The reliability of urban passenger trains is a critical performance me
asure for passenger satisfaction and ultimately market share,A delay t
o one train in a peak period can have a severe effect on the schedule
adherence of other trains. This paper presents an analytically based m
odel to quantify the expected positive delay for individual passenger
trains and track links in an urban rail network. The model specificall
y addresses direct delay to trains, knock-on delays to other trains, a
nd delays at scheduled connections. A solution to the resultant system
of equations is found using an iterative refinement algorithm. Model
validation, which is carried out using a real-life suburban train netw
ork consisting of 157 trains, shows the model estimates to be on avera
ge within 8% of those obtained from a Large scale simulation. Also dis
cussed, is the application of the model to assess the consequences of
increased scheduled slack time as well as investment strategies design
ed to reduce delay.