Research Article
Prediction of Urban and Rural Tourism Economic Forecast Based on Machine Learning
Table 1
Index system of influencing factors of tourism income.
| | Explained variable | First level indicator | Secondary indicators |
| | Domestic tourism income | Socioeconomic factors | Added-value of tertiary industry | | Regional per capita production value | | Residents’ living standards | Per capita disposable income of urban residents | | Per capita consumption expenditure of urban residents | | The total retail sales of social consumer goods | | Traffic convenience | Passenger turnover | | Passenger volume | | Kilometers, railway density | | Tourism resources and services | Number of star-rated hotels | | Number of travel agencies | | Number of A-level and above sceneries | | Environmental quality factors | Green area rate of built-up area | | Harmless treatment rate of domestic garbage | | Regional demographic factors | Permanent population at the end of the year | | Number of students in the university |
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