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1
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.
Повний текст джерелаАнотація:
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.
2
Daimon, Takayuki. "Mobility and Learning Through Tourism." International Journal of Mobile and Blended Learning 14, no. 1 (January 2022): 1–14. http://dx.doi.org/10.4018/ijmbl.297972.
Повний текст джерелаАнотація:
The perspective of mobile learning research has transitioned from using mobile technology for education to learning as a human and non-human practice surrounding mobility. This study exemplifies tourism in an increasingly mobile society as a mobile learning practice. Specifically, the learning of children during family travels and the mutual organization of human and non-human interactions are emphasized. Interviews with twelve Japanese parents revealed that children’s touristic learning encompassed the translation of various actors in tourist destinations and the spatiotemporal creation of a knowledge network different than that of settled areas and textbooks. Family tourism suspended cultural norms by moving children to boundaries, enabling them to learn beyond the usual constraints. Moreover, this article contends that children’s learning through tourism comprised negotiations with parents before tourism, accidental learning along the way, and reconfiguration of life afterward.
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Trivun, Veljko, Vanja Kenjic, and Fatima Mahmutcehajic. "LIFE-LONG LEARNING STRATEGIES IN TOURISM AND HOTEL INDUSTRY." Tourism and hospitality management 14, no. 1 (2007): 171–84. http://dx.doi.org/10.20867/thm.14.1.15.
Повний текст джерелаАнотація:
Tourism is the phenomenon of great social and economic importance. It is the biggest and the fastest growing industry which is developing 1.5 faster than the other industries. Additionally, tourism represents a mass movement of people which makes strong impact on many destinations, traditional or emerging ones. This have both economic and social influence on developing destinations, creating employment opportunities and economic benefits for those involved in tourism activities. Tourism development has positive influence on infrastructure development, as well as on the service industry (especially SMEs related to tourism). International economic impacts of tourism are numerous. Countries are attracting tourists and tour operators to use services, which consequently contribute to its balance payment. Services, beside tourist attractions, natural and cultural diversity, create visitors’ opinion about destination. Changing nature of tourism (moving from mass tourism to niche tourism and new experiences) has a strong influence on educational process and skills which service providers in tourism have to attain. The intention of this paper is to put a light on the connection between the fast-changing tourism trends and educational processes which are crucial component in providing market with capable and efficient human resources. Be it tourist guide or agent, hotel manager, handicrafts provider or restaurant owner, person involved in tourism is under the pressure to cope with changes and adjust to new trends. Which strategies should companies and individuals use to gain or update their knowledge? Could life-long learning strategies support their efforts in tourism and provide answers to these questions?
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Oxenswärdh, Anette, Camilla Saggiomo, Aida Alonso, Iida Pyykkö, Lena Rothe, Patrycja Metlewicz, and Elena Kropinova. "Learning Processes towards Destination Development." E3S Web of Conferences 291 (2021): 06004. http://dx.doi.org/10.1051/e3sconf/202129106004.
Повний текст джерелаАнотація:
Sustainable development of tourist destinations is based on the key principles of sustainable development in general taking into consideration the characteristics of tourism as an activity, in particular. In the event that a tourist destination has an island location, this becomes an additional factor imposing even more stringent requirements for sustainable development due to even greater vulnerability of isolated ecological systems. At the same time, the human factor becomes decisive, because the development of a tourist destination depends on how the providers of tourism services comply with the principles of sustainable development. The purpose of our study is to identify the willingness to follow the principles of sustainable development of a tourist destinations among entrepreneurs providing tourism services, using innovative methods of problem-solving learning. During the study, the following methods were used: bibliographic, analytical, in-depth survey method, etc. The methodology implemented for this study was qualitative survey where students reflected on their learning processes. The results show the importance of university students cooperating with actors within tourist destination on both theoretical and practical issues of sustainability to develop the destination. This cooperation enables the most important learning outcomes for both parties on sustainability. Heterogeneity of the group, and methodology of Design Thinking increases the creativity in problem solving.
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Ren, Xiaoling, Yanyan Li, JuanJuan Zhao, and Yan Qiang. "Tourism Growth Prediction Based on Deep Learning Approach." Complexity 2021 (July 14, 2021): 1–10. http://dx.doi.org/10.1155/2021/5531754.
Повний текст джерелаАнотація:
The conventional tourism demand prediction models are currently facing several challenges due to the excess number of search intensity indices that are used as indicators of tourism demand. In this work, the framework for deep learning-based monthly prediction of the volumes of Macau tourist arrivals was presented. The main objective in this study is to predict the tourism growth via one of the deep learning algorithms of extracting new features. The outcome of this study showed that the performance of the adopted deep learning framework was better than that of artificial neural network and support vector regression models. Practitioners can rely on the identified relevant features from the developed framework to understand the nature of the relationships between the predictive factors of tourist demand and the actual volume of tourist arrival.
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Chen, Jingyao, Jie Yang, Shigao Huang, Xin Li, and Gang Liu. "Forecasting Tourist Arrivals for Hainan Island in China with Decomposed Broad Learning before the COVID-19 Pandemic." Entropy 25, no. 2 (February 12, 2023): 338. http://dx.doi.org/10.3390/e25020338.
Повний текст джерелаАнотація:
This study proposes a decomposed broad learning model to improve the forecasting accuracy for tourism arrivals on Hainan Island in China. With decomposed broad learning, we predicted monthly tourist arrivals from 12 countries to Hainan Island. We compared the actual tourist arrivals to Hainan from the US with the predicted tourist arrivals using three models (FEWT-BL: fuzzy entropy empirical wavelet transform-based broad learning; BL: broad Learning; BPNN: back propagation neural network). The results indicated that US foreigners had the most arrivals in 12 countries, and FEWT-BL had the best performance in forecasting tourism arrivals. In conclusion, we establish a unique model for accurate tourism forecasting that can facilitate decision-making in tourism management, especially at turning points in time.
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Nguyen Thi, Chau. "Japanese cultural heritage travel and learning experience for Vietnam." Journal of Science Social Science 66, no. 2 (May 2021): 64–72. http://dx.doi.org/10.18173/2354-1067.2021-0026.
Повний текст джерелаАнотація:
Right from the decades of the early twentieth century, the Japanese Government has focused on preserving traditional cultural heritage. Currently, in Japan, there are hundreds of ancient and historic areas that have become famous cultural tourist spots. Japan has turned cultural heritage tourism into a brand of this country's tourism industry and has achieved many successes. The article outlines and analyzes Japan's cultural heritage tourism development status and policy and lessons for Vietnam.
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Laaroussi, Houria, Fatima Guerouate, and Mohamed Sbihi. "Deep learning approach and topic modelling for forecasting tourist arrivals." International journal of electrical and computer engineering systems 14, no. 4 (April 26, 2023): 411–19. http://dx.doi.org/10.32985/ijeces.14.4.5.
