Table 1 Descriptive statistics of dependent and independent variables.
Variables | Code | Mean | SD | Min | Max |
|---|---|---|---|---|---|
Dependent variables: | |||||
 Bicycle theft (count) | y1 | 0.760 | 2.117 | 0 | 38 |
 Motorcycle theft (count) | y2 | 0.972 | 2.740 | 0 | 29 |
Independent variables: | |||||
 Car parks (#) | X1 | 11.760 | 14.732 | 0 | 274 |
 Bus stops (#) | X2 | 3.709 | 4.761 | 0 | 99 |
 Subway stations (#) | X3 | 0.367 | 1.212 | 0 | 16 |
 Shops (#) | X4 | 7.189 | 10.670 | 0 | 140 |
 Internet cafes (#) | X5 | 1.265 | 2.264 | 0 | 25 |
 Residential land area (m2) | X6 | 188525.600 | 222877.480 | 33.969 | 2419671.500 |
 Proportion of migrant population (%) | X7 | 0.422 | 0.229 | 0 | 0.980 |
 Proportion of the low-educated (%) | X8 | 0.483 | 0.170 | 0.017 | 0.912 |
 Proportion of low-income residents (%) | X9 | 0.184 | 0.037 | 0.055 | 0.559 |
 Surveillance cameras (#) | X10 | 2.519 | 7.343 | 0 | 111 |
 Ambient population density (#/km2) | X11 | 21227.550 | 25715.250 | 7.418 | 494560.700 |
 Restricted motorcycle area (dummy) | X12 | 0.417 | 0.493 | 0 | 1 |
