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