Search Results (113)

Urban pedestrianization has become a widely adopted strategy to promote sustainable mobility, improve urban livability, and enhance the quality of public space. Despite its potential benefits, pedestrianization interventions often generate heterogeneous perceptions among different user groups, which may influence their long-term acceptance. This study analyzes citizen perceptions of an urban pedestrianization intervention implemented in the city of Loja, Ecuador, considering residents, business owners or employees, and pedestrians or visitors. A structured survey was conducted, and the collected data were analyzed using exploratory analytical techniques, including rescaled single-item indices, user segmentation, and Spearman correlation analysis to identify patterns and relationships among variables. The results reveal significant associations between socio-demographic characteristics, user type, and acceptance of permanent pedestrianization, as well as differentiated patterns of urban experience. These findings provide empirical evidence to support decision-making in urban mobility policies and contribute to the academic discussion on pedestrianization in intermediate Latin American cities. Full article

Historic linear corridors in living-heritage settings concentrate identity, everyday mobility, and visitor experience. Balancing authenticity, adaptability, and publicness therefore benefits from evidence that jointly characterizes long-term physical change, network accessibility, and eye-level interface conditions. Existing assessments often focus on façades or single time slices, leaving limited evidence that relates decades of built-fabric reconfiguration (changes in building footprints, street edges, and open-space fragmentation) to multi-scale accessibility and pedestrian-facing qualities. We propose an integrated and interpretable workflow for the Beishan Street corridor in the West Lake World Heritage core (Hangzhou) over 1929–2024. Scale-sensitive morphological metrics, multi-radius network measures (integration and centrality), and street-view semantic segmentation are aligned at corridor-segment resolution and examined together with segment-level functional intensity derived from POIs using transparent linear models. The results indicate a long-term shift from a lakeshore-led to a road-led spatial logic, followed by post-2000 stabilization near saturation. Average integration increases, while the high-integration tail becomes thinner. In connector-removal scenarios, the eastern segment shows a relative accessibility decline, and a central hinge node emerges as a vulnerability hotspot (bottleneck) where through-movement concentrates. Eye-level profiles differ by segment: the west exhibits maximal canopy and lower sky visibility, the center shows stronger continuous walls around compounds with intermittent forecourt openings, and the east is characterized by compact residential heritage frontage with low vegetation. Segment-level associations suggest that address and wayfinding density tends to co-occur with clearer frontages, wider sky cones, and stronger tree cover. Transportation-related and access/passage facilities tend to co-occur with higher ground-plane legibility, measured as wider and more continuous road and sidewalk surfaces. Medical and government clusters tend to co-occur with lower sky openness. Recommended actions include the following: (1) mesh-aware protection of key connectors and the hinge, (2) segment-specific targets for façade share and ground cues with planned punctuations, (3) tailored interface standards for institutional clusters, (4) scalable address and wayfinding systems, and (5) event staging that preserves effective roadway and sidewalk capacity. Full article

The Venice lagoon is the largest in the Mediterranean Sea. The historic city of Venice, located on a cluster of islands in the centre of this lagoon, is an enchanting and iconic destination for national and international tourists. The historical centre of Venice and the other islands of the lagoon, such as Burano, Murano and Torcello, attract crowds of tourists every year. Transportation is provided by boats navigating the lagoon along a network of canals. The lagoon itself attracts visitors who enjoy various outdoor recreational activities in the open air, such as fishing and sunbathing. While statistics are available for the activities targeting the islands, no information is currently available on the spatio-temporal distribution of recreational activities across the lagoon waters. This study explores the feasibility of using Sentinel-2 satellite images to assess and map the spatio-temporal distribution of boats in the Venice Lagoon. Cloud-free Level-2A images have been selected to study seasonal (summer vs. winter) and weekly (weekends vs. weekdays) variabilities in 2023, 2024, and 2025. The RGB threshold filtering and the U-Net Semantic Segmentation were applied to the Sentinel-2 images to ensure reliable results. Two spatial indices were produced: (i) a Water Recreation Index (WRI), identifying standing boats in areas attractive for recreation; and (ii) a Water Transportation Index (WTI), mapping moving boats along the canals. Multi-temporal WRI maps allow areas with recurring recreational activities—that are significantly higher in the summer compared to winter, and on weekends compared to other weekdays—to be identified. The WTI identifies canal paths with higher traffic intensity with seasonal and weekly variations. The latter should be targeted by measures for traffic control to limit wave induced erosion, while the first could be subject to protection or development strategies. Full article

