Skip to main content

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