In this paper, we present a new method for dynamically profiling land use pattern and
generating Origin-Destination matrices from millions of individual mobile phone traces. It is …

Understanding the dynamics of the individuals' daily mobility patterns is very important in a
wide range of fields. However, lacking of tools to monitor the time-resolved location of …

Modeling human mobility and activities in urban systems has been a continuing research
topic in several areas such as transportation planning and behavior modeling. However …

This paper aims at investigating home-based daily mobility patterns in Shanghai. The
dataset consists of Data over Signaling (DoS) from 107,100 anonymous mobile phone …

Land use is shaped by human activities. Traditional methods of measuring land uses (eg
surveys and remote sensing techniques) often have difficulties in capturing human activities …

As the mobile devices are used widely, it is possible to research human mobility and
behaviors by using the increasing mobile phone data. This paper aims to mine travel …

Call detail records (CDRs) containing mass position information allow us to reveal
characteristics about the city dynamics and human behaviors, which are crucial for policy …

In this paper we present methods for mapping trajectories of cell tower latitude-longitudes in
mobile phone data to transport network. Compared to other forms of mobile phone data such …

Travel surveys provide rich information about urban mobility and commuting patterns. But, at
the same time, they have drawbacks: they are static pictures of a dynamic phenomena, are …

Massive and passive data such as cell phone traces provide samples of the whereabouts
and movements of individuals. These are a potential source of information for models of …