The year 2014 marked the rapid expansion of big data in urban studies and planning
practices in China. Big data has advantages of revealing individual characteristics rather …

Big data is among the most promising research trends of the decade, drawing attention from
every segment of the market and society. This paper provides the scientific community with a …

Commuting reflects the long-term travel behavior of people and significantly impacts urban
traffic congestion and emission. Recent advances in data availability provide new …

Reliable and accurate short-term subway passenger flow prediction is important for
passengers, transit operators, and public agencies. Traditional studies focus on regular …

The rapid growth of internet based ride-sharing brings great changes to residents' travel and
city traffic. However, few studies had employed empirical data to examine the unique travel …

Traffic flow prediction is an integral part of an intelligent transportation system and thus
fundamental for various traffic-related applications. Buses are an indispensable way of …

Although smart card fare data has recently become more prevalent as a rich, comprehensive
and continuous source of information, there is still some missing information which inhibits …

The rapid development of wireless infrastructure and data acquisition technologies
contributes to the explosive growth of data, especially trajectory data with rich information …

流空间是认识城市网络结构和演化的重要手段. 近年来大数据的快速发展为流空间研究提供了新
的机遇和挑战. 论文系统综述了基于大数据的流空间研究进展. 首先, 论文梳理了基于大数据流 …

In this paper, we proposed a new method to extract travel patterns for transit riders from
different public transportation systems based on temporal motif, which is an emerging notion …