Analyses of mixed survey mode effects in the German national travel survey 2017

Abstract

Abstract The paper analyzes the survey mode effects observed in the recent German national household travel survey “MiD 2017 – Mobility in Germany” with focus on the observed mobility behavior and survey mode preferences. In order to disentangle survey mode selection and survey mode measurement effects, multivariate regression models where used to control for socio-demographic factors. The results strengthen the assumption that hard facts like daily travel show no substantial mode measurement effects and mixed mode surveys improve the coverage of the target population. But beside the envisaged mode selection effects that result in a better coverage of the target population we also identified indications for survey mode measurement effects concerning the number of reported trips. The authors intend to raise awareness of the advantages of elaborated mixed mode survey designs and to contribute to a sound discussion of mode measurement effects in transport surveys.