Search Results (902)

The boom of rural tourism in Extremadura (Spain) has been promoted by different administrations, both national and European, through multiple initiatives carried out for several decades. However, it has been developed in a generic way, ignoring the potential of agricultural landscapes for the development of agritourism as a specific variety. Therefore, this research aims to know the opinion of rural lodging owners in order to understand how the activity can be reoriented towards a more specific one, taking advantage of the potential of this type of tourist attraction. For this purpose, information has been collected through surveys to these owners. By carrying out a statistical analysis and a territorial analysis, it is possible to know their socio-demographic structure, as well as the characteristics of the accommodations and other aspects related to the activities they offer to tourists. Following the analyses, characteristics such as age, level of education and sources of income were identified, revealing a lack of knowledge of agritourism. It was also discovered that many lodgings could offer agritourism activities due to the presence of farms and attractive landscapes for tourists. However, there was a lack of activities related to agriculture and livestock, which represents a missed opportunity for the development of agritourism. The territorial analysis showed patterns of activity supply in certain areas, suggesting the possibility of promoting the sustainable development of rural areas through the diversification of tourism activities. Perhaps the main conclusion that can be drawn is the need to take advantage of the attractive landscape and the presence of activity companies to promote the economic and social development of rural areas, contributing to the conservation of traditions and the fight against depopulation. Full article

This study presents empirical findings highlighting the role of pollution control measures in shaping the trajectory of local tourism market development. Analysis of provincial-level panel data underscores the pronounced impact of water pollution compared to air pollution. While water pollution tends to manifest as a localized issue, air pollution transcends provincial boundaries, posing challenges that extend across multiple regions simultaneously. The results demonstrate how imperative it is for northern China’s heavily polluted provinces to redouble efforts aimed at ameliorating their negative image within the tourism market. In contrast to their southern counterparts, these regions currently face hurdles in attracting tourists, underscoring the disparity in tourism acceptance between northern and southern provinces. Drawing insights from the successful implementation of tourism initiatives centered on the small-town economy in southern China, this research advocates for a paradigm shift in policy formulation for northern provinces. By leveraging lessons learned from southern counterparts, policymakers can chart a course toward sustainable tourism development tailored to the unique characteristics of each region. In delineating the differential impacts of air and water pollution on the Chinese tourism market, this study contributes to a nuanced understanding of tourism dynamics across provinces. The findings serve as a foundational framework for guiding future tourism market development strategies tailored to the heterogeneous landscape of Chinese provinces. Full article

The allure of urban green spaces has captured the attention of researchers, especially in regions abundant in botanical wonders worldwide. Surprisingly, the case of Morocco, a country with a strong botanical tradition, has received little attention from researchers. Here, we explore the unique case of the emblematic “Majorelle Garden” in Marrakech, southern Morocco, through the reviews of its many visitors posted on the TripAdvisor platform. This article looks at the question “to what extent can a garden—such as the Majorelle—be a major attraction in a cultural tourist destination?”. Methodologically, we adopted a quantitative approach, examining visitors’ sentiments using the VADER tool from 2006 to 2023, and classifying them into three categories: negative, neutral, and positive. Furthermore, by utilizing LDA (latent dirichlet allocation), we uncover key topics running through visitors’ experiences. Our findings show that positive sentiments prevail, given the culturo-historical and symbolic quality of the garden as a crucible and vector of creativity, with the emergence of sub-corpuses that highlight certain divergences and convergences around the “Majorelle” case. This insight supports sustainability efforts by empowering the managers of the garden studied and industry professionals to develop and implement relevant strategies for managing and marketing the garden tourism attraction experience. In addition, this case study shows how a private urban garden reveals its key role in preserving cultural and botanical heritage, essential for future generations. It shows the garden’s positive impact on sustainable tourism through its ability to attract cultural visitors who appreciate and respect the local environment. Full article

This study examines the potential of religious facilities to enhance urban tourism by evaluating urban traditional temples as cultural tourism resources and identifying key tourism indicators. An evaluation framework was developed, encompassing five attributes—historicity, accessibility, inter-connectivity, convenience, and publicity—each with three sub-factors. The research question focuses on what factors distinguish successful urban traditional temples like Bongeunsa and Jogyesa from others. Seven traditional temples in Seoul were selected for comparison. Bongeunsa and Jogyesa, functioning as major tourist attractions, were compared with five other temples with potential but fewer visitors. The findings indicate that Bongeunsa and Jogyesa scored higher for all of the attraction attributes and the majority of the sub-factors. Differences in the correlation between each factor and visitor numbers were also observed. The research methodology included literature reviews, deriving cultural tourism attributes, and evaluating selected temples. This approach highlights underdeveloped factors in other urban temples and suggests strategies for enhancement, providing valuable insights for urban tourism policy and development. Full article

