Table 3 Negative binomial regression results of bicycle and motorcycle theft.

From: Revealing the differences in bicycle theft and motorcycle theft: spatial patterns and contributing factors

 

Model 1 (bicycle theft)

Model 2 (motorcycle theft)

 

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

  1. ***p < 0.001, **p < 0.01, *p < 0.05.