Scenic Area Research Articles

An Analysis of Aesthetic Perception of Karst Landscapes Based on Social Media UGC Data: A Case Study of Huangguoshu Scenic Area

An Analysis of Aesthetic Perception of Karst Landscapes Based on Social Media UGC Data: A Case Study of Huangguoshu Scenic Area

Tourism Experience and Tourist Satisfaction Impacted on Revisit Intention: A Case Study of Tongling Grand Canyon Scenic Area, Jingxi City, China

Tourism Experience and Tourist Satisfaction Impacted on Revisit Intention: A Case Study of Tongling Grand Canyon Scenic Area, Jingxi City, China

Research on Tourism Development of Tianlong Tunbao Scenic Area in Anshun Based on Online Text Analysis

Research on Tourism Development of Tianlong Tunbao Scenic Area in Anshun Based on Online Text Analysis

基于携程网游客评论的宿迁市三台山风景区旅游目的地形象感知研究

基于携程网游客评论的宿迁市三台山风景区旅游目的地形象感知研究

Data-driven innovation and implementation effectiveness of tourism marketing strategies in the digital era

Abstract Tourism marketing strategy is the top priority for all tourist attractions and tourism-related enterprises, and how innovative tourism marketing strategy in the digital era has become the key to improving the competitiveness of attractions and enterprises. This paper uses data mining technology as a basis to study feasible solutions for innovative tourism marketing strategies for scenic spots and enterprises under data-driven. A formalized label representation is used to construct an extended user portrait conceptual model by clustering the tourists’ contextual information using K-means. Tourism marketing targets users based on similarity calculation results, and association rules are used to mine the alignment association rules between tourists’ contextual features and attractions. Combined with the big data framework system Hadoop technology, we have built a tourism marketing platform that is used to analyze the tourism preferences of different tourists and formulate effective tourism marketing strategies. This paper, based on the data-driven tourism marketing strategy, can significantly improve scenic spot traffic. After marketing the Biluo Tower scenic spot in October, the average value of the traffic is up to 20,384 people, compared with the pre-marketing increase of 56.71%. At the same time, the marketing strategy significantly improves the satisfaction of tourists, and after the implementation of the marketing strategy, the satisfaction of tourists in the scenic area generally improves to more than 0.975.

Design of a Prairie Garbage Collection Robot Based on Unmanned Aerial Vehicles

In response to the increasing concern over environmental protection, particularly with regards to garbage pollution and degradation in prairie scenic areas, a solution is proposed involving a multi-rotor unmanned aerial vehicle (UAV) platform equipped with a mechanical arm for efficient prairie garbage collection. The potential applications of UAV technology incorporating a mechanical arm are discussed. The design of the mechanical apparatus is elaborated, encompassing components such as the UAV's mechanical arm, body frame, and telescopic pole. Consideration factors for the UAV frame are addressed to ensure design balance and stability. By integrating image transmission devices, visual recognition, and control systems, an automated process is achieved for identifying garbage locations, flying to the garbage position, grasping the waste, and successfully depositing it into the collection unit. Research findings demonstrate that the UAV equipped with a mechanical arm offers a proficient solution for garbage retrieval in prairie terrain, mitigating risks and costs associated with cleaning efforts.

RETRACTED ARTICLE: GIS positioning based on optical sensing detection and simulation of tourism route planning in rural tourism scenic areas

RETRACTED ARTICLE: GIS positioning based on optical sensing detection and simulation of tourism route planning in rural tourism scenic areas

Design of cultural and creative experience products in scenic spots based on CORE model

Abstract Under the background of “cultural and tourism integration”, scenic cultural and creative experience products are an important means to enhance the communication power of scenic spots and generate income. In this paper, the CORE model is used as the design concept, and the CORE design process for scenic cultural and creative products is constructed. The plain Bayesian classification algorithm is used to extract review feedback from the product, and the vectorization of the extracted reviews is achieved using the FastText model. The vectorized reviews are input into the logistic regression classification model to obtain sentiment classification results. A fused sentiment feature vector is constructed by combining Apirior and a sentiment dictionary aimed at separating sentiment vector classification. Finally, the experience effect of cultural and creative products is explored as an example of X scenic spot, and the optimization strategy of product design is explored. The attribute feature of X Scenic Spot’s cultural and creative experience product, “color” embraces four emotional attributes, and the corresponding adaptations are 4.77, 5.42, 5.40, and 5.38, respectively. The SDs of the emotional attributes of the existing product are The SDs of the emotional attributes of the existing products are 1.141, 1.025, and 0.184, respectively, and the differences between the product descriptions and the users’ opinions on the perceptual attributes are large, which provides the evaluation correlation in the CORE model. Under the guidance of the CORE model, four aspects of cultural and creative marketing, scenic area IP, consumer needs and product experience dimensions are proposed.

