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Table 2 Covariates, coefficient estimates, OR, 95% CI and p-values of the multiple logistic regression model

From: Assessing the market potential of electric bicycles and ICT for low carbon school travel: a case study in the Smart City of ÁGUEDA

Covariate

Coefficient estimate

OR

95% CI

p-value

Intercept

0.832

2.299

(1.105, 5.343)

0.0350

Cost (>25%)

−1.916

0.147

(0.076, 0.245)

<0.001

Cost (>50%)

−2.775

0.062

(0.024, 0.127)

<0.001

Length of cycling infrastructure (50%)

0.824

2.281

(1.250, 4.686)

0.0116

Length of cycling infrastructure (100%)

1.866

6.465

(3.493, 13.924)

<0.001

ICT equipment (yes)

0.548

1.730

(0.847, 3.307)

0.0968

Cycling travel time (20 min higher)

−1.156

0.315

(0.178, 0.511)

<0.001

Cycling travel time (30 min higher)

−2.483

0.084

(0.038, 0.158)

<0.001

School (Marques Castilho)

0.401

1.493

(1.032, 2.179)

0.0355

Previous e-bike experience (>10 years)

0.712

2.037

(1.436, 2.915)

<0.001

Socio-economic group (high)

0.980

2.664

(1.690, 4.220)

<0.001

Socio-economic group (low)

−0.226

0.798

(0.546, 1.158)

0.2381

  1. Log Likelihood: −435.892
  2. McFadden R2: 0.222