Search Results (1,562)

Trinidad and Tobago (T&T) has regional influence in the Caribbean, with a diversified economy focused on energy, manufacturing, and finance compared to the tourism-related economies of most of the other Caribbean islands. Notwithstanding, this has not translated into equitable opportunities for all, specifically for people with disabilities. A lack of disaggregated employment data thwarts effective policy planning for people with disabilities. This research sought to examine the barriers to their employment in T&T. Underpinned by the social model of disability, a concurrent mixed-methods approach was employed. Emanating from interviews with people with disabilities and key informants, challenges to employment access, employer perceptions, and apathy emerged as key themes, together with the underlying issues of a lack of legislation and inequitable access to mainstream education. The survey findings indicated that 64% of employers had never employed people with disabilities, 57% expressed neutrality regarding future employment of such individuals, and 69% had not introduced workplace accommodations. A key recommendation of the study is the establishment of an employer resource centre that assists employers in creating and maintaining inclusive workplace accommodations for people with disabilities. This study is the first in Trinidad and Tobago to examine these research objectives from multiple perspectives. Full article

This paper addresses the problem of imbalance between coastal and inland areas and recognises the reuse of abandoned buildings as an evolutionary regeneration strategy which, through specific interventions linked by a system of routes for tourism and sport, can gradually trigger sustainable development on a regional scale. It presents research conducted in recent years on behalf of local administrations and continued in national and European projects. The reference context is the Abruzzo region, where coastal, hilly and mountainous areas are a short distance apart and include both densely built-up and populated urban centres and small depopulated towns surrounded by landscapes of high environmental value. The objective is to define, through the responsible use of built resources, viable and sustainable strategies for regeneration and rebalancing oriented towards the concept of transformative resilience. The methodology adopted is divided into phases and includes both theoretical developments and case study applications according to an approach that networks building restoration and reuse interventions in the region. The key results consist of defining a reuse logic that considers the regional territory as a whole, linking different resources, functions and environments. This logic, which envisages the organisation of new functions on a regional scale, emphasises the capacity of building reuse to produce positive effects on the territory and trigger socio-economic development dynamics. This research forms part of the experience underlying a project of significant national interest (PRIN 2022 TRIALs), which will provide guidelines for activating the transformative resilience capacities of inland areas of central Italy. Full article

This study curates and structures knowledge concerning Buddhist learning resources for tourism, presenting it through a virtual tour of Wat Phra Pathom Chedi Ratchaworamahawihan in Nakhon Pathom Province. Employing a mixed-methods approach that integrates both qualitative and quantitative methodologies, the research first establishes a structured knowledge base. This involves developing a comprehensive metadata schema for cataloging the temple’s diverse resources, including both sacred sites and artifacts, to enhance their searchability and accessibility. Subsequently, this knowledge is rendered into a virtual tour, which serves as an exemplary model of a Buddhist digital learning resource for tourism. The findings reveal the extensive diversity of resources within the temple. The developed virtual tour platform allows users an immersive exploration of the site via 360-degree panoramic views. This research presents significant implications for relevant agencies, offering a scalable model for the digital dissemination of cultural heritage. It is anticipated that this initiative will expand global access to and appreciation of the temple’s cultural value, thereby fostering international interest in visitation. Such engagement is poised to stimulate the local economy and bolster Thailand’s image as a premier cultural tourism destination. Full article

