Table 4 Parameter estimations from the global Poisson regression model

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