Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

With the rapid development of urbanization and public transportation system, the number of
traffic accidents have significantly increased globally over the past decades and become a …

The term “disaster management” comprises both natural and man-made disasters. Highly
pervaded with various types of sensors, our environment generates large amounts of data …

Predicting the density and flow of the crowd or traffic at a citywide level becomes possible by
using the big data and cutting-edge AI technologies. It has been a very significant research …

Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …

Recently, big and heterogeneous human mobility data inspires many revolutionary ideas of
implementing machine learning algorithms for solving some traditional social issues, such …

Big human mobility data are being continuously generated through a variety of sources,
some of which can be treated and used as streaming data for understanding and predicting …

In the domain of emergency management during hazard crises, having sufficient situational
awareness information is critical. It requires capturing and integrating information from …

Rapidly developing location acquisition technologies provide a powerful tool for
understanding and predicting human mobility in cities, which is very significant for urban …

In recent decades, the frequency and intensity of natural disasters has increased
significantly, and this trend is expected to continue. Therefore, understanding and predicting …