Remote sensing image products (eg brightness of nighttime lights and land cover/land use
types) have been widely used to disaggregate census data to produce gridded population …

Place is a concept that can hardly be formally captured at the moment, as it is unclear how
instances of places can formally be represented and how conclusions about places can …

Identifying urban building function plays a critical role in understanding the complexness of
urban construction and improving the effectiveness of urban planning. The emergence of …

The aggregation of the same type of socio-economic activities in urban space generates
urban functional zones, each of which has one function as the main (eg, residential …

It is meaningful to analyze urban spatial structure by identifying urban subcenters, and many
methods of doing so have been proposed in the published literature. Although these …

Street view images (SVIs) have great potential for automatic land use classification. Previous
studies have paid little attention to the spatial context of SVIs and land parcels, leaving room …

Understanding population density at a fine spatial scale is beneficial for urban management
and planning. Existing machine learning methods have been widely used to predict the …

Individual driving final destination prediction supports location-based services such as
personalized service recommendations, traffic navigation, and public transport dispatching …

Rapid urbanization and industrialization in China stimulated the great increase of energy
consumption, which leads to drastic rise in the emission of anthropogenic waste heat …

This research designs a new approach by modifying the Fast-Newman algorithm for better
implementing the process of detecting functional urban areas (FUAs) and further revealing …