The Study on Tourist Destination Tourism Image Perception and Evaluation in Xi'an City

[Objective] The aim was to explore the tourist destination image measurement method, and have an empirical study on Xi＇an City. [Method] With combination of non-structural and structured approach to design questionnaires, tourism image of Xi＇an was explored using the SPSS software from both the qualitative and quantitative analyses. [Result] Xi＇an tourism images serve a heritage historical monuments atmosphere with the Terracotta Warriors, City Wall, Big Wild Goose Pagoda,Huaqing Hot Springs, presenting a positive feeling among tourists in general. In the dissemination of travel, tourism infrastructure construction, tourism transportation,travel services have negative effects on the image of Xi＇an tourism. [Conclusion]The evaluation on the tourism resources is highly spoken of by tourists than the scenic spot, indicating that despite high visibility of tourism resources in Xi＇an, it has not formed strong core competitiveness and a complete tourism industrial chain. It is necessary to take the right marketing strategies to enhance tourist familiarity to Xi＇an. Tourists demands, therefore, should be well considered in developing Xi＇an scenic spots and new tourism products and projects be focused on to improve tourists＇ satisfaction.

IPA Analysis of First-time Tourists＇ Perceptions on the Image of the Tourist Destination Take Hainan International Tourism Islands for Example

Nowadays, the image construction of Hainan International Tourism Islands has been vigorously promoted. The research is going to make an empirical analysis of Hainan tourism image, adopting IPA analysis method. Generally speaking, there is a big gap between the Hainan tourist destination and tourists＇ expectations. The Hainan Tourist Destination image is mainly built on natural-advantage-resource projects such as natural sceneries, air quality, and climate, etc., meanwhile, the relatively insufficient constructions of soft-wares such as tourism-related facilities, as well as the quality of tourism services, etc., are the focus of future efforts.

Investigating the tourism image of mountain scenic spots in China through the lens of tourist perception

A favorable tourism image of high-quality mountain scenic spots(HQMSS)is crucial for tourism prosperity and sustainability.This paper establishes a framework for investigating the tourism image based on cognitive-emotion theory and uses natural language processing(NLP)tools to clarify the cognition,emotion,and overall tourist image of the HQMSS in China from the perspective of tourist perception.This paper examines the multi-dimensional spatial differentiation of China's overall image,including province,scenic spot scales,as well as the spatial pattern of the overall comprehensive tourism image.Strategies for comprehensively improving HQMSS's tourism image are also formulated.The results show that:(1)The cognitive image of Chinese HQMSS is categorized into core and marginal images,and the core images such as scenery and cable car are the expression of the uniqueness of mountainous scenic spots.Additionally,the cognitive image is classified into six dimensions:tourism environment,tourism supporting facilities,tourism experience,tourism price,tourism service,and tourism safety.(2)Positive emotions are the dominant mood type of HQMSS in China,followed by neutral emotions,with negative emotions being the least frequent.Emotional images vary across dimensions,with tourism environment and tourism experience evoking relatively higher emotion.(3)The spatial pattern of HQMSS for each dimension at the national,provincial,and scenic scales is diversifying.This article provides a multidimensional perspective for investigating the tourism image of mountainous scenic spots,proposes targeted recommendations to improve the overall image of HQMSS in China,and can greatly contribute to the sustainable development of mountain tourism.

Image Perception and Emotional Evaluation of Tourists for Desert Tourism Destinations in Inner Mongolia——Content Analyses Based on Network Travel Notes

Recent years have witnessed the popularity of desert tourism as a fashion tourism product in the 21^(st) century along with the increasing demand for personalized tourism for tourists. The academic community is paying growing attention to desert tourism research, but there is little research on the perception of tourists about the image of desert tourism destinations in Inner Mongolia. With Inner Mongolia as the object of the study, this paper analyzed the image perception and evaluation of tourists for Inner Mongolia desert tourism destinations from three aspects of cognitive image perception, emotional image perception, and overall image perception according to the "cognitive-emotional" model, with the help of relevant network text analysis methods, and proposed some suggestions for the future development of desert tourism destinations in Inner Mongolia from the aspects of increasing desert humanities tourism resources and product development, improving scenic spot management ability, improving tourism service quality, improving tourism infrastructure construction and strengthening environmental protection. It is hoped that this paper can provide a reference for improving the image of Inner Mongolia desert tourism destinations and improving the tourist experience.