Urban parks are central to public health and equity, yet less is known about how park travel distance, park “attractor” types, and time-of-day visitation rhythms co-evolved through and after the COVID-19 pandemic. Using anonymized smartphone mobility traces for public parks in Las Vegas, USA (2018–2022), we construct weekly origin–destination flows between census block groups (CBGs) and parks and link origins to socio-economic indicators. We first estimate visitor-weighted mean travel distance with a segmented time-series model that allows pandemic-related breakpoints. Results show that average park-trip distance (≈8.4 km pre-pandemic), including a substantial share of long-distance trips (≈52% of visits), contracted sharply at the onset of COVID-19, and that both travel radii and seasonal excursion peaks only partially rebounded by 2022. Next, cross-sectional OLS/WLS models (R² ≈ 0.08–0.14) indicate persistent socio-spatial disparities: CBGs with higher educational attainment and larger shares of Black and Hispanic residents are consistently associated with shorter park-trip distances, suggesting constrained recreational mobility for socially disadvantaged groups. We then identify a stable two-type park typology—local versus regional attractors—using clustering on origin diversity and long-distance share (silhouette ≈ 0.46–0.52); this typology is strongly related to visitation volume and temporal usage profiles. Finally, mixed-effects models of evening and late-night visit shares show that regional attractors sustain higher nighttime activity than local parks, even as citywide evening/late-night visitation dipped during the mid-pandemic period and only partly recovered thereafter. Overall, our findings reveal a durable post-pandemic re-scaling of park use toward more proximate, CBG-embedded patterns layered on enduring inequities in access to distant, destination-oriented parks. These insights offer actionable evidence for equitable park planning, targeted investment in high-need areas, and time-sensitive management strategies that account for daytime versus nighttime use. Full article

Tourism has become a key sector of the global economy and a driver of economic growth. The Wine Routes are a specialized tourist offering that meets the needs of a segment of travelers, contributing to the enhancement and preservation of rural areas. Recent studies have highlighted that among the reasons driving tourists to choose Slow tourism is the desire to discover local food and wine as an expression of territorial culture. This study assumes that the characteristics of Wine tourists may have changed in recent years. An extensive survey was conducted on visitors of Sicilian Wine Routes. The results examine Wine tourism and Slow tourism and their overlap for tourists who travel around rural territories following the lure of food and wine. The results highlight a new segmentation and the existence of a new profile of Eno-Slow tourists with new primary motivations and needs. On a global level, the new Eno-Slow tourist fits perfectly into the international trends of responsible and sustainable tourism, strengthening the image of wine-producing regions as models of balance between culture, nature, and quality of life. These findings are very important as they provide useful guidance for policymakers and stakeholders committed to the sustainable competitiveness of rural tourist destinations, both locally and internationally. Full article

Road running tourism events continue to grow worldwide and are increasingly leveraged by destinations seeking diversification and seasonality reduction. This study examines the motivational structure of participants in the 2025 Half Marathon Magaluf (Mallorca, Spain)—a mature Mediterranean resort undergoing tourism repositioning—and analyses how motivation-based segments relate to socio-demographic, sporting and tourism behaviours. Data were collected through a self-administered online survey (N = 306). An Exploratory Factor Analysis (EFA), followed by a Confirmatory Factor Analysis (CFA), validated a five-factor motivational structure: sport-related hedonism, socialisation, personal challenge, inclusiveness and digital interaction. A k-means cluster analysis identified five distinct segments—Digital Enthusiasts, Inclusive Enjoyers, Socializers, Hedonic Achievers and Inclusivists—each exhibiting differentiated patterns in Experience-Use History (EUH), origin, gender, and running-club membership. Notably, Socializers recorded the longest stays, Inclusive Enjoyers were overrepresented among first-time visitors, and Digital Enthusiasts and Hedonic Achievers included a higher share of international runners. These findings expand traditional motivational models by incorporating inclusiveness and digital interaction as emerging drivers and offer actionable recommendations for event organisers and destination managers seeking to enhance overnight stays and support destination repositioning strategies. Full article