The gastronomic identity represents a blend of tradition, local resources, and cultural values that shape the authenticity and distinctiveness of a region’s gastronomy. Mačva, as an area in western Serbia, possesses an exceptionally rich gastronomic heritage whose tourism potential has not been sufficiently valorized. The subject of this research is the examination of the gastronomic identity of Mačva, and the purpose of the study is to determine how domestic tourists perceive the region’s gastronomic identity, which factors shape this identity, and the extent to which socio-demographic and perceptual characteristics influence the likelihood of purchasing traditional food products. The aim of this research is to develop an analytical framework to identify the key factors shaping the gastronomic identity of the Mačva region and to examine their influence on domestic tourists’ perceptions and consumer behavior related to the consumption and purchase of traditional food. The data were processed using exploratory factor analysis and binary logistic regression. The results indicate that respondents recognize the gastronomic culture of Mačva as an important component of the region’s cultural identity. The factor structure confirmed a three-dimensional model of gastronomic identity, comprising cultural–gastronomic heritage, authenticity and the promotion of gastronomy, and the region’s economic and social development. The results suggest that tourists’ intention to purchase traditional products is shaped by selected socio-demographic and perceptual factors, particularly gender and perceptions of gastronomy as a driver of economic and social development. The findings highlight the need for a differentiated approach to the development and positioning of the gastronomic offer, which may serve as a basis for formulating strategies for the development and branding of the Mačva region. Full article

Rural areas are currently facing a deepening “social-ecological divide,” where the fragmentation of natural, economic, and cultural data—often trapped in “data silos”—hinders effective systemic governance. To bridge this gap, in this study, the Rural Landscape Information Model (RLIM), an integrative framework designed to reconfigure rural connections through data fusion, process coordination, and performance feedback, is proposed. We validate the framework’s effectiveness through a comparative analysis of two distinct rural archetypes in China: the innovation-driven Yu Village and the heritage-conservation-oriented Hani Terraces. Our results reveal that digital technologies drive distinct empowerment pathways moderated by regional contexts: (1) In the data domain, heterogeneous resources were successfully integrated into the framework in both cases (achieving a Monitoring Coverage > 80%), yet served divergent strategic ends—comprehensive territorial management in Yu Village versus precision heritage monitoring in the Hani Terraces. (2) In the process domain, digital platforms restructured social interactions differently. Yu Village achieved high individual participation (Participation Rate ≈ 0.85) via mobile governance apps, whereas the Hani Terraces relied on cooperative-mediated engagement to bridge the digital divide for elderly farmers. (3) In the performance domain, the interventions yielded contrasting but positive economic-ecological outcomes. Yu Village realized a 25% growth in tourism revenue through “industrial transformation” (Ecology+), while the Hani Terraces achieved a 12% value enhancement by stabilizing traditional agricultural ecosystems (Culture+). This study contributes a verifiable theoretical model and a set of operational tools, demonstrating that digital technologies are not merely instrumental add-ons but catalysts for fostering resilient, collaborative, and context-specific rural socio-ecological systems, ultimately offering scalable governance strategies for sustainable rural revitalization in the digital era. Full article

Monitoring water quality changes and identifying their driving factors are essential for the effective management of Dongjiang Lake. However, in-depth research on the spatiotemporal variations in the lake’s water quality and the complex interactions between natural and human factors remain insufficient. In this study, we aimed to characterize water quality trends and key physicochemical indicators in Dongjiang Lake by combining a 14-year water environmental dataset (2011–2024) and a correlation analysis. Our results showed that TN and COD_Mn concentrations displayed increasing trends, whereas the NH₃-N concentration showed a decreasing trend throughout the study period. The TN concentration initially decreased earlier in the year before increasing, with values ranging from 0.56 mg/L in September to 0.78 mg/L in November. The trends in COD_Mn concentration were the opposite to those of TN within the year, which first increased from 0.79 mg/L in January to 1.00 mg/L in June, and then decreased to 0.84 mg/L in December. The water level fluctuated inter-annually from 267.63 to 278.04 m during the study period, with a difference of 10.41 m. pH increased from 7.01 to 8.25, and dissolved oxygen decreased from 9.81 to 7.57. The WT fluctuates between 17.83 °C and 19.49 °C (p < 0.05). COD_Mn showed a highly significant positive correlation with transparency, pH, and water temperature, whereas NH₃-N showed a highly significant negative correlation with transparency, pH, and dissolved oxygen. Considering the importance of Dongjiang Lake as a freshwater resource and tourism hub, this study highlights the urgent need to prioritize pollution source control, while accounting for the lake’s deep-water dynamics and incorporating ecosystem-based restoration measures. Full article

