Table 3 Negative binomial regression results of bicycle and motorcycle theft.
| Â | Model 1 (bicycle theft) | Model 2 (motorcycle theft) | ||
|---|---|---|---|---|
| Â | Beta | IRR | Beta | IRR |
Car parks | 0.333*** | 1.395 | −0.082 | 0.921 |
Bus stops | 0.008 | 1.008 | 0.252** | 1.286 |
Subway stations | 0.130* | 1.139 | 0.095 | 1.100 |
Shops | 0.086 | 1.089 | 0.416*** | 1.516 |
Internet cafes | 0.214*** | 1.238 | 0.080 | 1.083 |
Residential land area | 0.149** | 1.161 | 0.169** | 1.184 |
Proportion of migrant population | 0.467*** | 1.595 | 0.412*** | 1.510 |
Proportion of the low-educated | −0.26*** | 0.771 | 0.061 | 1.062 |
Proportion of low-income residents | −0.005 | 0.995 | 0.114* | 1.121 |
Surveillance cameras | 0.024 | 1.024 | 0.112*** | 1.118 |
Ambient population density | −0.070 | 0.933 | −0.744*** | 0.475 |
Restricted motorcycle area | - | - | −1.826*** | 0.161 |
AIC | 4362.804 | 4063.456 | ||
BIC | 4436.562 | 4142.888 | ||
Pseudo R2 | 0.092 | 0.197 | ||