Research on the Current Situation and Standardization of Japanese Translation in Langzhong Ancient City Scenic Area

Langzhong Ancient City is one of the four ancient cities in China, with multiple honors such as being a national historical and cultural city and an excellent tourist city in China. At the same time, the Langzhong Municipal Government also closely adheres to the goal of "high-quality construction of world ancient city tourism destinations" and unwaveringly adheres to the development strategy of "strengthening the city through industry and revitalizing the city through culture and tourism". However, there are many problems in the Japanese translation and promotion of the Langzhong Ancient City scenic area, which will greatly restrict the healthy development of the tourism industry in Langzhong City. Therefore, this article focuses on studying the current situation of Japanese translation in the scenic area of Langzhong Ancient City, including both the Japanese translation gaps in the scenic area and the mistranslation and omission in the scenic area. Based on this, targeted normative measures are proposed for the Japanese translation gaps and Chinese literal translation in the scenic area of Langzhong Ancient City.

Big data intelligent tourism management platform design based on abnormal behavior identification

To ensure the safe and stable operation of tourist attractions, a big data intelligent tourism management platform based on abnormal behavior identification is proposed. A scenic area abnormal behavior recognition system is constructed by combining a climbing and painting behavior recognition method based on a regional convolutional 3D network model, as well as a trajectory analysis method based on object detection and tracking. Experimental data show that compared to the Two Stream model, the accuracy and recall of the 3D network model based on regional convolution are improved by 41.18 % and 34.85 %, respectively. The average accuracy of the proposed trajectory analysis method is 93.71 %. Compared with the track analysis method based on Hidden Markov model and the method based on sparse optical flow tracking, the accuracy of the proposed method is improved by 3.43 % and 1.71 %, respectively. In the real-time multi person abnormal behavior recognition system for tourist attractions, the number of frames per second for each behavior analysis is greater than 40. The results indicate that the proposed big data smart tourism management platform and related methods have effectively achieved abnormal behavior recognition in tourist attractions, improved accuracy and recall rates, and met the requirements of real-time multi person abnormal behavior recognition.

Empowering Tourism: Shared Power Banks for Sustainable Tourism Development in North America

This paper explores the transformative role of shared power banks in North American tourism. As electronic devices become indispensable for travelers and sustainable tourism gains momentum, shared power banks emerge as a solution to address charging needs while fostering local economies and enriching visitor experiences. The study analyzes the economic and cultural impact of shared power banks. These devices not only generate revenue through rentals and advertising but also promote local products and cultural attractions, enhancing the overall tourist experience. A user behavior survey conducted by us highlights attitudes toward shared power banks. While adoption is growing, users appreciate the convenience and stress reduction they offer, despite concerns about cleanliness and security. Successful case studies from tourist destinations worldwide, like Hangzhou West Lake Scenic Area and Gallerian shopping mall in Sweden, demonstrate the positive effect of shared power banks on engagement and prolonged stays. The paper envisions the future of shared power banks, leveraging intelligent integration, digital services, mobile apps, and emerging tech to enhance user experiences and responsible travel behavior. Collaborative initiatives among authorities, enterprises, and service providers are vital for sustainable tourism progress. In summary, shared power banks present an innovative solution to bolster North American tourism by providing convenience, boosting local economies, and embracing sustainability. These devices are poised to reshape tourist destinations significantly.

Behaviours not set in stone: do residents still adopt pro-tourism behaviours when tourists behave in uncivilized ways?

ABSTRACT Residents’ pro-tourism behaviours are critical for the success of tourism destinations. However, there has been limited research on how tourists’ uncivilized behaviours influence pro-tourism behaviours. Drawing from the social exchange theory, affective events theory and conservation of resources theory, this paper presents a conceptual framework to examine the impact of tourists’ uncivilized behaviours on residents’ pro-tourism behaviours and its boundary conditions. The study was conducted considering two scenarios: Scenario 1 involved a sample of residents not dependent on tourism for livelihood, while Scenario 2 consisted of residents earning their living through tourism. Data were collected from Qingdao coastal scenic area in China, and the structural equation model was employed. Results varied between the two scenarios: For residents in Scenario 1, there was a significant negative effect of tourists’ uncivilized behaviours on residents’ pro-tourism behaviours. However, this impact was not significant in Scenario 2. This suggests that the influence of tourists’ uncivilized behaviours on residents’ pro-tourism behaviours depends on the residents’ economic reliance on tourism, and residents’ behaviours are not static. Regardless of their dependence on tourism for income, the mediating effects of negative affectivity and negative perceptions, and the moderating roles of emotional intelligence and organizational support were identified.

