  Due to the covid19 crisis, public transport (PT) systems are facing new
challenges. Regarding restrictive measures such as physical distancing and the
successive returning of passengers after the intelligent lockdown, significant
lack of transport capacity can be expected. In this paper, the transport
capacity of a PT network is assessed, using a mathematical passenger route
choice and train scheduling model. By analysing the overall number of
transported passengers and the resulting link and train utilization; the
networks capabilities of facilitating different demands under capacity
restrictions (e.g. physical distancing) are addressed. The analysis is
performed on the Dutch railway network. The results show that at most 50% of
the pre-covid19 demand can be transported, while most of the trains will be
highly utilized reaching their maximum occupation. Thus, significantly more
parts of the network are becoming highly utilized, leading to a more congested
and vulnerable system than in normal conditions before covid19.
