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Li, Hui. "Internet Tourism Resource Retrieval Using PageRank Search Ranking Algorithm." Complexity 2021 (May 26, 2021): 1–11. http://dx.doi.org/10.1155/2021/5114802.
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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.
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Huang, Zong, Qiong Wen, and Yanqiong Song. "Wisdom Tourism Management Mode in the Background of Big Data of the Internet of Things." Mobile Information Systems 2022 (July 31, 2022): 1–12. http://dx.doi.org/10.1155/2022/3765194.
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Since the rapid development of the global economy, tourism has become an indispensable entertainment and relaxation item in people’s lives. However, the traditional tourism management mode is slow in conveying tourism information, and there is no reasonable planning of tourism projects for tourists, and it is even more difficult to accurately locate the travel preferences of travelers and make specific travel plans, so that travel resources cannot be fully utilized. Therefore, the Internet of Things big data technology and travel management are combined. For this reason, a wisdom tourism management model based on the big data background of Internet of Things (IoT) is developed. In order to timely arrange and adjust work and travel plans, wisdom tourism makes use of cloud computing, IoT, and other new technologies, with the help of portable mobile terminal devices, so that the tourists can receive timely information about tourism resources, tourism activities, and tourism surroundings to achieve intelligent perception of tourism information, timely arrangement effect. Wisdom tourism can make use of undeveloped tourism resources as much as possible and drive the development of surrounding industries, and promote the economic development of tourist areas. This paper mainly compares the smart tourism management mode with the traditional tourism management mode. The experiment shows that the development degree of the wisdom tourism management mode accounts for 82.8% of the total tourism resources. The traditional tourism management model is only 70.1%, and the GDP of the economy around the tourist area in the wisdom tourism management model in one year is 1.4 times higher than that of the traditional tourism management model. In terms of tourism experience, the wisdom tourism management model is also much better than the traditional tourism management model. And the lower the average age of the experimenter, the higher the favorability of wisdom tourism, up to 98%. It highlights the advantages of the wisdom tourism management model in personalized tourism, tourism development, and surrounding economic growth.
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Wang, Lu. "Sustainable Utilization Mode of International Communication of Cultural Tourism Resources Based on the Concept of Green Growth." Mobile Information Systems 2022 (April 19, 2022): 1–9. http://dx.doi.org/10.1155/2022/1938651.
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Cultural tourism is gradually showing a rapid development momentum, but there are also some corresponding problems in the use and development of cultural resources and management mode, so how to maintain the sustainable development of cultural tourism resources and environment on the basis of economic stability is particularly important. Therefore, this paper takes the tea culture resources of Hunan Province as the research object, adopts the methods of questionnaire survey, and conducts a sample survey on the tourists in Hunan of 2020 Oct. It also analyzes the types of tourists’ travel behavior, the reasons for tourists’ travel, the most important tourist attraction elements, tourists’ satisfaction, awareness of tea culture tourism, and awareness of Hunan Province. The value evaluation of cultural resource development, the evaluation of cultural tourism resources in Hunan Province, the evaluation of cultural tourism commodities and the shortcomings in tourism are analyzed. The results show that tourists pay more attention to the comprehensive experience, cultural resources, and environment; they are willing to learn more about cultural resource tourism; at the same time, they also reflect that there are insufficient development efforts, backward supporting facilities, and lack of relevant talents and laws in cultural resource tourism. Finally, this paper puts forward the sustainable utilization and management mode of cultural resources. By comparing before and after the trip, whether the respondents are “willing” to further understand the tea culture, 26.6% of them are “unwilling” before the trip and 73.4% are “willing,” and 12.2% are “unwilling” after the trip and 87.8% of them choose “willing.”
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Kang, Xiaomei. "Research on the Construction Path of Characteristic Tourism Resource Development System and Platform under the Background of Rural Revitalization." Mobile Information Systems 2022 (August 25, 2022): 1–11. http://dx.doi.org/10.1155/2022/7500042.
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In order to improve the development effect of tourism resources with rural characteristics, this paper combines the digital communication signal modulation technology to process the related data of tourism resources. Moreover, before the quadrature demodulation of the tourism information signal is carried out in this paper, the symbol rate is estimated, and the signal-to-noise ratio and the symbol rate of the digital communication signal are estimated to improve the development effect of tourism resources. The estimation of the signal symbol rate is obtained by statistical analysis of the instantaneous characteristics of the signal in the time domain, and it can also be obtained by measuring the length of the adjacent transition points of the instantaneous amplitude. In addition, this paper constructs a rural characteristic tourism resource development and management system based on communication signal modulation technology. Finally, through test research, this paper verifies that the rural characteristic tourism resource development platform proposed in this paper has a good effect on the development and management of rural characteristic tourism resources.
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Wang, Wei, Shiqi Yu, Suiying Cheng, Kaixia Liu, and Shuang Jia. "An Optimization Analysis Model of Tourism Specialized Villages Based on Neural Network and System Dynamics." Computational Intelligence and Neuroscience 2022 (May 17, 2022): 1–8. http://dx.doi.org/10.1155/2022/2207814.
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With the rapid development of tourism, professional tourism villages emerge one after another, which has become the focus of the tourism industry. At present, there are some problems in tourism professional villages, such as imperfect management and inaccurate prediction of future development, which affect the rational allocation of tourism resources. In order to improve the distribution of tourism resources and better predict the development of tourism professional villages, it is necessary to make comprehensive judgment and analysis, especially the analysis of indicators such as the prediction and development judgment of tourism professional villages. This paper discusses the optimization analysis of the agglomeration of tourism specialized villages by backpropagation (BP) neural network and system dynamics model, analyzes the system structure of the agglomeration factors of tourism specialized villages, and promotes the intelligent integration of the agglomeration factors. The development of clusters of professional villages promotes data integration among resources, economy, society, and other elements and presents the characteristics of big data. As the level of concentration of professional villages increases, the complexity of the associated factors also increases, which increases the difficulty and effectiveness of tourism analysis. In view of this situation, taking mountain tourism as the research object, this paper proposes an improved system dynamics model based on BP, extracts features from cross factor (resource, economic, and social) data, and optimizes the relationship between professional village agglomeration and various factors. The MATLAB simulation results show that based on the improved system dynamics analysis, the simplification rate of (resources, economy, and society) data can be controlled at more than 24%, the degree of agglomeration is more than 95%, and the construction time of the relationship map of related factors is less than 40 s. Therefore, the analysis method proposed in this paper is suitable for the calculation of the agglomeration of tourism professional villages in the mountain area and can meet the needs of the development of tourism professional villages in the mountain area.
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HU Xiaotao. "The Application of GIS Technology in Tourism Resources Management." International Journal of Digital Content Technology and its Applications 7, no. 3 (February 15, 2013): 308–14. http://dx.doi.org/10.4156/jdcta.vol7.issue3.39.
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Li, Dan, Pengju Du, and Haizhen He. "Artificial Intelligence-Based Sustainable Development of Smart Heritage Tourism." Wireless Communications and Mobile Computing 2022 (May 30, 2022): 1–13. http://dx.doi.org/10.1155/2022/5441170.
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World heritage is a kind of affirmation and high honor given by the international community to the important civilization, historical relics, or natural landscape of a country and nation. This paper studies and analyzes the sustainable development of heritage tourism boosted by smart tourism based on big data artificial intelligence. This paper first analyzes big data and then introduces the concept of smart tourism. Smart tourism is a new future-oriented tourism form that serves the public, enterprises, and governments. It uses the Internet of Things, cloud computing, next-generation communication network, high-performance information processing, intelligent data mining, and other technologies in tourism experience, industrial development, administrative management, and other applications, so that tourism physical resources and information resources have been highly systematically integrated and deeply developed and activated. And then, we analyze and discuss artificial intelligence algorithms. Artificial intelligence is a new technological science that is researched and developed on the basis of computer science as a simulation and extension of human intelligence activities. Finally, a comprehensive analysis is made on the tourism ecological footprint of natural heritage sites and the carrying capacity of tourism ecology in natural heritage sites. The experimental results of this paper show that the tourism development of this natural heritage site is in a sustainable state. The reasons are as follows: First, the average tourist ecological footprint of the place is 0.009466 hm2, the average tourism ecological carrying capacity is 0.032861 hm2, and there is an average ecological surplus of 0.02339 hm2; secondly, the average tourist natural footprint is 18285.93 hm2, the average tourism environmental carrying capacity is 40421.97 hm2, and the average ecological surplus is 22136.04 hm2. To sum up, it shows that its tourism development is in a state of sustainable development.
