Travel behaviour during unplanned train disruptions: Considering changed behaviour due to the COVID-19 pandemic

The aim of this study is to capture heterogeneity in travel behaviour during unplanned train disruptions focusing on the rise of teleworking due to the COVID-19 pandemic to improve train services and help predict passenger flows during disruptions. To perform the analyses, a dataset is elicited from 815 Dutch train commuters by distributing an...

The bidirectional relationships between travel behaviour, attitude and risk perception during the COVID-19 pandemic

Research into the bidirectional relationships between travel behaviour, attitude and risk perception during the COVID-19 pandemic. Using travel data obtained by the NS Panel, a cross-lagged panel model is constructed to analyse the causation in the three predictors for car and train travel.