While aspiring to become internationally valued producers of high-quality wines, certain Romanian wineries recently turned towards wine tourism. Given the increasing role of smart devices and online-based information in holiday selection and planning, the main objective of the paper is to evaluate the online presence, informational content and effectiveness of Romanian wineries’ websites for the promotion of wine tourism. This evaluation comprised 53 features tested in previous research and organized into four categories: main website characteristics, wine tourism, marketing, and education. Based on content analysis conducted on 154 websites of wineries identified in all Romanian regions, scores were computed and, subsequently, wineries were classified, mapped, and evaluated. The findings show that certain basic features are overall available, while exclusive features that could positively influence tourist preferences and experiences are insufficient in terms of design, education, and marketing characteristics. Less than 50% of the analysed websites inform about wine tasting activities, less than 35% specify visiting hours, and less than 20% mention tourist amenities. The websites that indicate other local wineries, allied industries or tourist attractions represent exceptions. This study underlines the importance of leveraging digital tools within the marketing strategy of wineries and the need to enhance networking among regional stakeholders as prerequisite for sustainable development. Full article

Dimba Cave is a large array of natural galleries in limestone mountains of the Democratic Republic of the Congo that contains highly valued pre-historic archaeological artifacts. The cave attracts a high number of tourists every year and is used by local populations as a water supply source. The main objective of the research undertaken in Dimba Cave consisted of assessing the quality of water and sediments from Dimba Cave ponds through evaluating contamination by heavy metals (15 elements analyzed, including As, Cd, Pb, and Hg) and by microbial populations (including Escherichia coli and total coliforms) in order to estimate the ecotoxicological risk to humans and to non-human biota. All water samples collected in the cave ponds showed very high metal concentrations exceeding the internationally recommended limits for drinking water, particularly for Cr, Mn, As, Pb, and Hg. Most sediment samples from cave ponds also displayed high heavy metal concentrations. The calculated pollution parameters, such as the enrichment factor (EF), and ecological risk parameters, such as the ecological risk index (Eri), indicated that the sediment may be toxic to aquatic biota. Furthermore, the microbiological analysis of pond waters indicated a widespread contamination with bacteria such as Escherichia coli, Enterococcus spp., total coliforms, and Pseudomonas spp., probably from anthropogenic and/or animal sources. Therefore, the consumption of Dimba Cave water as a drinking water represents a threat to public health. Urgent management measures should be enforced to protect public health and the cave ecosystem. Full article

Visitor attraction dynamics lead tourism industry paths. A complex artificial neural network model was built to predict the incoming tourism flow in the Apulia region of Southern Italy as a function of the heterogeneity of the tourism supply available in this area. Open data from the Regional Tourism Observatory were targeted. Information on the distribution of facilities and activities that attract regional tourist flows was collected and grouped by municipality. An artificial neural network model was built with total tourist attendance as the dependent variable and tourist attractions as regressors. The Root Mean Square Error (RMSE) was used to select the optimal model using the lowest value. The final model was run with a hidden layer consisting of three neurons and a decay value of 0.01. A Multi-Objective Counterfactual model (MOC) was then constructed using a randomly selected row of normalized data frame to validate a useful tool in increasing total tourist attendance by 20% over that of the randomly selected municipality. A Garson’s variables importance plot indicated natural landscapes such as beaches, sea caves, and natural parks have a primary role expressed in terms of variable importance in the AI algorithm when used as an innovative methodology for evaluating tourism flows in the Apulia region. A further MOC model built using a randomly selected row of normalized data frame showed convents, libraries, historical buildings, public gardens, and museums as the top five features most modified to improve total attendance in a randomly selected municipality. Use of AI modeling revealed that the implementation of nature-based solutions may speed up the flow of tourism in the Apulia region while also promoting sustainable social development. Full article

As governments in various countries and regions issue tourism-friendly policies in the post-pandemic period, the voices for tourism consumption recovery and innovative transformation have attracted great attention. Many scholars, experts and industry professionals in the field of festivals are actively exploring efficient solutions for festival marketing and sustainability. It is worth rethinking tourists’ consumption psychology and perceived image regarding exiting festival products as well as the antecedents that affect festival loyalty. The Qingdao International Beer Festival, as one of the most influential festivals in China, was selected as the research case for this study. The main goal of this study was to investigate festival consumption promotion mechanisms by proposing a conceptual framework in which the associations between destination familiarity, product familiarity and loyal intentions (re-patronage and recommendation) were examined with mediators of overall festival image, perceived value and overall satisfaction. The moderating role of visitor involvement in the proposed framework was also adequately demonstrated. Moreover, the causal recipes for loyalty intentions have also been identified by employing a fuzzy-set qualitative comparative analysis (fsQCA) and a necessary condition analysis (NCA). The research findings are expected to provide a significant reference for the recovery and improvement in competitiveness of the entire festival industry. Full article

