Internet Tourism Research Articles

Spatio-temporal variation and influencing factors of aero-sports tourism internet attention in Shaanxi Province, China

Despite China's building into a leading sporting nation and sport-tourism integration high-quality development strategy in the 20th National Congress of the Communist Party of China, existing tourism studies seldom concern sport-tourism integration, especially their spatial hot spots and evolutional trend based on geospatial big data. This study aims to probe into the spatiality and the underlying mechanism of sport tourism through internet attention data in 2015, 2018, and 2021 by social network analysis, with a specific focus on aero-sports tourism. Shaanxi Province is chosen as the study site given its advantages of rich aero-sports tourism resources and various aero-sports modes (e.g., sky diving, paragliding, etc.). The results are concluded: (1) At the provincial scale, the aero-sports tourism internet attention shows a pattern of “strong in the middle and weak in the north and south”. (2) At the regional scale, the sub-group clusters within the three specific regions (Shanbei, Guanzhong, and Shannan) of Shaanxi Province turn to be inter-regional clusters. Guanzhong region, especially with Xi'an as the core, is dominant in connecting its peripheral area. Since 2016, the radiation effects of the Guanzhong Region have shown a homogeneous trend of yearly growth and effect strengthening, yet become loosely connected with a heterogeneous trend in 2021 due to the COVID-19 epidemic. (3) At the city scale, the core area of aero-sports tourism internet attention expanded from Xi'an and Xianyang to Yulin and Baoji from 2015 to 2021, resulting from urban economic strength and aviation flight camp club development. (4) The number of general aviation manufacturers, tourist attendance, and tourism revenue significantly affect aero-sports tourism internet attention.

The Spatiotemporal Pattern Evolution and Driving Force of Tourism Information Flow in the Chengdu–Chongqing City Cluster

In recent years, the tourism industry has developed rapidly. However, traditional tourism information has the disadvantages of slow response speed and limited information content, which cannot reflect the evolution trend of spatial and temporal patterns of tourism information in time. Here, based on the Baidu Index, we construct an evaluation framework to analyse the spatial and temporal flow of tourism information in the Chengdu–Chongqing urban cluster from 2011 to 2021. Then, we analyse the urban links between different network levels from the evolution pattern. Finally, we use the geodetector model to analyse its driving mechanism. The results show that Chengdu and Chongqing are the most active cities in the study area in terms of tourism information. The unbalanced development of tourism information between Chengdu and Chongqing and other cities in the region gradually deepens during the period 2011–2019 (polarization effect), but the unbalanced development moderates after 2019. On the other hand, cities in the middle of the Chengdu–Chongqing cluster always have weak agglomeration effects of tourism information. Cities with high tourism information outflow rates in the Chengdu–Chongqing city cluster are mainly concentrated around Chengdu. The average outflow rate of Deyang is the highest, at 27.8%. Cities with low tourist information outflow rates are primarily located in the west, central and south. Ya’an is the city with the lowest outflow rate, with an average of −62.2%. Specifically, Chengdu is the dominant and most radiantly influential city. The tourism information of the Chengdu–Chongqing urban cluster shows a radial network with Chengdu and Chongqing as the core. The driving force analysis shows that the push factor of tourist source, such as the number of people buying pension insurance, is the core driving mechanism, while the pull factor of destination, such as the park green area, and resistance factors such as psychological distance, are in the secondary position. In general, this paper uses Internet tourism data to expand the traditional tourism information research of the Chengdu–Chongqing urban cluster, which can better respond to the changes and needs of the tourism market and provide reference for the spatial optimization of tourism destinations.

Information system project for startup of supporting internet tourism in Ukrainian territory

oday, the issue of tourism, travel, research of the city or its history remains quite relevant. Awareness of one’s identity, learning the history of one’s people are important aspects of life, or learning the culture of other peoples. Although the Covid-19 pandemic and the war have put this issue on the back burner, it adds new challenges to it. On the one hand, interest in research and learning something new is enhanced by isolation, both internal - limiting people’s personal contacts, and external – closed borders and a limited flow of tourists. On the other hand, it creates new requirements for providing and using tourism as a product. But these are only additional time factors. The essence of tourism, travel and research is not going anywhere. The goal of the project: to create a new information system that will help in the formation of the tourism product of small towns.

