Search Results (425)

This study examines the determinants of environmentally responsible behavior among tourists in the heritage villages of Paveh County, Iran, through an integrated theoretical framework that synthesizes place-related psychological constructs with the Theory of Planned Behavior (TPB). Employing structural equation modeling on data collected from 443 tourists across three heritage villages (July–November 2024), the investigation tested comparative theoretical models with differing explanatory capacities. The baseline TPB model confirmed significant positive effects of environmental attitudes (β = 0.388), environmental norms (β = 0.398), and perceived behavioral control (β = 0.547) on behavioral intentions, which subsequently influenced environmental behavior (β = 0.561). The extended model incorporating place-related variables demonstrated enhanced explanatory power, with the R² values increasing from 48.2% to 52.7% for behavioral intentions and from 49.2% to 54.7% for actual behavior. Notably, place identity exhibited dual psychological functions: moderating the intention–behavior relationship (β = 0.155) and mediating between place attachment and environmental behavior (β = 0.163). These findings advance sustainable tourism theory by illuminating the complex pathways through which place-based psychological connections influence environmental behavior formation in heritage contexts, suggesting that more sophisticated theoretical frameworks are required for understanding and promoting sustainable practices in culturally significant destinations. Full article

The Santurbán paramo is a sensitive high-mountain ecosystem exposed to pressures from extractive and agricultural activities, as well as increasing tourism. In response, this study presents a context-aware recommendation system designed to support sustainable tourism through the integration of deep neural networks and ontology-based semantic modeling. The proposed system delivers personalized recommendations—such as activities, accommodations, and ecological routes—by processing user preferences, geolocation data, and contextual features, including cost and popularity. The architecture combines a trained TensorFlow Lite model with a domain ontology enriched with GeoSPARQL for geospatial reasoning. All inference operations are conducted locally on Android devices, supported by SQLite for offline data storage, which ensures functionality in connectivity-restricted environments and preserves user privacy. Additionally, the system employs geofencing to trigger real-time environmental notifications when users approach ecologically sensitive zones, promoting responsible behavior and biodiversity awareness. By incorporating structured semantic knowledge with adaptive machine learning, the system enables low-latency, personalized, and conservation-oriented recommendations. This approach contributes to the sustainable management of natural reserves by aligning individual tourism experiences with ecological protection objectives, particularly in remote areas like the Santurbán paramo. Full article

As sustainable cultural heritage tourism increasingly demonstrates its unique value and appeal, effectively stimulating tourists’ emotional experiences and value co-creation behaviors has become a focal issue. This study investigates how multiple tourist motivations (self-enhancement, escapism, and social interaction) shape value co-creation through emotional mediators—namely aesthetic, nostalgic, and flow experiences. Data were collected from 470 valid responses from visitors to the UNESCO-listed Suzhou Classical Gardens in China and analyzed using partial least squares structural equation modeling (PLS-SEM). The results show that these emotional experiences significantly drive value co-creation behavior: self-enhancement motivation enhances all three experiences, escapism mainly promotes nostalgic and flow experiences, and social interaction primarily affects aesthetic experience. These findings clarify the psychological mechanisms through which tourists’ motivations and emotional experiences influence value co-creation behavior in cultural heritage tourism. This research advances our understanding of the motivation–experience–behavior framework and emphasizes that enhancing emotional engagement is key to fostering sustainable cultural heritage tourism practices. The study provides practical implications for designing experiences and strategies that balance visitor satisfaction with the long-term vitality of cultural heritage sites and local communities, thereby contributing to broader sustainable development goals. Full article

Amid ongoing societal development, tourists’ travel behavior patterns have been undergoing substantial transformations, and understanding their evolution has emerged as a key area of scholarly interest. Taking Beijing as a case study, this research aims to uncover the spatiotemporal evolution patterns of tourist flows and their underlying driving mechanisms. Based on digital footprint relational data, a dual-perspective analytical framework—“tourist perception–tourist flow network”—is constructed. By integrating the center-of-gravity model, social network analysis, and regression models, the study systematically examines the dynamic spatial structure of tourist flows in Beijing from 2012 to 2024. The findings reveal that in the post-pandemic period, Beijing tourists place greater emphasis on the cultural connotation and experiential aspects of destinations. The gravitational center of tourist flows remains relatively stable, with core historical and cultural blocks retaining strong appeal, though a slight shift has occurred due to policy influences and emerging attractions. The evolution of the spatial network structure reveals that tourism flows have become more dispersed, while the influence of core scenic spots continues to intensify. Government policy orientation, tourism information retrieval, and the agglomeration of tourism resources significantly promote the structure of tourist flows, whereas the general level of tourism resources exerts no notable influence. These findings offer theoretical insights and practical guidance for the sustainable development and regional coordination of tourism in Beijing, and provide a valuable reference for the spatial restructuring of urban tourism in the post-COVID-19 era. Full article

