Biases in self-reported travel behaviour: effects on self-reported travel distance, travel time and rain prevalence

Abstract

Travel time and distance are key variables in evaluating transport planning decisions. However, people's perceptions and experiences often differ from objectively measured conditions. Therefore, this paper assesses the effect of different socio-demographic variables, travel habits, and mobility options on self-reported travel distance, travel time, and rain prevalence. Data from a survey on the potential use of e-bikes are analysed using logistic regression models. The most important conclusion from this paper is that travel distances in self-reported surveys are often overestimated, especially when these distances are short. Travel times are better estimated.