Creating a monetization-SolVES model to visualize the cultural ecosystem services for promoting landscape conservation

Cultural ecosystem services (CES) are often neglected due to their intangibility and subjectivity. The visualization of the monetary value of CES can clarify its spatial heterogeneity, which is conducive to enhancing people’s cognizance of the nature protection and the CES utilization. Currently, research on its spatial visualization often uses the SolVES model. This, however, indicates the spatial expression of the CES value index (non-monetary), not the monetary value. It is, therefore, of great significance to study the spatial visualization of the monetary value of CES. Using the Puzhehei Scenic Area (PSA), as a typical case of the natural and cultural landscape, we identified the primary types of CES through field investigation and interviews, and calculated their monetary value in 2019. Then, we used the SolVES model to spatially map each CES non-monetary value index, and innovatively applied the Monetization-SolVES model to realize the spatial visualization of the monetary value of CES. The results show that: (1) There are ten primary types of CES, including recreation, aesthetic, therapeutic, cultural heritage, biodiversity, social relations, intrinsic, sense of place, educational research, and future services. (2) In 2019, the total monetary value of CES in PSA was 13,483,458,700 CNY. (3) The high-value index regions of CES are primarily distributed along with the classic cruise ship projects or around the main scenic spots. (4) The Monetization-SolVES model can effectively express the spatial heterogeneity of the monetary value of CES. The highest monetary value of CES was 32,826.05 CNY/pixel (10 m × 10 m) in 2019. The monetary value of each CES type varied greatly. The monetary value of recreation was found to be the highest (273,821 CNY/pixel), and the educational research was the lowest (167.66 CNY/pixel). This can aid tourism planning and landscape conservation in PSA, and may provide references for CES research in other similar regions.

Influencing Factors of Tourist Willingness of Tourists in Meiling Scenic Area of Nanchang: Based on the Theory of Push and Pull

Since the outbreak of the new crown epidemic, peoples attention to public health events and physical and mental health has increased, and the changes in tourism consumers perception have made consumers more favored for green, healthy and ecologically sound tourism destinations, and forest tourism has gradually entered the publics vision. Forest tourism is based on forest resources and takes the beautiful ecological environment as the standard, and the tourism activities carried out in the forest area fully reflect the richness of forest scenery and the diversity of forest tourism functions. Chinas forest tourism started in the early 80s of the 20th century. In the past 40 years, along with the pace of Chinas reform and opening up, forest tourism has grown from scratch and from small to large, becoming a major undertaking to promote economic and social development and improve peoples livelihood. In recent years, Nanchang Meiling National Forest Park has developed rapidly, this paper chooses to collect 200 samples from the perspective of tourism consumers, through the distribution of questionnaires, and use the statistical software SPSS 26.0 for data analysis, so as to further analyze the psychological factors affecting tourism consumers willingness to forest tourism, which is conducive to better insight into peoples demand for green ecotourism under the background of the epidemic, so as to better propose specific development strategies for the development of forest tourism in Jiangxi Province.

Large-Scale Construction Waste Mountain-Mounding Technology Based on the Project in Meibei Lake Scenic Area

In the backdrop of China’s rapid economic growth and urbanization, the surge in construction waste poses mounting disposal challenges. This study primarily focuses on in-depth research and exploration of construction waste recycling technologies. By repurposing towering heaps of construction debris into artificial landscapes, it achieves resource reutilization and waste reduction, bearing profound significance for environmental protection, and resource utilization. Taking the Xi’an Meibei Lake Scenic Area construction waste embankment project as a case study, experiments on the physical properties of soil-construction waste mixtures were conducted. A three-dimensional computational model of the site was established, and typical cross-sections were selected for the slope stability calculations and analysis. This was coupled with on-site measurements to validate the practicality and effectiveness of the technology. The successful execution of the project has demonstrated the reliability of this technology, offering significant potential for widespread application and serving as a crucial reference for the similar projects.

Alienation and authenticity in intangible cultural heritage tourism

Intangible cultural heritage (ICH) has the potential to enhance tourism supply and activate tourism resources. This study constructs an alienation and host authenticity model to analyze the attitudes of ICH performers towards support for tourism. Specifically, it investigates the views of giant puppet show performers at the Mount E’mei Scenic Area in China, which is a nationally recognized and first-selected representative traditional drama project of ICH. By employing an asymmetric configuration modeling approach within qualitative comparative analysis, the study identifies six dimensions of ICH performers’ alienation (powerlessness, meaninglessness, normlessness, isolation, self-estrangement, and cultural alienation) and three aspects of their host authenticity (personal value, interpersonal value, and ICH value). Based on these findings, the study confirms the impact of ICH performers’ alienation, host authenticity, and demographic characteristics on their support for tourism. This understanding is crucial for the development, growth, and continuity of a tourist destination. Specifically, this study contributes to a new comprehension of the combined model of alienation and host authenticity, as well as the support for tourism by a host community as represented by ICH performers, thereby making a significant contribution to the understanding of the impact of ICH.