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Zheng, Benxia, Zheng Mei, Liangyu Hou, and Shuoli Qiu. "Application of Internet of Things and Edge Computing Technology in Sports Tourism Services." Security and Communication Networks 2021 (May 29, 2021): 1–10. http://dx.doi.org/10.1155/2021/9980375.
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Aiming at the problems of long retrieval time of sports tourism data, high integration error of sports tourism data, and high energy consumption of sports tourism service management in traditional methods, the application of Internet of Things and edge computing technology in sports tourism services is proposed. We established a sports tourism service application model based on Internet technology to realize the functions of sports tourism service internal management control, external collaboration, and information release. We calculated the similarity of sports tourism resources from the two levels of feature words and the environment where the sports tourism resources are located. According to the calculation results, the edge computing method is used to realize the integration of sports tourism service resources to improve the application effect of sports tourism service application models. The experimental results show that the minimum data retrieval time of the proposed method is only 2.35s. The sports tourism data fusion error is low. The management energy consumption is small, which significantly improves the existing problems and fully verifies the practical application value of the method.
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Xu, Anfeng, and Wenjun Zeng. "Dynamic Optimization Modeling of Smart Tourism Information System Using VRGIS in Big Data Environment." Computational Intelligence and Neuroscience 2022 (October 10, 2022): 1–8. http://dx.doi.org/10.1155/2022/7914674.
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The establishment of an intelligent, comprehensive, and all-encompassing information system for tourism management is the current trend in tourism informatization as a result of the continual development of modern information technology. Significant advancements in the field of VRGIS and its usage in research have been made as a result of the use of VRGIS to categorize, assess, plan, and manage tourism resources. The analysis of the recent development of VRGIS in tourism resource research is the first section of this work. This study examines and implements a mobile, computerized, and intelligent tourism service system that gives visitors a sense of the surrounding landscape using VRGIS. Three-dimensional mapping, environment detection, personal trajectory, and Weibo sharing are just a few of the system’s many helpful features. While travelling, tourists can get services that are more intelligent and practical. The drawbacks of conventional geographic information systems include their reliance on sophisticated models, network limitations, and operational challenges. New software architecture is put in place to get rid of network restrictions, virtual reality peripherals are used to make operation more convenient, and system modeling is rebuilt using the TIN data model and model simplification. The results of experiments show improved refresh rates and peripheral expansion modules. The user experience is enhanced by this research.
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Li, Xue. "Research on tourism industrial cluster and information platform based on Internet of things technology." International Journal of Distributed Sensor Networks 15, no. 7 (July 2019): 155014771985884. http://dx.doi.org/10.1177/1550147719858840.
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With the continuous development of Internet of things technology, the tourism industry cluster based on the Internet of things platform has gradually formed, and the resource integration mechanism of industrial clusters under the Internet of things platform has gradually become a research hotspot. Starting from the theory of niche research in tourism industry cluster, this article improves the mode of industrial clusters through the Internet of things platform. Then, combining resource integration game model, the resource integration mechanism of Internet of things tourism industry cluster is formed. Relying on the information management model of the Internet of things industry, the information platform of industrial clusters is constructed, and the simulation research is carried out by MATLAB. The results show that the overall industrial income generated by the resource allocation mechanism under the Internet of things platform is better than that under the traditional resource allocation mechanism, and the resources integration of tourism industry cluster under the Internet of things platform is achieved, which provides a theoretical basis.
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Origlia, Antonio, Silvia Rossi, Sergio Di Martino, Francesco Cutugno, and Maria Laura Chiacchio. "Multiple-source Data Collection and Processing into a Graph Database Supporting Cultural Heritage Applications." Journal on Computing and Cultural Heritage 14, no. 4 (December 31, 2021): 1–27. http://dx.doi.org/10.1145/3465741.
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The continuous growth of available resources on the web, both in the form of Linked Open Data and on Social Networks, provides an important opportunity to gather information concerning specific kinds of touristic activities like, for example, cultural tourism, eco-tourism, bike-tourism, and so on. Both decision makers and tourists can take advantage from these data, as demonstrated by previous works, with institutional actors foreseeing an increase in the use of this data to substitute other time-consuming and expensive approaches. However, managing multiple sources built with different goals and structures is not straightforward, so specific design choices must be made when assembling this kind of information. Graph databases represent an ideal way to combine multiple-source data but, to be successful, strategies accounting for inconsistencies and format differences have to be defined to support coherent analysis. Also, the continuously changing nature of crowd-sourced data makes it difficult, for the research community, to compare technological approaches to the different tasks that are linked to cultural heritage, from recommendation to management. To support the research effort in this direction, we describe the data ingestion and enrichment procedure we followed to organise knowledge coming from three different sources, namely Wikidata, Wikipedia, and Flickr, into a single, application-oriented, resource organised as a graph database. We present the potential use of this resource to perform multiple source analyses targeting the specific case of cultural tourism on a nationwide scale, and we propose its use as a shared benchmark for technological applications designed to support optimal management of cultural resources.
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Chen, Jingjing, and Xiqiong Wang. "Analysis on Spatial Distribution Characteristics and Configuration of Tourist Hotels Based on Artificial Intelligence Technology." Wireless Communications and Mobile Computing 2022 (May 18, 2022): 1–11. http://dx.doi.org/10.1155/2022/8227294.
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As one of the three pillar industries of tourism, the hotel industry has developed rapidly in recent years, especially the construction and development of urban star hotels. The major star hotel brands have poured in one after another, and a large amount of funds have been invested in the star hotel market. The continuous construction of various types of star hotels has formed the geographical agglomeration phenomenon of star hotels in Chinese cities. This phenomenon has not only brought the advantages of regional economies of scale and brand building, but also brought the competition between star hotels. Under the guidance of market demand, tourism can be created through industrial integration and functional combination to develop the tourism industry, which makes the spatial distribution of tourism hotels closely related to transportation, consumer demand, urban environment, and even industrial policy. In recent years, artificial intelligence methods are more and more applied to tourism, mainly including rough set method, genetic algorithm, fuzzy time series, grey theory, artificial neural network, and support vector machine. Based on artificial intelligence technology, this paper studies the spatial distribution characteristics and configuration of tourism hotels. The distance of the peak value of tourism hotel spatial distribution characteristics is 4.8 km and 6.6 km, respectively, and the distance of the peak value of natural tourism resources is 0.98 km. Because the spatial distribution characteristics of cultural, special, and tourism hotels are restricted by their own quantity, resource endowment, and inherent attributes, the spatial scope of location layout is relatively small. The spatial distribution characteristics and configuration of tourist hotels can also timely monitor and prevent various emergencies, prevent tourism safety accidents, and improve the ability of tourism emergency management by using artificial intelligence and other technologies. With the continuous optimization of artificial intelligence technology and the deepening of cooperation between tourism disciplines and interdisciplinary, the research on tourism big data driven by research problems will be more mature.
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Tikunova, Irina, and Ekaterina Tsareva. "Tourism potential of the countries of Central and Eastern Europe within the framework of the European Union." InterCarto. InterGIS 28, no. 2 (2022): 376–94. http://dx.doi.org/10.35595/2414-9179-2022-2-28-376-394.
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The purpose of the work is to assess the tourism potential and its use by the countries of Central and Eastern Europe (CEE), their involvement in European integration. The transformation of tourism in the CEE countries after joining the EU is considered. With the help of a set of indicators, the rating of countries according to the level of development of tourist potential is calculated. The following indicators were used: the number of UNESCO sites, the quality of beaches, the price competitiveness index, infrastructure development indicators (number of the accommodation, aviation passenger turnover, density of the road and railway network), human development index, international safety rating, environmental management efficiency rating, the number of reviews on the Internet, travel competitiveness rating. There are 4 groups of countries. The first two groups with high and relatively high levels do not include any CEE countries. The third and fourth groups (with medium and low levels) consist almost entirely of CEE countries, with the exception of some countries in Western, Northern and Southern Europe. The classification shows that the CEE countries lag behind other EU countries not only in terms of basic tourism indicators. But it is also insufficiently adapted to the recreation of the natural, cultural, historical and socio-economic base. The typology of countries according to the attractiveness of tourist destinations is carried out and ratings on absolute and relative indicators of development are calculated. On the basis of the three ratings, a bubble chart is constructed reflecting the effectiveness of the use of the tourist potential by the EU countries. Its analysis shows that Croatia occupies a special place against the background of lagging behind the rest of Europe in the use of the tourist potential of the CEE countries, which, despite the average values of the potential, is ahead of most of the leading European countries in terms of the effectiveness of its use. With the availability of good natural and cultural and historical resources, the rise of the CEE tourism industry is possible in the long term.