This study examines the determinants of talent retention in the hotel sector of Extremadura, a peripheral European region facing depopulation, labour scarcity and structural limitations that threaten the sustainability of its human capital base. Grounded in the Job Demands–Resources (JD-R) theory, the research analyses how a set of key labour resources, specifically professional training, organisational trust, job satisfaction and sustainability commitment, influence employees’ intention to remain in their organisations. These resources are conceptualised as organisational and motivational mechanisms that enhance employees’ capacity to cope with job demands and reinforce their attachment to the organisation. A quantitative survey was conducted with hotel-sector employees in Extremadura; 255 questionnaires were validated, and the proposed structural model was tested using SEM. The findings show that organisational trust is the strongest predictor of retention, followed by professional training and sustainability commitment, while job satisfaction also exerts a significant, though more moderate, effect. These results indicate that enhancing fairness perceptions, strengthening continuous training pathways and integrating sustainability-oriented values are essential strategies for retaining qualified personnel in territories with limited external opportunities. Rather than measuring human capital sustainability directly, the study shows that talent retention operates as a central empirical mechanism through which the sustainability of human capital can be supported in peripheral tourism economies. It concludes by highlighting the need for managerial practices that support transparent leadership, structured professional development and participatory sustainability initiatives, and encourages future research to incorporate longitudinal designs and direct measures of human capital sustainability. Full article

Feature selection and continuous optimization are fundamental yet challenging tasks in machine learning and engineering design. To address premature convergence and insufficient population diversity in Student Psychology-Based Optimization (SPBO), this paper proposes a Multi-Strategy-Enhanced Student Psychology-Based Optimizer (MESPBO). The proposed method incorporates three complementary strategies: (i) a hybrid heuristic initialization scheme based on Latin Hypercube Sampling and Gaussian perturbation; (ii) an adaptive dual-learning position update mechanism to dynamically balance exploration and exploitation; (iii) a hybrid opposition-based reflective boundary control strategy to enhance search stability. Extensive experiments on the CEC2017 benchmark suite with 10, 30, and 50 dimensions demonstrate that MESPBO consistently outperforms 11 state-of-the-art metaheuristic algorithms. Specifically, MESPBO achieves the best Friedman mean ranks of 2.00, 1.67, and 1.67 under 10D, 30D, and 50D settings, respectively, indicating superior convergence accuracy, robustness, and scalability. In real-world feature selection tasks conducted on 10 benchmark datasets, MESPBO achieves the highest average classification accuracy on 9 datasets, reaching 100% accuracy on several datasets, while maintaining competitive performance on the remaining one. Moreover, MESPBO selects the smallest feature subsets on 7 datasets, typically retaining only 2–4 features without sacrificing classification accuracy. Compared with the original SPBO, MESPBO further reduces the fitness values on 7 out of 10 datasets, achieving an average improvement of approximately 10%. These results verify that MESPBO provides an effective trade-off between optimization accuracy and feature compactness, demonstrating strong adaptability and generalization capability for both global optimization and feature selection problems. Full article

The effects of global change on the planet are undeniable, especially in terms of climate change, which is alarming in regions with water resource deficiencies, such as arid and semi-arid territories. One such territory is the Region of Murcia (Spain), in the southeast of which lies the Campo de Cartagena region. It is place where rainwater has historically been essential for settlement and traditional agricultural and livestock farming, giving rise to a valuable, now-forgotten water heritage. Through historical, spatial, climatic, and statistical analysis, we aim to demonstrate the significant implementation of these infrastructures in the study area and identify the causes of their abandonment, despite the continued increase in demand for water by all economic sectors, especially the agricultural, urban and tourism sectors. The results demonstrate the existence of five traditional runoff management infrastructures (cisterns, dams, runoff water channels, terracing and benching), and that the effects of global change have been decisive in their neglect, especially those related to climate change and land use modifications, in addition to increased demographic and socioeconomic pressure. Full article

