Search Results (86)

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

Landscape narrative theory, which focuses on the interaction between space, culture, and human experience, provides a practical and interdisciplinary framework for guiding the integration of culture and tourism. By incorporating storytelling elements into tourism planning, it helps transform static cultural assets into engaging visitor experiences. This approach is particularly relevant in provincial contexts where cultural resources are unevenly distributed. Taking Anhui Province, China, as a case study, this research builds a five-dimensional evaluation system covering culture–tourism economy, cultural resources, tourism resources, transportation accessibility, and policy support. Using spatial analytical methods such as Moran’s I and the Spatial Autoregressive (SAR) model, the study identifies clear spatial clustering patterns and influential factors. The SAR model results show that transportation accessibility (coefficient = 0.685, p < 0.01) and policy support (coefficient = 0.736, p < 0.01) significantly promote integration. In contrast, cultural resources (coefficient = −0.352, p < 0.01) and tourism resources (p ≈ 0.11) have limited or no significant direct economic impact. Based on these findings, this paper proposes targeted strategies such as building regional narrative networks, enhancing infrastructure and policy coordination, and fostering collaborative development. The key contribution of this study lies in applying landscape narrative theory at the provincial level to construct a “Theory–Indicators–Method–Strategy” framework, offering new perspectives for promoting high-quality regional culture–tourism integration. Full article

This paper develops and presents a system for museums to evaluate behavioural and experiential gains of older adult visitors when engaging with digital interpretation exhibits. The evaluation system is based on the Analytic Hierarchy Process (AHP), utilising existing evaluation methods for museum visitors and refining them into an approach suitable for investigating older visitors. Innovatively, it incorporates the universal design (UD) in museum digital exhibits, injecting strong momentum into creating inclusive museums. An in-depth evaluation was conducted on seven exhibitions across three newly constructed Chinese cultural tourism museums with different digital characteristics, presenting the results and findings through eighty-eight digital interpretation exhibits. Qualitative and quantitative data provide a nuanced picture of digital interpretation and interaction from the perspective of older visitors. The results demonstrate the factors influencing older adults’ engagement with digital interpretation exhibits in museums and how digital interpretation items attract or deter older visitors’ engagement in complex exhibition environments. This study utilised universal design principles to identify the limitations and barriers in digital interpretation for older visitors, analysed the correlation between UD and digital attraction power, explored the reasons behind these outcomes, and identified design recommendations for inclusive museum digital interpretation. Full article

Urban parks are essential public resources that contribute significantly to residents’ well-being. However, disparities in the spatial distribution and social benefits of urban parks remain a pressing issue. This study focuses on the central urban area of Shanghai, a representative high-density megacity, and its findings hold significant reference value for similar cities, systematically evaluating urban park services from the perspectives of accessibility, spatial equity, and social equity. Leveraging multi-source big data and enhanced analytical methods, this study examines disparities and spatial mismatches in park services. By incorporating dynamic data, such as actual visitor attendance and residents’ travel preferences, and improving analytical models, such as an enhanced Gaussian two-step floating catchment area method and spatial lag regression models, this research significantly improves the accuracy and reliability of its findings. Key findings include (1) significant variations in accessibility exist across different types of parks, with regional and city parks offering better accessibility compared to pocket parks and community parks. (2) Park resources are unevenly distributed, with neighborhoods within the inner ring exhibiting relatively low overall accessibility. (3) A spatial mismatch is observed between park accessibility and housing prices, highlighting equity concerns. The dual spatial-social imbalance phenomenon reveals the prevalent contradiction in rapidly urbanizing areas where public service provision lags behind land development. Based on these results, this study proposes targeted recommendations for optimizing urban park layouts, including increasing the supply of small parks in inner-ring areas, enhancing the multifunctionality of parks, and strengthening policy support for disadvantaged communities. These findings contribute new theoretical insights into urban park equity and fine-grained governance while offering valuable references for urban planning and policymaking. Full article