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Mo, Jianghong, and Fei Ren. "Analysis on the Countermeasures of Optimizing Urban Tourism Public Service System under the Background of Smart City." Complexity 2021 (February 26, 2021): 1–13. http://dx.doi.org/10.1155/2021/6642404.
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At present, there are problems in the construction of the tourism public service system such as poor coordination and coordination among various departments, lack of resource integration mechanism, and low level of information of tourism public services. Therefore, by analysing the problems existing in the tourism public service system in the context of smart cities, this paper puts forward strategies to optimize the tourism public service system. First, we build a smart tourism public service system platform for overall development and optimize the tourism public service platform. Secondly, by focusing on the behaviour of tourists, we construct a big data analysis and management system for the behaviour of smart tourism tourists. Finally, for the traffic situation in the process of tourism, a smart traffic line network based on pheromone ant colony is constructed. The results of the questionnaire survey on tourists show that the optimized public service system platform has achieved great satisfaction.
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Li, Lei, Xiaojuan Ye, and Xilong Wang. "Evaluation of Rural Tourism Carrying Capacity Based on Ecological Footprint Model." Wireless Communications and Mobile Computing 2022 (February 17, 2022): 1–10. http://dx.doi.org/10.1155/2022/4796908.
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The evaluation of the environmental carrying capacity of tourism resources has important guiding significance for the sustainable development of tourism. This study uses the ecological footprint index to construct the evaluation model of rural tourism environmental carrying capacity and quantitatively analyzes the impact of rural tourism ecological footprint on the environment, ecological pressure, and the maximum carrying capacity of tourists in Nanyang City (China) from 2011 to 2020, so as to provide a reference basis for local rural tourism planning and ecological environment management. The empirical analysis results show that (1) during the decade 2011–2020, the overall ecological footprint increased by 31.47%; however, the per capita ecological footprint showed a downward trend year by year; (2) in the ten years from 2011 to 2020, although the environmental carrying capacity was in surplus, it showed a downward trend year by year, and the ecological pressure index initially appeared; (3) taking the number of tourists in 2020 as the reference value, the prediction of the ecological pressure of rural tourism environment and the carrying capacity of tourists shows that although the ecological pressure is in a relatively safe state, it will show an unsafe state with the increase of the number of tourists. Based on the above results, it is suggested that local governments and tourism planning and management departments should pay full attention to the adverse impact of tourism development on the environment, strengthen the construction of green transportation, balance the development of tourism resources, scientifically control the number of tourists, improve tourists’ awareness of environmental protection, protect the ecological environment of Nanyang City, and realize the sustainable development of rural tourism.
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Zhuravlev, Viktor, Elena Vorobyevskaya, and Sergey Kirillov. "Modern nature resource management in Tunkinsky National Park." InterCarto. InterGIS 28, no. 2 (2022): 362–75. http://dx.doi.org/10.35595/2414-9179-2022-2-28-362-375.
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Since the formation of Tunkinsky National Park in 1991, the territory of which completely coincides with the boundaries of the Tunkinsky district of the Republic of Buryatia, the nature resource management of the region has undergone significant changes. The national park is being developed in accordance with the environmental legislation provided for economic activities within such protected areas. The purpose of the creation of the national park was the need to preserve the diversity of landscapes of the Tunkinsky mountain valley and the mountain ranges surrounding it, the protection of biodiversity, natural, historical and cultural monuments in combination with tourism. The regulation of the use of the park territory is carried out in accordance with its functional zoning for environmental education, scientific, recreational and limited economic purposes. The study area has long been a place of traditional use of natural resources. Here people hunted, fished, grazed cattle, gathered wild plants, people settled along the banks of lakes and rivers. In the Soviet years, this area received intensive recreational development due to active tourist development, which was facilitated by good transport accessibility and the existing settlement infrastructure. A sociological survey, as well as conversations in local administration bodies, showed that such types of economic activity as agriculture, cattle breeding, recreation (serving tourists), gathering, crafts, etc. remain the main ones in the livelihood of the local population. All these forms of economic activity affect nature in different ways, transform it. The practical significance of the research lies in the possibility of using the results of the study by various organizations, including administrative bodies of any level, to assess the current socio-economic situation and forecast its development, to prevent conflicts in nature resource management, to make effective decisions in management, choosing strategies for the possible development of the territory.
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Lado-Sestayo, Rubén, and Milagros Vivel-Búa. "Hotel profitability: a multilayer neural network approach." Journal of Hospitality and Tourism Technology 11, no. 1 (May 27, 2019): 35–48. http://dx.doi.org/10.1108/jhtt-08-2017-0072.
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Purpose The purpose of this paper is to design an algorithm to predict hotel profitability by means of deep learning techniques. Design/methodology/approach The methodology consists of a multi-layered neural network that includes a lag of profitability as the input. Furthermore, other input variables are related to hotel and tourist destinations; the raw data for hotel and tourist destinations were collected from multiple public access data sources. Findings The results show that the proposed model has a high predictive capacity of hotel profitability in all the years studied (2005-2011), according to the performance metrics evaluated within the sample. Thus, the authors can conclude that deep learning algorithms can be a useful tool to evaluate hotel performance. Practical implications The algorithm designed in this research could be of interest to improve decision-making processes related to profitability, for example, in evaluating the creation of new hotels. Moreover, the model provides a quick and efficient analyses that could be of interest to investors and lenders. In particular, they could compare investment alternatives in the hotel sector. Also, according to the results, the location variables are important determinants of hotel profitability, and consequently, hotel managers should collaborate with the tourist destination managers to improve profitability. From an internal perspective, hotel managers should focus on the management of human resources. Originality/value This paper is the first empirical study that predicts hotel profitability using deep learning techniques. In addition, this methodology is applied to analyse hotel profitability, for the first time, in the Spanish market. This market is an ideal analytical framework because of its heterogeneity with respect to hotel supply in terms of seasonality and coastal characteristics, among others.
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STAVSKA, Yulia. "THE DIRECTIONS OF INNOVATIVE CHANGES IN THE DEVELOPMENT OF TOURISM IN UKRAINE." "EСONOMY. FINANСES. MANAGEMENT: Topical issues of science and practical activity", no. 2 (42) (February 2019): 45–57. http://dx.doi.org/10.37128/2411-4413-2019-2-4.
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In the context of globalization, the sphere of tourism becomes more and more important, since it is one of the most profitable and dynamic branches of the world economy of the country. Tourism contributes to the growth of employment, accelerates the diversification of the economy, because this sphere covers more than 50 branches of the national economy, therefore the innovation of the tourist sphere should become its constant component. In addition, tourism not only preserves, but also develops the cultural potential of the country and the population, harmonize relations between different peoples and contributes to the friendly use of the environment. Indicators of its profitability indicate the importance of tourism for the development of economy, namely: 8% of world exports and 30% of world services sales, as well as annual growth of world tourist flows by 4-5%. However, Ukraine loses significantly in the competition, lagging behind the leading countries of the world in terms of development of tourist infrastructure and the quality of tourist services. Financial and economic crisis that has been continuing in recent years, the events associated with annexation of the Autonomous Republic of Crimea and anti-terrorist operation on the territory of Donetsk and Luhansk regions had a negative impact on the tourism flows, the tourism structure and tourist opportunities of the country both on the domestic and the external tourism market. In addition, Ukrainians have recently received the possibility of visa-free travel to the countries of the European Union, which will also lead to the increase in outbound tourism, and a reduction in the entrance. In this regard, it is necessary to introduce innovations in the development of tourism in Ukraine in order to attract visitors. Innovation in tourism "involves developing an original approach, developing new ways to use existing resources while seeking new ones";. Typization of innovation in tourism is developed by Abernathy and Clark, who distinguish 4 types of innovations: regular, niche, revolutionary and architectural. Regular innovations refer to the continuous improvement of the quality of services, the improvement of personnel skills and productivity. Niches innovations usually change the structure of cooperation, but not basic knowledge and skills; they combine existing services in a new way. Revolutionary innovations are associated with the use of new technologies in firms, the development of new methods; they have a radical impact on the key knowledge and skills of the staff up to the appearance of new occupations in the sector. Architectural innovations change the structure, business model and rules in tourism; they create new events and objects that require reorganization, chang physical or institutional infrastructure, research and training facilities. One of the main directions of innovation is the development of sustainable tourism. Destination (tourist areas) are beginning to create a management system for tourism resources and use them in the planning of territorial development. Recently, it became clear that the directions of innovation in tourism are increasingly becoming a systemic nature, when tourism turns from the industry into a "public enterprise";, which involves a variety of institutional stakeholders: government, business, local communities, science and education. At the same time, the remarkable thing is that the more the system of tourism management varies from industrial to post-industrial, the greater the innovative potential has the sphere of tourism, the greater the extent of tourism shifts from mass to individualized. This is due to the smaller segmentation of the market and the emergence of many niche, specialized services and tourist products. There is adaptation of tourism infrastructure, buildings and equipment for the needs of such new, growing groups of tourists as children, the elderly and the disabled. The innovations in the tourism industry, according to Novikov V.S., “are the result of actions aimed at creating a new or changing existing tourist product, developing new markets, using advanced information and telecommunication technologies, improving the provision of tourist, transport and hotel services, creating strategic alliances for realization of tourist business, introduction of modern forms of organizational and managerial activity of tourist enterprises”. In general, tourism is a multi-vector industry, which can create some difficulties in introducing innovations. At the same time, certain areas of tourism activity are impossible without the use of innovative technologies, in particular, information and computer technologies. Effective administrative work of tourism enterprises involves the application of various facilities, as Ukrainian travel agencies are widely using the information sector, in the form of messages, and the virtual sector of travel in global networks. Studies conducted in the field of tourism demonstrate the "consumer nature" of information innovation, while tourism is not a producer in this field. According to preliminary estimates, the cost of the initiative tour operators in Ukraine for maintaining an on-line booking system is about 2% of the cost of services sold. Sales of entertainment and recreation tours provide about 3.3 million dollars. US annually spent money on developing, maintaining and filling in the information support system. Common directions of the use of innovative technologies in tourism are: mobile Internet, catalogs of electronic offers, on-line booking not only for retail agencies, but also directly for clients. Further development of innovation activity is the development of new ideas for promotion of tourist product, development of new tourist routes, availability of information to the consumer, software, etc.