Cultural tourism has emerged as a key factor in destination development, but moving from growth-oriented expansion to sustainability necessitates a better comprehension of the psychological processes influencing visitor involvement. Existing studies insufficiently integrate destination-level diversification with tourist psychological identity, particularly within emerging economies. Drawing on a diversified development framework, this study constructs a theoretical model linking economic, cultural, social, and environmental dimensions with tourist psychological identity and sustainable destination development. Questionnaire data from 300 respondents were analyzed using regression analysis to examine direct and indirect effects across influencing factors. Economic development (β = 0.45), government policy support (β = 0.23), and investment orientation (β = 0.32) significantly strengthen sustainable cultural tourism development. Cultural resources (β = 0.51), cultural exchange (β = 0.27), and creative industries (β = 0.18) also exhibit strong positive effects. Tourist psychological identity is shaped by personal economic status (β = 0.42), cultural experience (β = 0.33), and social recommendations (β = 0.35). Moreover, psychological identity exerts a substantial influence on sustainable development (β = 0.56), indicating a reinforcing mechanism between destination diversification and long-term sustainability. Findings demonstrate that diversified development pathways enhance both destination sustainability and tourists’ psychological attachment, offering actionable implications for destination marketing and management. This study contributes to shifting tourism development from a growth paradigm toward a sustainability paradigm, supporting SDGs 8, 11, and 12. Full article

The intangible accessibility of real estate markets via platforms like Airbnb profoundly influences the urban development industry, propelled by the dynamics of short- to medium-term rentals for tourists. The suggested study aims to examine the association between the prices of listed properties and the influence of proximity to tourist attractions on location-driven pricing. The city of Rome acts as a case study from which to derive pertinent conclusions and proof on the phenomena intended for exploration. The methodological approach relies on a comprehensive classification of locations recognized as tourist attractions, drawn from public resources, travel guides, search engines, and online trends. The identified attractionswere subsequently classified to analyze how spatial proximity influences price formation. Data on short-term rental listings were obtained from the Inside Airbnb platform. The results enable the characterization of Rome as a polycentric urban system, composed of multiple tourism hubs whose spatial interactions are closely associated with prevailing hotel pricing patterns. This study emphasizes the influence of tourist demand on land values, a phenomenon intricately connected to urban gentrification and the capitalization of the real estate market. These findings enhance comprehension of tourism’s impact on the geographical and economic structure of cities. Full article

Heritage tourism is increasingly positioned as a strategy for revitalising rural communities, particularly in areas where structural transformations have changed traditional ways of life. However, its outcomes reveal a paradox. The same processes that preserve cultural landscapes often commodify them, converting living traditions into marketable symbols. This paper investigates this heritage paradox through a complex study of Viscri, a UNESCO-listed village in Transylvania, Romania. Combining demographic and occupational data (2002–2022) with 51 questionnaires, 7 semi-structured interviews, field observations, and local records, the study examines how tourism-driven heritage valorisation reshapes socio-economic structures and identity narratives. The results show a profound restructuring of livelihoods, with a marked decline in subsistence agriculture and the emergence of micro-entrepreneurial activities related to accommodation, crafts, and gastronomy. These changes, while improving local incomes and infrastructures, have also increased external ownership and redefined authenticity as a performative resource negotiated among residents, entrepreneurs, and visitors. Local voices oscillate between pride and fatigue, between preservation and loss. By conceptualising the heritage paradox as a dynamic interplay between conservation and commodification, this study contributes to global debates on authenticity, sustainable rural transformation, and community resilience, offering an empirically grounded model of heritage tourism’s ambivalent consequences through an original analytical lens for post-socialist rural contexts. Full article

Background: The extraordinary disturbances faced by the hotel industry, ranging from worldwide health problems to political instability and climate change, have highlighted the insistent need for more resilient and agile supply chain (SC) systems. This study explored how artificial intelligence (AI) capabilities can generate competitive advantage (CA) through supply chain agility (SCA) and supply chain resilience (SCR) as mediators and competitive pressure (CP) as a moderator. Methods: Drawing on the resource-based view (RBV) framework, we suggested and empirically tested the study model. Using data collected from 432 hotel managers and analyzed using Partial Least Squares Structural Equation Modelling (SEM-PLS). Results: the results reveal that AI-driven SC can significantly strengthen SCA and SCR. Furthermore, SCA and SCR can act as powerful mediators, and CP can strengthen the tested relationships (the links from AI adoption and CA) as a moderator. Conclusions: The study made several theoretical and practical contributions by integrating AI capabilities into SCR and SCA frameworks in the hotel and tourism context, and by providing practical evidence for professionals aiming to leverage AI-driven SC tools to navigate uncertainty and create sustainable CA. Full article

