Table 4.

Modelling results of DCE data

	Conditional logit	Mixed logit	Conditional logit rescaled	Mixed logit rescaled
mo2	− 0.386**	− 0.587**	− 0.048**	− 0.036**
mo3	− 1.890**	− 3.146**	− 0.235**	− 0.191**
sc2	− 0.319**	− 0.458**	− 0.040**	− 0.028**
sc3	− 1.315**	− 2.293**	− 0.163**	− 0.139**
ua2	− 0.683**	− 0.949**	− 0.085**	− 0.058**
ua3	− 2.117**	− 3.474**	− 0.263**	− 0.211**
pd2	− 1.125**	− 1.826**	− 0.140**	− 0.111**
pd3	− 3.336**	− 5.995**	− 0.415**	− 0.363**
ad2	− 0.849**	− 1.581**	− 0.106**	− 0.096**
ad3	− 2.707**	− 5.175**	− 0.336**	− 0.314**
Pseudo $R^2$	52.16%	–	52.16%	–
Observations	14,385	14,385	14,385	14,385
Respondents	959	959	959	959
AIC	9579	8202	9579	8202

The rows represent the coefficient level dimensions (e.g. mo2 represents mobility level 2)

AIC Akaike Information Criterion, * indicates significance at the 5% level,** indicates significance at the 1% level

Rescaling factor mixed logit: 0.0606. Rescaling factor conditional logit: 0.1243, both based on linear mappings without constant