| Title |
Big Data Based Optimization of Rural Ecotourism Industry Structure for a Smart City |
| ID_Doc |
41475 |
| Authors |
Huang, K |
| Title |
Big Data Based Optimization of Rural Ecotourism Industry Structure for a Smart City |
| Year |
2023 |
| Published |
Journal Of Testing And Evaluation, 51, 3 |
| DOI |
10.1520/JTE20220056 |
| Abstract |
In order to improve the economic level of farmers and upgrade the structure of the rural tourism industry, the internet is used to optimize the structure of the rural ecotourism industry under big data. Tourism information resources are integrated from travel agency data, tour guide data, scenic area data, and hotel data. Based on the integrated data, the optimizing and upgrading idea of the rural ecotourism industry structure was proposed: build a public service platform for rural smart tourism to gather the rural development elements, change the form of the rural tourism market structure development, and establish a coconstructed and shared rural tourism development model. Based on the basic development ideas, developing new business forms, reconstructing the rural tourism industry chain, and analyzing the specific development path of experiential tourism product are necessary. It can be seen from the experiment that the tourism industrial structure optimization is conducive to promoting the development of urbanization and is also of great significance to the improvement of the farmer economic level. |
| Author Keywords |
big data; internet; ecotourism; industrial structure optimization |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000883012200001 |
| WoS Category |
Materials Science, Characterization & Testing |
| Research Area |
Materials Science |
| PDF |
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