In the process of urban development, spatial structure within cities undergoes great
changes, where the rural areas are surrounded by newly urban blocks, leading to the …

This study proposes a data-driven framework for understanding the space-time patterns of
exposure and contribution of different activities to traffic congestion in urban road networks …

The rise of dockless bike-sharing systems has led to increased interest in using bike-sharing
data for sustainable transportation and travel behavior research. However, these studies …

Spatial co‐location pattern (CP) mining can discover sets of geographical features
frequently appearing in adjacent locations, which is valuable for comprehending the co …

With the advancement of urban modernization, more and more residents are flocking to
large cities, leading to problems such as severe traffic congestion, uneven distribution of …

Activity pattern prediction is a critical part of urban computing, urban planning, intelligent
transportation, and so on. Based on a dataset with more than 10 million GPS trajectory …

With the increasing number of residents and motor vehicles in urban areas, traffic-related
problems have emerged. Traffic analysis and prediction systems provide information about …

Street Networks, knitted in the urban fabric, facilitate spatial movement and control the flow
of urbanization. The interrelation between a city's spatial network and how the residents …

The semantic representation of the trajectory is conducive to enrich the content of trajectory
data mining. A trajectory summarisation generation method based on the mobile robot …

O comportamento coletivo da matéria ativa abrange uma ampla diversidade existente de
seres vivos, podendo ser observado desde sistemas microscópicos até sistemas em grande …