Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …

Fast urbanization generates increasing amounts of travel flows, urging the need for efficient
transport planning policies. In parallel, mobile phone data have emerged as the largest …

Massive and passive data such as cell phone traces provide samples of the whereabouts
and movements of individuals. These are a potential source of information for models of …

Even though a variety of human mobility models have been recently developed, models that
can capture real-time human mobility of urban populations in a sustainable and economical …

The practice of estimating origin–destination (OD) demand usually requires large-scale
travel surveys. To reduce the cost and time spent on surveys, individual trajectory data …

Traffic prediction plays an essential role in the intelligent transportation systems and has
broad applications in transportation management and planning. And the key to this field is to …

Cellular signaling data provide a massive and emerging source for acquiring urban origin–
destination (OD) travel flow information, supporting decision making on large-scale mobility …

Cellular networks' signaling data provide means for analyzing the efficiency of an underlying
transportation system and assisting the formulation of models to predict its future use. This …

The rapid development of intelligent transportation systems and the emergence of the
sharing economy have given rise to vast amounts of spatiotemporal data. Consequently …

As a symbol of Chinese culture, Chinese traditional-style architecture defines the unique
characteristics of Chinese cities. The visual qualities and spatial distribution of architecture …