Population ageing is one of the main demographic trends of modern Europe. It is a challenge for the whole economy, including the tourism industry. The specific needs of seniors, resulting from the processes of physiological ageing, require appropriate adaptation of tourism offers to their requirements. This is the only way to implement the principle of inclusivity that underpins sustainable tourism. This article discusses the results of research on the preferences and habits of older people with regard to tourist trips, taking into account psychological aspects. The research goal was to learn about seniors’ tourism activity and the factors hindering it, as well as to determine the relationship between tourism and seniors’ well-being. This article presents the results of the survey conducted in a sample of 209 seniors from the Polish city of Szczecin, with the use of Paper and Pen Personal Interview (PAPI) and Computer-Assisted Web Interviewing (CAWI) techniques. The results enabled the identification of the frequency and purposes of senior travel, as well as the factors and the extent to which participation in tourist trips was hindered. Furthermore, the study examined the impact of tourist trips on seniors’ well-being and overall mood. As a result of the conducted research, it was demonstrated that travelling constitutes a source of positive emotions for seniors. It was found that the tourism activity of this group declines with age, and the main factors limiting participation in tourism were poor health and insufficient financial resources. Among the primary barriers to travelling, respondents indicated long travel times and language obstacles. Overall, seniors exhibited an open attitude toward tourism, expressing a positive outlook on discovering new destinations and meeting new people. The adopted research framework assumes that psychological and organisational factors influence behavioural outcomes through mechanisms related to constraints and preferences. By incorporating organisational and psychological aspects, the obtained results contribute to filling the existing research gap. Such a broad research perspective, along with the conclusions drawn from the study, may also have practical implications. A senior-centric approach adopted by entities involved in developing tourism offers for seniors may contribute to reducing or even eliminating the barriers that members of this group currently face when participating in tourism activities. This entails both economic and social benefits and supports the implementation of the Sustainable Development Goals in the area of tourism. Full article

Linear cultural heritage is characterized by complex cross-regional and multi-level features, facing severe challenges of spatial resource fragmentation and an imbalance in cultural and tourism functions. However, existing research lacks quantitative analysis regarding the non-linear driving mechanisms of spatial distribution and the misalignment of culture–tourism coupling. In this study, we construct an integrated identification–explanation–coupling–governance (IECG) theoretical framework. Taking The Great Tea Road (Jinzhong Section) as a case study, our framework integrates the CCSPM, XGBoost-SHAP machine learning interpreter, and Geodetector to systematically quantify the spatial structure of heritage and the level of culture–tourism integration. The results indicate that, (1) in terms of spatial patterns, the study area exhibits an unbalanced agglomeration characteristic of “dual-primary and dual-secondary cores,” with high-density areas showing significant orientation along rivers and roads; (2) regarding driving mechanisms, the machine learning model reveals a significant “non-linear threshold effect,” with 83% of driving factors (e.g., elevation and distance to transportation) exhibiting non-linear fluctuations in their influence on heritage distribution; and, (3) in terms of culture–tourism coupling, the overall coupling coordination degree (CCD) is low (mean 0.38), indicating significant “resource–facility” spatial misalignment. The modern number of public cultural facilities (NCF) is identified as the primary obstacle restricting the transformation of high-grade heritage into tourism products. Based on these findings, we propose adaptive zoning governance strategies. This research not only theoretically clarifies the complexity of the social–ecological system of linear heritage but also provides a generalizable quantitative method for the digital protection and sustainable tourism planning of cross-regional cultural heritage. Full article