Повний текст джерелаАнотація:
Online review data attracts the attention of researchers and practitioners in various fields, but its application in tourism is still limited. The social media data can finely reflect tourist arrivals forecasting. Accurate prediction of tourist arrivals is essential for tourism decision-makers. Although current studies have exploited deep learning and internet data (especially search engine data) to anticipate tourism demand more precisely, few have examined the viability of using social media data and deep learning algorithms to predict tourism demand. This study aims to find the key topics extracted from online reviews and integrate them into the deep learning model to forecast tourism demand. We present a novel forecasting model based on TripAdvisor reviews. Latent topics and their associated keywords are captured from reviews through Latent Dirichlet Allocation (LDA), These generated features are then employed as an additional feature into the deep learning (DL) algorithm to forecast the monthly tourist arrivals to Hong Kong from USA. We used machine learning models, artificial neural networks (ANNs), support vector regression (SVR), and random forest (RF) as benchmark models. The empirical results show that the proposed forecasting model is more accurate than other models, which rely only on historical data. Furthermore, our findings indicate that integration of the topics extracted from social media reviews can enhance the prediction.
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MAKENOV, Chingiz, Aina NARYNBAYEVA, Nina PETRICHSHEVA, Meruyert UMIRZAKOVA, and Manuel Fernandez GRELA. "Tourism and Educational Cluster in Tourism Industry." Journal of Environmental Management and Tourism 14, no. 6 (September 29, 2023): 2510. http://dx.doi.org/10.14505/jemt.v14.6(70).03.
Повний текст джерелаАнотація:
The development of a tourist and educational cluster can play a significant role in ensuring the sustainability of universities. By collaborating with tourism industry partners to undertake research projects that address sustainability, tourism trends, and emerging educational needs, both parts will gain in terms of competitiveness. There is a close relationship between education and tourism, due to the common goals. This article shows the reasons for the interaction between education and tourism and the results of their clustering. A methodological approach to the definition of the concept of ‘tourist-educational cluster’ is proposed. The contribution of the tourism industry to the development of theories and methods of active learning is noted. The potential of using pedagogical technologies in promoting tourism products is shown.
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González-Herrera, Manuel-Ramón, and Silvia Giralt-Escobar. "Tourism Experiential Learning through Academic Fieldtrips in Higher Education." Tourism 69, no. 4 (November 25, 2021): 471–93. http://dx.doi.org/10.37741/t.69.4.1.
Повний текст джерелаАнотація:
The professionalization of tourism education through experiential learning by fieldwork should be a key aspect of sustainable tourism development strategies. Based on the previous statement, the aim of this research is to develop a tourism learning experience through an academic field trip in Copper Canyon, with the purpose of generating a practical learning situation that serves as a strategy and practice of sustainability in the syllabus of Tourism Planning at the Autonomous University of Ciudad Juarez. An experimental methodology was implemented with students (n=26) from the advanced level of the tourism program that participated in the field trip, and mixed methods of empirical and theoretical types were applied. During the practical activity, the geospatial approach was applied to the study of the destination by interpreting the production process of the tourism space, as well as, the recognition of the tourism model, the inventory and assessment of tourist resources, and the analysis of impacts. The results allowed for comprehension and justification of the contribution of the practical learning process to the formation of tourism knowledge, by incorporating field trips to develop experiences through practical learning.
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Muttaqin, M. Zaenul, and Bagus Nuari Harmawan. "West Nusa Tenggara Tourism Policy Learning Responding to the Covid-19 Pandemic." Jurnal Kepariwisataan: Destinasi, Hospitalitas dan Perjalanan 5, no. 2 (December 30, 2021): 83–95. http://dx.doi.org/10.34013/jk.v5i2.562.
Повний текст джерелаАнотація:
The spread of Covid-19 directly hit the tourism sector in West Nusa Tenggara (NTB). Changes in West Nusa Tenggara tourism conditions require the government to adopt new policy measures to deal with conditions. Local governments in NTB are trying to restore the tourism sector with a social configuration or policy environment. This study explores policy learning in tourism recovery in the West Nusa Tenggara region due to Covid-19. The method used is a literature review with a narrative review approach. The literature analyzed in this study comes entirely from journal articles discussing tourism recovery in NTB due to the Covid-19 pandemic. Policy learning at the micro-level shows that policymakers must absorb the socio-cultural values of the community as a consideration in taking steps to improve tourism. At the meso level, some tourist destinations still find it challenging to get out of the pressure of the pandemic due to limited infrastructure to the preparation of human resources in anticipating the effects of the pandemic. At the macro level, direct intervention from the Ministry of Tourism is needed in three aspects. First, build tourism supporting facilities. Second, various policies are implemented based on Cleanliness, Health, Safety, and Environmental Sustainability (CHSE). Third, tourism recovery involves multi-stakeholder. This study contributes to making a theoretical contribution to policy learning in restoring the tourism sector due to the pandemic. Practically, this study can be a reference for the government in restoring the conditions of various tourist destinations in NTB.
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Peng, Rongqun, Yingxi Lou, Michel Kadoch, and Mohamed Cheriet. "A Human-Guided Machine Learning Approach for 5G Smart Tourism IoT." Electronics 9, no. 6 (June 8, 2020): 947. http://dx.doi.org/10.3390/electronics9060947.
Повний текст джерелаАнотація:
With the continuous development of tourism, the integration of the Internet of Things (IoT) into tourism projects is considered a very promising technology. Smart tourism aims to use the IoT to maximize information communication; that is, the IoT technology will become an important element to meet the needs of a new generation of tourists. Therefore, in this study, we propose a human-guided machine learning classification method based on tourist selection behavior. This classification method can effectively help tourists make a decision in choosing a certain tourist destination. The results obtained from the cross-validation experiments and performance evaluation prove the effectiveness of this method.
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Афанасьева, Александра, Aleksandra Afanaseva, Лариса Дручевская, and Larisa Druchevskaya. "The integration of distance learning courses as a solution for the objective of education quality improvement in the system of professional training in tourism." Universities for Tourism and Service Association Bulletin 8, no. 4 (December 3, 2014): 68–74. http://dx.doi.org/10.12737/6477.
Повний текст джерелаАнотація:
Modern realities of tourism development and education in Russia are characterized by high demands for future professionals in the field of service and tourism. Therefore, the problem of integration of distance learning in the process of training in the field of tourism today is very relevant. In this paper we propose a technique for distance courses «Tourist Regional Studies», combining elements of distance and e (open) courses for the training of specialists in the field of tourism. In the paper the steps of creating the course are identified and characterized, the peculiarities of elective courses in distance learning are established, and a general scheme of the distant course «Tourist Regional Studies» is developed. Fulfilled the task of identification and description of the main structural elements and forms of presentation: online lectures and webinars, electronic lecture, test and professionally oriented online assignments, discussions on forums, etc. Analised are specific forms of work for the course «Tourist Regional Studies» such as video and 3D-guided tours which ensure the visibility and effectiveness of learning. An important feature of the course is the possibility of converting all materials created by the students during the study course «Tourist Regional Studies» (with retaining the copyright) in educational tools that can be used as illustrations of standard products or information sources. The authors highlight the importance of implementing distance learning forms of independent work, as well as motivational blocks, such as «A metaphor for the course», «I wonder», etc. Attention is paid to the experience of creating the course «Tourist Regional Studies», tested in the course of training students of «Recreational geography and tourism» and identified are the functions of this course in the training of specialists in the field of tourism. The authors describe a pedagogical experiment of engaging tourism specialists and practitioners in the process of training in the field of tourism distance learning. Revealed that the introduction of an optional distant course «Tourist Regional Studies» in the traditional training improves the quality of knowledge of future specialists in tourism, as well as provides them with the skills of independent research and creative initiatives.
