Next Generation Urban Emergency Management: When Human Emergency Mobility Modeling Meets Big Data
The frequency and intensity of natural disasters has significantly increased over past decades and this trend is predicted to continue. Facing these possible and unexpected disasters, urban emergency management has become a problem for governments across the world. To plan effective humanitarian relief, transportation scheduling, disaster management and long-term societal reconstruction, modeling, understanding and accurately predicting human “emergency behavior and mobility” will play a most important role for the next generation of urban emergency management. Hence, our research aims to understand what basic laws govern human behavior and mobility following emergency events by mining big and heterogeneous data, to develop deep and powerful models for human emergency mobility prediction and simulation, and implement intelligent system for next-generation urban emergency management.