Exploring the Spatial Impact of Multisource Data on Urban Vitality: A Causal Machine Learning Method

Table 2

Importance of variables and details.

Categories	Variables	Importance part	Details
			Max	Min	Mean
Point of population	Building area (Ba)	0.001	1210.41	20.46	396.2831
	Population density (Pd)	0.01	34315	577	13024.688
Point of land use	Factory area share (Fas)	0.05	5986	123	1762.688
	Area share of school (Ass)	0.25	777	86	237.75
	Share of office floor space (Sofs)	0.2	2120	80	560.6042
	Share of shopping area (Ssa)	0.15	1820	102	509.6041
	Share of medical area (Sma)	0.15	130	9	47.8125
	Share of accommodation area (Saa)	0.03100	384	23	94.91667
	Area share of film area (Asfa)	0.1100	15	1	4.58333
	Share of park area (Spa)	0.03	790.38	16.99	194.0304
Point of interest (POI)	Food service density (Fsd)	0.15	0.234502	0.11793	0.065625
	Science and education service density (Sed)	0.25	0.212796	0.01	0.064312
	Health service density (Hsd)	0.25	0.23233	0.01724	0.063125
	Life service density (Lsd)	0.2	0.28812	0.001	0.06351
	Density of scenic spots (Dss)	0.1	0.19126	0.02	0.06291
	Transportation density (Td)	0.05	0.355389	0.01	0.106465