Research on the development mode of cultural tourism industry based on the concept of low carbon and environmental protection by big data analysis
In order to build a low-carbon and environmentally friendly cultural tourism business, this research analyzes data on user characteristics, tourist attractions, and functional qualities. The clustering technique is used to examine the clustering features of the industry development, and the spatial...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.00606 |
| _version_ | 1797340762107543552 |
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| author | Zhang Wei Lu Xucai Han Ping |
| author_facet | Zhang Wei Lu Xucai Han Ping |
| author_sort | Zhang Wei |
| collection | DOAJ |
| description | In order to build a low-carbon and environmentally friendly cultural tourism business, this research analyzes data on user characteristics, tourist attractions, and functional qualities. The clustering technique is used to examine the clustering features of the industry development, and the spatial variation characteristics of the industry development are developed with the aid of the closest neighbor index, standard ellipse, and kernel density estimation methods. In order to analyze the degree of development of this industry, the integration degree model was constructed by the entropy weighting method. The analysis shows that the growth rate of the central and western regions is 32.2% and 28.8%, respectively, while the growth rate of the eastern region is 22.7%. The integration degree of the eastern region ranges from 0.12 to 0.85, the integration degree of the western region ranges from 0.18 to 0.9, and the integration degree of the central region ranges from 0.2 to 0.8. Based on this study, the integration development of the low-carbon environmental protection concept and the cultural tourism industry is thriving. |
| first_indexed | 2024-03-08T10:08:01Z |
| format | Article |
| id | doaj.art-b89bbb9e0543405f8308c8c583fb9d05 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:08:01Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-b89bbb9e0543405f8308c8c583fb9d052024-01-29T08:52:34ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00606Research on the development mode of cultural tourism industry based on the concept of low carbon and environmental protection by big data analysisZhang Wei0Lu Xucai1Han Ping21School of Economics, Harbin University of Commerce, Harbin, Heilongjiang, 150028, China.3Heilongjiang Agricultural Economy Vocational College, Mudanjiang, Heilongjiang, 157041, China.1School of Economics, Harbin University of Commerce, Harbin, Heilongjiang, 150028, China.In order to build a low-carbon and environmentally friendly cultural tourism business, this research analyzes data on user characteristics, tourist attractions, and functional qualities. The clustering technique is used to examine the clustering features of the industry development, and the spatial variation characteristics of the industry development are developed with the aid of the closest neighbor index, standard ellipse, and kernel density estimation methods. In order to analyze the degree of development of this industry, the integration degree model was constructed by the entropy weighting method. The analysis shows that the growth rate of the central and western regions is 32.2% and 28.8%, respectively, while the growth rate of the eastern region is 22.7%. The integration degree of the eastern region ranges from 0.12 to 0.85, the integration degree of the western region ranges from 0.18 to 0.9, and the integration degree of the central region ranges from 0.2 to 0.8. Based on this study, the integration development of the low-carbon environmental protection concept and the cultural tourism industry is thriving.https://doi.org/10.2478/amns.2023.2.00606user profilingdata miningentropy weighting methodclosest neighbor indexcultural tourism91-02 |
| spellingShingle | Zhang Wei Lu Xucai Han Ping Research on the development mode of cultural tourism industry based on the concept of low carbon and environmental protection by big data analysis Applied Mathematics and Nonlinear Sciences user profiling data mining entropy weighting method closest neighbor index cultural tourism 91-02 |
| title | Research on the development mode of cultural tourism industry based on the concept of low carbon and environmental protection by big data analysis |
| title_full | Research on the development mode of cultural tourism industry based on the concept of low carbon and environmental protection by big data analysis |
| title_fullStr | Research on the development mode of cultural tourism industry based on the concept of low carbon and environmental protection by big data analysis |
| title_full_unstemmed | Research on the development mode of cultural tourism industry based on the concept of low carbon and environmental protection by big data analysis |
| title_short | Research on the development mode of cultural tourism industry based on the concept of low carbon and environmental protection by big data analysis |
| title_sort | research on the development mode of cultural tourism industry based on the concept of low carbon and environmental protection by big data analysis |
| topic | user profiling data mining entropy weighting method closest neighbor index cultural tourism 91-02 |
| url | https://doi.org/10.2478/amns.2023.2.00606 |
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