Designing optimal heritage tourism routes in secondary cities involves complex trade-offs between cultural richness, travel time, carbon emissions, spatial coherence, and group satisfaction. This study addresses the Personalized Group Trip Design Problem (PGTDP) under real-world constraints by proposing DRL–IMVO–GAN—a hybrid multi-objective optimization framework that integrates Deep Reinforcement Learning (DRL) for policy-guided initialization, an Improved Multiverse Optimizer (IMVO) for global search, and a Generative Adversarial Network (GAN) for local refinement and solution diversity. The model operates within a digital twin of Warin Chamrap’s old town, leveraging 92 POIs, congestion heatmaps, and behaviorally clustered tourist profiles. The proposed method was benchmarked against seven state-of-the-art techniques, including PSO + DRL, Genetic Algorithm with Multi-Neighborhood Search (Genetic + MNS), Dual-ACO, ALNS-ASP, and others. Results demonstrate that DRL–IMVO–GAN consistently dominates across key metrics. Under equal-objective weighting, it attained the highest heritage score (74.2), shortest travel time (21.3 min), and top satisfaction score (17.5 out of 18), along with the highest hypervolume (0.85) and Pareto Coverage Ratio (0.95). Beyond performance, the framework exhibits strong generalization in zero- and few-shot scenarios, adapting to unseen POIs, modified constraints, and new user profiles without retraining. These findings underscore the method’s robustness, behavioral coherence, and interpretability—positioning it as a scalable, intelligent decision-support tool for sustainable and user-centered cultural tourism planning in secondary cities. Full article

Given that participating in or spectating sports events plays a vital role in enhancing individuals’ mental health, understanding the key factors that promote continued participation and attendance in sports events is of significant theoretical and practical importance within the context of sports tourism. From this perspective, the service quality of sports events and the image of the host destination have been identified as major determinants of sustained engagement among sports tourists. However, a review of the literature reveals that findings on the influence of sports event service quality and host destination image on the behavioral intentions of sports tourists have been inconsistent. Therefore, the purpose of this study is to employ a meta-analytic structural equation modeling (MASEM) approach to synthesize data from 39 independent studies comprising 16,335 participants, which were collected up to 30 September 2024, thereby providing generalizable conclusions. The results indicate that, first, host destination image is the most critical factor in enhancing visitor satisfaction. Additionally, the service quality of sports events significantly influences visitor satisfaction, which in turn impacts their future behavioral intentions. Second, tourist satisfaction fully mediates the relationship between event service quality and behavioral intentions, and it partially mediates the relationship between host destination image and behavioral intentions. Third, under the moderating effect of event scale (small scale vs. mega scale), host destination image and physical environment quality are more important in small-scale sports events than in mega-scale sports events. Furthermore, under the moderating effect of cultural context (Eastern vs. Western), service quality dimensions are more influential in Western cultural settings, whereas host destination image is more important in Eastern cultural settings. The significance of this study lies in its integration of previously disparate findings into a unified model, offering a more comprehensive understanding of the relationships among the variables. The results provide broad implications for future academic research and practical insights for sports tourism practitioners. Full article

As climate change intensified water scarcity in Southern Europe, tourism-dependent regions such as Portugal’s Algarve faced growing pressure to adapt their water management systems. This study investigated how hotel groups in the Algarve have adopted and communicated water reuse technologies—specifically desalination and greywater recycling—under environmental, institutional, and reputational constraints. A comparative qualitative case study was conducted involving three hotel groups—Vila Vita Parc, Pestana Group, and Vila Galé—selected through purposive sampling based on organizational capacity and technology adoption stage. The analysis was supported by a supplementary mini-case from Mallorca, Spain. Publicly accessible documents, including sustainability reports, media coverage, and policy frameworks, were thematically coded using organizational environmental behavior theory and the OECD Principles on Water Governance. The results demonstrated that (1) higher organizational capacity was associated with greater maturity in water reuse implementation; (2) communication transparency increased alongside technological advancement; and (3) early-stage adopters encountered stronger financial, regulatory, and operational barriers. These findings culminated in the development of the Maturity–Communication–Governance (MCG) Framework, which elucidates how internal resources, stakeholder signaling, and institutional alignment influence sustainable infrastructure uptake. This research offered policy recommendations to scale water reuse in tourism through financial incentives, regulatory simplification, and public–private partnerships. The study contributed to the literature on sustainable tourism and decentralized climate adaptation, aligning with UN Sustainable Development Goals 6.4, 12.6, and 13. Full article