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Yan, Limin. "Application of Knowledge Map Information Technology in Regional Tourism Innovation and Development." Wireless Communications and Mobile Computing 2022 (June 29, 2022): 1–11. http://dx.doi.org/10.1155/2022/7190415.
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There is a huge gap between China’s tourism development model and the rapidly growing demand for social tourism services, the supply capacity of tourism resources and the demand for tourism development, the development of tourism industry and the requirements of regional socioeconomic development and structural adjustment, tourism development system and mechanism, and the existing tourism development and management model. Using the method of knowledge-based atlas analysis, this paper combs and analyzes the relevant literature on the high-quality development of tourism in China. From 2016 to 2017, the research on tourism economic benefits was relatively stable without large fluctuations, and the average number of documents issued reached 48%. From 2018 to 2019, the research heat remained stable, and the research results increased to a certain extent. At this time, the number of external documents reached the same level, with an average of 52%. After 2020, the upsurge of research on tourism economic benefits has emerged, and the number of documents issued has increased year by year, with an average of 62%. Compared with the curve in the figure, the growth and peak of the number of documents issued have a certain lag. The early research on the economic benefits of tourism at home and abroad mainly focuses on the economic benefits of regions and enterprises. With the coordinated development of tourism, society, ecology, and other related systems, it has become an inevitable requirement. Tourism economic benefit is an important concept to measure the comparative relationship between tourism economic input and output. It is also an important index to reflect the effect and level of tourism economic activities. The early research on the economic benefits of tourism at home and abroad mainly focuses on the economic benefits of regions and enterprises. With the coordinated development of tourism, society, ecology, and other related systems, it has become an inevitable requirement.
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Hu, Lewei, Jing Zhao, and Yi Jiang. "E-commerce platform resources, sequence of digital strategic actions and competitive advantage: an empirical study from online tourism industry." International Journal of Networking and Virtual Organisations 27, no. 1 (2022): 61. http://dx.doi.org/10.1504/ijnvo.2022.125999.
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Hu, Lewei, Jing Zhao, and Yi Jiang. "E-commerce platform resources, sequence of digital strategic actions and competitive advantage: an empirical study from online tourism industry." International Journal of Networking and Virtual Organisations 27, no. 1 (2022): 61. http://dx.doi.org/10.1504/ijnvo.2022.10051034.
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Salas, Pau, Vicente Ramos, Maurici Ruiz-Pérez, and Bartomeu Alorda-Ladaria. "Methodological Proposal for the Analysis of Urban Mobility Using Wi-Fi Data and Artificial Intelligence Techniques: The Case of Palma." Electronics 12, no. 3 (January 18, 2023): 504. http://dx.doi.org/10.3390/electronics12030504.
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Knowing and modeling mobility in smart city spaces is important for both planning and managing city resources. The optimization of public resources and the improvement of their management are some of the main concerns in the development of sustainable urban development policies. This study proposes the application of several artificial intelligence methodologies to support mobility planning based on data provided by public Wi-Fi infrastructures in the city. Considering that Wi-Fi networks provide high-frequency data about the devices under their coverage radius, three classification techniques are proposed: by frequency of occurrence of the devices, by estimation of the mode of transport, and by estimation of the most common travel routes. As a case study, the city of Palma (Mallorca, Spain), an international tourist destination where mobility is of singular importance, is selected. This study shows the results obtained from a Wi-Fi network with wide coverage that is integrated into the urban space. It provides novel and updatable information on the mobility model of the city by taking advantage of public high-frequency monitoring resources.
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Li, Xiaoxia, Xi Deng, and Hongfei Xu. "Interactive Cultural Communication Effect in VR Space of Intelligent Mobile Communication Network." Wireless Communications and Mobile Computing 2022 (February 25, 2022): 1–11. http://dx.doi.org/10.1155/2022/9689272.
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Virtual reality technology can provide more display techniques to realize the interactive design of multiexhibition area of red humanities and natural resources. First of all, through the three-dimensional interactive display of cultural relics and scene reproduction of historical events, visitors can enjoy the unrestrained and immersive appreciation, make up for people’s lack of understanding of history, and let tourists personally feel the difficulties and hardships in the development of Chinese revolutionary history. Second, the digital method also provides for the pavilion and the scenic spot design personnel more creative method; dynamic scene reappearance interaction design based on virtual reality technology to promote education, protection of cultural relic collection and utilization, academic research, and the industrial development and multidimensional public welfare publicity results is blended in among them, through the panoramic, immersive, and interactive display technique, such as multilevel multiway spread red brigade culture. Virtual reality constantly imitates the real-life environment, and the application of perception sensing equipment has perception. This new technology requires us to continue to explore and research it. Virtual reality technology is a very cutting-edge subject and research field, which is very challenging. The communication form of culture has also been constantly evolving. Virtual reality technology (VR) has changed the way of traditional culture appreciation through the transmission of visual information, bringing people a new aesthetic enjoyment. Mainstream media is used to mobilize the red cultural heritage protection and scholars at home and abroad, to explore the application of virtual reality in the red culture tourist attraction planning, and to explore virtual reality applications in red open spot virtual roaming: exploration of virtual reality in the application of historical and cultural sites to red tourism management and exploration of virtual reality in the brand historical and cultural sites in the application of the travel marketing, to build an intelligent mobile communication network communication platform and broaden the new path of inheritance and protection. On the basis of studying the communication effect of traditional culture, this paper studies the possible communication effect of symphony orchestra under the new technology format under the framework of communication studies. It also analyzes and explores various factors such as the practical value, difficulty, civilized prestige, adaptability, and resistance to adversity of the culture in cultural communication and compares the methods of cultural communication. By developing a virtual instrument placed in the sphere of virtual reality space, the traditional symphony orchestra can be transformed into an interactive culture communication in virtual reality space. In this communication design, users can define their own instruments to play interactive culture communication, change the position of the instrument on the sphere interactively, and even change the sound effect of the symphony interactively by rotating or adjusting the size of the sphere, so as to achieve the best communication effect of the symphony.
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Wang, Chia-Nan, Khanh-Mai Tran, Ching-Chien Huang, Yen-Hui Wang, and Thanh-Tuan Dang. "Supporting Luxury Hotel Recovered in Times of COVID-19 by Applying TRIZ Method: A Case Study in Taiwan." Systems 10, no. 2 (March 8, 2022): 33. http://dx.doi.org/10.3390/systems10020033.
