Search Results (40)

Tourist satisfaction of nighttime urban lakes as scenic areas, such as the Daming Lake, is influenced by multiple factors, which are crucial for tourists’ experiences and the sustainable development of these areas. This paper explores the factors impacting nighttime visitor satisfaction at the Daming Lake Scenic Area. Basing our studies on analysis of the literature and questionnaire surveys, the study constructs a visitor satisfaction evaluation index system based on the Expectancy-Disconfirmation Theory. Utilizing the revised importance-performance analysis method, the study identifies several significant influencing factors including the distinctive features of nighttime shopping products, the rich variety of nighttime tourscape and entertainment products, the aesthetically pleasing design of nighttime lighting products, the affordable price of nighttime dining products, and the diverse methods, reasonable pricing, and multimodal transit options of nighttime transportation. Furthermore, it finds the main factors that reduce tourists’ satisfaction in nighttime urban lakes include: premium pricing of nighttime shopping and dining products, transport infrastructure deficiencies, the cultural connotation of tourism products, and the safety of nighttime tourscape and entertainment products. This research provides insights to enhance satisfaction in urban lake scenic areas and expands the application of the tourist satisfaction theory. Full article

Suyukou Gully, located on the eastern slope of the Helan Mountains in northwest China, is a typical debris-flow-prone catchment characterized by a steep terrain, fractured bedrock, and abundant loose colluvial material. The area is subject to intense short-duration convective rainfall events, which often trigger destructive debris flows that threaten the Suyukou Scenic Area. To investigate the dynamics and risks associated with such events, this study employed the FLO-2D two-dimensional numerical model to simulate debris flow propagation, deposition, and hazard distribution under four rainfall return periods (10-, 20-, 50-, and 100-year scenarios). The modeling framework integrated high-resolution digital elevation data (original 5 m DEM resampled to 20 m grid), land-use classification, rainfall design intensities derived from regional storm atlases, and detailed field-based sediment characterization. Rheological and hydraulic parameters, including Manning’s roughness coefficient, yield stress, dynamic viscosity, and volume concentration, were calibrated using post-event geomorphic surveys and empirical formulations. The model was validated against field-observed deposition limits and flow depths, achieving a spatial accuracy within 350 m. Results show that the debris flow mobility and hazard intensity increased significantly with rainfall magnitude. Under the 100-year scenario, the peak discharge reached 1195.88 m³/s, with a maximum flow depth of 20.15 m and velocities exceeding 8.85 m·s⁻¹, while the runout distance surpassed 5.1 km. Hazard zoning based on the depth–velocity (H × V) product indicated that over 76% of the affected area falls within the high-hazard zone. A vulnerability assessment incorporated exposure factors such as tourism infrastructure and population density, and a matrix-based risk classification revealed that 2.4% of the area is classified as high-risk, while 74.3% lies within the moderate-risk category. This study also proposed mitigation strategies, including structural measures (e.g., check dams and channel straightening) and non-structural approaches (e.g., early warning systems and land-use regulation). Overall, the research demonstrates the effectiveness of physically based modeling combined with field observations and a GIS analysis in understanding debris flow hazards and supports informed risk management and disaster preparedness in mountainous tourist regions. Full article

Amid global rural tourism growth and rural revitalization policies, traditional villages’ resource protection and tourism development have drawn international academic attention. To guide villages’ resource planning and management, this study constructed an evaluation index system of cultural, ecological, industrial, talent, and organizational amenities in traditional villages from the perspective of tourists’ perceptions using grounded theory and measured the spatial agglomeration differences, synergistic effects and their influencing factors of traditional village amenities by using location entropy, spatial autocorrelation, and gray correlation degree analysis. The results show that (1) the spatial distributions of cultural, ecological, industrial, and organizational amenities are more balanced, while talent amenities exhibit a more concentrated distribution. (2) The spatial concentration of amenities in traditional villages has a strong positive spatial correlation, the agglomeration level of the high-high type of concentration is distributed in clusters, the low–low type tends to be contiguous, and the low–high type is distributed sporadically around the high–high type; significant synergy between ecological and industrial amenities, and organizations play a supportive role in the spatial agglomeration of cultural, ecological, ecological and talent amenities. (3) Gross regional product, slope, and distance to 3A and above scenic spots significantly influence the spatial agglomeration of amenities. This study provides reference for the sustainable development of traditional villages from the perspectives of exerting agglomeration and radiation effects, synergistically promoting villages’ development, constructing the memory symbol system, and integrating the resource structural system based on the spatial agglomeration difference characteristics of traditional village amenities. Full article

