Using Street View Images to Examine the Impact of Built Environment on Street Property Crimes in the Old District of CA City, China

Table 1

Descriptive statistics of dependent and independent variables.

Variable category	Variables	Mean	Std. dev.	Minimum	Maximum	VIF
Dependent variables	Number of crimes for whole day (0:00–23:59)	1.61	2.43	0	15	—
	Number of crimes for before dawn (0:00–6:59)	0.77	1.59	0	9	—
	Number of crimes for daytime (7:00–17:59)	0.58	1.04	0	5	—
	Number of crimes for nighttime (18:00–23:59)	0.27	0.65	0	4	—
Street view variables	Greenness (%)	0.16	0.09	0	0.36	2.68
	Road coverage (%)	0.22	0.08	0	0.36	2.70
	Closeness (%)	0.04	0.03	0	0.18	1.48
	Openness (%)	0.05	0.05	0	0.28	2.32
Formal social control variables	Distance to the nearest police patrol station/km	0.23	0.12	0.01	0.53	1.23
	Police camera	2.30	1.65	0	9	1.36
Built-environment variables	Restaurant	9.05	11.11	0	53	2.37
	Bubble tea and cafe	1.52	2.37	0	14	1.61
	Convenience store	3.15	2.88	0	12	1.99
	Grocery store	1.08	2.75	0	21	1.38
	Bank	0.24	0.58	0	4	1.14
	Bar	1.25	2.38	0	15	1.34