The last decade has witnessed very active development in two broad, but separate fields,
both involving understanding and modeling of how individuals move in time and space …

Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …

Parks and other green spaces are an important part of sustainable, healthy and socially
equal urban environment. Urban planning and green space management benefit from …

In this work, we present methods to estimate average daily origin–destination trips from
triangulated mobile phone records of millions of anonymized users. These records are first …

Travel behaviour has been studied for decades to guide transportation development and
management, with the support of traditional data collected by travel surveys. Recently, with …

Rapid urbanization is placing increasing stress on already burdened transportation
infrastructure. Ubiquitous mobile computing and the massive data it generates presents new …

Fast urbanization generates increasing amounts of travel flows, urging the need for efficient
transport planning policies. In parallel, mobile phone data have emerged as the largest …

Recently, some studies have shown that human movement patterns are strongly associated
with regional socioeconomic indicators such as per capita income and poverty rate. These …

In this study, with Singapore as an example, we demonstrate how we can use mobile phone
call detail record (CDR) data, which contains millions of anonymous users, to extract …

Smart cities aim to improve the citizens' quality of life by leveraging information about urban
scale processes extracted from heterogeneous data sources collected on city-wide …