In the context of rapid urbanization, the connection between humans and nature has progressively diminished. As an essential approach to fostering public ecological awareness and well-being, nature education requires greater integration into urban green space planning and management. This study examines 14 country parks, urban parks, and forest parks in Beijing, conducting questionnaire surveys in six representative parks and collecting 820 valid responses. Combining image semantic segmentation techniques, the research employs the PSPNet model trained on the ADE20K dataset to automatically extract landscape features of nature education spaces. These features are then integrated with visitor perception evaluations through univariate linear regression models to analyze the impact of spatial variables on visitor perceptions. Results indicate that building coverage, plant species density, interpretation sign density, number of artificial interpretations, and number of nature education activities offerings show significant positive correlations (p < 0.05) with visitor perceptions. In contrast, excessive artificial structures exert a negative influence. The R² values of each model ranged from 0.12 to 0.34, indicating that natural education space features possess explanatory power for visitor perceptions but remain influenced by multiple interacting factors. This study establishes a quantitative evaluation framework linking natural education space landscape features to visitor perceptions, providing a scientific basis for natural education planning and spatial optimization in parks within megacity contexts. Full article

Understanding destination image perceptions is critical for tourism destinations seeking to maintain competitive advantage and foster visitor loyalty. While the traditional literature suggests that first-time and repeat visitors differ significantly in their cognitive and affective destination image perceptions due to experiential differences, emerging evidence from destinations with established branding challenges these conventional assumptions. Thailand, as a globally prominent destination with sustained branding initiatives since 1998, provides an ideal context for examining whether visitor experience moderates destination image formation and loyalty outcomes. This study investigates differences in cognitive and affective destination image perceptions and destination loyalty between first-time and repeat international travellers to Thailand, applying the cognitive–affective–behavioural (CAB) model to examine how these constructs influence revisit and recommendation intentions across visitor segments. Data were collected from 392 international tourists visiting three major southern coastal destinations in Thailand (Phuket, Krabi, and Phang-Nga) through face-to-face surveys using purposive sampling. The sample comprised 185 first-time travellers and 207 repeat visitors. Partial least squares structural equation modeling (PLS-SEM) with multigroup analysis was employed to examine structural relationships and test for significant differences between visitor cohorts using parametric, Welch–Satterthwaite, and permutations tests. Contrary to theoretical expectations, multigroup analysis revealed no statistically significant differences between first-time and repeat travellers across all examined pathways (all permutation p-values > 0.05). Both groups demonstrated equivalent perceptions regarding how cognitive image influences affective image, and how these dimensions affect revisit and recommendation intentions. Affective image emerged as the dominant predictor of destination loyalty for both segments, while cognitive image primarily served as an enabler of emotional responses. These findings challenge traditional assumptions about experiential differences between visitor types suggesting that mature destinations with consistent long-term branding may achieve perceptual uniformity that transcends direct experience. Destination marketing organizations should implement unified rather than segmented strategies, prioritizing emotional engagement mechanisms over rational attribute promotion to cultivate destination loyalty across all visitor segments. However, these findings are specific to coastal leisure destination and may not fully generalize to other destination types. Full article

The urban street environment strongly influences pedestrian satisfaction, with visual perception elements playing a pivotal role. Historic districts serve not only as carriers of urban culture but also as key tourism resources, where spatial quality directly shapes visitor experience and city image. This study takes the Shenyang Fangcheng historic district as a case, combining field surveys and questionnaires to gather pedestrian satisfaction data, while applying semantic segmentation of street imagery to quantify visual elements. Using correlation analysis and multiple regression models, the research systematically reveals relationships and mechanisms linking visual elements with pedestrian satisfaction. Results show that an increase in landmark buildings and landscape features enhances legibility and attractiveness; optimizing spatial configuration improves openness and walking comfort; and reducing vehicle presence strengthens perceived safety and overall experiential quality. By integrating subjective perceptions with objective visual indicators, this study offers empirical evidence and methodological innovation to support enhancement of walkability and promote human-centered street design in historic districts. Full article

This study investigated the interrelationships among Lifestyles of Health and Sustainability (LOHASs), recreational benefits, and environmentally responsible behaviors (ERBs) of visitors to the Xitou Forest Recreation Area in Taiwan and estimated the conservation value of its forest recreation resources using the contingent valuation method. The structural equation modeling analysis supported six of eight hypotheses. Three LOHAS factors (environmental awareness, internal health, and external health) indirectly promoted ERB through recreational benefits, including environmental education, psychological, physiological, and social benefits. Higher income, stronger perceived recreational benefits, and recognition of ecological or facility value significantly increased visitors’ willingness to pay (WTP). Among the three identified lifestyle clusters, the health-conscious LOHAS group consistently exhibited the highest WTP at NTD$263, with a confidence interval of NTD$255–271, surpassing both the eco-friendly group (NTD$193–209) and socially engaged group (NTD$184–200), demonstrating a stronger commitment to ecological and environmental protection and recreational facility maintenance. Forest recreation managers can target different LOHAS segments and emphasize the holistic benefits of forest recreation. Implementing flexible pricing alongside environmental education can increase WTP, supporting sustainable conservation funding and improved visitor experiences. Full article

Understanding how different population groups interact with urban environments is essential for analyzing spatial dynamics and informing urban planning, especially in cities experiencing high visitor pressure. This study presents a methodological framework for the spatial and temporal delineation of urban areas based on user-generated location-based data. By collecting nearly 1 million Google Maps reviews in the municipality of Donostia-San Sebastián, we identify and classify user profiles based on their spatiotemporal behavior. First, we collect points of interest (POIs) and associated reviews, including profile identifiers and timestamps. Then, we perform user-level webscraping to reconstruct review histories, enabling us to infer the predominant geographical origin of each user. Users are classified as residents or tourists using both spatial prevalence and temporal activity patterns. The resulting data is aggregated onto a hexagonal grid for geostatistical analysis. Using the Getis-Ord Gi* statistic and Mann-Kendall trend tests, we identify hotspots and long-term trends of activity for different population segments. Additionally, we propose novel indicators such as predominant periods of activity and diversity of geographical origin per cell to characterize heterogeneous patterns of urban use. Our results reveal distinct behavioral patterns, highlighting a more evenly distributed use of urban space by residents, with spatially overlapping yet temporally offset activities across central areas where tourists tend to concentrate their interactions. This spatiotemporal concentration is intensified as the tourists’ origin becomes more distant, suggesting that proximity shapes urban engagement. The proposed methodology offers a replicable strategy for urban analysis using publicly accessible user-generated data and contributes to the understanding of sociospatial dynamics in tourism-intensive cities. Full article

This study examines hiking within the context of active lifestyle trends, with a particular focus on the implications of physical limitations for its implementation in forest environments. The primary objective is to analyze how hiking offerings can be adapted to account for varying physical constraints that influence the selection and accessibility of forest landscapes. Special emphasis is placed on the intersection of forest-based recreation and geotourism, as both natural settings provide not only opportunities for physical activity but also unique geological and ecological values that shape visitor experience. The research emphasizes the role of physical fitness as a key factor in segmenting hiking participants, introducing it as a measurable parameter for categorization. To achieve this, the study applies quantitative methods, including motor ability tests, physical fitness assessments, somatic measurements, and verification of tourist categorization. Statistical analyses employed include descriptive statistics of performance values, two-sample t-tests, and Pearson’s correlation coefficients. The framework for designing hiking experiences highlights the importance of integrating forest trails and geotourism sites into accessible tourism planning. This approach demonstrates the potential benefits of incorporating physical fitness considerations into hiking development, ultimately enhancing accessibility, inclusivity, and safety in forest and environments. Full article