In the post-pandemic era, tourism is recovering and historical and cultural scenic spots are highly favored but face serious homogenization and fierce competition. It is clear to both the industry and in academia that brand image building through social media is the key to relieving the situation; however, existing studies are mostly undertaken from the perspective of branding, often ignoring the use of brand equity theory in evaluating the brand image of such scenic spots. Based on the social media perspective, this study proposes and validates a set of brand image assessment frameworks for historical and cultural scenic spots centered on brand awareness, satisfaction, and reputation, which provides a scientific basis for scenic spot branding. The study constructs a multidimensional index system, utilizes the fuzzy optimal inferiority method and the TOPSIS hybrid evaluation model, and takes six historical and cultural scenic spots in Xi’an, China, as samples for quantitative and qualitative evaluation. By analyzing the rankings of these scenic spots, this study provides suggestions on how to publicize and shape brand images on social media platforms. These suggestions can enhance scenic spots’ competitiveness, leading to increased tourist flow, improved economic benefits, and enhanced cultural preservation efforts. This, in turn, contributes to the long-term, sustainable development of historical tourism destinations, addressing socio-economic and cultural challenges in a more targeted manner. Full article

The collaborative use of camera near-field sensors for monitoring the number and status of tourists is a crucial aspect of smart scenic spot management. This paper proposes a near-field perception technical system that achieves dynamic and accurate detection of tourist targets in mountainous scenic areas, addressing the challenges of real-time passive perception and safety management of tourists. The technical framework involves the following steps: Firstly, real-time video stream signals are collected from multiple cameras to create a distributed perception network. Then, the YOLOX network model is enhanced with the CBAM module and ASFF method to improve the dynamic recognition of preliminary tourist targets in complex scenes. Additionally, the BYTE target dynamic tracking algorithm is employed to address the issue of target occlusion in mountainous scenic areas, thereby enhancing the accuracy of model detection. Finally, the video target monocular spatial positioning algorithm is utilized to determine the actual geographic location of tourists based on the image coordinates. The algorithm was deployed in the Tianmeng Scenic Area of Yimeng Mountain in Shandong Province, and the results demonstrate that this technical system effectively assists in accurately perceiving and spatially positioning tourists in mountainous scenic spots. The system demonstrates an overall accuracy in tourist perception of over 90%, with spatial positioning errors less than 1.0 m and a root mean square error (RMSE) of less than 1.14. This provides auxiliary technical support and effective data support for passive real-time dynamic precise perception and safety management of regional tourist targets in mountainous scenic areas with no/weak satellite navigation signals. Full article

Urban public recreation space (UPRS) is an integral part of the urban public space system. With the rise of urban tourism, these areas have evolved into important spaces for leisure and entertainment, serving both residents and tourists. However, the extent to which these spaces are shared by the two groups remains unclear. This study quantified the level of UPRS equally shared by residents and tourists in Wuhan, China, using geotagged check-in data from 74 UPRS. We evaluated and compared the resident–tourist sharing degree across various types of UPRS and explored its influencing factors using multiple linear regression (MLR). The results indicated the following: (1) The sharing degree was at a moderate level and it varied significantly across different types of UPRS. (2) Characteristic streets had the highest sharing degree, followed by cultural spaces, urban parks, and tourist scenic spots. (3) The number of nearby tourist attractions, road density, and number of transport stops positively affected sharing degree. These findings suggest that the combination layout of UPRS with other tourist attractions and enhanced accessibility can effectively improve the shared usage of UPRS. Full article