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Sugiarti, Dian Pramita, I. Gede Anom Sastrawan, I. Made Bayu Ariwangsa, and Nyoman Manik Mas Genitri Putri. "Desa Wisata Berbasis Wisata Ramah Anak di Desa Wisata Pemuteran Kabupaten Buleleng Provinsi Bali (Suatu Studi Kualitatif)." JURNAL DESTINASI PARIWISATA 8, no. 2 (December 20, 2020): 394. http://dx.doi.org/10.24843/jdepar.2020.v08.i02.p30.
Повний текст джерелаАнотація:
Tourists who come to visit Bali with their families will visit child-friendly tourist villages. The goal is that the child has a sense of security and comfort when visiting a tourist village. The experience will learn a new tourist area will increase enthusiasm and refresh children from all their activities. The identification of child- friendly tourism-based tourism villages is carried out to determine the level of safety, comfort and learning that children will get when carrying out tourism activities in the tourist village of Pemuteran, Buleleng Regency. The problem raised in this study is the identification of child-friendly tourism-based tourism villages and the identification of supporting facilities provided by tourism service providers in Pemuteran tourism village, Buleleng Regency.
Keywords : Tourist Destination, Child Friendly, Tourist Villages.
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Yoon, JunHo, and Chang Choi. "Real-Time Context-Aware Recommendation System for Tourism." Sensors 23, no. 7 (April 2, 2023): 3679. http://dx.doi.org/10.3390/s23073679.
Повний текст джерелаАнотація:
Recently, the tourism trend has been shifting towards the Tourism 2.0 paradigm due to increased travel experiences and the increase in acquiring and sharing information through the Internet. The Tourism 2.0 paradigm requires developing intelligent tourism service tools for positive effects such as time savings and marketing utilization. Existing tourism service tools recommend tourist destinations based on the relationship between tourists and tourist destinations or tourism patterns, so it is difficult to make recommendations in situations where information is insufficient or changes in real time. In this paper, we propose a real-time recommendation system for tourism (R2Tour) that responds to changing situations in real time, such as external factors and distance information, and recommends customized tourist destinations according to the type of tourist. R2Tour trains a machine learning model with situational information such as temperature and precipitation and tourist profiles such as gender and age to recommend the top five nearby tourist destinations. To verify the recommendation performance of R2Tour, six machine learning models, including K-NN and SVM, and information on tourist attractions in Jeju Island were used. As a result of the experiment, R2Tour was verified with accuracy of 77.3%, micro-F1 0.773, and macro-F1 0.415. Since R2Tour trains tourism patterns based on situational information, it is possible to recommend new tourist destinations and respond to changing situations in real time. In the future, R2Tour can be installed in vehicles to recommend nearby tourist destinations or expanded to tasks in the tourism industry, such as a smart target advertising system.
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Handayani, Widya Trisna, Junita Friska, and Isda Pramuniati. "To Develop Digital Monopoly Game as Learning Media for French for Tourism Lecture." International Journal of Research and Review 10, no. 7 (July 19, 2023): 593–98. http://dx.doi.org/10.52403/ijrr.20230770.
Повний текст джерелаАнотація:
The French for Tourism (or Français du Tourisme) is a lecture available in sixth semester. The objective of the lecture is to make students able to give information on tourist sites when they become tourist guides. The preliminary research showed that students were poor in vocabulary mastery. In the learning process, the methods were quite good, but they were necessary to be optimized in order learning was interesting. In addition, the learning media was not in line with the 4.0 industrial revolution; therefore, another media model, namely, digital monopoly game, was applied in this research. The model consisted of explanation on the material in the form of text, video, and audio and there are also interactive exercises. The advantage of this media was that it could be applied in offline mode, so it was accessible all the time. This research used the Research and Development (R&D) of ADDIE model. This research tried to know the development process, the validity, the practicality, and the effectiveness of the digital monopoly game in the lecture. To measure the effectiveness of the media, the pre- and post-tests were attempted to fifteen students who studied the lecture. The result showed that the learning media has already fulfilled all aspects of validity, practicality, and effectiveness and that there was a significant increase in the students’ competence after they used such media. It can be concluded that the digital monopoly game is quite effective in the process of learning the French for Tourism. Keywords: development, learning media, French tourism lecture, digital monopoly game
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Tang, Huanchen, Ruiqi Wang, Xiaowen Jin, and Zhengzheng Zhang. "The Effects of Motivation, Destination Image and Satisfaction on Rural Tourism Tourists’ Willingness to Revisit." Sustainability 14, no. 19 (September 22, 2022): 11938. http://dx.doi.org/10.3390/su141911938.
Повний текст джерелаАнотація:
With the diversification of tourist demand for a destinations’ supply, rural tourism destinations are facing an increasingly fierce competition environment. Creating brand value and improving tourists’ willingness to revisit has become an inevitable strategic choice for rural tourism destinations. In this study, we proposed a framework of “tourism motivation-destination image-satisfaction-willingness to revisit” to investigate rural tourism. We investigated from the aspects of learning and entertainment motivation, novelty-seeking motivation, natural environment, cultural environment, social environment, infrastructure, and tourist satisfaction. To analyze data, a questionnaire survey was administered to 545 tourists using structural equation modeling (SEM) technology. The findings indicated that learning and entertainment motivation, natural environment, social environment, and tourist satisfaction had a direct and positive effect on tourists’ willingness to revisit. In addition, tourist satisfaction played an intermediary role between tourists’ tourism motivation and destination terrain image and their propensity to return. On this basis, some suggestions and illuminations are put forward to increase tourists’ willingness to revisit.
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Wee, Desmond. "Generation Z talking: transformative experience in educational travel." Journal of Tourism Futures 5, no. 2 (June 3, 2019): 157–67. http://dx.doi.org/10.1108/jtf-02-2019-0019.
Повний текст джерелаАнотація:
Purpose The purpose of this paper is to position experience as an immersive process through the documentation of student reflections of place involving the intricacies of embodied learning and experiential mobilities. This study is framed through situational positionalities and placed movements of the tourist, the non-tourist and more specifically, students of Generation Z engaged in educational experiences. Design/methodology/approach This paper explores a student fieldtrip (on the island of Corfu, Greece) as a medium of expression for situated learning, involving a case study of tourism students learning critical tourism through sensual and haptic dimensions of reflection. The students “experienced” Corfu by participating in an international tourism conference, stayed on a yacht, went on various tours, met with tourism industry representatives and reflected their experiences in a collaborative photo story book. Findings Generation Z seemed to have the ability to discern the environment and decipher the role tourism plays. Their critical impressions of place in terms of infrastructure, sustainability, beauty, etc., force a rethink of traditional tourist typologies. It is necessary to reconsider the categorizations of tourism, challenging the need for tourism marketers to encapsulate experiences as both a single, yet multi-varied segment. What remains crucial is a deeper comprehension of this generation through their consumption patterns in relation to the various stakeholders of tourism. Originality/value This paper documents an engagement of self through experience as part of the “experience.” Hence, the transformative experiences of place reflections as opposed to linear post-trip representations of experience may be insightful for tourism practitioners dealing with a tourism of the future.
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Wang, Xuejuan. "Implementation of Personalized Information Recommendation Platform System Based on Deep Learning Tourism." Journal of Sensors 2022 (August 26, 2022): 1–9. http://dx.doi.org/10.1155/2022/6221413.
