Search Results (2,686)

In the post-Olympic era, China’s ice and snow tourism is shifting toward an experience-oriented model. Taking the Chongli Ice and Snow Tourism Resort as a case study, this research applies a BERTopic-LLM framework, BERT-based sentiment analysis, and the IPA-Kano model to multi-platform user-generated content (UGC). We systematically examined tourists’ perceptual structures, spatial experiential differences, and nonlinear needs. The results indicate that while overall tourist sentiments are positive, substantial spatial and perceptual heterogeneity exists. Positive perceptions are primarily driven by high-quality core attractions (ski slopes and Olympic heritage), whereas negative perceptions stem from operational issues like peak-season congestion, inflated prices, and insufficient service. Based on these characteristics, the resort’s spatial units are categorized into resource-integrated, facility-oriented, and core-attraction mismatch areas. The findings demonstrate that tourist satisfaction is non-linearly conditioned by the quality of supporting infrastructure rather than just resource endowment. Accordingly, we propose three optimization strategies—strengthening service guarantees, enhancing experiential value, and promoting cultural transformation—to support the sustainable development of China’s ice and snow tourism destinations. Full article

Drought stress imposes oxidative damage on plants, yet the tissue-specific roles of salicylic acid (SA) in modulating phenolic metabolism remain poorly understood in woody species. Using Ilex rotunda seedlings, we investigated whether exogenous SA (100 µM) mitigates drought-induced oxidative damage and reshapes phenolic profiles in different tissues. Drought alone increased leaf total phenolics by 32% but depleted root phenolics by 29%, whereas combined drought + SA (DSA) treatment partially restored root phenolic levels, coinciding with elevated malondialdehyde (MDA) (2.2-fold in leaves, 2.6-fold in roots) and H₂O₂. Leaf antioxidant capacity increased under drought (DPPH by 73%, •OH by 33%), whereas root DPPH declined by 27% despite a 26% rise in •OH scavenging. SA alone induced mild oxidative responses and selectively upregulated caffeoylquinic and galloyl derivatives, notably 1-Caffeoylquinic acid (log₂FC = 6.38) in leaves. DSA treatment mitigated oxidative damage—reducing leaf MDA by 44% and root H₂O₂ by 38%. Metabolomics revealed tissue-specific reprogramming leaves accumulated dicaffeoylshikimic acid (log₂FC = 10.66) and trilobatin D (log₂FC = 11.18) under DSA, whereas roots showed contrasting patterns with up-accumulation of vanillate (log₂FC = 5.77) and suppression of 3,5-dicaffeoylquinic acid (log₂FC = −7.21) under drought, with stronger metabolic reprogramming in leaves than roots. Our findings indicate that SA-mediated drought tolerance is associated with tissue-specific phenolic reprogramming, identifying candidate indicators that advance the mechanistic understanding of woody plant resilience to drought. These results provide a framework for translating metabolomic signatures into practical strategies for stress mitigation in medicinal perennials facing climate change. Full article

In the context of urban regeneration and the redevelopment of existing urban land and built assets, industrial heritage has become a cross-sectoral policy issue involving heritage conservation, spatial reuse, land governance and public cultural uses. Existing studies have primarily examined individual adaptive reuse projects and spatial strategies, whereas the long-term evolution of policy texts has received less systematic attention. Taking Shanghai as a case study, this paper constructs a clause-level corpus of industrial heritage-related policies issued between 2006 and 2025. The corpus comprises 524 clauses extracted from 86 policy documents covering heritage conservation, historic building conservation, cultural and creative industries, land use, planning, urban renewal and industrial tourism. Overall and stage-based Latent Dirichlet Allocation (LDA) models are combined with cross-period topic alignment to identify the structure and evolution of policy themes. The results show that Shanghai’s industrial heritage policies have been shaped not only by heritage conservation concerns, but also by industrial land governance, the transformation of underused industrial land, the regeneration of existing industrial spaces (EIS), industrial culture, tourism and public service provision. Four stages are identified: initial exploration, regulatory consolidation, revitalisation and renewal, and integrated consolidation. Across these stages, four major evolutionary pathways can be observed: industrial land supply and governance, renewal of EIS and old industrial areas (OIA), industrial heritage conservation and value recognition and the expansion of industrial culture, tourism and public services. The paper provides clause-level evidence for understanding industrial heritage governance in China’s urban regeneration context and highlights the need for stronger coordination between heritage, land, planning, industry, culture and tourism policies. Full article

