher number of dependents, and those indicating that they were single/unmarried (p = 0.005), first-generation (p < 0.001), and Pell grant eligible (p < 0.001). Annual income and housing security emerged as significant predictors: lower income was approximately twice as likely to be associated with food insecurity, while those reporting housing insecurity were six times more likely to experience food insecurity. Conclusions: The study findings reveal disparities in food and nutrition insecurity among a diverse student population at a public university. Addressing the issue among them is crucial and requires a multifaceted, inclusive approach. Emergency financial assistance and structural interventions that promote housing security are warranted. Full article

Public Open Spaces (POSs) on university campuses play a vital role in promoting student well-being, fostering social interaction, and enhancing academic engagement. Yet, in Indian technical institutions, these spaces are often underutilized due to poor design integration, lack of thermal comfort, and minimal user-centered planning. This study applies the Campus Open Space Index (COSI) to assess the functionality, inclusivity, and experiential quality of POSs at two premier Indian institutions, IIT Delhi and IIT Roorkee. COSI evaluates campus POSs across five dimensions: Physical Planning, Engagement, Need Perception & Behavior, Thermal Comfort, and Management. Through a mixed-methods approach involving surveys (n = 522), field observations, and spatial mapping, six open spaces from each campus were analyzed. The aspect-wise COSI results indicate that IIT Delhi performs better in Management (75.84%) and Thermal Comfort (60.56%), while IIT Roorkee performs better in Engagement (71.68%); both campuses show deficits in universal accessibility and climate responsiveness. The study reveals that POS effectiveness depends not only on spatial layout but also on user behavior, comfort, and perceived safety. COSI provides a replicable and scalable assessment model that supports data-driven decision-making for campus planners and administrators. This research advocates for participatory, student-centric planning approaches to transform campus POSs into more inclusive, responsive, and sustainable environments aligned with educational and social goals. Full article