Station Inundation uses Unity and Mapbox to simulate the effects of different events of flooding on NYC subway stations as well as the magnitude and geographic distribution of affected passengers. While the MTA has undertaken token efforts to build climate resilience since Hurricane Sandy, the system remains woefully unprepared. By overlaying the National Oceanographic and Atmospheric Administration’s flood prediction data over Manhattan geography we can see which stations are most at risk. A slider is used to control the level of a hypothetical flood, and four significant remediation strategies from individuals and city organizations can be toggled using buttons in real time. When the floodplain overlaps with a subway station, the station becomes disabled. Using ridership data from the MTA and factoring in the location of the MTA maintenance yards, as well as the track geometry, the project simulates not just how many passengers at an individual flooded station will be affected, but also those along the entire track line.