Background: Dementia is a syndrome with a high global prevalence that includes a number of progressive diseases of the brain affecting various cognitive domains such as memory and thinking and the performance of daily activities. It manifests as symptoms which often include significant mood and behaviour changes that are highly varied. Changed moods and behaviours due to dementia may reflect distress and may be stressful for both the person living with dementia and their informal and formal carers. To provide dementia care support specific to mood and behaviour changes, the Behaviours in Dementia Toolkit website (BiDT) was developed using human-centred design principles. The BiDT houses a user-friendly, digital library of over 300 free, practical, and evidence-informed resources to help all care partners better understand and compassionately respond to behaviours in dementia so they can support people with dementia to live well. Objective: (1) To characterize the users that visited the BiDT; and (2) to understand the platform’s early impact on these users. Methods: A multi-method, descriptive study was conducted in the early post-website launch period. Outcomes and measures examined included the following: (1) reach: unique visitors, region, unique visits, return visits, bounce rate; (2) engagement: engaged users, engaged sessions, session duration, pages viewed, engagement rate per webpage, search terms, resources accessed; (3) knowledge change; (4) behaviour change; and (5) website impact: relevance, feasibility, intention to use, improving access and use of dementia guidance, recommend to others. Data was collected using Google Analytics and an electronic survey of website users. Results: From 4 February to 31 March 2024, there were 76,890 unique visitors to the BiDT from 109 countries. Of 76,890 unique visitors to the BiDT during this period, 16,626 were engaged users as defined by Google Analytics (22%) from 80 countries. The highest number of unique engaged users were from Canada (n = 8124) with an engagement rate of 38%. From 5 March 2024 to 31 March 2024, 100 electronic surveys were completed by website users and included in the analysis. Website users indicated that the BiDT validated or increased their dementia care knowledge, beliefs, and activities (82%) and they reported that the website validated their current care approaches or increased their ability to provide care (78%). Further, 77% of respondents indicated that they intend to continue using the BiDT and 81.6% said that they would recommend it to others to review and adopt. Conclusions: The BiDT is a promising tool for sharing practical and evidence-informed information resources to support people experiencing dementia-related mood and behaviour changes. Early evaluation of the website has demonstrated significant reach and engagement with users in Canada and internationally. Survey data also demonstrated high ratings of website relevance, feasibility, intention to use, knowledge change, practice support, and its contribution to dementia guidance. Full article

This study proposes a dual-level analytical approach to observing human–robot interactions in a real-world public setting, specifically a science museum. Observation plays a crucial role in human–robot interaction research by enabling the capture of nuanced and context-sensitive behaviors that are often missed by post-interaction surveys or controlled laboratory experiments. Public environments such as museums pose particular challenges due to their dynamic and open-ended nature, requiring methodological approaches that balance ecological validity with analytical rigor. To address these challenges, we introduce a dual-level approach for behavioral observation, integrating statistical analysis across demographic groups with time-series modeling of individual engagement dynamics. At the group level, we analyzed engagement patterns based on age and gender, revealing significantly higher interaction levels among children and adolescents compared to adults. At the individual level, we employed temporal behavioral analysis using a Hidden Markov Model to identify sequential engagement states—low, moderate, and high—derived from time-series behavioral patterns. This approach offers both broad and detailed insights into visitor engagement, providing actionable implications for designing adaptive and socially engaging robot behaviors in complex public environments. Furthermore, it can facilitate the analysis of social robot interactions in everyday contexts and contribute to building a practical foundation for their implementation in real-world settings. Full article

Extended-reality (XR) tools are increasingly used to revitalise museum experiences, but typical head-mounted or smartphone solutions tend to fragment audiences and suppress the social dialogue that makes cultural heritage memorable. This article addresses that gap on two fronts. First, it proposes a four-phase design methodology—spanning artifact selection, narrative framing, tangible-interface fabrication, spatial installation, software integration, validation, and deployment—that helps curators, designers, and technologists to co-create XR exhibitions in which co-presence, embodied action, and multisensory cues are treated as primary design goals rather than afterthoughts. Second, the paper reports LanternXR, a proof-of-concept built with the methodology: visitors share a 3D-printed replica of the fourteenth-century Virgin of Boixadors while wielding a tracked “camera” and a candle-like lantern that lets them illuminate, photograph, and annotate the sculpture inside a life-sized Gothic nave rendered on large 4K displays with spatial audio and responsive lighting. To validate the approach, the article presents an analytical synthesis of feedback from curators, museologists, and XR technologists, underscoring the system’s capacity to foster collaboration, deepen engagement, and broaden accessibility. The findings show how XR can move museum audiences from isolated immersion to collective, multisensory exploration. Full article

This systematic review provides an analysis of information gathered from 33 chosen publications during the past decade. The analysis reveals the primary methodologies applied and identifies the visitor behaviors that enable personalized content delivery. Statistical and Data Analysis is the predominant methodology in the reviewed publications. The methodology is present in 97% of the publications. AI and Machine Learning (63.6%) and Mobile/Interactive Technologies (60.6%) are most frequently paired with this methodology. Behavioral Analytics Platforms and Mobile/Wearable Devices are the most used technologies (42.4%) for delivering personalized content. A total of 39.4% of publications utilize Location Tracking Systems. The most frequent visitor behavior analysis focuses on Interactive Engagement and Movement Patterns, which occur 72.7% of the time, before Learning Patterns and Physical Positioning, which occur 63.6% of the time. The behavioral analysis of Group Dynamics (27.3%) and Emotional Response (18.2%) represents the least common practice when museums personalize their content despite the significance of social interaction analysis among visitors. The leading content personalization methods currently include real-time personalization systems combined with AI-driven systems and location-based technologies. Personalized content delivery systems face challenges including privacy protection and scalability issues paired with expensive implementation costs, which especially affect smaller museums. Researchers should explore how new technologies, such as virtual reality, augmented reality, and advanced biometric systems, can be integrated into future developments. Full article