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The current COVID-19 pandemic, which is alarming for another global economic recession, puts the sustainable development of the tourism system under high consideration. The tourism industry is a key generator of foreign exchange across the region. However, tourism is one of the sectors most affected by the global pandemic. Through a case study in Taiwan, the objective of this study is to show how an Evergreen hotel fixed itself on existing and recovering in the hospitality business during the COVID-19 pandemic in 2020 using the combination of the problem hierarchy analysis (PHA) and the Teoriya Resheniya Izobreatatelskih Zadatch (TRIZ) or the so-called theory of inventive problem-solving technique. Following PHA technique and extensive investigation, the management team determined that the most recent problems at the Evergreen hotel are in marketing and human resources. The 39 parameters and 40 principles of TRIZ were used to determine the improvement solution and create a solution strategy that simultaneously simplified critical control-point (CCP) processes and improved the correctness of tasks, increasing CCP efficiency and supporting and satisfying customer demands in the COVID-19 pandemic in the world in general and in Taiwan in particular. The results revealed that customer bookings grew over the four quarters of 2020 due to adjusting the cancellation policy, discounting, and segmenting the market from international to domestic, increasing the CCP efficiency percentage and customer rating score from 19% to 40% and 8.3 to 8.5 score, respectively. Aside from that, changing the hotel structure with a partnership with the Taixie company assisted Evergreen in reducing various cost pressures to manage the business and recover after a difficult period. This paper can be a useful reference for managers, investors, governments, and policymakers to improve the sustainability performance in the tourism industry.
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Choi, Jongseong, Lazaros Toumanidis, Chul Min Yeum, Patrikakis Charalampos, Ali Lenjani, Xiaoyu Liu, Panagiotis Kasnesis, Ricardo Ortiz, Ning-Jun Jiang, and Shirley J. Dyke. "Automated Graffiti Detection: A Novel Approach to Maintaining Historical Architecture in Communities." Applied Sciences 12, no. 6 (March 15, 2022): 2983. http://dx.doi.org/10.3390/app12062983.
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Graffiti is common in many communities and even affects our historical and heritage structures. This leads to a decrease in the revenue associated with commercial activities or services (e.g., shops, restaurants, residences), and potentially reduces tourism in a region. Visual data, in the form of photographs, is becoming an efficient mechanism to record information. Photographs can be quickly captured, and are already frequently posted online by ordinary citizens (e.g., tourists, residents, visitors). Exploiting image data through automation and computer vision provides a new opportunity to simplify the current manual graffiti-monitoring processes, enabling automated detection, localization, and quantification of such markings. In this study, we developed a vision-based graffiti-detection technique using a convolutional neural network. Images collected from historical structures of interest within a community can be utilized to automatically inspect for graffiti markings. In the case in which citizens collect and contribute data, there is a high degree of duplication and repetition, and potentially a lack of GPS information. These hinder the direct use of the images for automating the process. To address these challenges, we built high-resolution, single-view façade images (orthophotos) before applying our robust graffiti detector. The robust graffiti detector was built using a database with 1022 images of damaged or contaminated structures gathered during a recent European Union project, entitled “Safeguarding Cultural Heritage through Technical and Organisational Resources Management” (STORM). A total of 818 images were used for training (10% of the training set was randomly chosen for the validation set), achieving 88% accuracy among the remaining 204 samples for testing. Using the trained detector, the technique developed was demonstrated using data collected from the Church of Agios Nikolaos (Leontariou), Kantza, Greece.
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Abdelaal, Karim, Jamia Musthafa, and Hafinas Halid. "HRM Practices in Digital Era and its Positive Impact on Environmental Performance within Hotel Industry." Vol.3, Issue 2, Dec 2022 3, no. 2 (December 31, 2022): 1–10. http://dx.doi.org/10.55862/asbjv3i2a001.
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Digital technologies are new trends in recent times that have revolutionarily changed. business models, work, conduct business, and corporate strategies. As a result, the human resources (HR) function has evolved to incorporate digital world in its design thinking, strategizing and implementing. The hotel industry is one of the sectors that move at an unbelievably fast-pace in developing countries due to an increase in the tourism industry. Yet, on the contrary, the hotel industry is heavily increasing the burden on the environment. Thus, because of the huge number of environmental issues that hotel industry has faced over time, there is an increasing force to pay a correct reaction to environmental issues and implementing sustainable business practices. These practices incorporate the adoption of digital human resource management (HRM) practices, offering a win–win situation for the hotel and its stakeholders. This paper examining the relationship between digital HRM practices (digital recruitment and selection, digital training and development, digital performance appraisal, and digital compensation) and environmental performance in the hotel industry. Based on our analysis, the study revealed that digital HRM has a remarkable impact on environmental performance within hotel industry.
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Chang, Tsen-Yao, and Yi-Chung Chen. "Creating a System of IOE-PDPTA to Bridge Tourists and Poster Designers: An Application of IOE in Personalized Poster Design." Systems 10, no. 4 (August 19, 2022): 125. http://dx.doi.org/10.3390/systems10040125.
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Current applications of the Internet of Everything (IOE) tend to ignore the components of people, processes, and data. In the current study, we propose applying the IOE to design, the core of which comprises people, processes, and data. Evidence of the positive effects of the IOE on design indirectly confirms the value of these three components. The selected case study was poster designs advertising personalized travel. We reported the process of how the system was created, followed by an actual simulation with the personalized poster design for the tourism promotion for the city of Tainan, Taiwan. This study created an IOE framework and applied relevant algorithms to collect data to target design issues. Data were collected, converted, and cleaned through multiple physical objects, internet resources, and output keywords, which were then provided to three designers with various backgrounds and styles. Posters were designed based on the keywords identified. As the targeted audience, 124 respondents were recruited to participate in a survey on the finished posters. Analysis of this feedback demonstrated the validity of the proposed framework.
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Wang, Tianyang. "An Intelligent Passenger Flow Prediction Method for Pricing Strategy and Hotel Operations." Complexity 2021 (March 18, 2021): 1–11. http://dx.doi.org/10.1155/2021/5520223.
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Hospitality industry plays a crucial role in the development of tourism. Predicting the future demand of a hotel is a key step in the process of hotel revenue management. Hotel passenger flow prediction plays an important role in guiding the formulation of hotel pricing and operating strategies. On the one hand, hotel passenger flow prediction can provide decision support for hotel managers and effectively avoid the waste of hotel resources and loss of revenue caused by the loss of customers. On the other hand, it is the guarantee of the priority occupation of business opportunities by hotel enterprises, which can help hotel enterprises adjust their operation strategies reasonably to better adapt to the market situation. In addition, hotel passenger flow prediction is helpful to judge the overall operating condition of the hotel industry and assess the risk level of the hotel project to be built. Hotel passenger flow is affected by many factors, such as weather, environment, season, holidays, economy, and emergencies, and has the characteristics of complex nonlinear fluctuation. The existing demand predicting methods include linear methods and nonlinear methods. The linear prediction methods rely on the stability of environment and time series, so they cannot completely simulate the complex nonlinear fluctuations characteristics of hotel passenger flow. Traditional nonlinear prediction methods need to improve the prediction accuracy, and they are difficult to deal with the increasing data of hotel passenger flow. Based on the above analysis, this paper constructs a deep learning prediction model based on Long Short-Term Memory (LSTM) to predict the number of actual monthly arrival bookings. The number of actual monthly arrival bookings can reflect the actual monthly passenger flow of a hotel. The prediction model can effectively reduce the loss caused by cancellation or nonarrival of bookings due to various reasons and improve the hotel revenue. The experimental part of this paper is based on the booking demand dataset of a resort hotel in Portugal from July 1, 2015, to August 31, 2017. Artificial neural network (ANN) and support vector regression (SVR) are built as benchmark models to predict the number of actual monthly arrival bookings of this hotel. The experimental results show that, compared with the benchmark models, the LSTM model can effectively improve the prediction ability and provide necessary reference for the hotel's future pricing decision and operation mode arrangement.
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Xu, Zhiwen, and Fang Xie. "Research on Collaborative Optimization Model of Tourism Resources and Highway Network Based on IoT Network and Deep Learning." Security and Communication Networks 2022 (March 30, 2022): 1–10. http://dx.doi.org/10.1155/2022/1637348.
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With the development of tourism, people's demand and concern for tourist transportation are increasing. Integrating expressway resources into the tourism transportation network is the current trend and direction of expressway network planning. With the rapid development of the Internet, people can easily get the information resources they want, but at the same time, the problem of information overload also arises. The depth of highway access is insufficient, there is a lack of systematic consideration of tourist resources in the area, a systematic tourism network has not been developed, and tourism resources are inaccessible. These issues have stifled regional tourism's fast growth, necessitating research into the convergence of tourist resource development and highway network optimization. The building of highway layouts and the growth of the tourist sector have reached a point where they interact and impact one another, and the degree of this contact has progressively risen. However, there is still a significant disparity in the degree of cooperation across areas. This paper considers the collaborative optimization of tourism resource development and highway network optimization, analyzes its impact on traffic volume distribution, introduces the two-level programming model of collaborative optimization, and determines that the goal of the upper model is to maximize social net income. It also considers the collaborative optimization of tourism resource development and highway network optimization on the basis of clarifying the game relationship between planning decision-makers and traffic travel and considers the collaborative optimization of tourism resource development and highway network optimization on the basis of in-depth learning. For the total investment of tourism construction projects, the time cost saved by highway network optimization, and the total tourism revenue, the lower-level model aims to minimize the travel time of a single user. This paper shows that the layout planning of the regional tourism highway network from the perspective of tourism resources can improve the accessibility of regional high-quality tourism resources and meet the requirements of the coordinated development of highway tourism and resources.