This study investigates the elements that influence the quality of cultural and tourism services in the Huizhou region, seeking to improve the region’s tourism competitiveness and revive the growth of the local rural tourism industry based on the background of cultural and tourism integration. This article builds an evaluation index system for the influencing variables of culture and tourism service quality by choosing 20 indicators from three categories: public service quality, cultural service quality, and tourism industry performance. The entropy weight Topsis method is employed to assess the service quality of three districts and five counties in the Huizhou area, which serves as the research object. Research has shown that (1) the number of five-star hotels, the number of A-level scenic spots, and the number of overseas tourists received have a significant weight, and these have become important factors affecting the effective supply of high-quality rural tourism; (2) there is a significant difference in the quality of cultural and tourism services in different areas across the Huizhou region, with Tunxi District and Yi County having the highest level of service quality, while Qimen County and Jixi County have the lowest level; (3) The overall quality of cultural and tourism services in Huizhou region is relatively high, with six districts and counties rated medium or above, accounting for about 75% of the total. Therefore, it is necessary to improve the infrastructure construction, improve the quality of public services, maintain the local and regional culture, accelerate the integration of culture and tourism, and enhance the high-quality development of regional tourism in Huizhou. Full article

Rural tourism is a vital component of rural development in countries like Indonesia, leveraging the natural beauty, scenic landscapes, cultural heritage, and unique rural lifestyle to drive progress. Water-based tourism, which makes use of reservoirs, is a prevalent form of rural tourism in Indonesia, with one notable example being the Kedung Ombo reservoir area. Despite the potential advantages it offers, rural tourism in Kedung Ombo encounters challenges stemming from the intricate interactions of nature, stakeholders, and uncertainties related to decision-making factors. This study seeks to conduct a strength analysis and explore scenarios or combinations of scenarios that are best suited for the sustainable management of water-based tourism in a participatory manner. It aims to investigate the relationships between various components of tourism management, external and internal conditions, and the complex dynamics between human systems and the environment. Recognizing the importance of embracing uncertainty in managing tourist villages, the study utilizes Bayesian network analysis as an appropriate analytical tool to achieve its research objectives. The research highlights that the sustainability of rural water-based tourism in Kedung Ombo hinges on factors such as financial incentives, stakeholder engagement, business scalability, accesibility, and environmental considerations related to the reservoir. Full article

This study is a feature perception study of traditional village landscapes, refines the research method of traditional village landscape features using tourists online comment data, combs the landscape perception features of Xijiang Thousand Households Miao Village from tourists perspectives, digs out the managers’ problems in landscape planning, protection, utilisation, and puts forward the corresponding improvement strategies. In this paper, the Octopus data collector was used to collect online evaluation data from nine target platforms, and ROST CM6 was used to analyse the data for word frequency analysis, semantic network analysis, and sentiment analysis. Finally, using Nvivo12, the data was coded and a multidimensional model of landscape perception was constructed: natural landscapes, cultural and social landscapes, perceived landscapes, seasonal landscapes, and services and infrastructures. The results show that in the landscape perception model, the cultural and social landscape modules are the core factors affecting tourists’ psychological perceptions, with most tourists holding positive emotions towards the scenic spots and a few negative emotions mainly focusing on the relatively weak natural landscape, the unsatisfactory road system and charging system, and the over-commercialised development. In response to these problems, this study proposes corresponding planning recommendations. The results of the study reflect the trend of deep integration of culture and tourism in traditional villages in China, respond to the policy guidance of China’s rural revitalisation policy, and provide useful references and insights for the landscape construction and development of the Xijiang Thousand Households Miao Village and even similar tourist-oriented traditional villages. Full article