In the context of global rural sustainable development, tourist perceptions play a crucial role in rural tourism development. This study employs GIS, Geodetector, and LDA topic modeling approaches, taking key tourism villages in Beijing as the research object, to analyze the characteristics of tourist perceptions within the rural tourism resource supply system in the suburban areas of Beijing. The results indicate that, regarding homogeneous supply, tourists exhibit strong perceptions of the Great Wall Cultural Belt, elevation, distance to the city center, and intangible cultural heritage. These perceptions are influenced by visitor origins, coverage range, and the well-established experience model of “regional culture + landscape.” Concerning heterogeneous supply, tourists develop perceptions of landscape and geomorphology, historic sites and relics, pastoral landscapes and folk customs, outdoor recreation, leisure and consumption, and comprehensive categories, mainly shaped by the complementary cognition of rural authenticity and modernity. In terms of their relationship, homogeneous supply provides the foundational basis for the region, whereas heterogeneous supply contributes to the formation of distinctive village characteristics. Based on these findings, strategies are proposed to optimize rural tourism development in suburban Beijing, offering guidance for its sustainable development. Full article

The concept of dark tourism has obtained significant attention in recent years, and its appeal to younger generations is a topic of great interest. This study examines the behavioral intentions of Generation Z towards dark tourism in Albania, a country with a strong cultural and historical heritage. Using a quantitative research design, the study collected data from 312 respondents and analyzed them using exploratory factor analysis and multiple regression. The results found several key variables that influence the behavioral intentions of Generation Z towards dark tourism, including attitude, motivations, social media, and perceived psychological risk. Interestingly, the study found that attitude is the strongest predictor of behavioral intentions towards dark tourism. This suggests that if young people have a positive attitude towards dark tourism, they are more likely to visit dark tourism sites. On the other hand, the variable of perceived psychological risk was found to have a negative influence on the behavioral intentions of Generation Z to visit dark tourism sites. This implies that if young people perceive dark tourism as risky or threatening, they are less likely to participate in it. The study contributes to dark tourism research by offering empirical evidence from Albania and by highlighting the importance of educational, reflective and ethically sensitive interpretation for Generation Z visitors. The findings of the study reveal the importance of developing tourism experiences that are not only educational and emotionally engaging, but also ethically based. This is particularly relevant for emerging destinations like Albania, where dark tourism remains underdeveloped despite its significant cultural and historical potential. By shaping tourism experiences for younger audiences, destinations like Albania can tap into the potential of dark tourism and offer unique, meaningful experiences for visitors. Full article

With the development of ecotourism, national park recreation research has evolved from a marginal branch of tourism studies into a vibrant interdisciplinary field. Although scholarly attention has grown, a systematic, holistic overview of its global development trajectory and knowledge structure remains lacking. To address this gap, this study presents a bibliometric analysis of national park recreation research published from 1994 to 2024, based on the Web of Science Core Collection. Using CiteSpace for scientometric visualization, we examine the field’s evolutionary phases, collaboration networks, thematic distributions, and emerging trends. Our results show that national park recreation research has progressed through three distinct stages: initial emergence, steady development, and rapid growth. Collaboration among individual researchers and institutions remains generally limited. Dominant research themes include spatial planning and zoning, ecological conservation, stakeholder engagement, cultural ecosystem services, and tourists’ pro-environmental behaviors. Building on these findings, we synthesize a comprehensive knowledge structure of this field and outline key future research priorities. This overview enables researchers to quickly grasp the field’s global research panorama and identify targeted thematic directions. We call for greater attention to understudied areas, including visitor social psychology, community participation, digital technology applications, and adaptive management in future studies. Full article

