Uncovering the factors influencing the vitality of traditional villages using POI (point of interest) data: a study of 148 villages in Lishui, China

Heritage Science

Table 4 Summary of the OLS results: model parameters and diagnostics

	Variable	Standardized coefficients	t_	Sig.	Collinearity statistics		Model summary
		Beta			Tolerance	VIF
	Intercept		28.196	0.000^***		–	Number of observations	148
X1	Topographic relief	− 0.214	− 3.769	0.000^***	0.866	1.155	R	0.785
X2	Elevation	− 0.193	− 2.736	0.007^***	0.561	1.783	R²	0.616
X3	Distance to primary education	− 0.145	− 1.483	0.048^**	0.292	3.430	Adj. R²	0.601
X4	Distance to medical facility	0.068	0.870	0.386	0.452	2.213	Std. error	0.940
X5	Distance to transportation facility	− 0.119	− 1.712	0.089^*	0.578	1.730	Durbin-Watson	2.021
X6	Distance to agricultural bases	− 0.107	− 1.771	0.079^*	0.755	1.324
X7	Distance to industry	− 0.086	− 0.849	0.397	0.271	3.687
X8	Distance to scenic spots	− 0.160	− 2.010	0.008^***	0.439	2.280
X9	Distance to commercial industry	− 0.243	− 3.409	0.001^***	0.549	1.822

*The correlation is significant at the 0.1 level; **the correlation is significant at the 0.05 level;*** the correlation is significant at the 0.01 level