The tourism market for traditional villages in China is expanding, with the Huizhou region being particularly prominent. Traditional villages offer rich tourism resources. To ensure sustainable tourism development in the Huizhou region, this text explores the issues of tourism responsiveness and the sustainability impacts on the human environment in the development of traditional villages. The entropy weight-TOPSIS method is used to analyze the evaluation index system of the tourism response in Huizhou. Based on the three criteria of village resource endowment conditions, local economic development environment, and regional tourism development environment, a set of twenty indicators has been selected to establish an evaluation system for the tourism responsiveness of traditional villages in Huizhou. Feasible suggestions have been proposed to address the existing problems and the results of the data analysis in order to further improve tourism responsiveness. This study offers fundamental research for the sustainable development of traditional villages in Huizhou and the enhancement of tourism services in these areas. The results of this study show the following. (1) The highest weighting coefficient of the guideline layer of the garden green area affects the development of village tourism. (2) The high density of cultural heritage in traditional villages is conducive to the improvement of the service level and quality of the traditional village tourism, which will make the traditional villages more culturally connotative. (3) By studying the proportion of the tertiary industry in the GDP of the Huizhou region and its trend of change, it is possible to assess and study whether the tertiary industry’s development is in line with the law of industrial structure evolution. This also helps us to optimize and adjust the important impact of the tourism industry structure in the Huizhou area. (4) The tourism reception can be based on the data concerning passenger flow and scenic spots to plan the number of tourists and excursion routes, as well as optimize the service facilities, in order to alleviate the overcrowding situation, improve the experience of the tourists and satisfy the needs of the tourists. Full article

The COVID-19 pandemic has spurred the resurgence of the informal street vending economy. This revival has boosted the market economy but has also challenged urban governance. Recognizing street vending deregulation as both a stimulus for employment and a potential challenge to hygiene and safety, this study evaluates the suitability of street vending within Wuchang District of Wuhan, China. The methodology unfolds in four steps: constructing an indicator system based on a policy and literature review, a spatial quantitative analysis via GIS, weight allocation through expert consultation and entropy methods, and the identification of suitable areas as well as strategies. Findings reveal suitability clusters centered around key urban nodes, extending across central and mid-western zones through corridors like Zhongnan Road, demonstrating the potential for centralized management and economic permeation into surrounding areas. The analysis of land-use compatibility showed that commercial, park, and residential lands offer the highest suitability for vending activities, proposing management strategies tailored to enhance business in commercial areas, flexible configurations in residential zones, diverse development in parks, quality-oriented development in public squares, and strict control in scenic and tourist facilities. This study not only deepens our understanding of the geographical distribution of and factors influencing street vending, but also proposes integrated management strategies for vending in urban public spaces, fostering vibrant, inclusive, and sustainable urban environments. Full article

Tourism destinations are cultural heritage and spatial landscape systems of organic coexistence between humans and the Earth, and are formed through the long historical evolution of a specific geographical environment. With the development of large-scale cultural and tourism projects and the construction of scenic areas, many tourist destinations face conflicts between people and the environment and the crisis of discontinuity in the landscape and the cultural context. The concept of tourist destination personality provides a perspective for studying the interaction between humans and the environment in tourist destinations. However, existing research has not delved into the mechanisms of temporal–spatial interaction and spatial representation of regional cultural heritage in regional systems. Therefore, from the perspectives of geography and urban–rural planning, this study selects traditional villages in ancient Huizhou as the research object and employs relevant theories from cultural ecology to construct a paradigm for analyzing the formation path of tourist destination personality based on a cultural core from a regional systemic perspective. Building on this, this study develops a coupling analysis framework for the “accumulation anchoring” of heritage landscape representation in traditional villages in ancient Huizhou based on a cognitive understanding of tourist destination heritage landscape and a ‘time–space’ interactive model. The research reveals that the formation of personality in traditional villages in ancient Huizhou centers around cultural cores such as production methods, social organizations, construction mechanisms, and social beliefs. It is driven by basic forces such as resource endowment vitality, a social structure driving force, and a historical choice regulatory force, with the logic of forming dominant functions and obtaining expected benefits such as the core. The spatial representation of traditional village heritage in ancient Huizhou exhibits a synergistic evolution mechanism between ‘culture and landscape’. The research process and conclusions provide a basic framework and methodological system for the study of tourist destination personality and heritage revitalization, expanding the understanding of the process of human–environment interaction and spatial patterns in tourist destinations. Full article