Recreation, aesthetic appreciation, identity, and spiritual values are among the cultural ecosystem services (CES) produced by long-distance historic and pilgrimage trails. However, it is still difficult to convert these experiential benefits into quantifiable economic flows. This study collected 560 valid responses from an in-field survey conducted along the Via degli Dei (Bologna–Florence). Robust visitor clusters were created using Gower dissimilarities, Partitioning Around Medoids (PAM), silhouette diagnostics, and Factor Analysis for Mixed Data (FAMD). Each cluster was then profiled according to seasonal patterns, information channels, individual-level, per-category expenditures (accommodation, food, transport, services, and equipment), as well as motivations. Four segments are identified—Student Campers (low-budget, peak-summer), Working-Age Male B&B Hikers (short stays, B&B), Young Women on Mixed Lodging (mixed accommodation), and Midlife Comfort-Seekers (higher spend, shoulder-season)—underpinning our spending, seasonality, and managerial implications. Student Campers had the lowest absolute expenditures, while Midlife Comfort-Seekers had the highest (median lodging €180; food €175). The study offers practical levers for route governance (targeted communications, low-impact lodging strategies, shoulder-season promotion) to improve local value capture while reducing environmental pressure by connecting typologies to monetary CES flows. The findings provide a reproducible model for implementing recreational CES on historical-cultural tours. Full article

This study investigates the potential of creative tourism in Thailand’s national parks and the role of social media in promoting creative tourism experiences. The objectives were to examine creative tourism activities, identify visitor segments based on activity preferences and media use, and propose targeted communication strategies to enhance engagement and support sustainable tourism. A mixed-methods design combined document reviews of 133 national parks, field surveys in 10 parks, and a structured visitor survey with 1133 respondents across terrestrial and marine parks. The study identified 25 tourism activities, of which 20 were classified as creative tourism. Exploratory Factor Analysis revealed four key dimensions: nature-based learning, scenic immersion, community participation, and culinary experiences. Cluster analysis segmented visitors into five groups: Local Advocates, Nature Explorers, Food Enthusiasts, Nature Learners, and Diverse Enthusiasts. Media preferences varied across groups. Nature Explorers and Food Enthusiasts engaged strongly with short-form videos and scenic visuals, while Local Advocates and Nature Learners preferred educational and text-based formats. Diverse Enthusiasts, the largest segment, interacted with multiple content types. Scenic imagery emerged as the most influential theme overall. These results provide practical implications for designing creative tourism strategies and creating social media campaigns to diverse groups of tourists in Thailand’s national parks. Full article

Research on coastal recreational activities has grown substantially, yet studies focusing on user perceptions of these spaces—critical for optimizing tourism experiences and management—remain fragmented and underdeveloped. This study addresses this gap by examining tourist sentiment in Xiamen, a renowned coastal city in China, using social media data. Text mining tools were utilized to process the Weibo contents through text segmentation, frequency analysis and cluster analysis. The Two-way Neural Network Fusion Model Based on the BERT (TNNFMB) deep learning approach was employed using transfer learning for sentiment analysis, while the Latent Dirichlet Allocation (LDA) model was used to uncover latent thematic patterns. Sentiment polarity analysis revealed that positive comments constituted 56.47%, negative comments only 16.3%, and neutral comments 27.2%, confirming a generally positive perception of visitors’ coastal experiences. Tourists’ social media posts primarily revolve around five core themes in coastal areas: coastal waters, waterfronts, adjacent environments, culture and creativity, and reputation and expectation. The spatial and temporal changes in sentiment scores were discovered. Areas emphasizing sea–land landscapes, cultural theme reinforcement, and open public activities generally achieved high and stable sentiment scores. Natural and natural–artificial mixed coastlines experienced significant seasonal variations in sentiment. The recommendations of this study, generated from a sentiment perspective, include shaping a harmonious coastal environment by improving coastal management and support services to enhance the comfort of the tourist experience. This study advances understanding of user-centric coastal tourism dynamics, providing evidence-based tools for managers to enhance tourist experiences and spatial quality. Full article