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 …

Social media data have been widely used in natural sciences and social sciences in the
past 5 years, benefiting from the rapid development of deep learning frameworks and Web …

The current COVID-19 pandemic has profoundly impacted people's lifestyles and travel
behaviours, which may persist post-pandemic. An effective monitoring tool that allows us to …

Urban agglomeration is an important strategy used to promote economic development and
urbanization in China. Understanding the structure of urban agglomeration is therefore …

In smart cities, the development of urban regions stands as a fundamental pillar in the
planning process, significantly influencing the overall urban living experience. Effective …

In the context of rapid urbanization, urban spaces not only accommodate a growing
population but also produces complex socio-economic activities and cultural exchanges …

Understanding the intricate relationships between the urban built environment, public
activity, and public perception is vital for effective urban planning strategies and social …

In this article, written for The City Reader in 2019, Michael Batty, director of University
College London's Centre for Advanced Spatial Analysis, describes the smart city movement …

The emergence of Web 2.0 and mobile Internet produces massive user-generated content
(UGC), including geo-tagged photos, social network posts, street view images, and …

In the last years, there has been an ever-increasing interest in profiling various aspects of
city life, especially in the context of smart cities. This interest has become even more relevant …