Visual evaluation of the landscape is an important way to judge landscape quality. In this study, by optimizing the vertical angle and relative slope parameters of a visibility analysis algorithm, we intuitively and quantitatively display visibility grid data on the landscape based on tourists’ viewpoints and realize the transformation from making calculations only for the visible area to quantitatively evaluating the quality of visually experiencing the landscape considering parallax. We consider a variety of landscape visual influence factors (visible area, landscape water system distribution, number of landscape resources) to construct an index system for evaluating landscape visual effects. Finally, a set of improved landscape visual evaluation methods is proposed by integrating the analytic hierarchy process (AHP) and an optimization algorithm into the visibility analysis. Validation of the case study of the ancient town Fenghuang shows that these methods can effectively distinguish good and bad landscape viewpoints in a scenic area and support planning and design decisions on the related spatial layout and viewing platform. This study provides a new perspective for developing a quantitative, intelligent digital landscape analysis system. Full article

In the post-pandemic era, there has been a noticeable increase in tourism demand in China, and the comprehensive driving role of tourism in the national economy and social development has become more pronounced. Tourism public service providers, which are led by the government, urgently need to consider methods for enhancing the efficacy of public services in tourism to meet tourist demands, methods for further attracting more visitors, and methods for achieving sustainable and high-quality development in the tourism industry. However, despite the continuous enrichment and enhancement of the content and quality of tourism public services by Chinese government departments, the current research on government-provided tourism public services in underdeveloped areas is still relatively scarce in terms of tourists’ cognitive evaluations. Therefore, this study focuses on five 5A-rated scenic areas in Xinjiang, where 1122 valid questionnaires were distributed. In using exploratory factor analysis and confirmatory factor analysis, we established an evaluation system for Xinjiang’s tourism public services. Paired sample t-tests and importance–performance analyses (IPA) were employed to assess the importance and satisfaction of the aforementioned indicators. The results showed the following: (1) The tourism public service quality scale comprised 47 measurement items across four dimensions and exhibited high reliability, convergent validity, and discriminant validity. (2) The average satisfaction score across the 47 indicators was 3.90, thus indicating a favorable assessment of Xinjiang’s tourism public services by visitors. In addition, the highest satisfaction noted was in well-established safety assurance mechanisms (4.46), and the lowest was recorded in facial recognition entry systems (3.35). (3) The IPA results suggest that aspects such as comprehensive traffic guidance signage, affordability of transportation, and convenience of access are factors that require maintenance. Clear safety guidelines and warning systems, truthful promotion, and emphasis on protecting tourist rights are in the potential advantage area. The promotion of paid leave policies requires moderate attention, while intelligent parking lots, electronic all-in-one cards for scenic areas, and one-click rescue indicators necessitate improvement. These research findings have significant practical implications for the construction of public services in Xinjiang’s tourism. Full article

Qinglong Gorge Scenic Area (QGSA) boasts stunning natural landscapes, characterized by towering peaks and extensive cliffs. Nevertheless, the intricate geological backdrop and distinctive topographical conditions of this area give rise to various geological disasters, posing a substantial safety concern for tourists and presenting ongoing operational and safety management challenges for the scenic area. In light of these challenges, this study placed its focus on the geological disasters within QGSA and sought to assess risks across various scales. The assessment was accomplished through a combination of methods, including field surveys conducted in 2022, remote sensing interpretation, and comprehensive data collection and organization. For the geological disaster risk assessment of the scenic area, this research selected seven key indicators, encompassing terrain factors, geological elements, structural characteristics, and other relevant factors. The assessment utilized a logistic regression model, which yielded satisfactory results with an AUC value of 0.8338. Furthermore, a model was constructed incorporating seven indicators, encompassing factors such as population vulnerability, material susceptibility, and the vulnerability of tourism resources. To assess vulnerability to geological disasters, the Analytic Hierarchy Process (AHP) was employed, resulting in a CR of 0, thus ensuring the reliability of the findings. The outcomes of the risk assessment indicate that the low-risk area covers a substantial expanse of 5.45 km², representing 53.66% of the total area. The moderate-risk area extends over 3.59 km², constituting 35.43%, while the high-risk area encompasses 0.72 km², accounting for 7.14%. Additionally, the very high-risk area encompasses 0.38 km², making up 3.77% of the total area. Consequently, building upon the findings of the risk assessment, this paper introduces a risk classification and control prevention system. This system provides invaluable insights for disaster prevention and control in mountainous and canyon-type scenic areas. Full article