Characterizing Spatial-Temporal Variation of Cultural Tourism Internet Attention in Western Triangle Economic Zone, China

More and more tourists tend to seek cultural enjoyment while taking trips based on their satisfied socio-economic needs. The spatiality of cultural tourism determines the feasibility and convenience of the access to cultural tourism resources. Given that spatial research on cultural tourism rarely involves the underdeveloped regions in China, especially via Baidu Index data, this study aims to explore the dynamic spatial pattern of cultural tourism Internet attention based on Baidu Index through social network analysis (i.e., network density, centrality analysis, core–periphery model, etc.) in the Western Triangle Economic Zone (WTEZ), China. Research findings are as follows. (1) Temporally, the centrality is increasingly enhanced in terms of the core cities with high cultural tourism Internet attention, as well as their radiation effect. (2) Spatially, the distribution pattern of cultural tourism Internet attention is shifting from polarization to equilibrium. However, the overall network density still presents a mode of loose connection and fails to extend from the core triangle structure in the planar dimension. (3) The cultural tourism Internet attention in WTEZ presents an obvious core–periphery pattern. Xi’an–Chengdu–Chongqing is in a dominant position, and the core area spreads from south to north. (4) The spatial-temporal pattern of cultural tourism Internet attention in WTEZ is influenced by transportation, reception facilities, consumption ability, and political environment, and the main driving factors are the number of hotels, per capita income, total highway mileage, and cultural tourism policy indicators. This study is conducive to sustainable spatial planning of cultural tourism through smart data governance.

Countermeasures for the Development of Data Integration of the Internet Ice and Snow Tourism Industry under the Background of Artificial Intelligence.

Under the background of “Internet + Ice and Snow Tourism,” the tourism industry has ushered in new development opportunities and external challenges. “Internet + tourism” breeds a new huge tourism market. This new market consists of netizens + purchasing power + purchasing desire. This paper mainly selects the integration of mobile ice and snow tourism and tourism and leisure industry as the main research subject, focusing on the in-depth study of the future development trend of the integration of ice and snow tourism and leisure industry and the mobile Internet industry. The analysis found that the tourism industry in the ice and snow area mainly has the following problems: the division of functional areas is not clear, there is a large gap between service innovation capabilities and industrial demand, and the level of industrial informatization is inconsistent with development goals and the lack of market service credit. On the basis of combining tourism Internet service platform and big data marketing experience, creatively propose to create a new development pattern of “one network, three places and one platform” for ice and snow tourism, promote the “Three New Coverage Projects” of the tourism network, and build a new cross-business cooperation mechanism of “Internet + Tourism”; rely on Internet marketing and publicity measures to enhance the development of tourism service integrity and other countermeasures; use Internet thinking to solve the problems of tourism industry development; and provide suggestions for the innovative development of the tourism industry in the ice and snow regions and the entire autonomous region. The implementation of these countermeasures predicts that the local economy will increase by at least 51.28%, so the development of the “Internet + ice and snow tourism” type industry in combination with the actual situation is not waiting.

A Method of Supplementing Reviews to Less-Known Tourist Spots Using Geotagged Tweets

When planning a travel or an adventure, sightseers increasingly rely on opinions posted on the Internet tourism related websites, such as TripAdvisor, Booking.com or Expedia. Unfortunately, beautiful, yet less-known places and rarely visited sightspots often do not accumulate sufficient number of valuable opinions on such websites. On the other hand, users often post their opinions on casual social media services, such as Facebook, Instagram or Twitter. Therefore, in this study, we develop a system for supplementing insufficient number of Internet opinions available for sightspots with tweets containing opinions of such sightspots, with a specific focus on wildlife sightspots. To do that, we develop an approach consisting of a system (PSRS) for wildlife sightspots and propose a method for verifying collected geotagged tweets and using them as on-spot reviews. Tweets that contain geolocation information are considered geotagged and therefore treated as possible tourist on-spot reviews. The main challenge, however, is to confirm the authenticity of the extracted tweets. Our method includes the use of location clustering and classification techniques. Specifically, extracted geotagged tweets are clustered by using location information and then annotated taking into consideration specific features applied to machine learning-based classification techniques. As for the machine learning (ML) algorithms, we adopt a fine-tuned transformer neural network-based BERT model which implements the information of token context orientation. The BERT model achieved a higher F-score of 0.936, suggesting that applying a state-of-the-art deep learning-based approach had a significant impact on solving this task. The extracted tweets and annotated scores are then mapped on the designed Park Supplementary Review System (PSRS) as supplementary reviews for travelers seeking additional information about the related sightseeing spots.

Integration of Internet search data to predict tourism trends using spatial-temporal XGBoost composite model

ABSTRACT Tourism trend prediction facilitates estimation of tourism investment and revenue. Studies on tourism prediction have primarily relied on linear models and historical visitors; however, relationships between tourism trends and their factors may be nonlinear. This study constructed factors from internet search data and predicted tourism trends using a spatiotemporal framework based on the extreme gradient boosting (XGBoost) method. The study first sorted Baidu index data that is computed by weighting the search frequency. The spatial cluster analysis was conducted to incorporate spatial characteristics, and principal component analysis was further performed to identify factors. The next step derived variables using the weighted moving average method to reduce the lag effect between tourism internet search and actual behavior. We applied the proposed spatiotemporal XGBoost composite model to predict Beijing’s tourism trends. The R2 scores of the simple XGBoost model, the autoregressive integrated moving average model, the spatial XGBoost model, and the spatiotemporal XGBoost composite model were 0.517, 0.625, 0.791, and 0.940, respectively. Compared to predictions from different models, the spatiotemporal XGBoost composite model has the best prediction ability. The findings also suggest that machine learning methods may not perform well without considering spatial properties, such as spatial autocorrelation and spatial heterogeneity.

Internet Tourism Resource Retrieval Using PageRank Search Ranking Algorithm

At present, there is a wide variety of tourism resources on the Internet. Tourism management departments must monitor these resources. At the same time, tourists must also retrieve personalized information that they are interested in. This requires a lot of time and energy. This essay studies and implements the tourism network resource monitoring system. The main work completed in the thesis proposes and constructs a topic collection algorithm and establishes a starting point, topic keywords, and a prediction mechanism. The algorithm includes three stages: the first climbing stage, the learning stage, and the continuous climbing stage. Open category directory search is used for similarity judgment and result evaluation. The experimental results show that with the continuous execution of the crawling process, the collection speed of related pages is getting faster and faster. We propose an algorithm for the extraction of wood based on the density of Internet tourism resources. The algorithm calculates the ratio of Internet tourism resource labels by row and uses a threshold extraction algorithm to distinguish area from private non-Internet tourism resource area. Experimental results show that the algorithm can successfully extract the main content of the article from a wide variety of web pages. This thesis takes the monitoring of tourism network resources as the research object and establishes a tourism network resource monitoring system, which can provide users with customizable, all-round, and real-time tourism network resource collection, extraction, and retrieval services so as to monitor tourism resources. The research results of this article can promote the construction of tourism informatization and can help users grasp the latest tourism information, thereby bringing great convenience to tourism. The system only downloads travel-related information through the use of topic collection technology, reducing the interference of irrelevant redundant web pages.

The use of creative digital technologies in the field of tourism during the COVID-19 pandemic: economic and social impact

The relevance of the research topic is that the development of creative technologies of the national and world tourism industry in the conditions of COVID-19 is the development of Internet economy, e-economy, Internet tourism based on digital technologies related to digital information management processes. computer technologies, representing a set of digital methods and programs. The purpose and formation of the purposes of the article (task statement): theoretical and practical aspects of research of development of creative digital technologies in the conditions of COVID-19. Objectives of the study: 1) to analyze the forms of creative technologies of the national and world tourism industry in the conditions of the COVID-19 pandemic; 2) to find out the development of blockchain technologies and technological startups in the field of tourism; 3) to identify trends in the digitalization of travel services through online services and applications; 4) to show the implementation of the customization process in the system of providing tourist services to consumers; 5) to reveal new travel forecasts of the tourism industry for 2021 in the conditions of COVID-19. Research methodology. The analysis of the development of national and world tourism industry creative technologies in the conditions of COVID-19 is based on the method of system analysis and synthesis, which is based on clarification, streamlining, structuring of creative technologies of the national and world tourism industry and it is proclaimed a tool that provides a scientific approach to the optimal solution of COVID-19 problems. An important role is played by the anthropological method, which is based on such principles as: the permanence of biological, social, intelligent (spiritual) being, aimed at maintaining human health; universality of man, the unity of the human race, regardless of ethnic, social, geographical and other differences. The substantial (ontological) method involves identifying the basis of the world, the relationship between man and the world, based on the definition of being and its forms, the interaction of the world and man, which affects its health and stability. To analyze this problem we used methods of statistical data analysis and macroeconomic modeling and forecasting, actively developed by representatives of the Club of Rome. The result of the study. Foreign experience of using creative digital technologies is analyzed, in particular on the example of Siemens in the conditions of COVID-19 and its positive experience is shown.

Internet+ Agriculture: An Empirical Perspective of the Internet Effect in Agricultural Economy

In order to study the role and impact of the Internet on the growth of China’s agricultural economy and to promote the development of the Internet+ agricultural economy better, this paper chooses key indicators of the Internet to construct the Economic Effect Panel Model of the Internet+ agriculture. The test results show that 1) the Internet has a positive impact on agricultural economic growth. 2) Among the individual effects, the regional differences are obvious; agricultural products have distinctive characteristics; and the effect of Internet+ is more prominent in the regions of developed agricultural tourism. 3) the period effect before 2010 was negative, and after 2011 it became positive and this positive effect was increasing year by year. Based on the test results, some corresponding countermeasures and suggestions were made: 1) to increase the investment of Internet in agriculture, especially in special agriculture. For example, some kinds of agricultural tourism Internet projects should be used. 2) to enlarge investment of agricultural Internet and Internet of Things in agricultural fiscal spending, in agricultural fixed assets investment and in the construction of farmland infrastructure. 3) to strengthen talents training of Internet+ agricultural, and to improve the Making of Internet+ agricultural standards.

Research on Informatization Development of Minshuku in the Background of Big Data Era

With the popularization of intelligent mobile devices and the rise of tourism Internet platforms, tourism consumer behavior also shows strong information characteristics. The booming tourism industry has entered the era of big data. Under the trend of tourism big data, minshuku has become a noticeable growth point. This paper analyzes the characteristics of minshuku informatization under the background of big data era and the current situation of minshuku informatization development, and puts forward some countermeasures such as building big data, informatization system, efficiently utilizing multiple tourism Internet platforms, and combining big data analysis on the basis of the two, creating minshuku characteristic brands, etc. Fully mining big data can provide more comprehensive and accurate decision support for the future development of minshuku.

Use of Internet Technologies by the Tourism Products Consumers in Ukraine

The importance of modern information and communication technologies in the economic and social life has steadily increased. The Internet creates new opportunities to provide services and meet needs. Tourism enterprises are interested in making a big profit from their sales and want the customers to give their preferences to them. The article deals with the peculiarities of Internet use by the tourism services consumers. Determined that the compared to traditional advertising technologies, Internet makes it possible to provide a dialogue with the consumer, to establish feedback and, in terms of investment, it is much cheape. The data representing the social characteristics of the sphere of Ukrainian Internet consumers are generalized. The main reasons and motives for making online purchases by tourism services consumers are indicated. The barriers that hinder the further development of Internet commerce and the promotion of online tourism services have been identified. Quantitative and qualitative research on the use of tourism Internet services in Ukraine has been carried out. Has been summarized thet the among the main universal reasons that motivate the population to use І-services are: the time-saving; variety of proposals; convenience; overcoming geographical and temporary barriers; finance saving.

Using of modern information and communication technologiesin the tourism

The importance of modern information and communication technologies in the economic and social life has steadily increased. The Internet creates new opportunities to provide services and meet needs. Tourism enterprises are interested in making a big profit from their sales and want the customers to give their preferences to them. The article deals with the peculiarities of Internet use by the tourism services consumers. Determined that the compared to traditional advertising technologies, Internet makes it possible to provide a dialogue with the consumer, to establish feedback and, in terms of investment, it is much cheaper. The data representing the social characteristics of the sphere of Ukrainian Internet consumers are generalized. The main reasons and motives for making online purchases by tourism services consumers are indicated. The barriers that hinder the further development of Internet commerce and the promotion of online tourism services have been identified. Quantitative and qualitative research on the use of tourism Internet services in Ukraine has been carried out.

SWOT Analysis of Marketing Strategies Applied by MTDC for Promotion of Maharashtra Tourism

With the increasing role of the Internet in Marketing, Destination Marketing Organisations (DMOs) are focusing on the application of the Internet in destination promotion activities. The present study aims to evaluate the application of Tourism Internet Marketing Strategies by Maharashtra Tourism Development Corporation (MTDC), India. Data Triangulation Method was used for detailed understanding of the phenomenon. Further, the researchers have provided a SWOT Analysis of these strategies, which would be helpful for destination planners and marketers in improving destination competitiveness.

