Impacts of COVID-19 Risk Perceptions on Train Travel Decisions: A Hierarchical Information Integration Analysis

Impacts of COVID-19 Risk Perceptions on Train Travel Decisions: A Hierarchical Information Integration Analysis

van de Wiel, Thijs (TU Delft Civil Engineering and Geosciences)

Cats, O. (mentor)
Shelat, S. (mentor)
Molin, E.J.E. (mentor)
van Lint, J.W.C. (mentor)

Delft University of Technology

Transport, Infrastructure and Logistics

2021-03-24

The number of passengers using public transport has decreased drastically as a consequence of the global coronavirus pandemic in 2020. This study aimed to retrieve the importance of the perceived risk of getting infected with the coronavirus in choosing to go by train in the Netherlands. With a Hierarchical Information Integration approach it was possible to retrieve the perceived importance of different risk factors on the likelihood to get infected and evaluate this with respect to the taste for travel time and travel costs. After collecting 408 responses, a multiple linear regression revealed that on-board crowdedness was perceived as the most important risk factor. With discrete choice modelling we were able to calculate that an average traveller is willing to pay around 0,88 euros to reduce the seating occupancy with 10%. Furthermore, we were able to conclude that both the obligation to use face masks and extra cleansing of contact surfaces negatively influence the perceived risk and thereby increase the chances of going by train. Since extra cleansing is not extensively done yet in Dutch trains, it could, together with reducing crowding levels, be the key to nudge people back into the train.

COVID-19
Risk perception
Public transport
Hierarchical Information Integration
Stated Choice Experiments

http://resolver.tudelft.nl/uuid:ad83794c-fc52-41c3-8a27-276187c5b81e

Student theses

master thesis

© 2021 Thijs van de Wiel