The article considers the attitude of smart city residents towards the use of web applications
in everyday life. It is very important for many stakeholders since it affects the involvement of …

Socioeconomic segregation patterns in networks usually evolve gradually, yet they can
change abruptly in response to external shocks. The recent COVID-19 pandemic and the …

While segregation is usually evaluated at the residential level, the recent influx of large
streams of data describing urbanites' movement across the city allows to generate detailed …

Thanks to the use of geolocated big data in computational social science research, the
spatial and temporal heterogeneity of human activities is increasingly being revealed …

Urban planning still lacks appropriate standards to define city boundaries across urban
systems. This issue has historically been left to administrative criteria, which can vary …

This research attempts to build a unified framework for distinguishing the spatiotemporal visit
patterns of urban places by different social groups using mobile phone data in Harbin …

In this paper, we propose a correction of the Mobility Entropy indicator (ME) used to describe
the diversity of individual movement patterns as can be captured by data from mobile …

In this chapter, the authors develop one such quality assessment for home detection
methods from call detailed record (CDR) data. They argue that little research exists on the …

The dynamic monitoring of home and workplace distribution is a fundamental building block
for improving location-based service systems in fast-developing cities worldwide. Inferring …

Digital location traces are a relevant source of insights into how citizens experience their
cities. Previous works using call detail records (CDRs) tend to focus on modeling the spatial …