The Mobile Internet Contribution in Tourism

Daily use of mobile devices has become one of many living standards. The number of Internet users is increasing annually. Along with the mobile devices rising number, the need for responsive design also rises. The purpose of this research is threefold: firstly, to clarify, secondly, to explore, and thirdly, to discuss the role of mobile Internet in achieving tourism, particularly hotel strategic goals. The elaboration will be based on the mobile internet traffic history, in Croatia and globally. In the accordance with the above stated the authors collected the relevant data sample. Examples are: website visits, websites user conversions, share of realized reservations and transactions made on the websites via mobile devices to verify the significance of mobile Internet traffic for the tourism business. The research findings have the potential to contribute to the tourism manager’s level of awareness regarding the role of mobile internet in tourism and hotel business. As additional contribution, it will be discussed the forthcoming perspectives of the mobile internet traffics and mobile internet future trend.

The effect of information presentation modes on tourists’ responses in Internet marketing: the moderating role of emotions

ABSTRACTIn order to enhance our understanding of the effectiveness of information transmission through virtual reality (VR), this study used a modified stimulus–organism–response framework to examine the relationships between information presentation modes (VR versus picture), emotions (pleasure and arousal), and tourists’ responses, namely attention, interest, desire, and action (AIDA) in the context of Internet tourism marketing. Multivariate analysis of variance (MANOVA) and multivariate analysis of covariance (MANCOVA) were employed to analyze data gathered from 184 respondents participating in a factorial experimental design. The results indicated that compared with the picture mode, the VR mode had superior effects on tourists’ responses, but these superior effects were moderated by arousal. High-arousal tourists had stronger AIDA responses in the VR mode than in the picture mode. However, the stronger effects of the VR mode on tourists’ AIDA responses disappeared in the low-arousal group. The findings of this study provide several important theoretical and practical implications for Internet tourism marketing.

Turisti iz Slovenije u hrvatskom primorju – obilježja i prostorni raspored turističkog prometa i internetske turističke ponude

The Croatian Littoral has been the most important tourist destination for tourists from Slovenia for decades. The coastal areas of Istria, Kvarner, and Dalmatia, including the Adriatic islands, became widely popular among Slovenes in the period of intense tourism development in the once common state of Yugoslavia. Today Croatia is the destination of as many as 60% of all private trips from Slovenia. In the introduction the affinity of Slovene tourists for travel abroad is supplemented with statistical data on their visits to the Republic of Croatia. In the next sections special emphasis is placed on the number of Slovene tourists and overnight stays, their average length of stay and spatial distribution in the Croatian Littoral in 2007. These data are then compared to those from 1999. The central section of the article consists of a detailed analysis of the content of the internet tourism offer of Slovene travel agencies as presented on their websites. The objects of the analysis were the structure of advertised destinations in the Croatian Littoral across counties and the structure of offer by type of tourist services (summer vacation, travelling/trip, cruising).

Lingvopragmaticheskie kharakteristiki internet-diskursa meditsinskogo turizma

Lingvopragmaticheskie kharakteristiki internet-diskursa meditsinskogo turizma

The Research of Internet Information Services on the Impact of Tourism Decision-Making

Along with the network popularization, the future of travel decisions will be relying more on the network. This article attempts through the method, sum up, through the literature investigation and analysis to illustrate the network in a new generation of tourism decision-making behavior of tourists, the role of, at the same time, based on the analysis of the various factors that affect tourists travel decisions, the essence of the Internet information services and features, on the basis of summing up the Internet and its bearing network tourism information on various influences of tourists travel decisions, and analysis and evaluation of the intensity and effect of each impact factor can, Internet tourism information service and the relationship between tourists travel decisions, and then explain the Internet tourism information service development potential impact on tourism. The study on the marketing and tourism companies has extremely important practical significance. Travel website in China should be how to build search on the Internet to attract more tourists, and consumption has a certain reference and reference value. We hope that this article can for tourism enterprises, tourism operators and tourists put forward useful suggestions and enlightenment.

The Impact of the Internet in Travel and Tourism: A Research Review 2001–2010

ABSTRACTThe Internet has had a major impact on tourism both for providers and consumers. This article classifies and analyzes the wealth of research published in major tourism journals over the past 10 years to identify major areas of focus and gaps in the research landscape related to the Internet in tourism. Research articles have substantially increased in number over the past 5 years of the 10-year period under analysis. The research can be categorized into seven areas with information search, website analysis, and Internet marketing being the three most common research topics. Although Internet-related issues in tourism are commonly researched, the article calls for more case study research to be conducted that takes an e-business and organizational perspective so that other organizations can learn from the mistakes made and also from best practice.