Повний текст джерелаАнотація:
In order to provide tourists with better tourism services, a system method of personal information recommendation platform based on deep learning tourism is proposed. The system includes noise reduction autoencoder, feature extraction module, data preprocessing module, recommendation calculation module, expert evaluation module, recommendation result output module, customer feedback module, and storage module. The personal information recommendation platform system based on deep learning tourism of the present invention enables tourists to obtain tourism information conveniently and quickly through scientific information organization and presentation form and helps tourists to better arrange tourism plans and form tourism decisions. By effectively aggregating multiple neighborhoods of nodes, embedding high-order collaboration information into the node embedding vector, obtaining the potential preferences of users, solving the problems of user data sparse and cold start, and finally through experimental analysis, a research method is proposed. It is used to build the model of tourist attraction recommendation system. Experimental results show that the proposed method for cold-start user recommendation has the best performance in terms of accuracy, recall, and normalized loss cumulative gain, and it is 17.9% higher than BPR in recall rate Recall@5 and 11.8% higher in accuracy rate. It is proved that the system has a significant impact on the diversity and novelty of tourist attraction recommendation.
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Blazević, Nevenka, and Maja Blazević. "THE PRESENT POSITION AND FUTURE PROSPECTS OF THE GERMAN LANGUAGE IN CROATIAN TOURISM." Tourism and hospitality management 13, no. 3 (2007): 693–700. http://dx.doi.org/10.20867/thm.13.3.15.
Повний текст джерелаАнотація:
The global competition on the tourist market and the internationalization of the tourist industry intensify the need for language learning. Knowledge of foreign languages is the most important prerequisite of the quality service in the tourist industry. The structure of foreign guests in Croatia classified by emitting countries proves that the part of the German speaking guests in comparison with other language communities is the most prominent one, so that German is the most important foreign language for the communication in Croatian tourism. Although its learning in Croatian educational institutions compared to English has been neglected, it has been learnt by all pupils in vocational schools for hotel and tourism industry. In Croatian tourism English as the language of the global communication can not satisfy all communication needs in tourism.
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Zhuang, Xueqiu, Huihua Jiao, and Li Kang. "Digital Management and Optimization of Tourism Information Resources Based on Machine Learning." International Transactions on Electrical Energy Systems 2022 (September 30, 2022): 1–12. http://dx.doi.org/10.1155/2022/7510206.
Повний текст джерелаАнотація:
With the gradual growth of economy, tourism has become a pillar industry in many countries and plays an important role in promoting national development. The individualization and diversification of tourism resources must be supported by a powerful information resource management system. However, the traditional tourism information resource management system has some problems, such as scattered sources of tourism information, low interactivity, and slow update of information resources. Tourists cannot get detailed information of scenic spots and make detailed plans for tourism which hinder the further development of the tourism industry. In order to solve these problems and promote the development of the tourism industry, this paper carried out digital management of tourism information based on machine learning and digital management of information resources of different tourist attractions and surveyed and tested the number of tourists, expenditure of scenic spots, income of scenic spots, and satisfaction of tourists. The total result showed that the digital management of tourism information resources in scenic spots can increase the passenger flow, increase the income of scenic spots, reduce the expenditure of scenic spots by 6.7%, and increase the satisfaction of tourists by 4.1%. The digital management of tourism information resources based on machine learning can optimize the tourism industry and promote its development.
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Rugge, Shrishail. "Machine Learning in Tourism." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 1382–84. http://dx.doi.org/10.22214/ijraset.2022.41529.
Повний текст джерелаАнотація:
Abstract: Machine Learning is a subset branch of Artificial Intelligence (AI) which focuses to imitate the way humans learn or behave by using certain data and algorithms which gradually help in improving its accuracy. The tourism data consists of various images, texts, statistics, maps and certain landmarks and co-ordinates of the same. Keywords: Tourism, Machine Learning, Recommender System, Co-ordinate analysis, demand forecasting.
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Cuffy, Violet, John Tribe, and David Airey. "Lifelong learning for tourism." Annals of Tourism Research 39, no. 3 (July 2012): 1402–24. http://dx.doi.org/10.1016/j.annals.2012.02.007.
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Septyandi, Chandra Budhi, and Mega Fitriani Adiwarna Prawira. "A Review of Sustainable Tourism Curriculum on Higher Education." Journal of Tourism Sustainability 2, no. 2 (August 4, 2022): 51–60. http://dx.doi.org/10.35313/jtospolban.v2i2.37.
Повний текст джерелаАнотація:
Global researchers have widely carried out publications on the tourism curriculum. The issue of sustainable tourism has been agreed upon as a platform for the development of world tourism. This study was conducted by studying reputable scientific articles on the tourism curriculum by connecting the two perspectives. Using the Systematic Literature Review (SLR) approach in the 2017-2022 scientific article, it was found that there are various pedagogical approaches to delivering sustainable tourism materials in universities. Student-based learning techniques were the determining factors for learning success, supported by the strategic partnership of higher education institutions with the tourism industry. Sustainable tourism learning in higher education was a long-term investment in tourism's human resources to realize tourism that can balance business, ecological and social benefits in the present and future.
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Hu, Bin, and Bin Yan. "Analysis System of MICE Tourism Economic Development Strategy Based on Machine Learning Algorithm." Mobile Information Systems 2022 (August 30, 2022): 1–16. http://dx.doi.org/10.1155/2022/1283040.
Повний текст джерелаАнотація:
The environmental effect of the meetings, incentives, conventions, and exhibitions (MICE) industry is as extensive as its economic impact. Visitors attending events use a wide range of service providers, including airline car rental firms, restaurants, hotels, theaters, and tour operators. Traditionally used tourism demand forecasting approaches rely heavily on univariate time series and multivariate regression models. Although these function-based prediction systems have demonstrated some effectiveness in forecasting tourism, they are unable to accurately capture the link between tourist demand and supply as a feed-forward neural network does (FFNN). Research has shown that an FFNN can outperform regression and time-series algorithms when it comes to forecasting tourism data. This research, for the first time, expands the use of neural networks in tourist demand creation by combining a hybrid FFNN and chimp optimization learning algorithm (i.e., FFNN-ChOA) into a nonlinear tourism demand dataset. In terms of predicting accuracy, FFNN-ChOA surpasses traditional backpropagation neural networks, regression models, and time-series models.
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Vuojärvi, Hanna, Miikka Eriksson, and Heli Ruokamo. "Designing Pedagogical Models for Tourism Education." International Journal of Mobile and Blended Learning 4, no. 3 (July 2012): 53–67. http://dx.doi.org/10.4018/jmbl.2012070104.
Повний текст джерелаАнотація:
The main objective of the TravEd Research project is to develop a pedagogical model that exploits mobile technologies and electronic learning environments and that is applied especially to develop decentralised tourism education in tourist destinations with extremely mobile tourism students. Developmental work on the project will be carried out through design-based research (DBR). The approach to learning arises from the socio-cultural tradition inherent to the activities, culture, context, and environment in which the learning takes place. The focuses of attention are collaborative teaching–studying–learning (TSL) processes during which several types of applications that also enable smartphone use are utilised. This paper presents the theoretical underpinnings of the project and the first cycle of the DBR process that will be carried out during an apprenticeship period aiming to develop a pedagogical model for work-based mobile learning in tourism settings/education.