Social media platforms and user-generated content (UGC) have become central to how travelers discover and evaluate cultural destinations, yet lesser-known second-tier heritage sites remain substantially underrepresented in digital tourism research. This study investigates how Chinese tourists perceive and engage with the intangible cultural heritage (ICH) of Lamphun, Thailand, through UGC collected from three major Chinese social media platforms (WeChat, Douyin, and Rednote) spanning the period from 2019 to 2023. A total of 642 relevant posts were analyzed using a mixed-methods analytical framework comprising SnowNLP-based Chinese-language sentiment analysis, rule-based tourism intention classification, and TF-IDF-driven K-means thematic clustering. Results indicate an overall predominance of positive sentiment, with sentiment score emerging as the strongest predictor of tourism intention. Thematic clustering revealed three distinct experiential dimensions, with culinary heritage and contemporary local lifestyle and cafe exploration generating the highest sentiment distribution and within-cluster tourism intention rate. These findings demonstrate the analytical value of integrated UGC data mining for underrepresented ICH destinations and offer empirical insights to support data-driven destination marketing strategies and destination management organization (DMO) decision-making for the promotion of secondary cultural heritage destinations. Full article

Taking 563 national key rural tourism villages across 12 provinces, autonomous regions, and municipalities in western China as the research object, this study integrates multi-source data on physical geography, transportation location, socioeconomic conditions, and historical culture based on the ArcGIS platform. It comprehensively applies kernel density analysis, spatial autocorrelation analysis, buffer analysis, Spearman correlation analysis, Geodetector, and the relative enrichment index to examine the spatial distribution characteristics of these villages and their associated spatial factors. The results show that key rural tourism villages in western China exhibit an overall clustered and uneven distribution, forming a spatial pattern characterized by “high concentration in core areas, extension along secondary corridors, and sparse distribution across vast hinterlands.” The core agglomeration areas are mainly located in the Sichuan Basin, the Chongqing metropolitan area, and the Guanzhong Plain. In terms of physical geography, the distribution of key villages shows certain spatial associations with major river basins, low-slope areas, and low-relief terrain. In terms of human factors, population density and road network density are important associated factors, and the combined population–transportation conditions have strong explanatory power for the spatial differentiation of key village density. With regard to historical culture, folk-custom inheritance villages and red-culture heritage villages account for relatively high proportions, while different cultural types show certain regional agglomeration or corridor-like distribution characteristics. The findings can provide references for zoned optimization, transportation connectivity, cultural resource integration, and coordinated regional development of key rural tourism villages in western China. Full article

Traditional Chinese villages are important carriers of rural heritage, collective memory, vernacular landscapes, and living cultural traditions. However, rapid urbanization, agricultural modernization, climate change, and tourism development have increasingly threatened their spatial integrity and cultural continuity, highlighting the need for evidence-based conservation and adaptive management. This study examines the spatial distribution patterns and associated factors of 8155 national-level traditional villages in China. An integrated spatial analytical framework was developed by combining kernel density estimation, spatial autocorrelation analysis, Geodetector, and multiscale geographically weighted regression (MGWR). The results show that: (1) traditional villages are unevenly distributed across China and form a distinct “three-core and multi-node” spatial pattern, with major high-density clusters concentrated in several cross-provincial regions and secondary clusters distributed in other heritage-rich areas; (2) the spatial differentiation of traditional village density is statistically associated with natural, cultural, and socioeconomic factors, among which temperature and precipitation show the strongest explanatory power, while cultural endowment, ecological quality, and socioeconomic variables show more context-dependent associations; and (3) compared with OLS and conventional GWR, MGWR improves model performance by capturing spatially heterogeneous and scale-dependent relationships through variable-specific bandwidths. These findings provide national-scale empirical evidence for differentiated conservation planning and support the integration of traditional village protection with rural revitalization, cultural heritage conservation, and sustainable regional development. Full article

