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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