Amid the global urbanization process, addressing the spatial carrying capacity constraints of historic urban districts and enhancing sustainable tourism vitality has become a critical issue in urban renewal research. This study takes Suzhou Old City as a case study and innovatively constructs a dynamic spatiotemporal analytical framework to examine the relationship between tourism facility attractiveness and tourism vitality in historic districts. This study integrates multi-source spatiotemporal data and applies factor analysis, weighted kernel density estimation (KDE), spatial autocorrelation analysis, and multiscale geographically weighted regression (MGWR) to systematically investigate the spatial distribution patterns of tourism facilities and elucidate their multidimensional driving mechanisms on tourism vitality. The findings reveal a generally positive correlation between tourism attractiveness and tourism vitality. However, significant temporal and spatial variations exist, with different types of tourism facilities demonstrating distinct attractiveness patterns at different times of the day. These variations underscore the intrinsic link between visitor behavior and regional functionality as well as the structural contradictions within historic districts. This study not only advances theoretical insights into the spatial optimization of tourism facilities and tourism vitality enhancement but also provides scientific evidence and policy recommendations for improving facility distribution, revitalizing historic districts, and promoting sustainable urban development. Full article

The coastal zone consists of diverse littoral habitats, which we categorize into two primary types: linear and areal. Investigating linear littoral habitats is crucial for resolving the ‘coastal squeeze’ phenomenon in coastal and marine protected areas and in seaside resorts. Our research aims to identify the critical conditions for the conversion of defunct seaside military training areas as brownfields into coastal protected areas and small-scale seaside resorts and their sustainable planning and management. The development of seaside tourism facilities is taking place both on the coast and in the hinterland, but the coast is used for tourism much more intensively than the hinterland. It is challenging to ‘pull’ tourists away from the linear beach to the areal hinterland. We argue that the distinctiveness of the resource use conflicts in coastal and hinterland tourism lies in an essential difference between the system’s linear and areal littoral habitats, as 78% of summer visitors in Pajūris Regional Park in Lithuania come for active leisure in nature. The results of our study show that combining the GIS interpretation algorithms, supported by the innovative conjoining of DPSIR and Delphi analytical tools, ensures site-tailored integrated management of the linear waterfront and the areal hinterland. Full article

The global expansion of the tourism industry has intensified competition between destinations, necessitating a deeper understanding of their competitive positioning. The aim of this study is to develop a research model that analyzes the competitive environment of a specific tourism destination and its relative position within the market, using Georgia as a case study. The competitive environment is analyzed based on the preferred travel destinations of the leading tourism-generating countries (or segments) of the destination under study. This approach is grounded in the expectation that a destination’s competitiveness in the global tourism market may differ from its position within a market composed of destinations favored by its primary visitor segments. To achieve this, the study applies the segment-centric geo-competitive environment of a tourism destination (SGE-TD) framework, which consists of three sequential analytical steps: (1) identifying competing destinations that define the study destination’s competitive environment, (2) outlining the key characteristics of this environment, and (3) identifying leading destinations and close competitors. This research has both methodological and practical implications. Methodologically, the paper introduces a structured and target-oriented framework incorporating an innovative SGE-TD approach, which defines a competitive environment based on top popular travel destinations among the top tourism generators of the study destination, along with corresponding analytical tools, which can be applied to similar studies. Full article

The competitiveness of tourism destinations is a multidimensional concept encompassing natural and cultural resources, infrastructure, accessibility, and services that cater to an increasingly discerning tourism market. Business ecosystems enhance these competitive conditions by adapting to consumers seeking high-value, differentiated experiences. This study examined the relationship between accommodation supply and tourist expenditure in the Canary Islands based on a sample of 38,071 visitors from the 2024 Tourist Expenditure Survey (EGT) of the Canary Islands Statistics Institute. Using Python and R for statistical processing, the findings revealed distinct spending patterns across accommodation types, from five-star hotels to peer-to-peer rentals, demonstrating how supply diversification influences competitiveness. The results reinforce prior research on the significance of investing in infrastructure, technology, and human capital to optimise the tourist experience. Tourist expenditure serves as an indicator of competitiveness, reflecting visitor preferences and the destination’s capacity to meet them. Accommodation choice is identified as a key determinant of spending patterns and their distribution within the local economy. This study provides an analytical basis for evaluating tourism strategies, emphasising the strategic importance of accommodation heterogeneity. It advances methodological understanding of tourist spending behaviour, offering a practical framework for destination development and strategic planning. Full article

