Emerging big datasets about human mobility provide new and powerful ways of studying
cities and addressing various urban issues. However, human mobility has usually been …

Modeling and estimating urban human mobility flows is significant to multidisciplinary
applications such as transportation engineering, urban planning and epidemic prevention …

Understanding the patterns of urban human mobility has played an important role in multiple
disciplines such as urban planning, transportation engineering and social sciences. Due to …

The decarbonization of the transport system requires a better understanding of human
mobility behavior to optimally plan and evaluate sustainable transport options (such as …

Digital Twin (DT) offers a novel framework to track, model, analyze, and anticipate complex
urban processes and support data-driven decision-making. However, a premise of …

Transportation electrification aims to mitigate climate change but will also introduce
challenges to adaptation planning and management of infrastructure and facilities …

Crowding events, which pose tremendous pressure to city management and society safety,
are a typical manifestation of anomalous human mobility in metropolitan areas. However, we …

Human mobility is of importance in supporting smart cities, urban planning and constructions
of resilient environments. Previous studies on dominant mobility models (ie, gravity and …

Accurate prediction of individual mobility is crucial for develo** intelligent transportation
systems. However, while previous models usually focused on predicting individual mobility …

It is important to capture passengers' public transit behavior and their mobility to create
profiles, which are critical for analyzing human activities, understanding the social and …