The COVID-19 pandemic poses unprecedented challenges around the world. Many studies
have applied mobility data to explore spatiotemporal trends over time, investigate …

Natural language processing (NLP) has shown potential as a promising tool to exploit under-
utilized urban data sources. This paper presents a systematic review of urban studies …

Scene classification is a highly useful task in Remote Sensing (RS) applications. Many
efforts have been made to improve the accuracy of RS scene classification. Scene …

Extracting hidden information from human mobility patterns is one of the long-standing
challenges of urban studies. In addition, exploring the relationship between urban functional …

The accurate identification of urban functional areas is of great significance for optimizing
urban spatial structure, rationally allocating spatial elements, and promoting the sustainable …

Delineating urban functional use plays a key role in understanding urban dynamics,
evaluating planning strategies and supporting policymaking. In recent years, Points of …

Given the rapid recent trend of urbanization, a better understanding of how urban
infrastructure mediates socioeconomic interactions and economic systems is of vital …

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 …

Urban land use information that reflects socio-economic functions and human activities is
critically essential for urban planning, landscape design, environmental management …

Urbanization is accelerating due to economic and societal development. The accurate
identification of urban functional zones is significant for urban structure optimization, urban …