Multimodal interaction technology has become a key aspect of remote education by enriching student engagement and learning results as it utilizes the speech, gesture, and visual feedback as various sensory channels. This publication reflects on the latest breakthroughs in multimodal interaction and its usage in remote learning environments, including a multi-layered discussion that addresses various levels of learning and understanding. It showcases the main technologies, such as speech recognition, computer vision, and haptic feedback, that enable the visitors and learning portals to exchange data fluidly. In addition, we investigate the function of multimodal learning analytics in order to measure the cognitive and emotional states of students, targeting personalized feedback and refining instructional strategies. Though multimodal communication may bring a historical improvement to the mode of online education, the platform still faces many issues, such as media synchronization, higher computational demand, physical adaptability, and privacy concerns. These problems demand further research in the fields of algorithm optimization, access to technology guidance, and the ethical use of big data. This paper presents a systematic review of the application of multimodal interaction in remote education. Through the analysis of 25 selected research papers, this review explores key technologies, applications, and challenges in the field. By synthesizing existing findings, this study highlights the role of multimodal learning analytics, speech recognition, gesture-based interaction, and haptic feedback in enhancing remote learning. Full article

Traditional villages, as repositories of cultural heritage and natural landscapes, have gained increasing prominence in the tourism industry. However, balancing authenticity preservation with visitor satisfaction remains a critical challenge. This study employs a combined Analytic Hierarchy Process (AHP)–Scenic Beauty Estimation (SBE) approach under the theoretical framework of 4E theory (Entertainment, Education, Aesthetics, and Escapism) to comprehensively evaluate visitor satisfaction in traditional village tourism landscapes. Eight nationally designated tourism-oriented traditional villages in Anhua County, China were selected as case studies. Findings from the AHP analysis reveal that aesthetic and escapism experiences are the most influential dimensions in shaping visitor satisfaction, while entertainment and educational experiences, though secondary, remain integral to a well-rounded tourism framework. The SBE evaluation corroborates these results, highlighting that seasonal characteristics, stress relief, and cultural landscape diversity significantly enhance visitor experiences. Conversely, deficiencies were observed in social interactivity, satisfaction with educational experiences, and fulfillment of aesthetic needs, indicating areas for improvement. A strong positive correlation between AHP and SBE scores (Pearson correlation coefficient = 0.867, p < 0.01) underscores the alignment between expert-driven evaluations and visitor perceptions. These insights suggest that integrating expert-based hierarchical analysis with empirical visitor assessments provides a more robust and multidimensional framework for sustainable tourism management. Recommendations include enhancing social interactivity, optimizing educational components, enriching aesthetic experiences, and ensuring the preservation of vernacular landscapes to foster sustainable, experience-driven rural tourism development. Full article

As museums serve as major tourist destinations, ensuring the sustainable presentation of exhibits addressing social justice issues, such as colonial legacies, is increasingly critical. This study examines how one destination museum engaged with its colonial past through a temporary exhibit designed to challenge traditional narratives and amplify marginalized perspectives. The primary objective is to assess whether such temporary interventions foster lasting engagement with colonial histories or risk becoming fleeting gestures that ultimately reinforce hegemonic narratives. Using Gramsci’s theory of hegemony and the concept of moral licensing as analytical frameworks, this research systematically analyzes the content of both original and supplementary exhibit labels to evaluate their impact on visitor engagement with colonial histories. Specifically, this study addresses two key research questions: (RQ1) What new historical narratives and perspectives on colonialism did visitors encounter through the inclusion of supplementary museum labels addressing colonial legacies? (RQ2) What insights can be drawn from the addition and subsequent removal of these labels to inform future strategies for fostering sustained critical engagement with social justice issues, particularly colonial histories, in museum settings? Findings indicate that the addition of supplementary labels provided tourists with a deeper, more critical understanding of the museum’s colonial history and helped disrupt hegemonic narratives. However, as the exhibit was temporary, the removal of these labels revealed the risks of moral licensing, where short-term efforts may justify a return to dominant perspectives. This research contributes to the literature by demonstrating that to effectively and sustainably engage visitors with social justice issues, destination museums must integrate marginalized narratives into permanent or recurring exhibits. While even modest interventions, such as additional museum labels, can challenge established narratives, sustained efforts are essential to ensure that tourists continue engaging with critical social justice issues. Full article