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Table 3 Results of binomial logistic regression with streetscape indicators and their interaction terms (Model B)

From: Analysis of the risk of theft from vehicle crime in Kyoto, Japan using environmental indicators of streetscapes

 

Log odds

95% CI

p-value

(Intercept)

− 1.07

[− 1.31, − 0.84]

 < 0.001a

Convenience stores

0.64

[0.28, 1.00]

 < 0.001a

Wall × Fence

0.27

[0.12, 0.44]

 < 0.001a

Vegetation × Building

− 0.29

[− 0.48, − 0.11]

0.002b

Building × Road

0.24

[0.08, 0.41]

0.003b

Street length

− 0.30

[− 0.51, − 0.10]

0.004b

Gas stations

1.14

[0.35, 1.97]

0.005b

Building × Sidewalk

− 0.30

[− 0.52, − 0.09]

0.007b

Vegetation × Wall

− 0.34

[− 0.62, − 0.12]

0.011c

Straightness (100 m)

− 0.19

[− 0.37, 0.00]

0.045c

Vegetation

− 0.32

[− 0.65, − 0.01]

0.050c

Road

0.27

[− 0.01, 0.55]

0.057d

Vegetation × Sidewalk

− 0.14

[− 0.30, 0.01]

0.066d

Pachinko parlors

0.67

[− 0.10, 1.45]

0.088d

Parks/Green spaces

1.18

[− 0.27, 2.72]

0.113

Fence

− 0.16

[− 0.37, 0.04]

0.132

Sidewalk

− 0.09

[− 0.27, 0.09]

0.346

Wall

− 0.04

[− 0.27, 0.17]

0.737

Building

0.03

[− 0.27, 0.33]

0.834

AIC

943.66

  

Nagelkerke pseudo R-squared

0.15

  
  1.  × Denotes interaction
  2. CI confidence interval, AIC Akaike information criterion
  3. ap < 0.001
  4. bp < 0.01
  5. cp < 0.05
  6. dp < 0.1
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Crime Science

ISSN: 2193-7680

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