With the development of positioning technology and the widespread application of mobile positioning terminal devices, the acquisition of trajectory data has become increasingly convenient. Furthermore, mining information related to scenic spots and tourists from trajectory data has also become increasingly convenient. This study used the normalization results of information entropy to evaluate the attraction of scenic spots and the experience index of tourists. Tourists and scenic spots were chosen as the probability variables to calculate information entropy, and the probability values of each variable were calculated according to certain methods. There is a certain competitive relationship between scenic spots of the same type. When the distance between various scenic spots is relatively close (less than 8 km), a strong cooperative relationship can be established. Scenic spots with various levels of attraction can generally be classified as follows: cultural heritage, natural landscape, and leisure and entertainment. Scenic spots with higher attraction are usually those with a higher A-level and convenient transportation. A considerable number of tourists do not choose to visit crowded scenic destinations but choose some spots that they are more interested in according to personal preferences and based on access to free travel. Full article

User-generated geo-tagged photos (UGPs) have emerged as a valuable tool for analyzing large-scale tourist place emotions with unprecedented detail. This process involves extracting and analyzing human emotions associated with specific locations. However, previous studies have been limited to analyzing individual faces in the UGPs. This approach falls short of representing the contextual scene characteristics, such as environmental elements and overall scene context, which may contain implicit emotional knowledge. To address this issue, we propose an innovative computational framework for global tourist place emotion analysis leveraging UGPs. Specifically, we first introduce a Multi-view Graph Fusion Network (M-GFN) to effectively recognize multi-view emotions from UGPs, considering crowd emotions and scene implicit sentiment. After that, we designed an attraction-specific emotion index (AEI) to quantitatively measure place emotions based on the identified multi-view emotions at various tourist attractions with place types. Complementing the AEI, we employ the emotion intensity index (EII) and Pearson correlation coefficient (PCC) to deepen the exploration of the association between attraction types and place emotions. The synergy of AEI, EII, and PCC allows comprehensive attraction-specific place emotion extraction, enhancing the overall quality of tourist place emotion analysis. Extensive experiments demonstrate that our framework enhances existing place emotion analysis methods, and the M-GFN outperforms state-of-the-art emotion recognition methods. Our framework can be adapted for various geo-emotion analysis tasks, like recognizing and regulating workplace emotions, underscoring the intrinsic link between emotions and geographic contexts. Full article

The burgeoning field of sustainable tourism in historically significant urban districts has derived increasing attention in tandem with broader urban economic development. The perceived image of a tourist destination significantly affects tourist consumption behaviors and destination choices, while negative evaluations provide destination managers with insights for targeted improvements to tourist amenities, thereby contributing to the sustainable development of these historically significant districts. This study leveraged Python 3.12.3 software to collect online textual data from popular tourism websites, specifically Ctrip 8.71.4 and Mafengwo 11.1.7. Then, ROST CM6.0 software facilitated high-frequency word analysis, network semantic analysis, and sentiment analysis to outline the perceived image and characteristics of the Macau Historic District, a UNESCO World Heritage site, from the perspective of tourists. The findings are as follows: (1) The image of the Historic Centre of Macao as a tourist destination comprises four primary dimensions: cultural (16.02%), landscape (30.85%), emotional (16.97%), and local (36.16%). (2) Tourists perceive the Historic Centre of Macao as a blend of dynamism and tranquility, tradition, and modernity. (3) Emotional evaluations of the Historic Centre of Macao as a tourist destination are primarily positive (85.45%), whereas negative sentiments constitute 5.76%, with recurring themes pertaining to overcrowding, high prices, a lack of interactive experiences at attractions, excessive commercialization, and insufficient public rest facilities. These findings offer valuable directives for the future planning and development of tourism in Macau, a city recognized for its World Heritage status. (4) In summary, the thematic image of the Historic Centre of Macao can be considered authentic, romantic, and commercialized. Full article

