Development of information system for planning personalized tourist routes

Authors

DOI:

https://doi.org/10.15587/2706-5448.2024.298422

Keywords:

information system, tourism industry, graph theory, personalized planning, optimal routes, unique tourist experience

Abstract

The object of research is processes of information and technological planning of tourist trips. The article analyzes the processes of information technology planning of tourist trips and develops an information system for personalized planning of tourist routes using graph theory. The paper describes in detail a new approach to the formation of optimal routes based on graph models and the analysis of personal preferences of users.

The developed information system uses graph theory to represent and optimize tourist routes, taking into account various criteria such as distance, travel time, and individual user preferences. Algorithms for calculating optimal routes are designed to improve the quality of recommendations and provide a high level of personalization.

The functionality of the information system for planning tourist routes is based on the use of a number of innovative approaches and technologies that make the system more efficient, accurate and attractive to users. This takes into account the need to use modern route optimization algorithms. Algorithms have been developed to optimize tourist routes based on various criteria, such as cost, time, personal preferences, and environmental aspects. The introduction of intelligent analytical tools for predicting tourist trends helps to determine the popularity of places and other factors that influence the choice of routes. For the audio support of the excursion route, an algorithm for generating multimedia information content that is relevant to an individual personalized excursion route and its duration is used. The authors formulate the requirements and analyze the functionality of the information system for personalized planning of tourist routes, since a personalized approach and the use of graph models facilitate route planning that takes into account various aspects, including user-friendliness, accuracy of recommendations, system flexibility and security.

The developed information system can open up new opportunities for individual and intelligent planning of tourist routes, providing users with a unique tourist experience.

Author Biographies

Artur Kondra, Lviv Polytechnic National University

Postgraduate Student

Departments of Information Systems and Networks

Valeriia Savchuk, GlobalLogic Ukraine; Lviv Polytechnic National University

PhD, Business Analyst

Postgraduate Student

Departments of Information Systems and Networks

Sergiy Pasichnyk, Lviv Polytechnic National University

Postgraduate Student

Departments of Information Systems and Networks

Nataliia Kunanets, Lviv Polytechnic National University

Doctor of Sciences in Social Communications, Senior Researcher, Professor

Departments of Information Systems and Networks

Hanna Мashika, State University «Uzhhorod National University»

Doctor of Geographical Sciences, Professor, Head of Department

Department of Tourism

References

  1. Labunska, S., Zyma, O., Sushchenko, S. (2022). The use of information systems as a way to ensure interaction between small and big tourism enterprises. Access Journal – Access to Science, Business, Innovation in the Digital Economy, 3 (1), 16–28. doi: https://doi.org/10.46656/access.2022.3.1(2)
  2. Robb, M. C. (1987). Route information systems for motorists. Transport Reviews, 7 (3), 259–275. doi: https://doi.org/10.1080/01441648708716659
  3. Ebner, A.; Schertler, W., Schmid, B., Tjoa, A. M., Werthner, H. (Eds.) (1994). TIS Tourism Information System for the Tyrol. Information and Communications Technologies in Tourism. Vienna: Springer, 35–42. doi: https://doi.org/10.1007/978-3-7091-9343-3_6
  4. Almer, A., Schnabel, T., Stelzl, H., Stieg, J., Luley, P.; Carswell, J. D., Tezuka, T. (Eds.) (2006). A Tourism Information System for Rural Areas Based on a Multi Platform Concept. Web and Wireless Geographical Information Systems. W2GIS 2006. Lecture Notes in Computer Science. Vol 4295. Berlin, Heidelberg: Springer, 31–41. doi: https://doi.org/10.1007/11935148_4
  5. Miočić, B. K., Vidić, G., Klarin, T. (2014). Comparative analysis of tourist satisfaction and online booking services usage for incoming tourists in Zadar County. 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). Opatija, 1544–1549. doi: https://doi.org/10.1109/mipro.2014.6859811
  6. Abuelrub, E. M., Solaiman, H. M. (2010). A Tourism e-Guide System Using Mobile Integration. International Journal of Interactive Mobile Technologies (IJIM), 4 (2), 4. doi: https://doi.org/10.3991/ijim.v4i2.1051
  7. Tallinucci, V., Zehrer, A., Pechlaner, H. (2004). Using Interactive Maps as Tourism Information Source: The Case of DESTOUR. Information and Communication Technologies in Tourism 2004, 49–57. doi: https://doi.org/10.1007/978-3-7091-0594-8_5
  8. Huk, K., Kurowski, M. (2021). Innovations and new possibilities of vehicle tracking in transport and forwarding. Wireless Networks, 28 (1), 481–491. doi: https://doi.org/10.1007/s11276-021-02623-0
  9. Bedair, S., Sayed, S. A., AlMetwaly, W. M. (2022). Enhancing Hybrid Learning using Open Source GIS-Based Maps Archiving System. The Egyptian Journal of Remote Sensing and Space Science, 25 (3), 779–793. doi: https://doi.org/10.1016/j.ejrs.2022.07.003
  10. Cranmer, E. E., tom Dieck, M. C., Fountoulaki, P. (2020). Exploring the value of augmented reality for tourism. Tourism Management Perspectives, 35. doi: https://doi.org/10.1016/j.tmp.2020.100672
  11. Yang, J., Zheng, B., Chen, Z. (2020). Optimization of Tourism Information Analysis System Based on Big Data Algorithm. Complexity, 2020, 1–11. doi: https://doi.org/10.1155/2020/8841419
  12. Sustacha, I., Baños-Pino, J. F., Del Valle, E. (2023). The role of technology in enhancing the tourism experience in smart destinations: A meta-analysis. Journal of Destination Marketing & Management, 30. doi: https://doi.org/10.1016/j.jdmm.2023.100817
  13. Fernandes, R. P. A., Almeida, J. E., Rosseti, R. J. F. (2013). A Collaborative Tourist System Using Serious Games. Advances in Information Systems and Technologies, 725–734. doi: https://doi.org/10.1007/978-3-642-36981-0_67
Development of information system for planning personalized tourist routes

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Published

2024-02-13

How to Cite

Kondra, A., Savchuk, V., Pasichnyk, S., Kunanets, N., & Мashika H. (2024). Development of information system for planning personalized tourist routes. Technology Audit and Production Reserves, 1(2(75), 45–52. https://doi.org/10.15587/2706-5448.2024.298422

Issue

Section

Systems and Control Processes