Search Results (478)

The positive economic, social, and environmental influences of the active sport tourism market are well documented today. This study aimed to map brand association patterns across the different stages of the Psychological Continuum Model (PCM) within the context of winter skiing. The PCM was used as the theoretical framework to categorize participants into stages according to their skiing involvement levels. The data was collected from recreational skiers at two major ski resorts in Greece. Participants were classified into the PCM stages. The findings revealed that associations with the activity significantly discriminated against PCM stages. Product delivery associations were salient only at the Attraction stage, indicating the importance of functional evaluations for novice participants. In contrast, tradition and peer acceptance associations consistently predicted membership across all stages, highlighting their enduring symbolic and social relevance. Escape-related associations were diminished in higher commitment levels, whereas importance and affective associations emerged as key predictors in the Attachment and Allegiance stages. The study extends the PCM by integrating brand association theory in the context of sport tourism and offers practical implications for stage-specific branding strategies in participatory sports services. Full article

Children’s everyday routes to school are increasingly recognised as important environments shaping physical and mental well-being. Yet, their emotional dimension remains insufficiently integrated into health-oriented urban design research, particularly in cities without formalised School Street policies. This study examines how children in Belgrade perceive and emotionally experience their everyday school routes and how such evidence can inform context-sensitive urban design. A mixed-method, child-centred participatory approach was applied with primary school pupils, combining participatory evaluation boards, cognitive route mapping, photo documentation, and facilitated classroom discussion. The material was analysed through qualitative coding, triangulation, and a health-oriented reinterpretation of the SCORELINE framework (h_SCORELINE). The findings reveal recurring stress nodes associated with traffic-dominated streets, complex crossings, obstructed sidewalks, and poorly legible route segments, which children linked to fear, discomfort, and insecurity. By contrast, greenery, recognisable landmarks, visually calm environments, and wider pedestrian spaces emerged as joy nodes associated with comfort, enjoyment, and emotional ease. These patterns suggest that children’s emotional-spatial evidence can enrich the assessment of school-route environments beyond conventional traffic indicators alone. By linking children’s lived experiences with health-oriented urban design, the study provides evidence-based support for the gradual introduction of School Streets in Belgrade. It offers a transferable framework for integrating child-centred experiential knowledge into healthier street design. Full article

Artificial Intelligence (AI) is increasingly used in recruitment, performance management, and algorithmic work management, with potentially divergent implications for worker inclusion, exclusion, and discrimination. This systematic review synthesizes peer-reviewed evidence on (i) which AI applications in labor-market settings are linked to inclusion/exclusion outcomes, (ii) the mechanisms and contextual moderators shaping these effects, and (iii) governance and human-resource management responses proposed in the literature. Guided by PRISMA 2020, we searched Scopus and Web of Science (Title/Abstract/Keywords) for English-language journal articles published between 2015 and 2025. Nineteen studies met the eligibility criteria and were analyzed using qualitative thematic synthesis. The evidence indicates an ambivalent pattern: AI can support inclusion through assistive technologies and improved matching, but it can also exacerbate occupational polarization, digital exclusion, and discriminatory outcomes when models are trained on biased data or deployed without transparency and accountability. Outcomes depend on complementary organizational practices, workers’ access to skills, and the regulatory environment. Based on an evidence map of the included studies, we propose a hybrid governance model combining technical and organizational audits, inclusive upskilling/reskilling, participatory regulation, and responsible HR policies to align AI innovation with decent and inclusive work. Given the focused Title/Abstract/Keywords query and the small, heterogeneous corpus, the findings are interpreted as a scoped evidence map rather than an exhaustive census of all AI-and-work research. The model’s contribution lies in integrating four interdependent governance layers—technical, organizational, workforce, and regulatory—within a single labor-market framework. Accordingly, the review should be read as a focused qualitative evidence synthesis, and the proposed model as an evidence-informed conceptual framework that warrants future empirical validation. Full article

Cooperation plays a central role in the sustainability of agricultural value chains. This study analyzes cacao and dairy producer organizations in the Department of Caquetá, Colombia, with three objectives: to characterize their current organizational status, to understand legal representatives’ perceptions of the role of cooperation in strengthening their organizations, and to examine the structure of cooperation networks across different stages of the value chains. A qualitative approach was adopted, based on structured interviews, participatory network-mapping workshops, and secondary data analysis. The results show that cacao organizations exhibit higher levels of institutional consolidation than dairy organizations. Representatives’ perceptions indicate that in cacao, cooperation is primarily oriented toward administrative and strategic strengthening, whereas in dairy it is concentrated on production, budgeting, and marketing. Network analysis reveals a predominance of linking-type cooperation, characterized by vertical relationships with external actors, which enhances access to resources but also generates dependency. Overall, network structure and the prevailing types of cooperation influence organizational autonomy and collective performance in Amazonian contexts. Full article