Image Perception and Emotional Evaluation of Zhuhai Coastal Tourism Destination Based on Network Big Data Analysis

By capturing the online evaluation data of tourists on Zhuhai coastal tourist attractions in the two domestic OTA platforms Ctrip and Mafengwo, word cloud and word frequency statistics and complex semantic network analysis are used to carry out the research of image perception and emotional evaluation. The results show that:① Zhuhai City is the main body of the composition of tourists' image perception of Zhuhai coastal tourism, showing the 3S(seafood, sand, scenery) coastal tourism image of Zhuhai characteristics, and the rapid development of Zhuhai City is an important driving force for the transformation of the city's image perception.② The single core and two wings is the hierarchical pattern of tourists' image perception of Zhuhai's coastal tourism, namely Zhuhai as the centre and sand and seafood as the two wings.③ After evaluating the emotions of tourists in Zhuhai's coastal area, it is found that overall the tourists' perceived image is relatively good, with a large proportion of positive emotions, but there are also some negative and neutral emotions.

Inheritance of Red Culture and Perception of Tourism Development in Yimeng under the Background of Cultural and Tourism Integration

Developing red tourism is an important way to carry forward revolutionary culture and practice socialist core values.In this paper,effective comments on tourism websites such as“Ctrip”and“Tongcheng Travel”were selected as data sources,and with the help of network text analysis,the image perception and emotion of tourists in Linyi red tourism were analyzed.Besides,new ways to develop and utilize red tourism in Linyi City were put forward,such as innovating red tourism experiential products,promoting industrial linkage and common development,improving red tourism service facilities,and focusing on network marketing models,so as to reshape the red tourism value chain and enhance the comprehensive social effect.

A big-data approach for investigating destination image gap in Sanya City: When will the online and the offline goes parted?

Tourism destination images in terms of the gaps between the projected and perceived images are of great significance in the development of destinations.Additionally,the use of big-data in tourism studies remains under-utilized despite the boom in big-data applications and the increasing number of electronic User Generated Contents(UGC).Aiming to take advantage of tourism UGC to fully understand the destination image gap between official promotion materials and tourist perception of Sanya City in China,this study innovatively employed a big-data analysis technique,Tourism Sentiment Evaluation(TSE)model and proposed a new analysis framework integrating the“cognitive-affective”model with the gpp analysis of projected and perceived destination image to explore the destination image gap of Sanya It is found that Sanya's perceptive destination image is overall consistent with its official positioning;however,there also exist image gaps between the two groups in terms of the impact of festival events and tourists'attitude towards core scenic spots amongst others.This study's findings are discussed in light of their methodological,theoretical,and practical implications for destination positioning,marketing,and management.

Factors Influencing Destination Image in Distant Culture Countries： The Role of Corporate Image

The present work aims to explain more deeply the theory of the image of tourist destination and its process of formation, specifically regarding the factors that influence the above-mentioned process. For this purpose, the knowledge of two fields of study, the image of the tourist destination and the corporate image, is combined in order to analyse their possible interdependent relationship. To explore the possible relations between both elements, a theoretical model has been developed and confirmed using a survey carried out on a sample of 307 Korean citizens. The results reveal that the degree of familiarity of the Spanish companies in South Korea can be considered to be a more influential factor in the image of Spain as a tourist destination. This fact might have important economic implications, since tourism is turning into a key driver of socio-economic progress.