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Perles-Ribes, José, Ana Ramón-Rodríguez, Luis Moreno-Izquierdo, and María Such-Devesa. "Competitiveness and overtourism: a proposal for an early warning system in Spanish urban destinations." European Journal of Tourism Research 27 (March 1, 2021): 2707. http://dx.doi.org/10.54055/ejtr.v27i.2137.
Повний текст джерелаАнотація:
The tourism industry is undergoing accelerated changes that pose significant challenges for both destination and business managers as well as for researchers of the tourism phenomenon. Two of these challenges that are particularly relevant are the emergence of the sharing economy and its influence on the degree of overtourism perceived in the tourist destinations. This paper addresses the subject through the use of machine learning techniques. The findings show that machine learning techniques are especially well-suited tools for dealing with these kinds of tourism issues. The findings also show that for the Spanish case, tourism competitiveness is a key predictor of overtourism
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Chen, Guofang. "Optimized Reinforcement Learning Approach on Sustainable Rural Tourism Development for Economic Growth." Journal of Applied Mathematics 2023 (March 30, 2023): 1–16. http://dx.doi.org/10.1155/2023/4991438.
Повний текст джерелаАнотація:
A country’s economic development relies on different features such as export/import, industrial processes, and tourism. Rural tourism is a discussion-centric research field for analyzing its contribution to a country’s economic growth. This field generates voluptuous data for tourists, expenditure, location, etc. analysis; the information increases over the years and the density of visiting tourists. Therefore, this article introduces an optimized reinforcement data analysis approach (ORDAA) for generating precise guidance information. This information is two-faced, namely, summarized data for tourist guidance and summarized data for the country’s economic development. Data augmentation’s steep rise and downfall are analyzed using reinforcement learning, wherein decision agents are precise for a relevant summary. The relevance is identified using associated development targets over varying years. Besides, the guidance information that identifies low tourist summary or nonachievable development targets is separately identified. The identified targets are analyzed using reinforcement agents for economic growth improvements compared to the previous tourist densities. This improves the focus on rural tourism sights and economic contributions to an optimal level.
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Bangun, Cendera Rizky Anugrah, Dian Fitriana Pratiwi, and Helga Liliani Cakra Dewi. "The potential of Jakarta-Surabaya high-speed rail in developing tourism: Learning from Japan." Jurnal Studi Komunikasi (Indonesian Journal of Communications Studies) 6, no. 2 (July 30, 2022): 403–23. http://dx.doi.org/10.25139/jsk.v6i2.4861.
Повний текст джерелаАнотація:
The Shinkansen is the fastest bullet train in Japan. Shinkansen greatly improve the tourism economy in some cities in Japan. Shinkansen is extremely handy for foreign visitors and reduces the cost of visiting numerous places in Japan. As is known, MRT in Jakarta is one of the collaborative projects between Japan and Indonesia. Indonesia also has a 'semi-fast' train that travels between Jakarta and Surabaya at 140-145 km/hour. Learning from the Shinkansen in Japan, the Indonesian Semi-High-Speed Train also has the potential to increase the tourism sites in Indonesia with the help of a 'push and pull strategy.' This case study used interviews and literature reviews for data collection. In this study, after data was collected, it was used to analyse the mode of transportation for tourism destinations and the marketing strategy that can be used for this research. The result of this study is that Indonesia can also imitate the implementation of tour packages from Japan's railway and tourism system. Shinkansen connects tourist destinations in various cities (intercity), and it is hoped that the semi-fast train built by the Indonesian government can do the same thing. Railways as tourism transport are only one thing in developing tourist destinations. The other thing is, of course, related to integrated tourism planning
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Khudaverdiyeva, V. "INTEGRATION OF DISTANCE LEARNING AS A MECHANISM FOR SOLVING THE PROBLEM OF IMPROVING THE QUALITY OF EDUCATION IN THE SYSTEM OF TRAINING SPECIALISTS IN THE FIELD OF TOURISM." Series: Economic science 5, no. 172 (October 17, 2022): 47–55. http://dx.doi.org/10.33042/2522-1809-2022-5-172-47-55.
Повний текст джерелаАнотація:
The article considers the peculiarities of conducting classes in a distance format. The transition to this training format is the optimal form of effective interaction with students, which allows you to maintain the pace of mastering the program material and avoid a possible interruption of educational activities as a whole. Modern realities of the development of tourism and education in Ukraine are characterized by high requirements for future specialists in the field of service and tourism. Therefore, the problems of integration of remote forms of education into the process of training personnel in the field of tourism are the most urgent today. This article proposes a methodology for the development of distance courses: "Tourist Local History", "Basics of Marketing (in the field of tourism)" and "Organizational Behavior", which combines elements of distance and electronic (open) learning for the training of specialists in the field of tourism. The main structural elements and forms of presentation of the material are defined and characterized: online lectures and webinars, electronic lectures, test and professional-oriented online tasks, forum discussions, etc. Specific forms of work for the courses "Tourist Local History", "Fundamentals of Marketing (in the field of tourism)" and "Organizational Behavior" are video and 3D tours, which ensure clarity and efficiency of learning the material. A characteristic feature of the distance course is the possibility of turning all the materials created by the students during the study of the courses into educational tools that can be used as illustrations, reference products or sources of information. The importance of introducing forms of independent work into distance learning, as well as motivational blocks, such as "Metaphor for the course", "Interesting to know", etc., is emphasized. The experience of creating courses: "Tourist Local History", "Fundamentals of Marketing (in the field of tourism)" and "Organizational Behavior", tested during the training of students of the "Tourism" specialty, and the functions of these courses in the training of specialists in the field of tourism are determined. A pedagogical experiment involving the involvement of distance education specialists in the field of tourism in the process of training is described. It was found that the introduction of distance courses into traditional education increases the quality of knowledge of future tourism specialists, and also forms in them the skills of independent scientific work and creative initiative. Keywords: distance learning, interactivity, communicative interaction, moodle distance learning environment; electronic training course; information resources.
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Sugiarti, Dian Pramita, I. Gede Anom Sastrawan, I. Made Bayu Ariwangsa, and Dea Pratama. "Bali sebagai Wisata Edukasi bagi Wisatawan Anak pada masa Pandemi Covid-19." JURNAL DESTINASI PARIWISATA 9, no. 2 (December 31, 2021): 489. http://dx.doi.org/10.24843/jdepar.2021.v09.i02.p29.
Повний текст джерелаАнотація:
Educational tourism becomes a special interest tour for tourists who want to get a learning process whenvisiting a tourist destination. One of them is Bali, during the pandemic tourist destinations in Bali are still indemand by domestic and foreign tourists. Tabanan regency becomes one of the tourist attractions that offereducational tours nagi family tourists and child tourists. The village of cau Coklat, Kampung bIngo and SubakMuseum located in Tabanan Regency offer tourist activities while studying. Tourist activities offered by studyingthe process of harvesting chocolate fruit to making chocolate in the village of cau chocolate, picking organicvegetables and making it into a vegetable salad in the bingo village and seeing the traditional tools of Balinesefarmers in the Subak Museum. The management of educational tourism is inseparable from the importance of thecognitive realm, affective realm and psychomotor realm of children's tourism. This is important due to thepressure that child travelers can under pandemics with closed school conditions, online learning systems andrestrictions on large-scale activities for a long time. so that the management of educational tourism must becarried by all parties in order to be carried out properly and get a good response from child tourists.Keywords : Educational tourism, child tourists,Pandwemi Covid-19
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Fauziah, Silvy, and Rudy Aryanto. "Consumer Preferences Toward Marine Tourism Area." Winners 13, no. 2 (September 28, 2012): 156. http://dx.doi.org/10.21512/tw.v13i2.661.