Cape Coast is a prominent tourism destination in Ghana, distinguished by its historical landmarks, coastal ecosystems, and cultural heritage. Yet the city faces mounting threats from environmental hazards such as coastal erosion, flooding, extreme heat, and lagoon degradation, which directly compromise the sustainability of its tourism sector. Guided by the Sustainable Tourism Development Theory (STDT) and the Tourism Resilience and Adaptation Theory (TRAT), this study investigates the impacts of these hazards on tourism development, the effectiveness of current disaster risk reduction (DRR) strategies, and the roles of key stakeholders in building sectoral resilience. Using a qualitative research design, data were collected through in-depth interviews with eighteen stakeholders comprising four policymakers, six community leaders, five tourism business operators, and three representatives from non-governmental organisations, alongside documentary analysis of four institutional reports. The study contributes to the literature by demonstrating that fragmented, reactive DRR strategies and weak stakeholder coordination undermine Cape Coast’s tourism resilience, and by showing how urban natural assets, a dimension largely neglected in existing tourism–DRR scholarship, are central to both hazard exposure and adaptive capacity. The findings call for integrated, ecosystem-based DRR frameworks that align governance mechanisms with sustainable tourism imperatives. Full article

Currently, East Asia, especially South Korea, is facing social problems such as population decline and regional inequality. To address these challenges, tourism has been leveraged as a means of economic revitalization, especially in fishing villages that are economically disadvantaged. This study examined the authentic food experiences of tourists who visited fishing villages. Tourists’ food experiences, dimensions of destination food image, and destination loyalty were assessed. In September 2024, 448 responses from Korean tourists were collected and analyzed using confirmatory factor analysis and structural equation modeling to test 15 hypotheses. Local food authenticity showed a significant effect on all dimensions of destination food image. Of the five dimensions of destination food image in this study, food taste, health and hygiene, and unique cultural experiences significantly influenced destination loyalty. In addition, geographic differences moderated the relationship between local marine food authenticity and the perceived food image of the destination. Tourists in the southern coastal regions reported the highest destination food image ratings, driven by authentic local cuisine, while those in the western regions reported the lowest. This study offers both practical and theoretical implications related to sustainable coastal tourism. Full article

Large-scale location-based virtual reality (LBE VR) has become an important form of immersive cultural tourism, but its role in supporting sustained value transformation remains insufficiently understood. In this study, “sustained value transformation” refers to the extension, reinterpretation, and circulation of cultural, educational, social, and engagement-related value across physical venues, embodied virtual narratives, and digital platforms. Rather than assessing economic performance, environmental impact, or long-term operational viability, this study focuses on the cultural and social circulation of experiential value. It examines how physical venues, embodied virtual narratives, and digital platforms jointly mediate visitor experience in LBE VR-based cultural tourism. It compares representative LBE VR projects in museums and heritage institutions, emerging public cultural spaces, and commercial venues in China. A total of 10,862 project-related textual items and 464 visual samples were collected from Xiaohongshu and Douyin and analyzed through comparative content and visual analyses. The findings show that visitor choices are shaped by both the spirit of place in physical venues and platform-visible experience labels. In museums and heritage institutions, institutional knowledge authority and embodied narrative depth help visitors recognize interactive educational value. In emerging public cultural spaces, the intertwining of historical narratives and commercial operations produces more ambiguous experience labels. In commercial venues, platform discussions focus more strongly on value-for-money judgment, sensory stimulation, product quality, and service experience. The study argues that sustained value transformation in LBE VR-based cultural tourism cannot rely solely on platform traffic. Instead, it depends on collaboration among cultural institutions, tourism enterprises, platform content creators, educational actors, and community stakeholders to preserve cultural distinctiveness, improve experience quality, and extend cultural and social value beyond the immediate on-site experience. Full article