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Li, Cuihan, and Shaojun Lyu. "Machine Learning-Based Classification and Evaluation of Regional Ethnic Traditional Sports Tourism Resources." Mobile Information Systems 2022 (August 21, 2022): 1–9. http://dx.doi.org/10.1155/2022/8404931.
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Traditional sports in ethnic minority regions are a valuable cultural heritage. Regional ethnic traditional sports are not only a sports business but also a tourism resource. The construction of a reasonable regional sports tourism resource classification model is fundamental to the development of sports tourism resources. However, the existing sports tourism resources classification is mostly constructed manually based on the national standard tourism resources classification system. The efficiency and accuracy of the traditional manual classification are poor and cannot reflect the characteristics of regional ethnic traditional sports tourism. In order to solve the above problems, a machine learning-based classification method for regional ethnic traditional sports tourism resources is proposed. Firstly, the relevant concepts and characteristics of traditional sports tourism resources are introduced. Then, taking the development of traditional sports of ethnic minorities in Yunnan Province as the research object, SWOT analysis, literature, interview, questionnaire, and mathematical statistics are used to investigate and analyse the overall status of the development of regional ethnic traditional sports. Secondly, a classification evaluation method based on an optimised back-propagation (BP) neural network is proposed. Finally, the optimised BP neural network model is applied to the classification of traditional sports tourism resources. The experimental results show that the optimised BP model performs well in the classification of traditional sports tourism resources, verifying its effectiveness.
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Xie, Weiguang, and Yunchi Ma. "Tourism Resource Evaluation and Countermeasures Based on Network Communication and TOPSIS Algorithm." Wireless Communications and Mobile Computing 2021 (November 11, 2021): 1–13. http://dx.doi.org/10.1155/2021/8172282.
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Tourism resources are the basis of tourism activities. Affected by traditional values and the reusable characteristics of tourism resources, tourism resources have been regarded as worthless for a long time. In recent years, people have begun to establish correct values of tourism resources. However, due to the particularity of tourism resources, the issue of their value evaluation has been controversial. Value evaluation is value recognition or evaluative recognition. In order to develop a cost-effective method to obtain tourism resource evaluation and countermeasures, this paper has done a research on tourism resource evaluation and countermeasures based on network communication and the TOPSIS algorithm. For this reason, we selected a tourist attraction to conduct survey experiments. During the experiment, network communication was used to realize the exchange and sharing of their information between different people through specific media. At the same time, the TOPSIS method is used in the selection of the plan, based on the calculation results of the combined weighted TOPSIS, and the SPSS is used for the principal component factor. The suggestion and the exact conditions of the local tourism resources are combined to establish a model of the tourism resource evaluation system in this place. The experimental results show that the relative importance of viewing value is prominent in the evaluation of tourism resource value. Its weight reaches 0.509, and its popularity weight is 0.257. The evaluation and countermeasures of tourism resources based on network communication and TOPSIS algorithm are effective.
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Kan, Xinglong, and Lin Li. "Comprehensive Evaluation of Tourism Resources Based on Multispecies Evolutionary Genetic Algorithm-Enabled Neural Networks." Computational Intelligence and Neuroscience 2021 (December 14, 2021): 1–11. http://dx.doi.org/10.1155/2021/1081814.
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With the development of neural network technology and the rapid growth of China’s tourism economic income at this stage, the research on the comprehensive evaluation of tourism resources has gradually emerged. Based on this, this paper studies the neural network comprehensive evaluation model based on multispecies evolutionary genetic algorithm and designs the neural network analysis system of influencing factors of tourism resources based on multispecies evolutionary genetic algorithm. The collection and acquisition of data information are realized from the aspects of resource income status, tourism development investment, and sustainability evaluation in the tourism area. The multispecies evolutionary genetic algorithm is used for comprehensive analysis and evaluation. The algorithm can realize the complex analysis and comprehensive evaluation of the core influencing factors of neural network. Accurate analysis and evaluation were carried out according to the different characteristics of tourism resources and the current situation of tourism income. The results show that the neural network comprehensive evaluation model based on multispecies evolutionary genetic algorithm has the advantages of high practicability, good sorting effect of variable ratio, and good data integration. It can effectively analyze and compare the comprehensive evaluation factors affecting tourism resources in different ratios.
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KC, Birendra, Duarte B. Morais, M. Nils Peterson, Erin Seekamp, and Jordan W. Smith. "Social network analysis of wildlife tourism microentrepreneurial network." Tourism and Hospitality Research 19, no. 2 (June 30, 2017): 158–69. http://dx.doi.org/10.1177/1467358417715679.
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Social networks are an important element of entrepreneurship. Entrepreneurs rely on social networks to access ideas, information, and resources to facilitate their entrepreneurial process. Strong and weak ties influence the entrepreneurial process in unique ways. This study utilized social network analysis approach to examine wildlife tourism microentrepreneurship through in-person structured interviews with 37 microentrepreneurs from North Carolina’s Pamlico Sound Region. Specifically, this study examined the extent of network ties, the type of support received from those network ties, and the process of creating and maintaining the business network ties. Weak ties were more prevalent than strong ties. Support was received in terms of marketing and advertising, information sharing, and product sponsorship. Weak ties were established through professional workshops and seminars or while working in the same territory, whereas reciprocity, togetherness, communication, and trust were identified as major factors to maintain weak ties. This study suggests that cognitive social capital factors (e.g. reciprocity, togetherness, and trust) can be highly important toward effective use of social networks, as well as to ensure entrepreneurial success.
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Wang, Jun. "Deep LSTM Network for Word-of-Mouth Management of Rural Tourism." Scientific Programming 2022 (June 25, 2022): 1–9. http://dx.doi.org/10.1155/2022/2511825.
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With the development of tourism, rural tourism as an industry with great development potential is gradually attracting urban consumers. Considering the differences between different types of rural tourism, I refine it at the visitor level to balance the differences in visitor groups of different types of rural tourism. I propose an improved LSTM framework for rural tourism theme feature extraction. I chose a deep neural network approach to decompose the diverse rural tourism word of mouth into different tourism themes. Then, through tourist feedback data preprocessing, destination theme detection, rural tourism type classification, and word-of-mouth management prediction network, I finally achieve an accurate grasp of rural tourism word-of-mouth features and develop corresponding tourism management strategies. To test the performance of our method, I established different types of rural tourism databases through field surveys for experimental validation. The experimental results show that our method achieves over 90% accuracy in review sentiment detection.
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Hsu, Cathy H. C., Zhaoping (George) Liu, and Songshan (Sam) Huang. "Acquiring Intangible Resources through Entrepreneurs’ Network Ties." Cornell Hospitality Quarterly 56, no. 3 (January 9, 2014): 273–84. http://dx.doi.org/10.1177/1938965513518659.
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Ryzhenko, Leonid I., and Marina Y. Sheresheva. "The Siberian Trakt – a project that forms a tourism network." Worldwide Hospitality and Tourism Themes 10, no. 4 (August 13, 2018): 487–97. http://dx.doi.org/10.1108/whatt-04-2018-0025.
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Purpose This paper aims to explain the development of the Siberian Trakt (Siberian Way) project and discuss methodological, instrumental and technological questions related to its implementation. The paper also aims to explore the project’s ability to form a collaborative tourism network that boosts tourism development in the unique Siberian regions of Russia located in the very center of the Eurasian continent. Design/methodology/approach A multidisciplinary view and case approach are the basic methods chosen to illustrate and analyze the prospects for tourist network development in Siberia within the framework of the Siberian Trakt project. Findings The findings reveal the opportunities arising from the project. The Siberian Trakt helps to combine the resources of surrounding territories, brings over external resources to the investment foundations of the project and thus adds to the development of settlements that are participants in the project. Originality/value The main output of this paper is confirmation of useful approaches in tourism network development along the Siberian Trakt, which historically connected Central Russia with Siberia and the Far East. On the basis of the experience of the Siberian Trakt project, the problems and prospects of Siberia as new tourism destinations are shown, as well as the role of small settlements as important nodes of the regional tourism network.
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PHOOCHINDA, Wisakha. "Development of Community Network for Sustainable Tourism based on the Green Economy Concept." Journal of Environmental Management and Tourism 9, no. 6 (February 3, 2019): 1236. http://dx.doi.org/10.14505//jemt.9.6(30).13.
