is further complicated by the need for constant expansion of the transit system to accommodate
a growing population. The addition of new lines, stations and interchanges cause various
complex changes to the ridership thus modifying the utility of all stations within the system.
It is therefore difficult to predict the impact of these changes on the robustness and economic
viability of the system. Transport planners would therefore have to design based on an excess
flow model instead of optimal flow model in order to accommodate these changes within the
transport system. In this paper, we offer a simple procedure that uses network analysis to
extract relevant structural information from a rail network and predicting to within a reasonable
accuracy, the distribution of passenger throughput. Although this methodology assumes that
the pattern of passenger travel would in fact conform to the capacity of the network, we show
that for our purpose, this is sufficient. It is therefore hoped that by using this prediction,
transport planners can have a basic understanding of the effect of structural changes to the
network and adjust the capacity of the network accordingly so as to maximise the utility of the
transport system.