Research Article
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 |
|
|