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Table 4 Parameter estimations from the global Poisson regression model

From: Spatial heterogeneity of the relationships between environmental characteristics and active commuting: towards a locally varying social ecological model

  Variable Log-odds OR Wald 95% CI p-value
  Intercept −0.10 0.91 0.68 1.21 0.498
Individual level Age 0.00 1.00 1.00 1.01 0.085
Gender (ref = male) 0.04 1.04 0.96 1.12 0.393
Education (ref = < high school) −0.12*** 0.89 0.82 0.96 <.0001
Parking at work (ref = yes) −0.29*** 0.75 0.69 0.80 <.0001
Transit pass (ref = yes) −0.05 0.95 0.88 1.03 0.148
Commuting time (ref = 1st tertile) 0.67*** 1.96 1.87 2.05 <.0001
Number of vehicles owned −0.19*** 0.83 0.79 0.87 <.0001
Number of bikes owned 0.09*** 1.10 1.07 1.13 <.0001
Environmental level PC1 (densely built-up areas) 0.05*** 1.05 1.03 1.07 <.0001
PC2 (well-to-do areas) 0.01 1.01 0.99 1.03 0.496
Neighborhood perception (too much pollution and not clean) (0 = strongly agree; 5 = strongly disagree) 0.04** 1.04 1.02 1.06 0.001
  1. ***p < 0.001, **p < 0.01.