Urban soundscape management is a central challenge to the livability and sustainability of cities and requires approaches that complement level indicators with frameworks capable of integrating context, use and experience. In this framework, the present work applies a multilayer methodology to the Old Town of Bilbao, understood as a useful case study to explore the applicability of soundscape reading in historic centers with intense coexistence of commercial, hospitality and catering uses, pedestrian, logistical and cultural uses. The methodology is organized into two phases. The first focuses on the recording and documentation of control points and routes through sound fieldwork, perceptual descriptions and homogeneous systematization of information. From this corpus, a qualified sound map and a first visual characterization of the sound identity are elaborated. The second phase presented in this article, consists of the interpretative synthesis of the corpus through five analytical dimensions and the preparation of fragments and sound sequences conceived for future application through reactivated listening. The results are presented at three levels: (1) a traceable documentary corpus of records, files and synthetic representations; (2) a comparative reading by dimensions that identifies spatial contrasts between interior, exterior and perimeter, as well as relationships between urban form, uses, persistence, masking and salience; and (3) a set of operational audio materials prepared for subsequent comparison with inhabitants and users. In a transversal way, type–token reading distinguishes between the diversity of sounds and dominance by repetition. The article does not yet carry out participatory validation of these materials; its contribution consists of proposing and applying a traceable analytical protocol as a basis for future phases of social contrast and applied discussion. Full article

Place-based approaches have gained significant attention as a means of addressing entrenched disadvantage through collaborative, locally responsive service delivery, yet implementation has yielded mixed results and the systemic factors that facilitate or impede inter-organisational collaboration remain inadequately understood. This study applied participatory systems mapping as part of a systemic inquiry to identify leverage points for place-based integrated service delivery in the City of Casey, an outer-metropolitan municipality in Melbourne, Australia. Twenty-one representatives from the Casey Futures Partnership engaged in group model building workshops, co-producing a causal loop diagram containing 33 factors and 104 directional connections. The resulting map was analysed using a blended analytical approach combining network metrics with the Action Scales Model. Funding availability and criteria emerged as the most central factor within the system, while belief-level factors, including territorial behaviour and resource and collaboration mindset, were found to be substantially shaped by upstream structural conditions. Factors combining network influence with deeper system positioning and amenability to local action included awareness of community needs and priorities, trust and willingness to collaborate from funders, inter-organisational communication, and advocacy effectiveness. The findings support multi-level place-based approaches that address underlying beliefs and structural conditions alongside operational improvements. Full article

Urban mobility is a central challenge for sustainable and inclusive cities, as climate change, congestion, and spatial inequality increasingly reveal mobility patterns as expressions of deeper social and spatial structures. Inclusive urban mobility examines whether transport systems equitably support the everyday movements and accessibility needs of historically marginalized and underserved populations. The integration of artificial intelligence with geographic information science, combined with multimodal geospatial data fusion, provides powerful tools to diagnose and address these disparities by integrating heterogeneous data sources such as satellite imagery, GPS trajectories, transit records, volunteered geographic information, and social sensing data into scalable, high-resolution urban mobility analytics. This paper presents a systematic survey of recent GeoAI studies that fuse multiple geospatial data modalities for key urban mobility tasks, including accessibility mapping, demand forecasting, and origin–destination flow prediction, with particular emphasis on inclusive and equity-oriented applications. The review examines 18 multimodal GeoAI studies identified through a PRISMA-ScR screening process from 57 candidate publications between 2019 and 2025. The survey synthesizes methodological trends across data-, feature-, and decision-level fusion strategies, highlights the growing use of deep learning architectures, and examines emerging techniques such as knowledge graphs, federated learning, and explainable AI that support equity-relevant insights across diverse urban contexts. Building on this synthesis, the review identifies persistent gaps in population coverage, multimodal integration, equity optimization, explainability, validation, and governance, which currently constrain the inclusiveness and robustness of GeoAI applications in urban mobility research. To address these challenges, the paper proposes a structured research roadmap linking these gaps to concrete methodological and governance directions including equity-aware loss functions, adaptive multimodal fusion pipelines, participatory and human-in-the-loop workflows, and urban data trusts to better align multimodal GeoAI with the goals of inclusive, just, and sustainable urban mobility systems. Full article

