The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …

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

The emergence of big data brings new opportunities for us to understand our socioeconomic
environments. We use the term social sensing for such individual-level big geospatial data …

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 …

In this research, we propose a methodology to develop OD matrices using mobile phone
Call Detail Records (CDR) and limited traffic counts. CDR, which consist of time stamped …

Large-scale urban sensing data such as mobile phone traces are emerging as an important
data source for urban modeling. This study represents a first step towards building a …

The recent development of telecommunication networks is producing an unprecedented
wealth of information and, as a consequence, an increasing interest in analyzing such data …

The term'participation'is traditionally used in HCI to describe the involvement of users and
stakeholders in design processes, with a pretext of distributing control to participants to …

Land-use classification is essential for urban planning. Urban land-use types can be
differentiated either by their physical characteristics (such as reflectivity and texture) or social …

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 …