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The “Green Economy” concept is a tool that leads to the guideline to develop sustainable economy in parallel with social development, quality of life, and the balanced conservation of natural resources and the environment (Office of Agricultural Economics, 2013). The concept of economic development leading to sustainable development or Green Economy is a concept of business operation based on low carbon emission, reduction of energy consumption, promotion of efficient use of resources, leading to business growth, social development, reduced destruction of the environment and the ecosystem diversity.
Tourism is a form of service business that is crucial to Thailand’s economic and social development. It has high potential to accommodate free trade and demand of global market in accordance with the National Economic and Social Development Plans. Moreover, it generates employment and income from foreign currency. However, if the rapid growth of tourism lacks good management, the environment will be directly affected. For example, energy consumption in communication and transport sectors, trips, hotel rooms, as well as garbage and waste from tourism activities. Tourism industry consists of numerous types of business, including direct, indirect, and supporting businesses, service purchased by both Thai and foreign tourists, leading to spending flows that benefit many jobs, and social stability at communal, local, and national levels (Chantouch Wannathanom 2009, 101). It illustrates the role of community tourism in generating widespread employment and occupation such as local handicrafts, agricultural and natural resources-based products, to stimulate production and maximum use of the country’s resources. At present, the government has formulated clear policy to promote and support tourism with directly responsible agencies at regional, national, and particularly community levels. The agencies with important role in community tourism include provincial administrative organizations, sub-district administrative organizations or municipalities, and community enterprises. Moreover, local administrative organizations and especially community enterprises also have the authority, duty, and role to promote and manage tourism leading to the development of sustainable tourism. Therefore, the good management of tourism business should grow in parallel with efficient environmental management from all relevant sectors especially community tourism. The management starts from small units including people, community leaders, local administrative organizations, and community enterprises. It will succeed if all stakeholders possess appropriate knowledge, if tourism development is aligned with strategic plans on provincial development, development plans of local administrative organizations, and implementation plans derived from joint planning, cooperation, awareness and conscience of community, organizations in community, and community enterprises. The community enterprises supporting Thailand’s tourism activities are scattered in all regions in the form of grouping of local wisdom, community culture, raw materials, or various resources to increase value added of products and services to generate income to the community. The management of community network for sustainable tourism based on the Green Economy is to study potentials and limitations of Thailand’s tourist destinations, role of participation of community network from tourism management, analyze knowledge and impact from operation, as well as recommendations of the guideline to develop sustainable tourism based on the Green Economy using the base of main resource which is community network allowing one to know about the context of preparedness, potentials, and limitations of community to manage tourism. The research will result in community network with systematic management, network format, or guideline to connect the network of stakeholders, resulting in management of sustainable tourism, and community’s self-reliance. Tourism entrepreneurs, both local and non-local, can use the information to develop tourist destinations in line with national policy. It also benefits those involved in formulation of policy, plans, or products for economic, social, and environmental development by the community in sustainable tourist destinations.
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Liu, Shiyan, and Yu Hu. "Intelligent Development of Tourism Resources Based on Internet of Things and 5G Technology." Advances in Multimedia 2022 (September 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/2202414.
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In order to improve the effect of intelligent development of tourism resources, this paper combines the Internet of Things technology and 5G technology to carry out intelligent development of tourism resources to improve the recommendation effect of modern tourism resources. Meanwhile, this paper analyzes the basic knowledge of array signal DOA estimation to get the definition of narrowband signal. Simultaneously, this paper proposes a subspace-based DOA estimation algorithm based on the actual needs of tourism resource management, and uses the observed array data to construct a covariance matrix. Then, this paper decomposes the covariance matrix, and then performs DOA estimation. In addition, this paper constructs an intelligent development system of tourism resources based on the Internet of Things and 5G technology. It can be seen from the experimental research that the intelligent development system of tourism resources based on the Internet of Things and 5G technology proposed in this paper has good tourism resource management and development effects.
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Hou, Tianchen. "Research on Management Efficiency and Dynamic Relationship in Intelligent Management of Tourism Engineering Based on Industry 4.0." Computational Intelligence and Neuroscience 2022 (January 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/5831062.
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The digital age of artificial intelligence marks the rapid development of tourism engineering and the gradual improvement of intelligent management theory. This study aims to solve the problems of low efficiency of dynamic relationship analysis and low data utilization in traditional intelligent management methods of tourism engineering. This work studies the dynamic optimization model of tourism engineering management theory based on the artificial intelligence data analysis model and designs the dynamic analysis model of tourism engineering management data based on the convolution neural network. The model can collect dynamic data information of tourism management from many aspects and can also be used to study and analyze human behavior patterns based on the convolutional neural network algorithm. According to the human behavior data analysis model and convolution neural network algorithm, this study formulates the real-time management data scheme of tourism engineering and better extracts the characteristic information of the dynamic data of tourism engineering management. The results show that the topology optimization model of tourism intelligent management based on the convolutional neural network achieves high feasibility, high data accuracy, and high response speed. It can improve the collaborative coupling relationship between management efficiency and dynamic data in tourism engineering management based on big data analysis technology. It realizes the effective combination of tourism management, digital management, and artificial intelligence algorithm.
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Niu, Wei. "Collaborative Optimization Model of Highway Network with Tourism Resources as the Target Node." Mobile Information Systems 2022 (August 21, 2022): 1–11. http://dx.doi.org/10.1155/2022/8720801.
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In order to improve the collaborative optimization effect of tourism resources and highway network, this paper combines deep learning algorithm to construct a collaborative optimization model of tourism resources and highway network, and adopts an algorithm based on continuous convex approximation. By iterating the optimal solution obtained each time, a high-quality approximate beamforming matrix and artificial noise covariance matrix can finally be obtained, which eliminates the problem that the traditional algorithm cannot solve the noise. Moreover, this paper introduces artificial noise to prove that the rank relaxation is compact by considering the corresponding minimization power problem. The simulation results show that the proposed scheme and approximation algorithm can obtain better system security and speed than the existing literature, and there are certain improvements compared with the traditional method, so the effectiveness of the method in this paper is verified by simulation experiments.
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Jiang, Xue, Nan Li, and Shuhan Man. "Spatial Performance Measurement and the Resource Organization Mechanism of Rural Tourism Resources in Developing Countries: A Case Study on Jilin Province, China." Sustainability 14, no. 23 (December 6, 2022): 16316. http://dx.doi.org/10.3390/su142316316.
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Many developing countries are challenged with the revival of rural vitality against increasing urbanization. Rural tourism is effective in enhancing the countryside’s vitality. Previous studies used qualitative methods to explore the spatial organization of resources, but it was difficult to quantify the effective organization of tourism resources. Taking the example of Jilin Province, China, this study quantitatively measured the use of tourism resources in rural areas at the initial stage and created a developmental model to organize tourism resources more effectively. The organization mechanism has specific reference significance for the optimization model of upgrading rural tourism in developing countries. Spatial performance measurement was used to evaluate the spatial performance of rural tourism resources in the case area. The specific research included analyzing the coupling mechanism of rural tourism resources, constructing an evaluation system, analyzing a resource regulation mechanism, and establishing a rural tourism network model through a complex network analysis method and dynamic simulation. According to the spatial performance analysis, the allocation and linkage of various tourism-related elements are not yet mature. The structural restructuring mode in Jilin Province is mainly divided into internal and external dual-drive guidance, secondary integration, and a characteristic linkage mode. An organizational mechanism for optimizing tourism resources was proposed, which could be referred to for evaluating and optimally organizing the tourism resources in the rural areas of developing countries.
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Dong, Hanlin. "Design and Management of Control System for Rural Tourism Network Information Based on MVC Model." Mobile Information Systems 2021 (July 10, 2021): 1–7. http://dx.doi.org/10.1155/2021/8086157.
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Tourism has developed into an industry with a powerful momentum of development in the world today. With the development of information technology, information has become a powerful driving force to promote the prosperity and development of the tourism industry and the entire society. The introduction of the tourism information system can significantly improve the service level, operation level, and management level of the tourism industry, thereby accelerating tourism development. The research of this article is to help villages establish a set of MVC-based rural tourism information service systems that can promote the development of rural tourism. First of all, this article conducts demand research on tourists, rural scenic spots, and ancient villages to discover the problems in rural tourism development. Secondly, this paper combines the problems existing in constructing the various subsystems of the rural tourism information system, combined with the fuzzy comprehensive evaluation method. In this paper, we propose the rural tourism system architecture based on MVC. The system architecture consists of the user layer, service layer, business layer, and data layer. It describes the system’s implementation process from two aspects: the system’s interface design and its deployment model. Finally, the network topology structure of the rural tourism information service system based on MVC is drawn. Finally, the system’s deployment is implemented according to the network topology structure.
