Urban rail transit supports the development of megacities, while changes in urban spatial
structure affect the structure of urban rail transit networks and the carbon emissions of …

Due to the wide-spread use of disruptive digital technologies like mobile phones, cities have
transitioned from data-scarce to data-rich environments. As a result, the field of …

There is a Chinese proverb which states “Where there are Shaxian Snacks, there are
generally Lanzhou Ramen nearby”. This proverb reflects the characteristics of spatial …

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 …

As a crucial travel mode, taxi plays a significant role in residents' daily travel. Uncovering taxi
traffic demand has become a hotspot in transport studies. Previous researchers pay more …

The dynamic population distributions by activity type (eg working, shopping or in-home) are
vital for resource allocation, urban planning and epidemic containment. Although studies …

With the rapid development of electric vehicles (EVs) around the world, debates have arisen
with regard to their impacts on people's lifestyles and urban space. Mining spatio-temporal …

Urban street shadows can provide essential information for many applications, such as the
assessment and protection of ecology and environment, livability evaluation, etc. In this …

Exploring urban travelling hotspots has become a popular trend in geographic research in
recent years. Their identification involved the idea of spatial autocorrelation and spatial …

Spatial heterogeneity patterns in cities are an essential topic in geographic research and
urban planning. This paper analyzes the spatial heterogeneity of places and reflects on the …