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Dataset Information

Analysing the impact of COVID-19 risk perceptions on route choice behaviour in train networks.


ABSTRACT:

Introduction

Unlike previous pandemics, COVID-19 has sustained over a relatively longer period with cyclical infection waves and numerous variants. Public transport ridership has been hit particularly hard. To restore travellers' confidence it is critical to assess their risk determinants and trade-offs.

Methods

To this end, we survey train travellers in the Netherlands in order to: (i) quantify the impact of trip-specific, policy-based, and pandemic-related attributes on travellers' COVID-19 risk perceptions; and (ii) evaluate the trade-off between this risk perception and other travel attributes. Adopting the hierarchical information integration approach, in a two-stage stated preference experiment, respondents are asked to first rate how risky they perceive different trav

SUBMITTER: Shelat S 

PROVIDER: S-EPMC8893614 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature