Big Data have emerged and become the norm in the past decade with its well-known 4V
challenges and now adds value (a 5th V) for scientific research and the development of new …

Big data have been used widely in many areas, including the transportation industry. Using
various data sources, traffic states can be well estimated and further predicted to improve the …

Big Data has been utilized extensively in numerous fields, including the transportation
sector. Using several sources of data, traffic conditions can be accurately anticipated and …

As most studies of segregation rely on the evenness dimension, this current study proposes
a graph embedding approach to explore the usefulness of employing the isolation-exposure …

The accurate prediction of travel demand by bus is crucial for effective urban mobility
demand management. However, most models of travel demand prediction by bus tend to …

Operational efficiency and stability are two critical aspects to measure bus systems.
Influenced by many stochastic factors, buses always suffer from delay and bunching …

The urban mobility structure is a summary of individual movement patterns and the
interaction between persons and the urban environment, which is extremely important for …

Detecting urban mobility structure, ie, segmenting urban areas into disjoint clusters with
similar mobility patterns, can facilitate our understanding of how a city is organized and how …

Most of the current existing accessibility measures quantify the potential of reaching
desirable opportunities across space and time. Nevertheless, these potential measurements …

Understanding human movement patterns is of fundamental importance in transportation
planning and management. We propose to examine complex public transit travel patterns …