Повний текст джерелаАнотація:
The marine zone tourism is growing attracting more tourists. Pramuka Island is marine conservation area enriched with marine biodiversity in coral reefs and other natural resources. To develop this potential tourist destination, a customer-based marketing program is required to attract domestic and foreign tourists. The main vision is to understand tourist preferences for marine tourism activities and facilities. A research was conducted on Pramuka Island as a well-known marine tourism zone. The objective was to determine the key tourist preferences for marine tourism destination. Research methods utilized Cochran Q test and Conjoint analysis where the primary data were obtained from tourist respondents. The result showed that there was a tourist preference based on the five attributes considered most important, namely tourism activities, tourist attractions, types of accommodation, food and souvenirs types. This study provided marine tourism destination management with useful guidance for broader implications of the implementation of marketing programs and tourism attraction. Moreover, the results of this study consolidated the learning of a variety of academic and industrial research papers in particular for the measurement of customer preferences towards marine tourism destination.
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Syifa Aulia, Shania Salsabila, and Dede Indra Setiabudi. "PENGEMBANGAN MEDIA PEMBELAJARAN IPA DENGAN MENGGUNAKAN OBJEK WISATA DAN PANTAI." Jurnal Pendidikan dan Sastra Inggris 2, no. 2 (July 15, 2022): 27–33. http://dx.doi.org/10.55606/jupensi.v2i2.241.
Повний текст джерелаАнотація:
Pancer Door Beach is a place that is very popular with all people, from parents to children. In addition to existing tourist attractions, a large area, and several places to exercise, as well as a very busy buying and selling the place and a place for learning for students to be part of the concepts in learning. The advantage of the Pancer Door beach tourism object is its large waves. For visitors who want to enjoy culinary tourism in the Pancer Door beach area, they also provide stalls around the beach area and many other supporting facilities. Tourist objects can be used for students to learn in open spaces. Like fishers looking for fish, students can immediately see how the fishers catch fish and what types of marine life are caught—then planting mangrove plants around the coast, which can prevent beach abrasion. The application of learning using the Pancer Door beach tourism object as one of the learning aids that can improve student learning outcomes in science learning, teachers must take advantage of the environment to improve student learning outcomes. The proximity of students to learning resources that come from the environment to culture is interesting.
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Rachmadyanti, Putri, Elsinora Mahananingtyas, and Lita Ariyanti. "Tourism Objects as Social Studies Learning Sources in Elementary School." JOURNAL OF TEACHING AND LEARNING IN ELEMENTARY EDUCATION (JTLEE) 5, no. 2 (August 17, 2022): 141. http://dx.doi.org/10.33578/jtlee.v5i2.7922.
Повний текст джерелаАнотація:
Objects tourism in premises increasingly growing and provide impacts positively on the economy of the community. The existence of tourist attractions can also contribute to the world of education, especially as a source of learning. Purpose research is the exploration use of tourism attractions in learning in Elementary School Education. The method of research that is used is research qualitative study of the case. The data collection technique used two steps, namely questionnaires and semi-structured interviews. The participants were 89 elementary school teachers in 6 cities of East Java who filled out a questionnaire and 12 people were willing to do semi-structured interviews. The findings in this study are 59% of teachers use the type of natural tourism object in learning, 55% of teachers choose tourism objects based on teaching materials, 55% of teachers use tours to make learning more fun, and 52% of teachers explain the obstacles to learning by utilizing these attractions come from costs. The study is expected to give a contribution positive to the development of learning that is based on experience in the School Elementary with tourism objects. This study also emphasizes the importance of providing effective learning resources for social studies learning in elementary schools.
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Li, Qin, Shaobo Li, Sen Zhang, Jie Hu, and Jianjun Hu. "A Review of Text Corpus-Based Tourism Big Data Mining." Applied Sciences 9, no. 16 (August 12, 2019): 3300. http://dx.doi.org/10.3390/app9163300.
Повний текст джерелаАнотація:
With the massive growth of the Internet, text data has become one of the main formats of tourism big data. As an effective expression means of tourists’ opinions, text mining of such data has big potential to inspire innovations for tourism practitioners. In the past decade, a variety of text mining techniques have been proposed and applied to tourism analysis to develop tourism value analysis models, build tourism recommendation systems, create tourist profiles, and make policies for supervising tourism markets. The successes of these techniques have been further boosted by the progress of natural language processing (NLP), machine learning, and deep learning. With the understanding of the complexity due to this diverse set of techniques and tourism text data sources, this work attempts to provide a detailed and up-to-date review of text mining techniques that have been, or have the potential to be, applied to modern tourism big data analysis. We summarize and discuss different text representation strategies, text-based NLP techniques for topic extraction, text classification, sentiment analysis, and text clustering in the context of tourism text mining, and their applications in tourist profiling, destination image analysis, market demand, etc. Our work also provides guidelines for constructing new tourism big data applications and outlines promising research areas in this field for incoming years.
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Livieris, Ioannis E., Emmanuel Pintelas, Theodore Kotsilieris, Stavros Stavroyiannis, and Panagiotis Pintelas. "Weight-Constrained Neural Networks in Forecasting Tourist Volumes: A Case Study." Electronics 8, no. 9 (September 8, 2019): 1005. http://dx.doi.org/10.3390/electronics8091005.
Повний текст джерелаАнотація:
Tourism forecasting is a significant tool/attribute in tourist industry in order to provide for careful planning and management of tourism resources. Although accurate tourist volume prediction is a very challenging task, reliable and precise predictions offer the opportunity of gaining major profits. Thus, the development and implementation of more sophisticated and advanced machine learning algorithms can be beneficial for the tourism forecasting industry. In this work, we explore the prediction performance of Weight Constrained Neural Networks (WCNNs) for forecasting tourist arrivals in Greece. WCNNs constitute a new machine learning prediction model that is characterized by the application of box-constraints on the weights of the network. Our experimental results indicate that WCNNs outperform classical neural networks and the state-of-the-art regression models: support vector regression, k-nearest neighbor regression, radial basis function neural network, M5 decision tree and Gaussian processes.
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Афанасьев, Олег, and Oleg Afanasiev. "Tourism infographics: potential for educational process." Universities for Tourism and Service Association Bulletin 9, no. 4 (December 1, 2015): 55–63. http://dx.doi.org/10.12737/14584.
