Analysis of Factors Influencing the Prices of Tourist Offers
Tourism is a significant branch of many world economies. Many factors influence the volume of tourist traffic and the prices of trips. There are factors that clearly affect tourism, such as COVID-19. The paper describes the methods of machine learning and process mining that allow for assessing the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/24/12938 |
| _version_ | 1797461545659138048 |
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| author | Agata Kołakowska Magdalena Godlewska |
| author_facet | Agata Kołakowska Magdalena Godlewska |
| author_sort | Agata Kołakowska |
| collection | DOAJ |
| description | Tourism is a significant branch of many world economies. Many factors influence the volume of tourist traffic and the prices of trips. There are factors that clearly affect tourism, such as COVID-19. The paper describes the methods of machine learning and process mining that allow for assessing the impact of various factors (micro, mezzo and macro) on the prices of tourist offers. The methods were used on large sets of real data from two tour operators, and the results of these studies are discussed in this paper. The research presented is part of a larger project aiming at predicting trip prices. It answers the question of which factors have the greatest impact on the price and which can be omitted in further work. Nevertheless, the dynamic world situation suggests that the ranking of factors may change and the presented universal methods may provide different results in the coming years. |
| first_indexed | 2024-03-09T17:21:54Z |
| format | Article |
| id | doaj.art-3d190e89fbe84682a773474e18bd030e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T17:21:54Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-3d190e89fbe84682a773474e18bd030e2023-11-24T13:07:26ZengMDPI AGApplied Sciences2076-34172022-12-0112241293810.3390/app122412938Analysis of Factors Influencing the Prices of Tourist OffersAgata Kołakowska0Magdalena Godlewska1Department of Intelligent Interactive Systems, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, 80-233 Gdańsk, PolandDepartment of Intelligent Interactive Systems, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, 80-233 Gdańsk, PolandTourism is a significant branch of many world economies. Many factors influence the volume of tourist traffic and the prices of trips. There are factors that clearly affect tourism, such as COVID-19. The paper describes the methods of machine learning and process mining that allow for assessing the impact of various factors (micro, mezzo and macro) on the prices of tourist offers. The methods were used on large sets of real data from two tour operators, and the results of these studies are discussed in this paper. The research presented is part of a larger project aiming at predicting trip prices. It answers the question of which factors have the greatest impact on the price and which can be omitted in further work. Nevertheless, the dynamic world situation suggests that the ranking of factors may change and the presented universal methods may provide different results in the coming years.https://www.mdpi.com/2076-3417/12/24/12938machine learningprocess miningfactorsprice predictortourism |
| spellingShingle | Agata Kołakowska Magdalena Godlewska Analysis of Factors Influencing the Prices of Tourist Offers Applied Sciences machine learning process mining factors price predictor tourism |
| title | Analysis of Factors Influencing the Prices of Tourist Offers |
| title_full | Analysis of Factors Influencing the Prices of Tourist Offers |
| title_fullStr | Analysis of Factors Influencing the Prices of Tourist Offers |
| title_full_unstemmed | Analysis of Factors Influencing the Prices of Tourist Offers |
| title_short | Analysis of Factors Influencing the Prices of Tourist Offers |
| title_sort | analysis of factors influencing the prices of tourist offers |
| topic | machine learning process mining factors price predictor tourism |
| url | https://www.mdpi.com/2076-3417/12/24/12938 |
| work_keys_str_mv | AT agatakołakowska analysisoffactorsinfluencingthepricesoftouristoffers AT magdalenagodlewska analysisoffactorsinfluencingthepricesoftouristoffers |