Tourism Image Perception Research of Mount Tai Scenic Area: Text Analysis Based on Ctrip Tourist Comments

Tourism destination image research has always been a hot issue in tourism research, which is related to the development and sustainability of destination tourism. Mount Tai Scenic Area, a world double-heritage site is taken as the research object. By collecting comments about Mount Tai Scenic Area on Ctrip, and using content analysis, cognitive image, emotional image and overall image of Mount Tai Scenic Area are analyzed with the help of “cognitive-emotional” model. The results show that visitors' perception of the cognitive image of Mount Tai Scenic Area is multi-dimensional;tourists' perception of the emotional image of Mount Tai Scenic Area is positive;the tourists' perception of the overall image of Mount Tai Scenic Area shows a four-layer “core-edge” structure of “core-sub core-sub edge-edge”. On this basis, the paper puts forward some suggestions for improving the tourism development of Mount Tai Scenic Area.

Image-building of Tourist Destination based on TIS——With Old Ciqikou Town in Chongqing as a Study Case

This paper analyzed tourism resources in Ciqikou Town,summarized the town's tourism status by using questionnaire survey method.Tourism status of Ciqikou Town showed as follows:the narrow range of target market,the low consumption level with young or middle age base,lack of international promoting activities with low recognition,frequently returning of tourists with high reputation and lack of distinctive characteristics.Although having good resources,specific image-building of tourism was still lacked in the town.To promote sustained and rapid development of tourism in Ciqikou Town,based on TIS(Tourism Image System),the author gave suggestions to image-building of Ciqikou Town from the following 3 aspects:MIS(Mind Identity System),BIS(Behavior Identity System) and VIS(Visual Identity System).

A New Perspective of Rural Tourism and Leisure Agriculture Integration:An Empirical Analysis of Rural Tourism Satisfaction and Loyalty in Dalishu Village

Tourism has become the most dynamic and promising green industry in Dalishu Village.However,with the increase of the same type of tourist areas and the addition of other theme tourism destinations,the rural tourism of Dalishu Village is facing the problem of how to develop in homogenous competition and how to maintain stable development.This is also a problem that needs to be addressed seriously in the development of rural tourism.Starting from the image perception factors,this study chooses the interaction among image perception factors,satisfaction and loyalty as a perspective,in order to identify the important factors that play a key role in tourists'satisfaction and loyalty,and to provide a new driving force for the integrated development of rural tourism in Dalishu Village.

TDIVis:visual analysis of tourism destination images

The study of tourism destination images is of great significance in the tourism discipline.Tourism user-generated content(UGC),i.e.,the feedback on tourism websites,provides rich information for constructing a destination image.However,it is difficult for tourism researchers to obtain a relatively complete and intuitive destination image due to the unintuitive destination image display,the significant variance in departure time and data length,and the destination type in UGC.We propose TDIVis,a carefully designed visual analytics system,aimed at obtaining a relatively comprehensive destination image.Specifically,a keyword-based sentiment visualization method is proposed to associate the cognitive image with the emotional image,and by this method,both time evolution analysis and classification analysis are considered;a multi-attribute association double sequence visualization method is proposed to associate two different types of text sequences and provide a dynamic visual encoding interaction method for the multi-attribute characteristics of sequences.The effectiveness and usability of TDIVis are demonstrated through four cases and a user study.

MDIVis: Visual analytics of multiple destination images on tourism user generated content

Abundant tourism user-generated content(UGC)contains a wealth of cognitive and emotional in-formation,providing valuable data for building destination images that depict tourists’experiences and appraisal of the destinations during the tours.In particular,multiple destination images can assist tourism managers in exploring the commonalities and differences to investigate the elements of interest of tourists and improve the competitiveness of the destinations.However,existing methods usually focus on the image of a single destination,and they are not adequate to analyze and visualize UGC to extract valuable information and knowledge.Therefore,we discuss requirements with tourism experts and present MDIVis,a multi-level interactive visual analytics system that allows analysts to comprehend and analyze the cognitive themes and emotional experiences of multiple destination images for comparison.Specifically,we design a novel sentiment matrix view to summarize multiple destination images and improve two classic views to analyze the time-series pattern and compare the detailed information of images.Finally,we demonstrate the utility of MDIVis through three case studies with domain experts on real-world data,and the usability and effectiveness are confirmed through expert interviews.