Social commerce plays a significant role in various aspects of the hotel industry. By using social commerce platforms such as Facebook, Instagram, and hotel booking websites, hotels can enhance their brand visibility, engage more effectively with guests, and stimulate hotel bookings. Nonetheless, prior research reported a lack of studies in this area, namely social commerce in the context of domestic tourism. Drawing on Stimuli–Organism–Response (SOR) theory as being a well-established framework in social commerce research, this study seeks to examine the impact of social commerce on hotel booking intentions, both directly and indirectly, by considering the mediating effects of both brand image and customer engagement. This research used an online survey questionnaire as a tool for collecting primary data from domestic tourists in Egypt during the period from January to April 2024. The study sample encompassed 315 participants who were recruited using the convenience sampling technique. Using Smart PLS 4.0 software, Structural Equation Modeling was performed to examine the proposed model and hypotheses. The results highlighted the significant impact of social commerce on both hotel brand image and customer engagement, which in turn encouraged booking intentions among potential domestic guests. The results also supported the significant mediating effect of hotel brand image and customer engagement in the relationship between social commerce and hotel booking intentions. This study provides some theoretical contributions to the literature of hospitality management by addressing notable gaps in knowledge. This study also suggests some practical implications for industry executives that support their social commerce techniques and boost booking intentions and behavior among domestic tourists such as creating visually attractive content, sponsoring virtual mega events, actively interacting with social media followers, and incorporating booking functionalities in social media platforms. In so doing, hotels can boost their sustainable marketing practices to target a promising market segment by exploiting Web 2.0 capabilities. Full article

Botanical areas under international protection are important for preserving plant and animal ecosystems. Forest ecosystems within Important Plant Areas (IPAs) are essential for preserving biological and species diversity. In AP Vojvodina (Northern Serbia), there are 27 IPAs, totaling 328,208 ha. Fruška Gora National Park (FGNP) territory is under international protection as an IPA. A large part of this park is covered by a forest ecosystem comprising various deciduous and evergreen trees, shrubs, and grasses. The forest ecosystem in FGNP is rich with natural attractions that are important for hiking, mountaineering, trekking, scientific tourism, wildlife, bird and animal watching, and community tourism. In this article, the authors used a quantitative method of collecting and processing data obtained through survey research. For this research, 610 respondents (325 residents and 285 visitors) were surveyed. Using questionnaires, the respondents expressed their opinions about the tourism potential of FGNP, as well as the satisfaction of tourists with current tourism development. The research results indicate that the forest ecosystem within the FGNP and IPA area has an important potential for the development of nature-based tourism (NbT) and that this tourism form significantly affects not only the satisfaction of the respondents but also increased awareness of the preservation and protection of these areas. Full article

Internet attention, as a reflection of the actual focus of the public, not only responds to potential tourism demand but also represents the overall perception and preference characteristics of tourists for a tourist destination. The study selected eight representative tourist cities in China as research objects. The impact of the COVID-19 pandemic on the tourism patterns of Chinese cities was analysed using various analytical methods, including the seasonal characteristic index, the entropy value method, the coefficient of variation, and the tourism background trend line model. The study revealed the following conclusions: (1) following the conclusion of the epidemic, potential tourism demand demonstrated a notable recovery in comparison to the epidemic period, yet remained below the level observed in the same period before the epidemic. (2) The seasonal variations in internet attention after the end of the epidemic demonstrated an increased degree of differentiation, with the tourism market tending to be more prosperous during the high season and less so during the low season. (3) The epidemic had a relatively minor impact on the internet attention of famous tourist attractions and natural ecological attractions. In contrast, it had a more significant influence on historical and cultural sites and modern amusement spots. The findings of this study offer insights that can inform the recovery and sustainable development of tourist cities in the post-pandemic era. Full article

With the tourism industry continuing to boom, the importance of tourism mascots in promoting and publicizing tourism destinations is becoming increasingly prominent. Three core dimensions, market trend, appearance design, and audience feedback, are numerically investigated for deeply iterating tourism mascot design. Further, a subjective and objective evaluation weighting model based on the hierarchical analysis method (AHP) and entropy weighting method is proposed, aiming to utilize the advantages of these methods and ensure the entireness and correctness of results. Taking the mascots of six famous tourist attractions in Xi’an as an example, the feasibility and effectiveness of the evaluation model are verified. Data analysis and modeling results confirm that the three core evaluation indexes of scalability, innovation, and recommendation should be focused on in the design of tourism mascots in the three dimensions of market trends, appearance design, and audience feedback. The evaluation index scores are 0.1235, 0.1170, and 0.1123, respectively, which further illustrates the priority of mascot design. The evaluation model constructed by the research provides decision-makers with a comprehensive evaluation tool from the perspective of tourist experience, and also effectively assists the optimization process of mascot design. In addition, the model has good versatility and adaptability in structural design and evaluation logic and can be widely used in the optimization and evaluation research of brand mascots. Full article