Повний текст джерелаАнотація:
The article is devoted to the problem of using tourism infographic in the educational process of training specialists
in the sphere of tourist services. The object of study is a special form of information visualization – infographics
tourist. Subject of research is the classification and study of possibilities of using tourism as a special
infographic of the format of visualization of the educational information in the process of training specialists
in the sphere of tourism. Tourism infographic refers to a special thematic course in theory and practice visualizing
the information related to tourism resources, destinations, service in tourism and hospitality. In modern
science the concept of tourism infographic, a comprehensive synthesis publication about the pedagogical
functions of the infographics are absent. Infographics as a modern genre and the format for reporting is the
product of a global information space of the «InfoSphere». Its main function is the transfer of large volumes of
information through its visualization on a single, specially organized a compact image with the use of design
techniques. In the field of training of specialists on direction «Tourism» infographics have become one of the
most important methods of information influence on the students. The infographic has a bunch of important
didactic qualities, allowing to form a special visual expertise. The article describes the classification of tourism
infographic in various formats (media, information, narrative formats) described critical Internet resources,
providing the opportunity to engage in the learning process of the finished renderings of tourist subjects. The
article lists and describes the possibility of using in practical activity of students the most important tools for the
design and construction of tourist infographic. The article States the pedagogical effect of the use of the materials
infographic in the educational process of training specialists in the sphere of service and tourism. The
conclusion forms the positive impact of visualization techniques of tourist information by means of infographics
on the academic learning of students.
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Xiao, Xin, Chaoyang Fang, and Hui Lin. "Characterizing Tourism Destination Image Using Photos’ Visual Content." ISPRS International Journal of Geo-Information 9, no. 12 (December 7, 2020): 730. http://dx.doi.org/10.3390/ijgi9120730.
Повний текст джерелаАнотація:
“A picture is worth a thousand words”. Analysis of the visual content of tourist photos is an effective way to explore the image of tourist destinations. With the development of computer deep learning and big data mining technology, identifying the content of massive numbers of tourist photos by convolutional neural network (CNN) approaches breaks through the limitations of manual approaches of identifying photos’ visual information, e.g., small sample size, complex identification process, and results deviation. In this study, 531,629 travel photos of Jiangxi were identified as 365 scenes through deep learning technology. Through the latent Dirichlet allocation (LDA) model, five major tourism topics are found and visualized by map. Then, we explored the spatial and temporal distribution characteristics of different tourism scenes based on hot spot analysis technology and the seasonal evaluation index. Our research shows that the visual content mining on travel photos makes it possible to understand the tourism destination image and to reveal the temporal and spatial heterogeneity of the image, thereby providing an important reference for tourism marketing.
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Wiramarta, Kadek. "EKSPLORASI PERSEPSI MAHASISWA MENGENAI PENGINTEGRASIAN KEAHLIAN STORY TELLING DALAM PEMBELAJARAN BAHASA INGGRIS DI SEKOLAH KEPARIWISATAAN." Cultoure: Jurnal Ilmiah Pariwisata Budaya Hindu 3, no. 1 (April 30, 2022): 62. http://dx.doi.org/10.55115/cultoure.v3i1.2043.
Повний текст джерелаАнотація:
With the emerging role of stories in supporting the value of a tourist attraction, a tourism practitioner is required to be able to convey an engaging story regarding the tourism destination. Therefore, Vocational Higher Education is expected to help educating prospective tourism practitioners to meet this demand. This study aims to discuss on how to implement story telling in the English learning process and explore students' perceptions on this specific practice. For this reason, the researcher implemented story telling activities for 4 meetings in a class consisting of 21 people and then collected data afterwards. This research uses qualitative and quantitative approaches to obtain comprehensive results. This study found that in integrating story telling into English learning, various methods can be used to ensure that the learning objectives can be achieved. Students think that it is important to integrate story telling in learning English. In addition, story telling is considered useful for students in the professional world. It also reveals that all students will implement and use the knowledge in this learning process in the professional work later. However, it should also be noted that students experience various difficulties in the learning process while using story telling in tourism. This research is expected to provide further references on using story telling for Englosh for Tourism in tourism vocational higher education.
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Andini, Alivia, Saptono Nugroho, and Ida Bagus Suryawan. "Tourism Planning Based on Educational Tourism in Agro-Tourism." European Journal of Business and Management Research 7, no. 4 (August 6, 2022): 245–50. http://dx.doi.org/10.24018/ejbmr.2022.7.4.1544.
Повний текст джерелаАнотація:
The focus of this research is on educational tourism which is specifically designed to fulfill the scientific capacity of tourists, thereby being able to fill in their insights with travel activities. In this study, tourism planning based on educational tourism will be carried out by involving local communities. The potential for educational tourism is seen based on the components of tourism products, explains the form of educational tourism, and explains the planning of educational tours based on Buana Amertha Sari Agro-tourism. This type of research is descriptive with a qualitative approach. Data were collected through observation, interviews with village heads, agro-tourism owners and workers in Agro-tourism, as well as literature studies related to educational tourism. The results showed that the condition of the attractiveness of Buana Amertha Sari Agro-tourism as a tourist destination which was reviewed through the components of tourism products and was sufficient to support the implementation of this form of educational tourism. For educational activities that have the aim of providing visitors with direct learning, in terms of the principles of educational tourism that are applied, they are adequate. In educational tourism planning there is a description that describes each step of the tourism planning process and is supported by the role of actors.
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Wijayanti, Ani, Janianton Damanik, Chafid Fandeli, and Sudarmadji Sudarmadji. "Analysis of Educational Tourism Management at Smart Park, Yogyakarta, Indonesia." MIMBAR : Jurnal Sosial dan Pembangunan 34, no. 1 (June 19, 2018): 11–23. http://dx.doi.org/10.29313/mimbar.v34i1.2823.
Повний текст джерелаАнотація:
The concept of educational tourism developed as a consequence of the saturation of applying learning methods in a rigid and formal room. Yogyakarta as a student and cultural city has several educational tourism objects, one of which is the Smart Park. Smart Park Yogyakarta as the most comprehensive science center in Southeast Asia offers various educational tourism program packages. The objective of this study is to analyze the Smart Park management model by conducting a survey to 200 visitors with data analyzed by SEM-PLS method. Data analysis is done in two ways, namely model feasibility test and significance test through bootstrapping process. Based on the data result analysis, the most dominant influence is management performance to the variation of tourism activities with path analysis of 0,653. The indicator with the largest contribution is learning new technology by loading factor value of 0.872. In terms of product availability, almost all educational tourism activities are available, unless for the tourist attractions related to learning a new language.
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Ispas, Ana. "THE ROLE OF EDUCATION IN ROMANIA’S TOURISM SECTOR: FROM LEVEL DESCRIPTORS TO LEARNING OUTCOMES." Tourism and hospitality management 14, no. 1 (2007): 115–28. http://dx.doi.org/10.20867/thm.14.1.10.
Повний текст джерелаАнотація:
Tourism is generally and globally acknowledged as one of the few economic sectors that has more than significant growth prospects and is characterized as a catalyst for peace and prosperity. At the same time, this sector is known for its high turnover of staff, persistent lack of qualified personnel and rapidly changing skill needs. If Romania wants to be a competitive tourist destination, we must assure a high quality of the tourism services and the people who deliver them. The most important labour shortage in Romania’s tourism is at the management level (top and middle management) and entrepreneurs. There are several reasons for this. For a long time, Romania’s tourist industry was dominated by large public enterprises. Most often, top and middle management were not appointed and promoted according to their education and capabilities, but according to other non-professional criteria. Education at all levels, especially higher education, has not been producing a competent labour force. Management education has been especially weak, with no specialized education for management in tourism. Some available programmes were of too general and with little practical training. Although there are several institutions of higher education which provide education for tourism, all of them need to modernize their programmes with a greater emphasis on management, foreign languages, ICT, and practical training. Today, Romania started to reform education. This is a significant challenge for the entire education system, including higher education in tourism. This year a consultation process was started to identify the most important competences that should be formed or developed in a degree programme. The outcome of this consultation process will be reflected in the set of reference points – generic and subject specific competences – identified by 10 subject areas, including tourism.