Influencing Factors on Customers’ Decision to Visit Agritourism Farms: A Case Study in Viet Nam

The research analyzes the factors affecting the tourists’ decision to visit agricultural farms in Thai Nguyen province. Three hundred tourists from 10 agritourism farms were surveyed, and the results showed that there are five factors affecting the decision of tourists in order of importance, including: “Motivation to travel” has the greatest influence with the coefficient β = 0.290, followed by “Destination image” with the coefficient β = 0.288, the factor “Destination information” with the coefficient β = 0.247 and the group “Other motives” with the coefficient β = 0.229. The factor group, “Infrastructure of the destination”, has the lowest influence with the coefficient β = 0.166. Therefore, solutions to promote the development of agricultural tourism in Thai Nguyen need to pay attention and guide people to cultivate organically, preserve the environment and natural landscape, and create unique experiences for visitors. Authorities, local people, and travel agencies need to have seminars, develop specific agricultural tourism products, and apply information technology in advertising destination images to tourists.

Exploring Tourism Risk at Jaffna Peninsula with Special Reference to Keerimalai Ritual Beach Site in Sri Lanka

Ritual beach sites are considered as one of the major travel motives for the tourists to visit Sri Lanka.Jaffna is rich with wonderful ritual beach sites including Keerimalai and Villunri areas.Many local and foreign tourists arrive at these ritual beach sites every day.Ensuring safety of tourists in the tourist destinations is considered as one of the important factors which determine the revisit and for remaining the higher number of tourist arrivals.But,the studies about the risks for tourists at the destinations,especially in the ritual beach sites,were very rarely conducted by the researchers.Therefore,a study to explore the tourism risks at the ritual beach site was considered very important.Further,if the tourists feel that the particular destination is risky,the image of the destination shall be affected and also tourists may negatively convey the message to others.Therefore,the main objective of this study is to identify the factors influencing the tourism risk in Jaffna Keerimalai ritual sea site.This study also recommends overcoming destination risks to ensure propensity of the repeat visit and word of mouth communication.For this purpose,the study was carried out by using the mix research methodology.Both qualitative and quantitative methods were used to carry out the study.Furthermore,the Keerimalai ritual beach site was selected through the convenience sample technique.Primary data were collected through self-administered questionnaires and the observation techniques.The 5-point Likert scale method was used to analyze the data through SPSS Version 20.This study revealed that Keerimalai ritual sea site has risk for tourists and this may affect revisit and word of positive recommendation.Alcohol addiction,theft activity,violations,rocks under the sea water,safety and security signs and polluted water are harmful to the tourist.In spite of all these risks,there are many tourists who still visit Keerimalai ritual area to accomplish their cultural rituals.

基于网络文本分析的文化遗产生态环境游客感知及其对遗产旅游形象影响研究——以南京明城墙为例

为深入了解游客生态环境感知对文化遗产地旅游形象的影响,以南京城墙为考察样本,基于内容分析法,采用2018—2022年的网络数据,分别利用词频分析、语义网络分析和情感分析进行评价和预测。研究表明:网络文本能较为客观地获取生态环境对文化遗产形象的影响程度,从而更全面地了解城市文化遗产形象形成的内在机制;游客对南京城墙文化遗产环境感知以正面情绪为主,在游客的情绪感知中生态环境影响着游客的整体形象感知;作为生态环境要素,水环境和植物景观对文化遗产形象的影响尤为显著;游客对其遗产形象的感知同时体现在历史文化价值和生态环境价值上,成熟的文化遗产型旅游目的地必须重视生态环境和自然景观保护与塑造;改善与提升城市文化遗产形象,需要同时满足游客的文化需求和生态需求,实现旅游开发与遗产保护的良性互动。因此,管理者和经营者应从改善文化遗产景区绿化景观,做好水体保护,控制污染气体排放,做好垃圾分类管理,改善景区整洁环境。

