Unsupervised learning (UL) has a long and successful history in untangling the complexity
of cities. As the counterpart of supervised learning, it discovers patterns from intrinsic data …

空间交互是理解地表人文过程的重要基础, 与空间依赖一起共同体现了地理空间的独特性,
关联性以及对嵌入该空间的地理分布格局的影响, 具有鲜明的时空属性, 因此对于地理学研究 …

A proper understanding of urban functions is fundamental to prevent urban problems and
promote better built environments. While previous studies focus mainly on inferring urban …

Urban functional regions are essential information in parsing urban spatial structure. The
rapid and accurate identification of urban functional regions is important for improving urban …

In recent decades, transit-oriented development (TOD) has been considered as an effective
way to alleviate the negative impacts of rapid urbanization. The ridership of rail stations is an …

This study describes the integration and analysis of travel smart card data (SCD) with points
of interest (POIs) from social media for a case study in Shenzhen, China. SCD ticket price …

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 …

Massive taxi trajectory data can be easily obtained in the era of big data, which is helpful to
reveal the spatiotemporal information of human travel behavior but neglects activity …

The structure and properties of urban public transport networks are important for
understanding the mobility of public transport systems. However, most studies have ignored …

Individual mobility patterns are an important factor in urban traffic planning and traffic flow
forecasting. How to understand the spatio-temporal distribution of passengers deeply and …