  Although each year brings rapid advancement in meteorology and forecasting
technology, the threat of natural disasters is not totally predictable.
Predictability, however, still will not guarantee avoidability, thus adequate
time to react to predictions remains a chief concern. Considerable effort by
city authorities is often put forth to prepare for such events by investing in
infrastructure and research on evacuation strategies to minimize the potential
harm to humanity. This study focuses on the development of one of these
evacuation strategies for Manhattan Island. The algorithm proposed is based on
evaluating source destination routes with calculated traffic low densities and
time costs. By utilizing the transshipment LP optimization model, we are able
to understand the optimal throughput of evacuees in targeted exits of lower
Manhattan to remove the population from harm's way in the least amount of time,
assuming a potential natural disaster is forecasted.