基于网络文本的河北省滨海旅游地吸引力比较分析

在竞争的环境下旅游吸引力对目的地发展具有重要意义。文章从马蜂窝、同程旅游、携程网采集网络游记文本数据,采用文本挖掘和综合指数模型对河北省滨海旅游目的地形象感知和旅游吸引力进行分析。结果显示,(1)在目的地感知方面,秦皇岛以自然资源和滨海度假活动为核心形象,唐山以自然资源和历史文化为核心形象,沧州以武术和杂技文化为核心形象;游客对三市的情感态度均以正面情绪为主。(2)旅游吸引物以资源型为主,自然和人文旅游资源吸引力较强,而设施与服务、旅游活动体验性吸引力较弱。(3)旅游吸引力空间差异显著,秦皇岛目的地吸引力最高,唐山次之,沧州最低。

基于内容分析法的福建红色旅游形象感知研究

游客文化感知和旅游目的地形象的研究为红色景区形象塑造提供学理基础。以福建省5个代表性红色景区为调查对象,从几大在线旅游服务平台上获得网络游记和在线评论等网络文本,进行数据爬取,并利用ROST Content Mining软件做文本内容的挖掘与分析。经高频词分析,可得红色文化氛围、物质文化、革命故事、文化景观和服务体验等5个游客文化感知维度;经语义网络分析和情感分析,可知游客的旅游预期和情感反应主要来自景区的独特文化蕴涵,因此应以游客需求为导向和突出“升华维度”核心来塑造福建红色景区形象。

城市图书馆新馆空间感知与评价——以“文旅打卡”为视角的混合研究

中国城市图书馆发展重心正经历着从资源服务到空间场景营建的变化。社会公众对作为文旅打卡地的新馆空间感知评价及其形象生成,拓展了以用户为中心的图书馆绩效与成效集合评价体系。以上海图书馆东馆为例,混合运用词频分析法识别新馆空间实体形象和附生形象,挖掘新馆空间形象体现维度,采用情感分析法分析用户情感倾向以及用户视角的新馆空间建设成效,并使用扎根理论挖掘用户旅游在线评论文本,构建用户视角的城市图书馆新馆空间形象感知模型。研究发现,城市图书馆作为重要的文化和旅游目的地,新馆用户认同水平仍有提升空间,其社会形象仍待建构完善且新馆用户感知仍需不断强化,需要增进新馆建筑的整体设计、凸显新馆场所的价值导向、激发新馆空间的体验氛围和提升新馆场景的文化内涵。

基于网络文本分析的青海湖景区旅游形象感知研究

随着大数据时代的到来,网络点评文本会影响游客对旅游景区的感知形象,搜集了“携程”“美团点评”“去哪儿”“同程旅行”等旅游网站的游客点评文本,运用ROST CM6.0网络文本挖掘工具进行分词和词频统计对青海湖景区旅游形象感知高频词进行了语义网络分析及情感分析。结果表明:在认知形象上,青海湖景区自然景观吸引物成为游客主要认知;游客对青海湖良好的生态环境方面的关注度较高;在整体形象上,游客对青海湖景区正面情绪占比较高,但也存在对服务设施和管理等方面存在一部分中性情绪和负面情绪。根据研究结论提出以下建议:一是提高青海湖景区文旅融合程度,打造文化青海湖;二是提升景区管理服务质量,全方位、多层次的满足游客需求;三是创造多元旅游产品,满足游客的多样化消费需求,提高游客二次消费的能力。