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.

This report is not only the final result of the design made for the Infrastructure and Environment Design course (Q4 - Urbanism) but considerably more a representation of the entire learning process and the path towards the goal itself. The aim of this course was to investigate water related urban- and engineering designs in delta metropoles. The international context of the Bayou City of Houston (Texas, USA), its long flooding history, but also the contemporary state of the city made it a very interesting but also challenging task.