Corporate food museums are increasingly recognised as strategic heritage infrastructures capable of mediating between industrial memory, territorial identity, and contemporary societal challenges. This paper proposes a conceptual shift that repositions corporate food museums from static repositories of brand heritage to Living Labs for sustainable, inclusive, and participatory food innovation. Drawing on the EU-funded GNAM project, the study adopts a qualitative methodology combining the mapping of Italian corporate food museums with an analysis of European Living Labs in the food and agri-food domain. The comparative framework informs the development of a heritage-driven Living Lab model articulated around three interconnected dimensions: cultural heritage valorisation, community engagement, and sustainable food system innovation. The model is empirically grounded through a series of design-driven workshops, technology-transfer activities, and digital engagement initiatives conducted within corporate museums and academic laboratories in Southern Italy. These include co-creation processes involving students, citizens, companies, and researchers; experimentation with food waste valorisation, biodegradable and hybrid materials, and 3D food printing; and the deployment of digital platforms and immersive virtual environments. The paper contributes to heritage studies by advancing a replicable framework in which corporate food museums act as active agents of sustainable transformation, linking cultural heritage, technological experimentation, and community participation. Full article

Karst ecosystems play an important hydrological role in regulating regional water availability and supporting biodiversity, yet they face increasing threats from deforestation, land-use conversion, and limited scientific data to inform sustainable conservation efforts. This study aims to assess karst geodiversity, aquatic habitat diversity, and freshwater endemism in the Maybrat Karst, and to explain the linkages among these three aspects as a scientific basis for regional karst conservation. The research employed geospatial analysis and descriptive ecological analysis. Data were collected through satellite image interpretation, participatory mapping, field observations, and a comprehensive literature review. Results show that the Maybrat Karst has very high geodiversity, with ±2322.91 km² (41.49%) of the region classified as karst. All seven karst elements were identified, including 40–56 hills/km², 110 water-filled dolines, 334 springs, 178 subterranean rivers, 90 caves, and three major karst lakes. Aquatic habitat diversity is likewise very high, comprising seven habitat types across the full 100–500 m elevational range, accompanied by 17 Cherax morphotypes, indicating strong environmental differentiation. The literature review identified 18 endemic freshwater species, consisting of five Cherax species, ten rainbowfish species of the genus Melanotaenia, and three additional taxa: Pseudomugil reticulatus, Glossogobius hoesei, and Zenarchopterus ornithocephala. These findings confirm that high karst geodiversity and habitat heterogeneity make the Maybrat Karst a key aquatic endemism center, highlighting the urgent national and global imperative for comprehensive karst protection to safeguard long-term biodiversity and ecosystem sustainability. Full article

This study explores how demystifying Earth Observation (EO) through co-creation pathways and local language can enhance flood resilience and environmental governance in African informal cities. Using case studies from Maiduguri and Hadejia, Nigeria, the research employed a transdisciplinary mixed-methods design combining rapid evidence assessment, surveys, participatory workshops (n = 50 stakeholders) integrating simplified Sentinel-1/2 demonstrations, indigenous knowledge mapping, and pre-/post-engagement surveys on EO familiarity. Non-expert participants were trained to interpret satellite data using local language, linking distant teleconnections with local flood experiences. The findings revealed significant gains in EO literacy and improvements in interpretive confidence, gender-inclusive participation, and policy engagement. Localizing the curriculum enabled participants to translate technical EO concepts into locally meaningful narratives, fostering cognitive empowerment and practical application in flood preparedness and advocacy. The study demonstrates that data democratization is not only a matter of open access but also of open understanding. It advances a conceptual model linking Demystification, Literacy, Empowerment, Co-Production and Resilience, positioning EO as a social technology that bridges scientific and indigenous knowledge systems. The findings contribute to debates on decolonizing environmental science and propose a potential participatory framework for integrating EO into community-based adaptation, legal accountability, and policy reform across Africa’s rapidly urbanizing landscapes. Full article

In the context of rural sustainability and poverty alleviation within the developing world, a key dilemma facing the international community is to identify suitable strategies and mechanisms to bring multiple stakeholders together to work in efficient and sustainable ways. This paper focuses on the Public–Private–Producer Partnership (4P), a model that involves cooperation between government agencies, business firms, and small-scale producers to foster mutual trust and enhance collaboration through infrastructure development and capacity building in the agricultural value chain. Drawing on evidence from China, Indonesia, Rwanda, Ghana, and Nigeria, this study examines the impact of 4P on crop productivity, agricultural infrastructure, market access, stakeholder empowerment, employment, the land tenure system, and household income. This paper combines value chain analysis, Theory of Change mapping, and both qualitative and quantitative evaluation techniques to assess how the 4P model functions in different institutional and ecological contexts. While the model promotes inclusive growth, it also faces challenges such as price volatility, insufficient long-term sustainability, and limited integration of smallholder farmers into formal value chains. The paper discusses policy implications for improving the 4P model’s effectiveness in poverty alleviation and local economic development, highlighting the importance of better governance structures, financial mechanisms, and market stability. This paper sheds new light on inclusive, justified, and sustainable collaboration mechanisms for participatory agencies and individuals. Full article

Against the background of high-quality development and urban renewal in China, old residential communities have become key areas for improving spatial quality and quality of life. We used the entrance pavilion of Baoshengli North Community as a case study to explore how spatial design and layout can meet residents’ psychological and social needs. Adopting a mixed-methods approach, combining field observation, behavioral mapping, a questionnaire (Total = 105), in-depth interviews, and statistical analysis, a post-occupancy evaluation (POE) was conducted on spatial effectiveness and social functions. The results show that user-oriented spatial design, safety, esthetic quality, and inclusive functions significantly enhance residents’ spatial perception, willingness to use the space, and social interaction. Differentiated spatial preferences and potential conflicts among diverse resident groups were also identified. Targeted design interventions can effectively strengthen the connection between spatial use and subjective perception, and participatory and equitable strategies help promote social harmony and justice. This study enriches the post-occupancy evaluation system for the renewal of old communities from psychological and social dimensions, and provides practical references for user-centered, inclusive, and sustainable public space design in urban renewal practices. One limitation of this study is that data were collected over a single period, which restricts the analysis of seasonal impacts on spatial usage. Full article

Background/Objectives: To identify and prioritize adolescents’ motivations for alcohol consumption using a participatory qualitative approach. Methods: We conducted a concept mapping study with 39 adolescents aged 15–16 years from a public secondary school in Santiago de Compostela, Spain. Participants generated statements in response to a focal question about reasons for drinking, grouped them into categories, and then rated each statement according to perceived frequency and importance using a five-point Likert scale. Results: A total of 41 statements were generated and organized into eight clusters: peer approval, influence, enjoyment, experimentation, fun, disinhibition, social pressure, and coping. Motivations related to fun, peer dynamics, and disinhibition received the highest ratings for both frequency and importance. In contrast, motivations linked to advertising, social media, and influencers were rated lowest. A strong positive association was observed between perceived importance and reported frequency across statements. Conclusions: Adolescents identified enjoyment and peer dynamics as the primary motivations for alcohol use, emphasising the significance of social influences in adolescent drinking behaviours. Despite the necessity for cautious interpretation of findings due to the context-specific nature of the sample, the results suggest that prevention efforts may benefit from the promotion of alcohol-free social environments, the strengthening of social-emotional skills, and the involvement of adolescents in preventive initiatives. Full article

In the canon of Soviet travel writings of the 1920s–30s, Andrei Bely’s lesser-known book Veter s Kavkaza (1928, not reprinted since its first publication) and the essay Armenia (1929) are something of an oddity. They are generally seen аs an active attempt on his part to become a Soviet writer. This attempt by all accounts had very limited success, but the intention was genuine, and it enters into a most intriguing constellation with the more successful travel writings of the same period that ostensibly are based on the same practice of participatory observation as was practiced by members of LEF and other literary groups. Bely’s writings are more about observation itself than they are about anything else. His entire approach to the subject matter of his travel narratives is based on an obsessive mapping of the topography of his journey in an attempt to learn (by his own account) the Goethean art of seeing—not just the physical topography but also the past and the future of the human landscape in its revolutionary transformation. Ultimately, Bely’s spatially focused narrative seeks to see and represent time, and for this reason suffers the most spectacular failure, which Bely the Kantian and Bely the Symbolist wants to celebrate, but Bely the Soviet writer desperately tries to overcome. The article examines this failure in the broader political and artistic context of the time. 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