Forecasting Tourist Arrivals for Hainan Island in China with Decomposed Broad Learning before the COVID-19 Pandemic
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 t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/25/2/338 |
| _version_ | 1797621069380583424 |
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| author | Jingyao Chen Jie Yang Shigao Huang Xin Li Gang Liu |
| author_facet | Jingyao Chen Jie Yang Shigao Huang Xin Li Gang Liu |
| author_sort | Jingyao Chen |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T08:51:27Z |
| format | Article |
| id | doaj.art-06c1f1e58e1a4eb88e1248ba7e8ca8f8 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-11T08:51:27Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-06c1f1e58e1a4eb88e1248ba7e8ca8f82023-11-16T20:24:07ZengMDPI AGEntropy1099-43002023-02-0125233810.3390/e25020338Forecasting Tourist Arrivals for Hainan Island in China with Decomposed Broad Learning before the COVID-19 PandemicJingyao Chen0Jie Yang1Shigao Huang2Xin Li3Gang Liu4School of Business, Macau University of Science and Technology, Macau SAR, ChinaCollege of Artificial Intelligence, Chongqing Industry & Trade Polytechnic, Chongqing 408000, ChinaFaculty of Health Science, University of Macau, Macau SAR, ChinaSchool of Business, Macau University of Science and Technology, Macau SAR, ChinaTourism School, Hainan University, 58 Renmin Road, Haikou 570228, ChinaThis 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.https://www.mdpi.com/1099-4300/25/2/338tourism arrivalstourism forecastingfuzzy entropyempirical wavelet transformbroad learning |
| spellingShingle | Jingyao Chen Jie Yang Shigao Huang Xin Li Gang Liu Forecasting Tourist Arrivals for Hainan Island in China with Decomposed Broad Learning before the COVID-19 Pandemic Entropy tourism arrivals tourism forecasting fuzzy entropy empirical wavelet transform broad learning |
| title | Forecasting Tourist Arrivals for Hainan Island in China with Decomposed Broad Learning before the COVID-19 Pandemic |
| title_full | Forecasting Tourist Arrivals for Hainan Island in China with Decomposed Broad Learning before the COVID-19 Pandemic |
| title_fullStr | Forecasting Tourist Arrivals for Hainan Island in China with Decomposed Broad Learning before the COVID-19 Pandemic |
| title_full_unstemmed | Forecasting Tourist Arrivals for Hainan Island in China with Decomposed Broad Learning before the COVID-19 Pandemic |
| title_short | Forecasting Tourist Arrivals for Hainan Island in China with Decomposed Broad Learning before the COVID-19 Pandemic |
| title_sort | forecasting tourist arrivals for hainan island in china with decomposed broad learning before the covid 19 pandemic |
| topic | tourism arrivals tourism forecasting fuzzy entropy empirical wavelet transform broad learning |
| url | https://www.mdpi.com/1099-4300/25/2/338 |
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