Against the backdrop of the deep advancement of the carbon peak and carbon neutrality goals and the superposition of the transportation power strategy, leveraging the spatial restructuring of highway networks to optimize the low-carbon layout of county-level industries has become a crucial lever for balancing economic quality improvement with carbon intensity control. This study selects panel data from 129 counties in Yunnan Province spanning 2015–2024, constructing a comprehensive highway network development index from four dimensions: highway density, road network connectivity, weighted hierarchical structure, and county accessibility. Using a two-way fixed effects benchmark model, a stepwise mediation effect testing framework, and a regional heterogeneity identification strategy, the paper systematically examines the marginal effects, transmission pathways, and spatially differentiated characteristics of highway network development on county-level industrial carbon emission intensity. Key findings are as follows: Enhanced highway network development significantly suppresses the increase in county-level industrial carbon emission intensity, and a well-developed road network can provide long-term empowerment for the low-carbon transformation of county-level industries. Mechanism analysis confirms that highway network development reduces emissions through two core pathways: first, a direct emission reduction effect achieved by optimizing the county-wide freight organization system, reducing inefficient transport energy consumption, and improving overall transport efficiency; second, an indirect low-carbon enabling effect realized by breaking down administrative barriers in county markets, lowering cross-regional business transaction costs, deepening industrial division of labor and collaboration, and forcing resource allocation improvements. Heterogeneity analysis reveals that the low-carbon dividends of highway network development exhibit significant gradient differentiation: the emission reduction enabling effect is strongest in counties within the Central Yunnan urban agglomeration, followed by cultural tourism counties in western Yunnan and border counties in southern Yunnan, with the weakest marginal enabling effect observed in traditional agricultural counties in northeastern Yunnan. Full article

Wikidata provides extensive coverage of tourism-related Points of Interest (POIs), yet its heterogeneous type system and uneven metadata limit its direct use in smart tourism applications. This paper presents an end-to-end pipeline that transforms Wikidata POIs into a compact and interpretable tourism-oriented representation supporting multi-category assignments. We collect POIs from six countries—Greece, Italy, Spain, Norway, Sweden, and Denmark—and construct a dataset that integrates core identifiers with textual descriptions, type information, heritage indicators, geographic coordinates, and Wikipedia sitelinks. We introduce an eight-category tourism taxonomy capturing key themes, including cultural venues, archaeological and historic sites, monuments, fortifications, religious sites, protected areas, natural features, and coastal or water locations. As a reproducible baseline, category likelihoods are estimated using sentence embeddings and similarity to category anchor descriptions, producing a probability vector for each POI. Building on this baseline, we propose a fuzzy inference layer that integrates embedding-based probabilities with structured Wikidata signals to generate interpretable membership degrees across categories and enable principled multi-category classification. This fusion is particularly valuable for smart tourism applications, as it supports robust faceted exploration and personalized recommendations (e.g., “historic + coastal”), while providing evidence-based explanations that enhance user trust and facilitate curator oversight when POI metadata is sparse or ambiguous. The resulting pipeline produces ranked POI catalogs by country and category, country-level tourism profiles, and diagnostic views for examining uncertain cases. The approach is fully reproducible and readily adaptable to other geographic regions or domain taxonomies. Full article

Urban tourism communities activate local resources through spaces shared by residents and tourists, yet the inherent spatial overlap and functional complexity of these areas often generate conflicts. Existing research has predominantly focused on traditional scenic areas, heritage sites, or cities affected by overtourism, with comparatively little attention to urban tourism communities. This study draws on three tourism communities in Chongqing, China, employing street-intercept interviews and spatial analysis to investigate the forms and spatial characteristics of resident–tourist conflict. The findings indicate that such conflicts manifest across four dimensions: management conflict, economic conflict, resource and environmental conflict, and socio-cultural conflict. Conflicts are more likely to occur in areas where tourist activities intersect with residents’ daily routines, and different conflict types exhibit distinct spatial patterns. Furthermore, residents are more sensitive to these conflicts than tourists. By adopting a dual resident–tourist perspective, this study advances understanding of the tensions in high-density, high-mobility urban tourism communities and provides empirical insights to inform their sustainable development. Full article