Generation Z (Gen Z; born 1997–2012) is reshaping global tourism through digital fluency, ethical awareness, and a desire for authentic, sustainable travel experiences. This study surveys 413 Gen Z travelers across France, Portugal, Romania, and the USA to map their booking behaviors, information sources, transport modes, accommodations, dining practices, and leisure activities. The findings reveal a strong preference for independent online bookings and social-media-influenced destination choices (Instagram, TikTok), with air and car travel being used for long-distance journeys and walking/public transit being used for local journeys. Accommodation spans commercial hotels and private rentals, while informal, local dining and nature- or culture-centered leisure prevail. Chi-square tests were performed to identify differences between countries. To reveal distinct traveler segments and their country’s modulations towards sustainability, a hierarchical cluster analysis was performed. The results uncover four segments: “Tech-Active, Nature-Oriented Minimalists” (32.3% in France); “Moderate Digital Planners” (most frequent across all countries, particularly dominant among Romanian respondents); “Disengaged and Indecisive Travelers” (overrepresented in the USA); and “Culturally Inclined, Selective Sustainability Seekers” (>30% in France/Portugal). Although sustainability is widely valued, only some segments of the studied population consistently act on these values. The results suggest that engaging Gen Z requires targeted, value-driven digital strategies that align platform design with the cohort’s diverse sustainability commitments. Full article

As health and well-being become central concerns in the post-pandemic tourism landscape, health tourism is evolving to prioritize not only physical recovery but also psychological engagement and emotional value. This study explores how gamified design can enhance tourist participation and experience quality within health-related tourism contexts. By integrating theories from tourism psychology and game-based experience design, a structural equation model is proposed to examine the relationships among memorable tourism experiences, tourist motivation, game design elements, flow experience, and perceived value, and their joint influence on behavioral intention. Data collected from tourists who engaged in gamified experiences were analyzed using structural equation modeling (SEM) techniques. The results identify a dynamic “participation–immersion–value” mechanism, in which gameful design fosters flow and perceived value, thereby mediating gamification’s impact on behavioral intention. These findings offer valuable insights for health tourism developers and experience designers seeking to create emotionally engaging, motivating, and sustainable visitor experiences in the context of health and well-being. Full article

Urbanization drives spatial restructuring that transforms landscapes to prioritize human health. Grounded in therapeutic landscape theory and tourism involvement theory, this study employs PLS-SEM and CMV to examine how landscapes affect individual health amid urbanization. Key findings reveal the following: (1) A model of urbanization for tourists’ perceived health confirms urbanization enhances health perceptions via therapeutic landscapes. (2) Therapeutic landscape perceptions exert an indirect effect on health perception through the mediating variable of tourism involvement, where tourism psychological involvement demonstrates a complete mediating effect, while tourism behavioral involvement exhibits a partial mediating role. (3) High urbanization exerts a more pronounced positive influence on natural and social landscapes compared to symbolic landscapes. Notably, elevated urbanization levels significantly strengthen the positive association between natural/social landscapes and perceived health benefits. Under low urbanization, health perception does not demonstrate significant enhancement with elevated landscape perception. This study fills a critical research gap by quantitatively investigating, from a micro-scale perspective, how therapeutic landscapes enhance tourists’ health within urbanization contexts in Eastern settings. Furthermore, it extends the theoretical framework of tourism involvement in health tourism contexts, advances tourism and leisure research, and provides scientific support for sustainable tourism development and tourists’ well-being enhancement. Full article

This study investigates Generation Z’s perceptions and behaviors regarding sustainable practices in the hospitality sector, with a particular focus on the gap between intentions and actual behaviors. A significant attitude–behavior gap emerges: while the majority (69%) reports adopting sustainable practices in daily life, only 30% actively reduce air travel. Through exploratory analysis, this study contributes to the existing literature by examining sustainability perceptions as key drivers in hotel selection, offering both theoretical and practical implications for the tourism industry. The data were collected through questionnaires and processed using descriptive and inferential statistics, specifically hypothesis testing tools. The findings indicate that while Gen Z exhibits strong environmental consciousness, economic constraints remain a barrier to sustainable choices. This research suggests that tourism companies need to develop targeted strategies to make sustainable options more accessible, considering both environmental sensitivity and financial limitations of the younger generation. This work addresses a notable gap in the tourism literature regarding travelers’ perceptions of sustainable practices, particularly focusing on Generation Z as an emerging market segment. Full article

