  The importance of timely response to natural disasters and evacuating
affected people to safe areas is paramount to save lives. Emergency services
are often handicapped by the amount of rescue resources at their disposal. We
present a system that leverages the power of a social network forming new
connections among people based on \textit{real-time location} and expands the
rescue resources pool by adding private sector cars. We also introduce a
car-sharing algorithm to identify safe routes in an emergency with the aim of
minimizing evacuation time, maximizing pick-up of people without cars, and
avoiding traffic congestion.