Preliminary Risk Assessment of Geological Disasters in Qinglong Gorge Scenic Area of Taihang Mountain with GIS Based on Analytic Hierarchy Process and Logistic Regression Model

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.

Evaluation of cultural ecosystem services in mountain-type scenic areas: an importance-performance analysis of the Road of Tang Poetry in Eastern Zhejiang, China

ABSTRACT The Road of Tang Poetry in Eastern Zhejiang is a cultural route where nature and culture harmoniously intertwine. Mountain-type scenic areas play a vital role in providing core cultural ecosystem services (CES). To investigate the significance and distribution of landscape resources along the Poetry Road, a preliminary study was conducted in the densely concentrated areas of Shaoxing, Taizhou, and Ningbo. From these regions, six representative mountain-type scenic areas were selected for the research: Kuaiji Mountain, Qinwang Mountain, Wanwei Mountain, Tianmu Mountain, Tiantai Mountain, and Xuedou Mountain. Based on their designation status, these areas were categorized into national and non-national scenic areas. The research employed a combination of online and offline questionnaires, as well as semi-structured interviews. An importance-performance analysis (IPA) was introduced, and SPSS software was utilized to conduct U-tests on the statistical results. This analysis aimed to compare the differences in importance and performance of CES among the various mountain-type scenic areas. Furthermore, an overall evaluation of CES for the mountain-type scenic area was carried out using an optimization demand zoning approach, involving categories such as “Keeping up the good job”, “Concentrate here”, “Possible overkill”, and “Low priority”. Additionally, a comparative analysis was conducted between the two types of mountain-type scenic areas, considering aspects like aesthetic value, leisure tourism, cultural diversity, and nature education. The findings indicate that the overall importance of the core CES provided by mountain-type scenic areas significantly exceeds the performance score, implying that public expectations for these sites surpass the actual experience. Notably, the distinction between the two types of mountain-type scenic areas, national and non-national, lies primarily in their performance. Among the evaluation subcomponents, respondents’ perceptions are notably influenced by natural resource advantages, architectural style, recreation offerings, site iconicity, and historical heritage and preservation. The abundance of cultural activities emerges as a crucial factor contributing to the substantial performance disparity between the two types of scenic areas, underscoring the significant impact of cultural heritage on the development imbalance in mountain-type region. Furthermore, cultural heritage plays a pivotal role in promoting the establishment and enhancing the competitiveness and identity of mountain-type scenic areas. Consequently, prioritizing the protection and utilization of non-national mountain-type scenic areas cultural heritage can effectively elevate the level of CES supply and meet the demand in mountain-type scenic areas. The IPA has promoted the CES performance of mountain-type scenic areas to be closer to its importance, thereby fostering a more balanced CES of the Road of Tang Poetry in Eastern Zhejiang.

The Current Situation and Measures of Enning Road Old City Renovation in Guangzhou City

Historic and cultural districts reflect the cultural memory of a specific historical period, but they are also the physical space where real people live and move around, and therefore their conservation is an important part of urban development. This study takes the old district renovation project of Enning Road in Guangzhou as an example, describes the current situation after the renovation, discusses the problems, refers to successful cases of renovation at home and abroad, and proposes renovation measures from the perspective of visitors sense of experience. From the end of the 19th century to the present day, a series of renovation policies have revitalised Enning Road, and the transformation has gradually changed from large-scale demolition and construction to micro-renewal of the city. The development of Enning Road, as a commercial centre with a local historical character, has revealed a lack of renovation for the experience of tourists in terms of travel and safety, as the number of tourists attracted has increased year by year. This paper proposes zoning and beautification of shop decoration, enhanced traffic safety planning in the scenic area and the development of special tourist routes under the conditions of tourist demand.

The Construction of Satisfaction Evaluation System of Urban Tourism Scenic Area Management Based on Multiple Data Fusion

Abstract In this paper, we apply FCM to data fusion and continuously iterate to create a data fusion model that achieves classification and fusion. The model has been improved to form the ARFCM data fusion model. Then, we select the evaluation indexes of urban tourism scenic spot management satisfaction and build the evaluation system of urban tourism scenic spot management satisfaction based on multiple data fusions. Finally, gender differences, age differences, importance, and other indicators of tourist satisfaction are selected to evaluate the management level of urban tourism scenic spots. The p-value of the t-test on staff service satisfaction is 0.008, the p-value of the t-test on scenic spot price satisfaction is 0.01, and the p-value of the t-test on scenic spot comprehensive service satisfaction is 0.03. This paper’s research provides strong support and a scientific basis for improving the management level of urban tourism scenic spots.