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Table 6 Simultaneous multiple regression analysis of route environment variables (Model 2, including traffic: unsafe or safe) (n = 805)

From: Exploring bikeability in a metropolitan setting: stimulating and hindering factors in commuting route environments

Outcome variable

y-intercept

p-value

95% CI

 

Hinders or stimulates

6.55

0.000

5.17 - 7.93

 
 

Regression coefficient

Partial correlation

coefficient

Predictor variable

B

p-value

95% CI

 

Exhaust fumes

-0.13

0.001

-0.21 - -0.05

-0.11

Noise

0.01

0.733

-0.07 - 0.10

0.01

Flow of motor vehicles

-0.05

0.240

-0.12 - 0.03

-0.04

Speeds of motor vehicles

-0.01

0.857

-0.08 - 0.07

-0.01

Speeds of bicyclists

0.00

0.999

-0.07 - 0.07

0.00

Congestion: all types of vehicles

-0.05

0.216

-0.12 - 0.03

-0.04

Congestion: bicyclists

0.05

0.130

-0.01 - 0.11

0.05

Conflicts

-0.03

0.380

-0.08 - 0.03

-0.03

Bicycle paths/lanes/roads*

0.00

0.908

-0.06 - 0.07

0.00

Traffic: unsafe or safe

0.16

0.000

0.10 - 0.22

0.19

Greenery

0.12

0.000

0.07 - 0.18

0.15

Ugly or beautiful

0.31

0.000

0.25 - 0.38

0.32

Course of the route

-0.12

0.000

-0.17 - -0.06

-0.15

Hilliness

0.02

0.402

-0.03 - 0.07

0.03

Red lights

-0.02

0.458

-0.07 - 0.03

-0.03

  1. R 2 = 0.435
  2. *Minimal value = 0 and maximal value = 10