Although the rise of Virtual Reality (VR) technology has brought new opportunities to tourism experiences and marketing, limited research has explored how VR technology affects tourists’ pro-sustainable behaviors in heritage tourism research. To address this research gap, this study constructs a theoretical model by integrating the technology acceptance model (TAM) framework to explore the relationship among perceived ease of use (PEU), perceived usefulness (PUS), awe, attitude, and pro-sustainable behavior of tourists. Through the analysis of 304 valid questionnaires, this study found that in the heritage tourism experience presented by VR, PEU and PUS positively influence awe and attitude. Furthermore, awe positively affects attitude and pro-sustainable behaviors. However, PUS has no effect on tourists’ pro-sustainable behaviors. This study expands the theoretical framework of TAM and the related research on awe in heritage tourism presented by VR, providing valuable practical insights for heritage managers in the adoption of immersive technology. Full article

Tourism learning resources refer to tourism attractions that carry learning content or stimulate learning behaviors for tourists, thereby determining the quality and effectiveness of tourists’ learning experiences. Actively developing tourism learning resources and manifesting tourism learning functions serves as an innovative practical path for cultivating new quality productivity in tourism and bears the contemporary mission of constructing a national lifelong learning system in the context of Chinese-style modernization. However, at the present stage, Chinese tourists, tourism enterprises, and government functional departments still lack a clear and systematic understanding of the connotations and characteristics of tourism learning resources. This knowledge gap restricts the depth and breadth of resource development. To address the identified gaps, this study begins by exploring the relationship between tourism and learning. Through a systematic literature review, it aims to develop a conceptual framework for tourism learning resources to promote lifelong learning and support sustainable tourism development. Taking this framework as a tool, this paper first explains the connotation and characteristics of tourism learning resources; secondly, classifies them into knowledge popularization, natural observation, skill experience, inspirational development, and cultural recreation types; thirdly, identifies their functional manifestations as acquiring experience, knowledge, skills, and wisdom; and finally, proposes development strategies for tourism learning resources. The most critical strategies identified are (1) enhancing tourism learning literacy, (2) optimizing learning-oriented products, and (3) constructing regionally integrated learning destinations. Full article

Tainan’s Cigu, located on Taiwan’s southwestern coast, is a prominent aquaculture hub known for its extensive ponds, tidal flats, and lagoons. This study explored the novel integration of kayaking within aquavoltaic (APV) aquaculture ponds, creating a unique hybrid tourism landscape that merges industrial land use (aquaculture and energy production) with nature-based recreation. We investigated the relationships among facility maintenance and safety professionalism (FM), the perceived value of kayaking training (PV), and green energy and sustainable development recognition (GS) within these APV systems in Cigu, Taiwan. While integrating recreation with renewable energy and aquaculture is an emerging approach to multifunctional land use, the mechanisms influencing visitors’ sustainability perceptions remain underexplored. Using data from 613 kayaking participants and structural equation modeling, we tested a theoretical framework encompassing direct, mediated, and moderated relationships. Our findings reveal that FM significantly influences both PV (β = 0.68, p < 0.001) and GS (β = 0.29, p < 0.001). Furthermore, PV strongly affects GS (β = 0.56, p < 0.001). Importantly, PV partially mediates the relationship between FM and GS, with the indirect effect (0.38) accounting for 57% of the total effect. We also identified significant moderating effects of APV coverage, guide expertise, and operational visibility. Complementary observational data obtained with underwater cameras confirm that non-motorized kayaking causes minimal ecological disturbance to cultured species, exhibiting significantly lower behavioral impacts than motorized alternatives. These findings advance the theoretical understanding of experiential learning in novel technological landscapes and provide evidence-based guidelines for optimizing recreational integration within production environments. Full article

Groundwater plays an important role in areas facing water scarcity, which can cause many problems if poorly managed. In Northern Cyprus, in the Güzelyurt region, where agriculture is thriving, excessive and inappropriate groundwater use has caused a sharp decrease in water levels and electrical conductivity in many coastal areas. This study explores this problem using system dynamics tools designed to analyze feedback loops and causal links. The qualitative system dynamics approach is employed to investigate complex systems by focusing on structural and behavioral patterns through qualitative elements such as feedback loops, causal relationships, and system archetypes, rather than relying solely on numerical data. For this purpose, group model building is used, for which a basic model is built using library studies, and then the model is developed and improved through numerous interviews and meetings held with policymakers, farmers, soil and water managers, university professors, and representatives from the local community. The study examines water management practices, including transferring water from Turkey to Northern Cyprus and allocating a portion for agricultural use in Güzelyurt. It also explores agricultural strategies and the employment of advanced irrigation methods. In the tourism and urban consumption sectors, raising public awareness and educating citizens about water scarcity linked to climate change are highlighted as essential measures in promoting sustainable water usage. Full article