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Current metropolises largely depend on a functioning transport infrastructureand the increasing demand can only be satisfied by a well organized masstransit. One example for a crucial mass transit system is New York City'sStaten Island Ferry, connecting the two boroughs of Staten Island and Manhattanwith a regular passenger service. Today's demand already exceeds 2500passengers for a single cycle during peek hours, and future projections suggestthat it will further increase. One way to appraise how the system will copewith future demand is by simulation. This contribution proposes an integratedsimulation approach to evaluate the system performance with respect to futuredemand. The simulation relies on a multiscale modeling approach where theterminal buildings are simulated by a microscopic and quantitatively validcellular automata (CA) and the journeys of the ferries themselves are modeledby a mesoscopic queue simulation approach. Based on the simulation resultsrecommendations with respect to the future demand are given.

Cellular Automaton Based Simulation of Large Pedestrian Facilities - A Case Study on the Staten Island Ferry Terminals