Adverse neighborhood conditions play an important role beyond individual characteristics.
There is increasing interest in identifying specific characteristics of the social and built …

Urban computing is an emerging area of investigation in which researchers study cities
using digital data. Location-Based Social Networks (LBSNs) generate one specific type of …

The widely use of positioning technology has made mining the movements of people
feasible and plenty of trajectory data have been accumulated. How to efficiently leverage …

There is little knowledge available on the spatial behaviour of urban tourists, and yet tourists
generate an enormous quantity of data when they visit cities. These data sources can be …

Mobile data has allowed us to sense urban dynamics at scales and granularities not known
before, helping urban planners to cope with urban growth. A frequently used kind of dataset …

Social media data has frequently sourced research on topics such as traveller planning or
the factors that influence travel decisions. The literature on the location of tourist activities …

Hospital Emergency Departments (EDs) are essential for providing emergency medical
services, yet often overwhelmed due to increasing healthcare demand. Current methods for …

Data generated on location-based social networks provide rich information on the
whereabouts of urban dwellers. Specifically, such data reveal who spends time where …

Medically underserved populations in the United States continue to experience higher
cancer burdens of incidence, mortality, and other cancer-related outcomes. It is imperative to …

Nowadays, human movement in urban spaces can be traced digitally in many cases. It can
be observed that movement patterns are not constant, but vary across time and space. In this …