Urban network analytics has become an essential tool for understanding and modeling the
intricate complexity of cities. We introduce the Urbanity data repository to nurture this …

Urban networks play a vital role in connecting multiple urban components and developing
our understanding of cities and urban systems. Despite the significant progress we have …

As the majority of the global population resides in cities, it is imperative to understand urban
well-being. While cities offer concentrated social and economic opportunities, the question …

This paper presents a deep auto-encoder model and a phased framework approach to
predict the next 12 h of vessel trajectories using 1 to 3 h of Automatic Identification System …

The quest for a theory of cities that could offer a quantitative and systematic approach to
managing cities represents a top priority. If such a theory is feasible, then its formulation …

Identifying the driving factors of urban development and revealing its growth path is an
important step toward better understanding the dynamic process of urban evolution. We …

Accurately estimating commuting flow is essential for optimizing urban planning and traffic
design. The latest graph neural network (GNN) model with the encoder-decoder-predictor …

Inter-city interactions are critical for the transmission of infectious diseases, yet their effects
on the scaling of disease cases remain largely underexplored. Here, we use the commuting …

Urban outputs, from economy to innovation, are known to grow as a power of a city's
population. But, since large cities tend to be central in transportation and communication …

Due to their centrality, some cities with a strategic position in the urban network become
hubs for trade and benefit from the spillover effects of being close to more people. Yet …