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Banevičius, Šarūnas. "Relevant Management Aspects of Health Tourism Networking." Socialiniai tyrimai 42, no. 2 (December 31, 2019): 30–42. http://dx.doi.org/10.21277/st.v42i2.270.
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The article deals with the process, concept, system and management aspects of health tourism networking. Addressing the problem of research: how to manage the networking process in health tourism. Summarizing the analysed scientific literature it can be stated that the participants of the network are not analysed individually. They are analysed in relation to other network participants, thus connecting them to a common system. Connections (links, interactions, contacts) between participants are a kind of interaction between two or more participants in a network when resources are transmitted over specific channels. Relationship is a concept that encompasses both form and content aspects. The dyadic level explores the nature of the connection between two or more network nodes. Examining the aspects of networking process management highlights the importance of strategic management and synergies with management theories: Fayol (administrative theory); agent-contract theory for networking partnerships. The aspects of management theories have applicability in the management of health tourism networking, and the decision-making process plays a crucial role – both individual and group decision making begins with a set of information that defines the situation, assesses expected benefits, anticipates possible choices, and possible consequences. The decision-making process ends with the choice of a specific alternative. By applying the CMO configuration model to the decision making process, a systematic solution mechanism is created for each problematic situation. In order for the Lithuanian health tourism segment and its organizations to function as an integrated system and develop along the path of sustainable development, it is expedient to develop a common strategy in the planning process, envisaging the vision, goals and objectives of Lithuanian health tourism and ensuring a feedback mechanism. To implement this process, it is recommended that a formal health tourism network (involving health service organizations, the scientific community) would be established, based on participant agreements. The aim of this network is to create and develop a variety of health tourism services. The resulting networks are formalized through contracts, legal acts, memoranda of understanding, general agreements, so the relationships, functions and responsibilities of their participants are clearly defined.
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Hu, Ao, Zhen Ming He, and Cai Yin. "Design and Implementation of Tourism Management Information System." Applied Mechanics and Materials 543-547 (March 2014): 3083–87. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3083.
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The development of geographic information technology promotes the progress of tourism information. The application of information technology to the management of tourism information can improve the service standard and management quality of tourism industry, which consequently accelerates the development of tourism industry. The paper introduces the design of Tourism Management Information System (TMIS), and applies Baidu Map API and HTML5 based on B/S structure for web development to realize the basic operation of electronic maps, attractions query, bus query, surrounding query, travel by car, address matching, and so on. TMIS based on B/S structure shares resources through the network with low cost, high efficiency of management and development, fast speed of updating information, which can provide timely and accurate information for the tourists.
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Pambudi, Sulung Satriyo Irkham, Muhammad Luthfil Hakim, and Very Yudha Lesmana. "Network Governance Towards Development Policy of Podokoyo Tourism Village in Pasuruan regency." Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning 6, no. 2 (August 31, 2022): 236–48. http://dx.doi.org/10.36574/jpp.v6i2.339.
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This article explores the network governance in the development of the Podokoyo Tourism Village, Pasuruan Regency. This study aims to analyze the application of the elements of network governance, which include trust, network goal consensus, need for network-level competencies, the number of participants, outputs, and outcomes of tourism Village development. The study results identify three achievements during the Podokoyo Tourism Village development network, such as the success of having superior Village products, increasing the capacity of Podokoyo Village's human resources in tourism management, and receiving the title of Maslahat Village. Among the obstacles is the lacking role of government elements, particularly the Tourism and Culture Agency and Community and Village Empowerment Agency.
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Higham, James. "Development of Computer-Mediated Teaching Resources for Tourism Distance Education." Journal of Teaching in Travel & Tourism 2, no. 2 (June 2002): 1–20. http://dx.doi.org/10.1300/j172v02n02_01.
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Chen, Chi, Chao Chen, and Xiao Long Sun. "Application of GIS Digital Technology in Planning of Tourism Scenic Spot." Applied Mechanics and Materials 204-208 (October 2012): 2796–99. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.2796.
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Rationalization of modern tourist scenic spot planning is very important to the development of the whole scenic area, and the rational planning of tourism resources of scenic area is based on the full development of resources, then making the systems be optimized in the scenic area. When applying GIS technology to urban tourism scenic spot, the distribution of tourism resources will be more reasonable. The application of GIS network analysis function on traffic planning and underground pipeline planning, which achieve programming optimization, and then doing three-dimensional visualization for network planning, clearly analysis the planning rationality. The superiority of GIS spatial analysis functions makes the tourist scenic spot planning optimization in low-cost, and also provides a good platform for the operation and management of scenic area.
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Li, Min, Rong Li, and Yongcheng Wu. "Dynamic Monitoring Method of Rural Tourism Popularity Based on Big Data Management Technology." Mathematical Problems in Engineering 2022 (July 13, 2022): 1–8. http://dx.doi.org/10.1155/2022/9086946.
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Great achievements have been made in the construction of new countryside, and rural tourism is an emerging industry. Rural tourism is an industry developed during the construction of new countryside, which promotes the development of rural economy. More and more people are going to the countryside to experience the life and scenery of the countryside. For managers of rural tourism, the dynamic monitoring of rural tourism is an important part. It can monitor the participation of tourists, which also can realize the monitoring of tourist satisfaction with attractions. However, managers only rely on traditional means to dynamically monitor the development of rural tourism, which consumes a lot of human and financial resources. This research uses big data technology to realize the dynamic monitoring and management of rural tourism. According to existing studies, big data technology can dynamically monitor the heat of rural tourism, providing better tourism experience and participation for tourists. Long short-term memory (LSTM) recurrent neural network and convolutional neural network (CNN) can predict the dynamic development process of rural tourism industry well, and the dynamic values of related factors have a good linear correlation.
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Li, Xiuxia. "Analysis and positioning of geographic tourism resources based on image processing method with Ra-CGAN modeling." AIMS Geosciences 8, no. 4 (2022): 658–68. http://dx.doi.org/10.3934/geosci.2022036.
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<abstract> <p>People's diversified tourism needs provide a broad development space and atmosphere for various tourism forms. The geographic resource information of the tourism unit can vividly highlight the unit's geographic spatial location and reflect the individual's spatial and attribute characteristics. It is not only the main goal of researching the information base of tourism resources, but it is also the difficulty that needs to be solved at present. This paper describes the use of image processing technology to realize the analysis and positioning of geographic tourism resources. Specifically, we propose a conditional generative adversarial network (CGAN) model, Ra-CGAN, with a multi-level channel attention mechanism. First, we built a generative model G with a multi-level channel attention mechanism. By fusing deep semantic and shallow detail information containing the attention mechanism, the network can extract rich contextual information. Second, we constructed a discriminative network D. We improved the segmentation results by correcting the difference between the ground-truth label map and the segmentation map generated by the generative model. Finally, through adversarial training between G and D with conditional constraints, we enabled high-order data distribution features learning to improve the boundary accuracy and smoothness of the segmentation results. In this study, the proposed method was validated on the large-scale remote sensing image object detection datasets DIOR and DOTA. Compared with the existing work, the method proposed in this paper achieves very good performance.</p> </abstract>
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Casanueva, Cristobal, Angeles Gallego, and Maria Angeles Revilla. "Access and mobilization of network resources and competitive advantage in hotels." International Journal of Contemporary Hospitality Management 27, no. 6 (August 10, 2015): 1279–300. http://dx.doi.org/10.1108/ijchm-03-2013-0144.
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Purpose – This paper aims to advance a model that will explain how hotel firms access and mobilize external resources. Hotel operators and firms need to complement their internal resources with external resources, which they can access through their personal and organizational ties, so as to compete and to achieve success. Design/methodology/approach – A framework is proposed, on the basis of the resource-based view and network theory, to explain the process of access and mobilization of available external resources thanks to the professional and social ties of the managers of hotel firms. Findings – This framework distinguishes between access to network resources and their mobilization. This paper introduces network resource mobilization capability as an adaptive capability of managers and employees that can improve hotel firm performance. Previous experience and contextual factors such as the type of property and the management style all influence the nature of this capability. Practical implications – This work proposes a repertory of relevant resources in hotels and the preparation of an instrument to measure access to those resources and their mobilization through social capital. It also proposes the need to develop a new dynamic capability: the capability to mobilize network resources in hotel firms through their managers. Finally, it proposes that social capital is a valuable resource for both hotel firms and their managers. Originality/value – This theoretical approach makes a key distinction between access to and mobilization of network resources, which leads to a better understanding of the potential of the individual social capital of hotel managers. Network resource mobilization capability is introduced as an adaptive capability of managers.