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Fajar, Muhammad. "An Application of Hybrid Forecasting Singular Spectrum Analysis – Extreme Learning Machine Method in Foreign Tourists Forecasting." Jurnal Matematika "MANTIK" 5, no. 2 (October 27, 2019): 60–68. http://dx.doi.org/10.15642/mantik.2019.5.2.60-68.
Повний текст джерелаАнотація:
International tourism is one indicator of measuring tourism development. Tourism development is important for the national economy since tourism could boost foreign exchange, create business opportunities, and provide employment opportunities. The prediction of foreign tourist numbers in the future obtained from forecasting is used as an input parameter for strategy and tourism programs planning. In this paper, the Hybrid Singular Spectrum Analysis – Extreme Learning Machine (SSA-ELM) is used to forecast the number of foreign tourists. Data used is the number of foreign tourists January 1980 - December 2017 taken from Badan Pusat Statistik (Statistics Indonesia). The result of this research concludes that Hybrid SSA-ELM performance is very good at forecasting the number of foreign tourists. It is shown by the MAPE value of 4.91 percent with eight observations out a sample.
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Tanuwidjaja, Gunawan, and Mustakim. "Sustainable Tourism and Housing Development for Panggang Island, Seribu Islands Jakarta: Learning from Maldives' Sustainable Tourism Development." ATRIUM: Jurnal Arsitektur 8, no. 1 (June 1, 2022): 25–38. http://dx.doi.org/10.21460/atrium.v8i1.163.
Повний текст джерелаАнотація:
In 2016, Indonesia's tourism sector contributed 4 per cent of the Indonesian Gross Domestic Product (GDP). By 2019, the Indonesian Government wants to increase the tourism contribution to 8 per cent of GDP, requiring 20 million tourist visits. Ten "New Bali" destinations have been developed by President Jokowi, including the Seribu Islands Regency. Seribu Islands, located in Jakarta Capital Region, has various potentials and problems, such as economic disparity, rising seawater levels, declining fisheries production, limited water resources, and environmental pollution. Some Neighborhood Units (Rukun Warga) in the Seribu Islands are slums, including Panggang Island. Therefore, an Integrated Kampung Improvement (Muhammad Husni Thamrin Plus Program) was proposed. This study is prepared to identify potential concepts for spatial rezoning of Panggang Island, integrating sustainable tourism and housing neighbourhood redevelopment. The research problems are how can the community create a healthier and safer home, how can the sustainable 'tourist lodge' model in Panggang Island, and what concept of spatial rezoning of Panggang Island can be proposed. To understand the integration of tourism and residential development, we conducted Case Study Research (CSR) to learn from the Maldives Islands and implemented a qualitative approach of Strength, Weaknesses, Opportunities, and Threats (SWOT) analysis for Panggang Island. Based on the SWOT, we propose a rezoning concept for sustainable Panggang Island, integrating potential tourism zones, new fisher's housing zones, polder infrastructures, utilities, and green zones. Further, in the COVID-19 Era, an additional review on personal tourism was conducted to propose sustainable tourism activities on the Panggang Island while reducing the spread of COVID-19.
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Dong, Qiutong, and Runsheng Fang. "A Deep Learning-Based Text Emotional Analysis Framework for Yellow River Basin Tourism Culture." Mobile Information Systems 2022 (September 27, 2022): 1–9. http://dx.doi.org/10.1155/2022/6836223.
Повний текст джерелаАнотація:
As an important carrier of cultural communication, tourism can play a positive role in promoting regional ecology and cultural heritage. Therefore, this paper takes tourist attractions in the Yellow River basin as the research object and constructs mining and comment sentiment analysis for tourism text information in the Yellow River basin that appears on social media platforms. Based on the theory of the social center network, the tourism culture network of the Yellow River basin based on tourists’ emotion analysis is constructed. In addition, based on the linear fusion algorithm of semantic orientation pointwise mutual information and word2vec, this paper constructs an emotion dictionary in the field of tourism review and proposes a set of comprehensive emotion calculation rules based on Chinese text expression structure. The experimental results of 32 scenic spots in the Yellow River basin show that the proposed algorithm can achieve better sentiment classification of tourism texts, broaden the scope of application of the domain sentiment dictionary construction method, and improve efficiency.
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Bueddefeld, Jill, and Mat D. Duerden. "The transformative tourism learning model." Annals of Tourism Research 94 (May 2022): 103405. http://dx.doi.org/10.1016/j.annals.2022.103405.
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Baker, Randal G. "Learning to live with tourism." Annals of Tourism Research 23, no. 2 (January 1996): 495–97. http://dx.doi.org/10.1016/s0160-7383(96)90081-x.
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King, Brian. "Learning to live with tourism." Tourism Management 15, no. 4 (August 1994): 308–9. http://dx.doi.org/10.1016/0261-5177(94)90055-8.
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Pradipta, Made Prasta Yostitia. "The Use of Wellness Tourism in Tourism Development: A Case Study in Baluwarti Village, Surakarta City." JURNAL PENDIDIKAN DAN KELUARGA 15, no. 01 (June 29, 2023): 9. http://dx.doi.org/10.24036/jpk/vol15-iss01/1280.
Повний текст джерелаАнотація:
The development of the Covid-19 pandemic has temporarily halted the tourism service business in Surakarta, leading to the emergence of policies regarding tourist attractions and objects. The research was conducted in the Baluwarti Tourism Village, which offers health tour packages to help tourists maintain their mental and physical health during the pandemic. As a result, tourism service businesses are developing alternative tourism options such as wellness or health tourism that can combine tourism and health. Data was collected through library or library research methods and analyzed by selecting, processing, and grouping the data to make it more concise. The findings revealed that the most popular tourist objects and attractions in Surakarta were artificial and cultural attractions, with the majority of them being artificial museums. The study also found several rare tourist attractions such as the "Walking Tour Royal Wellness Tourism" tour package, Javanese Cooking Class, Dance/Gamelan Learning, Constructing Janur, Using Javanese Language, and Making Traditional Herbs/Helpers. This alternative tourism is expected to contribute to the development of tourism in Surakarta, allowing tourists to stay longer in the city with additional tour packages.
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Laaroussi, Houria, Fatima Guerouate, and Mohamed Sbihi. "A novel hybrid deep learning approachfor tourism demand forecasting." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (April 1, 2023): 1989. http://dx.doi.org/10.11591/ijece.v13i2.pp1989-1996.
Повний текст джерелаАнотація:
This paper proposes a new hybrid deep learning framework that combines search query data, autoencoders (AE) and stacked long-short term memory (staked LSTM) to enhance the accuracy of tourism demand prediction. We use data from Google Trends as an additional variable with the monthly tourist arrivals to Marrakech, Morocco. The AE is applied as a feature extraction procedure to dimension reduction, to extract valuable information and to mine the nonlinear information incorporated in data. The extracted features are fed into stacked LSTM to predict tourist arrivals. Experiments carried out to analyze performance in forecast results of proposed method compared to individual models, and different principal component analysis (PCA) based and AE based hybrid models. The experimental results show that the proposed framework outperforms other models.