  Current metropolises largely depend on a functioning transport infrastructure
and the increasing demand can only be satisfied by a well organized mass
transit. One example for a crucial mass transit system is New York City's
Staten Island Ferry, connecting the two boroughs of Staten Island and Manhattan
with a regular passenger service. Today's demand already exceeds 2500
passengers for a single cycle during peek hours, and future projections suggest
that it will further increase. One way to appraise how the system will cope
with future demand is by simulation. This contribution proposes an integrated
simulation approach to evaluate the system performance with respect to future
demand. The simulation relies on a multiscale modeling approach where the
terminal buildings are simulated by a microscopic and quantitatively valid
cellular automata (CA) and the journeys of the ferries themselves are modeled
by a mesoscopic queue simulation approach. Based on the simulation results
recommendations with respect to the future demand are given.
